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Go-to-Market Playbook: What It Is, What Goes in It, and Who Builds It
If you’ve ever watched two salespeople describe your own company two different ways, you already know why you need a go-to-market playbook. One rep leans on the relationship. Another leans on price. A third has never fully landed on what makes you different in the first place. None of them are wrong, they just never had a shared script to work from. A go-to-market playbook is that shared script. It’s the single document that tells every rep, new hire, and leader how you win deals: who you sell to, what you say, how you qualify, how you quote, and what “good” looks like at each stage. Without one, growth depends on a handful of people who happen to carry the story in their heads. With one, growth becomes something you can teach, repeat, and scale. What a Go-to-Market Playbook Actually Is A go-to-market playbook isn’t a slide deck that lives in a shared drive and never gets opened again. It’s a living operating document for your sales team, closer to a training manual than a strategy memo. The best playbooks get used in real deals, in onboarding, and in weekly coaching, not just referenced once during a kickoff. It’s also different from a go-to-market strategy template, though the two are related. A strategy template usually maps the big picture: target markets, positioning, pricing tiers, channel mix. The playbook picks up where the strategy leaves off and gets tactical, the exact questions a rep asks on a discovery call, the objections they’ll hear and how to handle them, the quote format that goes to every customer the same way. What Goes Into It A strong go-to-market playbook usually includes: Positioning and messaging, your value proposition stated the same way by everyone, tied to what actually wins deals, not what sounds good in a boardroom Ideal customer and buyer personas, who you sell to and who influences the decision A discovery framework, the qualifying questions that keep deals from stalling later because something basic got missed Objection handling, the answers to the pushback you hear on repeat, written down instead of reinvented every call Quoting and proposal standards, one template, one process, so quotes don’t turn into six-email roundtrips before they reach the customer Onboarding and ramp plan, how a new hire goes from “knows the product” to “can run a deal solo” Sales cadence and pipeline stages, what happens weekly, and what “stage 3” actually means so forecasts mean something I’ve seen this play out directly with a services company scaling into a new market. A diagnostic of their sales process turned up six gaps, no CRM, no shared value proposition, scattered quote templates, no formal onboarding, all traceable to the same root cause: everything ran through two people’s heads instead of a documented system. The fix wasn’t more headcount. It was building the playbook that let the team’s existing knowledge scale beyond those two people. Who Builds It The playbook can’t be built from a template alone; it has to be built from what’s actually happening in your sales conversations. That usually means: Sales leadership brings the process knowledge, what’s working, where deals stall, what reps actually say Top performers contribute the language and instincts that close deals but rarely get written down RevOps or a fractional GTM advisor structures it into something usable and keeps it tied to CRM data, not gut feel Marketing aligns messaging so sales and marketing tell the same story Many SMBs bring in outside help for this, not because their team doesn’t know how to sell, but because building and maintaining the document takes dedicated time most sales leaders don’t have alongside a full pipeline. A fractional GTM partner can run the discovery, capture what’s already working, and turn it into a document the team will actually use. The Bottom Line A go-to-market playbook turns tribal knowledge into a repeatable system, the difference between a sales team that scales and one that’s capped by how many deals two or three people can personally carry. If you don’t have one yet, start smaller than you think: document the discovery questions and objection responses your best rep already uses. That’s the first page of the playbook, and it’s usually the one that pays back fastest. What’s the difference between a go-to-market playbook and a go-to-market strategy? The strategy sets the big picture: target markets, positioning, pricing tiers, and channel mix. The playbook is the tactical layer underneath it, the exact discovery questions your reps ask, the objections they’ll hear and how to answer them, and the quote format that goes out the same way every time. Put simply, the strategy tells you where to play, and the playbook tells your team how to win once they’re in the conversation. How long does it take to build a go-to-market playbook? It depends on how much is already documented versus living in your team’s heads. A focused first version, positioning, discovery questions, and objection handling, can come together in a few weeks when you pull from what your best reps already do. From there it grows. Most teams start small, ship the sections reps reach for most, and add to the playbook as the process matures.
How to Improve Sales Performance: 4 Strategies That Work
Most sales leaders assume a slow quarter means the team needs more calls, better leads, or more motivation. Research tells a different story. In a study of over 300 sales calls across 25 organizations conducted by The Sales Board, 63% of salespeople never asked for commitment at all. The problem wasn't effort. It was process. Improving sales performance rarely comes from pushing harder. It comes from giving every rep the same repeatable process: a clear commitment decided before each interaction, questions that uncover real differentiation, value tied to what the prospect already needs, and a defined way to ask for commitment. That shift, from hustle to structure, is the whole answer. The rest of this post is the “why” and the “how.” Why Sales Performance Problems Are Usually Process Problems When a deal stalls or a rep misses quota, the instinct is to add pressure: more calls, more pipeline, more hours. Most reps aren't failing because they aren't trying. They're failing because they don't have a repeatable way to run a sales conversation. Without a process, every call depends on the rep's memory, instinct, and mood that day. Some days that works. Most days it doesn't. A process gives every rep, from your newest hire to your top performer, the same reliable path to a commitment. The 4 strategies below build that path. Install them one at a time and coach them consistently, and you'll see steadier performance across your whole team, not just from your best rep. Strategy One: Decide on Your Commitment Before You Get Started Before every sales interaction, decide what you want the prospect to agree to by the end of it. This is different from deciding what you want to learn or accomplish for yourself. What You Want to Learn or Accomplish What You Want the Prospect to Commit To Learn about the prospect's current process Schedule a discovery meeting Introduce your company Get agreement to review a proposal together Understand who makes the final decision Get a signed agreement Learning goals are useful. They just don't move a deal forward on their own. A meeting can go well, feel productive, and still end with nothing decided. That's a learning goal without a commitment behind it. The commitment you decide on should match the next milestone in your sales cycle. If the next milestone is a discovery meeting, aim for that, not a signed agreement. Map out the milestones in your sales cycle, and the right commitment to ask for at each one becomes obvious. Example: picture two reps on your team, both finishing a first meeting with a new prospect. Rep A: Great talking with you. I'll follow up soon. Prospect: Sounds good. Rep B: Based on what you shared today, I'd like to put together a short proposal and walk through it with you next Thursday at 2pm. Does that work? Prospect: Yes, let's do that. Neither rep did anything wrong in the conversation itself. But only Rep B walked in with a decided commitment to ask for, and only Rep B walked out with the deal moved forward. Coaching tip: before every call, ask each rep one question: “What do you want the prospect to agree to by the end of this call?” If the answer is vague, the call has no target to hit. Strategy Two: Ask Questions That Uncover Your Differentiators Most reps ask the same needs questions every competitor asks: “What are your biggest challenges?” or “What's not working with your current vendor?” These questions are fine, but they potentially surface needs anyone can solve. That's how a sale turns into a price competition. Most salespeople think differentiation happens in the pitch. It doesn't start there. Differentiation gets built during discovery and lands when you present your solution. Skip the groundwork in discovery, and no presentation later can make up for it. Differentiation-focused questioning means asking about the prospect's situation with your specific strengths in mind. Before the call, list out what makes you, your company, and your solution different from the competition. The more of these differentiators you can build questions around, the more differentiated your position becomes. Then build questions that only make sense to ask if that difference matters to this buyer. A useful pattern: start with a general question about the problem, follow up with something more detailed, then ask a question that brings real emotion or urgency into the conversation, not just logic. General: “What would you want to see improved about your current process?” Follow-up: “What kind of errors come up when information is incomplete?” Emotion or urgency: “What would continued errors like this do to your reputation in the market?” Teams that ask mostly open-ended questions close more often. In the Sales Board research, successful calls had 25% more open-ended questions than closed-ended ones. Failed calls had 86% more closed-ended questions than open-ended ones. Example: Rep (closed, generic): Are you happy with your current vendor's response time? Prospect: It's fine, I guess. Rep (open, differentiated): Walk me through what happens on your end when your vendor is slow to respond. Prospect: Honestly, we scramble. Last month a delay cost us a client meeting. The second question doesn't just get a longer answer. It surfaces a need that a fast, reliable response time, if that's your differentiator, directly solves. Coaching tip: have each rep list out their differentiators, then draft a general and a follow-up question for each one before their next call. Strategy Three: Build Value Propositions Around a Differentiator, Not a Feature List A common mistake is presenting a wall of features and hoping the prospect connects the dots. Most won't. Research from The Sales Board found that 82% of salespeople fail to differentiate themselves from competitors, and a feature-heavy pitch is one of the biggest reasons why. A value proposition works because it does the connecting for them: it ties a specific strength directly to a need the prospect already agreed they have. A simple structure: Remind the prospect of the need they already agreed to. State the specific feature or capability that addresses it. Explain what that means for the prospect in time, money, or risk. Ask a question that confirms it landed. Look closely at that structure. Only one of the four steps is about you, your company, or your solution. The other three are about the prospect: their need, their outcome, their reaction. A value proposition built this way stays centered on the customer instead of your solution. Example: Feature dump version: We offer 24/7 support, cloud backup, mobile access, real-time reporting, single sign-on, a dedicated account manager, and API integrations with most major platforms. Value-tied version: You mentioned that a system outage last quarter cost you a full day of lost orders. Our platform runs automated cloud backups every hour, so if something goes down, you're back online in minutes instead of losing a day. What would avoiding that kind of downtime save you in overtime and recovery costs each quarter? The second version connects to a need the prospect stated out loud. The prospect doesn't have to guess why the feature matters. The rep already told them. Coaching tip: for every differentiator on your team's list, have reps write the answer to “so what does this mean for the customer, in dollars, time, or risk?” If they can't answer that in one sentence, it's a feature, not a value proposition yet. Strategy Four: Follow a Process for Asking for Commitment The Sales Board research found that reps attempt to gain commitment in only 37% of sales calls. That means in 63% of conversations, no one ever asks the prospect to move forward. The deal quietly stalls, and a stalled deal is more likely to end up lost to a competitor who does ask. Three reasons show up again and again: No commitment was decided on going in, so there's nothing specific to ask for. Buying signals get missed because the rep is focused on what to say next instead of listening. There's no repeatable process, so asking feels risky or awkward. Summarize the value tied to the need the prospect already agreed to. State the price or time investment clearly. Ask directly for the next step. A simple, repeatable process removes the guesswork: Example, asking for the sale: Rep: Based on what we've covered, this solution addresses the delivery delays you mentioned and should reduce them by roughly a third. The investment is $2,000 a month. Would you like to move forward with a 90-day pilot starting next week? Prospect: Sounds good, let's get started. Example, asking for the next conversation: Rep: Based on what you've shared about your onboarding process, I'd like to set up a 30-minute call next week to walk through it together and pinpoint exactly where the delays are coming from. Does Tuesday at 10am work? Prospect: Sure thing, that works for me. The commitment doesn't have to be the sale itself. Early in the sales cycle, it might just be the next conversation. Either way, the process is the same: summarize the value, state what it will take, and ask directly. Coaching tip: role-play the ask in team meetings until it feels automatic. When you review recorded calls, check for one thing first: did the rep ask for commitment, and when? There's More to Sales Performance Than These 4 Strategies These 4 strategies won't cover everything that affects sales performance. Listening skills, rapport building, objection handling, and reviewing your own calls after the fact all matter too. We'll cover those in a future post. For now, installing these 4 strategies across your team is a strong place to start. So, How Do You Actually Improve Sales Performance? It rarely comes down to hiring better talent or pushing harder. It comes down to giving your team a repeatable process: a clear commitment decided on before every interaction, questions that uncover real differentiation, value propositions tied to what the prospect already agreed matters, and a simple process for asking for commitment. A study by the Aberdeen Group compared the results of companies using Action Selling against the results of companies using other leading sales training providers. Action Selling clients saw: 37% of reps hit quota, compared to 24% with other sales training providers Average deal sizes 34% higher, compared to 19% with other sales training providers Customer retention at 27%, compared to 14% with other sales training providers Sales cycles reduced by 26%, compared to 11% with other sales training providers Start with one strategy. Coach it until your team does it without thinking. Then move to the next. Structure beats hustle. What's the difference between a goal to learn something and a goal to gain a commitment? A goal to learn something is about what you want to accomplish for yourself, like understanding the prospect's current process or learning who makes the final decision. A goal to gain a commitment is about what you want the prospect to agree to, like scheduling a follow-up meeting or signing an agreement. You can walk away from a call having fully met the first kind of goal and still have nothing decided, because the second kind is what actually moves a deal forward. How can my team differentiate when we sell a commodity product? Differentiation doesn't have to come from the product. It can come from your company: how you do business, your responsiveness, your track record with similar customers. It can come from you, the salesperson: your expertise, how well you understand their business, and the fact that you're easier to work with than the average account manager they've dealt with before. A commodity product still gets bought from someone. Give the prospect a reason for that someone to be your rep. Why do sales reps avoid asking for commitment? Research shows most reps never formally ask. Common reasons include not deciding on a commitment before the call, missing buying signals during the conversation, and not having a simple, repeatable process to fall back on. How do I know if these strategies are actually improving performance? Track the metrics the Aberdeen Group study used: quota attainment rate, average deal size, customer retention, and sales cycle length. Improvement in these numbers over a quarter or two is a reliable sign the process is working.
Harness Sales Expertise and AI Innovation in Tandem
None of us, no matter our success, is a finished product. Professional growth isn’t achieved; it’s developed. It is cumulative – bit by bit, little by little over time. It is an active, always-on process. That is especially true in sales, where ongoing training is key to building a team that delivers predictable, scalable, and sustainable deals. Every rep, regardless of skill, level, or close rate, has room for growth and can benefit from continued reinforcement and refinement. Many organizations don’t need to be sold on the merits of sales training. They’ve actively invested in it before or have considered implementing a program. It’s the long-term success of the typical program that gives them pause – the further reps get from the training, the less likely they are to apply the skills learned and revert to old habits. That’s where the emphasis on “ongoing” becomes critical. To maximize effectiveness and impact, training can’t be a one-off event or even an annual commitment. It must be continuous. But sales leaders simply don’t have the capacity to consistently monitor every rep’s progress and performance within the framework and provide regular, meaningful feedback on how to improve. A year ago, using AI to close that gap felt novel. Today it’s becoming the expectation. The question for most sales leaders is no longer whether AI belongs in their coaching model, but whether they’re using it to reinforce a proven methodology or just bolting it on. That distinction is where Tandem comes in. A Revolutionary AI-Driven Sales Coaching Solution Tandem by Action Selling® is revolutionizing sales training with a groundbreaking platform that delivers AI-driven coaching specific to our award-winning system. Fusing the iconic 9 Acts sales methodology with leading generative AI, Tandem allows organizations to shift from one-off training to a scalable, subscription-based coaching model that augments the Action Selling program to: Increase adoption and application of critical skills Reduce coaching time from leadership Ramp up new talent faster and more efficiently Prevent costly mistakes in sales meetings Drive confidence, consistency, and performance Meaningful Benefits Drive Measurable Results Leveraging Action Selling expertise and AI innovation in Tandem offers the benefits of hands-on coaching in a scalable experience that enables sales teams to: Roleplay With Confidence: Increase valuable roleplay in a private practice environment to drive increased application of the Action Selling methodology. Create Client-Specific Personas: Build highly realistic roleplay scenarios based on your ICP and sales environment to prepare and build confidence for meetings. Simulate Real-World Sales Calls: Practice key stages of the 9 Acts – including building credibility, uncovering needs, presenting solutions, and gaining commitment – with an AI coach that mimics realistic buyer interactions. Reinforce Critical Skills on Demand: Access practice opportunities that complement live training and ensure behavior change aligned to the proven 9 Acts framework. Receive Real-Time, Private Feedback: Get immediate, judgment-free insights on delivery quality, objection handling, and message clarity to sharpen skills in the moment. Analyze and Refine Communication: Enhance communication skills through call analysis that tracks and identifies areas for improvement. Scale Coaching Across Teams: Give managers and enablement leaders actionable insights to identify coaching moments, monitor trends, and drive team-wide improvements in sales execution. Advanced Reporting Provides Performance and Progress Insights For sales leaders, Tandem not only helps support the ongoing training and continuous improvement of reps but also provides valuable insights into their development. Advanced reporting functionality offers visibility into: Roleplay Feedback: See how each rep is improving against their goals with scenario rubrics. User Engagement: Discover how often members are roleplaying with Tandem. Overall Progress: Learn how each rep is progressing through segments of their learning path. Certification Feedback: Uncover focus areas for the ongoing development of each rep. The Evolution of a Proven System For over three decades, the Action Selling methodology has equipped sales teams with the tools and processes to win more deals by mastering consultative selling, building trust, gaining commitment, and presenting value effectively. Tandem is the evolution of that system. In many ways, it represents a tenth stage in the methodology, supporting the continued rehearsal, reinforcement, and refinement that helps teams turn proven methodologies into consistent results. What is Tandem by Action Selling? Tandem is an AI-driven sales coaching platform built on the Action Selling 9 Acts methodology. It lets reps practice real sales conversations in a private environment, get instant feedback, and reinforce proven skills between live training sessions, turning a one-time program into continuous coaching. How is Tandem different from generic AI sales tools? Most AI sales tools are built around generic best practices. Tandem is trained on the specific 9 Acts methodology, so the coaching, scoring, and feedback all reinforce the same framework your team was trained on. The AI scales the practice; the methodology keeps it consistent. Does AI coaching replace human sales managers? No. Tandem handles the repetitive reinforcement and practice that managers rarely have time to deliver rep by rep. That frees leaders to focus their coaching where it matters most, using Tandem’s reporting to see exactly which reps and which skills need attention. Why does ongoing reinforcement matter more than a single training event? Skills fade without practice. The further reps get from a training event, the more likely they are to revert to old habits. Continuous reinforcement is what turns a learned skill into a consistent behavior, which is why Tandem is designed for daily, on-demand use rather than an annual refresh How does Tandem help ramp new sales reps faster? New reps can practice realistic buyer scenarios built around your ICP before they ever face a live prospect. They build confidence and get feedback privately, so they make their mistakes in practice instead of in real sales meetings, which shortens the time to productive selling.
Your B2B Website Is a Salesperson. Is It Pulling Its Weight?
Some companies look great from the outside but hide a real problem. Sales are up. The pipeline is full. The team wins deals. But look at where each customer came from. It is almost always a referral, a cold call, or a relationship. The website had nothing to do with it. This is very common for mid-market B2B companies. It is also risky. Referrals and cold calls still work. But they have a ceiling. They only grow when you add people. They lean on a few key players. And they leave one channel doing nothing, the one that could sell even while your sales team sleeps. Your website is already a salesperson. The question is whether it is doing any selling. The Referral Trap Referrals feel great. And they are a good sign. But they prove that people liked your past work. They do not prove you can create new demand on your own. Here is the trap. Referral-based growth feels healthy, right up until it isn't. The pipeline looks full. Win rates are high. Then a top rep quits. A big account leaves. The market slows down. And you have no backup plan to bring in new deals. The best companies treat their website as a way to create demand. Not a brochure. Not a badge for buyers who already trust you. A real tool that finds new buyers, teaches them, and turns them into leads. This matters more in 2026 than ever. Your buyers do their own research first. Even the ones who come from a referral. They type questions into Google. They ask ChatGPT and Perplexity to compare their options. They form opinions about you before they ever talk to a person. If your website is not part of that research, you are not on their list. What Most B2B Websites Actually Do Look at ten mid-market B2B websites in any field. You will see the same setup almost every time. A homepage with a slogan no one outside the company gets. A Services page that lists what they do but not why it helps the buyer. An About page that says “our people are our greatest asset.” And a Contact form that might as well say “reach out when you are ready to buy.” These sites are built for the company, not the buyer. Each part answers a question the company wants to answer. Almost none of it answers what the buyer is really asking. Things like: Do they get my problem? Have they fixed it for someone like me? What will it cost? What happens after I reach out? So the website becomes a checkpoint. Buyers visit it after they already chose to talk to you, just to make sure you are real. It does not create new deals. That wastes an asset you already pay for. How Search and AI Work Together Now Six years ago, visibility was simple. Rank on page one of Google for what your buyers search, and traffic follows. That is still true. But it is no longer the whole story. AI search has changed how buyers look for vendors. Think Google's AI Overviews, ChatGPT, Perplexity, and Gemini. Instead of clicking ten links and sorting it out, buyers now ask one question and get one answer. And the sources behind that answer are not random. They come from the same kinds of sites Google has always liked. Sites with clear know-how, well-organized content, steady publishing, and strong signs of trust. So the path to AI visibility runs right through good old SEO. The common thread is trust. Google uses a test called E-E-A-T. It stands for Experience, Expertise, Authority, and Trust. That same test decides whether your content shows up in an AI answer. Write clear, useful, specific content that proves you know your work, and you show up in both places at once. For B2B companies, this is a big chance. Most of your rivals' sites do not clear this bar. They have the same brochure problem you do. The company that starts building real, helpful content pulls ahead. And that lead grows over time. Referrals and cold calls cannot match it. Humans Close Deals. Websites Fill the Funnel. Here is what AI has made clear. Big B2B deals are still human. No one picks an IT provider, a marketing agency, or a services firm through a chatbot. The trust, and the read on whether you are a good fit, happen between people. But what comes before that talk has changed. Buyers know more, dig more on their own, and doubt more than they did six years ago. By the time a buyer agrees to a call, they may have read three of your blog posts. They may have watched a rival's case study. They may have asked an AI to compare you to two others. That first call is no longer the intro. It is the test. This raises the bar for your website. Being believable is not enough. It has to be convincing. It has to move a careful, well-read buyer from “just looking” to real interest. Then it has to hand that buyer to your sales team at the right time with the right background. That is not a brochure. That is a sales system. What a Lead-Generating Website Needs A clear answer to the buyer's first question A first-time visitor has one question. “Is this company for me?” Your site should answer that in seconds. Say who you help, what problem you solve, and why you are the right pick. A vague line like “We help businesses grow” says nothing. A clear line like “We build revenue systems for mid-market B2B companies that have outgrown their CRM” says a lot. It makes them want to keep reading. Content that builds trust before the call The best thing your site can do is prove your skill before anyone asks. A set of truly useful content does three jobs at once. Think guides, simple frameworks, and honest points of view from people who have done the work. It builds trust with buyers. It shows Google and AI that you know your field. And it gives your sales team things to share during the sale. This is not about pumping out lots of posts. It is about proof that you can be trusted. Ways to reach out that match the buyer Not every visitor is ready to ask for a proposal. A site with only one button, “Contact Us,” only catches buyers who already decided. Good B2B sites offer a few options. A big-step option for ready buyers, like book a call or get an assessment. A mid-step option for people still checking, like download a guide or join a webinar. And a small-step option for early researchers, like subscribe or read more. The goal is to catch buyers at every stage, not just the ones at the finish line. Tracking tied to sales, not vanity numbers The old numbers were page views, bounce rate, and time on site. Those are just stand-ins. What you really want to know is simple. Which content brings in good visitors? Which paths lead to sales talks? And what is a website lead worth next to a referral or a cold call? Tools like GA4 and HubSpot can answer this when set up right. The shift is from tracking activity to tracking real pipeline. Hold your website to the same bar you hold your sales team. A solid technical base for search and AI Visibility is not just about content. It is also technical. Schema markup, for articles, FAQs, and authors, helps Google and AI see what your content is, who wrote it, and why to trust it. Fast load times, good mobile performance, and a clean site setup decide whether your content even gets found. This work is not flashy. But it holds up everything else. The Math That Makes the Case CEOs who doubt marketing spend often ask the same thing. “What is this really worth?” It is a fair question. Here is a way to answer it before you spend a dollar. Start with the value of one customer. Take their yearly spend and multiply it by how long they stay. Next, find your close rate on good leads. Then figure out how many good leads your website would need each month to pay for itself. At normal B2B close rates and deal sizes, just one extra good lead a month often covers the whole program. That is true even for a site that used to bring in zero. Here is the better way to think about it. Your website is not a cost with a fixed budget. It is a channel with a clear cost per lead. And you can improve that cost over time. A sales rep can get hired away. A referral network stops growing once you have used up your contacts. Your website does neither. It builds on itself. Where To Start Most companies do not need a full rebuild to start getting leads from their site. They need to make a few clear choices. Who is the site for? What should it say? How should it turn visitors into leads? And how will you measure it? Companies that do this well share one trait. They stop treating the website like an IT project or a design task. They treat it like a revenue tool. Every choice, what to write, what to offer, what to track, runs through that lens. Your sales team already works hard. The question is whether your website works at all. Frequently Asked Questions How long before a B2B website starts bringing in leads? Paid search can bring in good traffic within days. Organic search and AI visibility take longer. Plan on three to six months before your content pulls steady traffic. But those gains build over time in a way paid ads do not. Most companies run both at once. Paid for quick wins, organic for long-term value. Do I need a lot of content to rank in search and AI results? Quality beats volume. A tight set of twenty well-researched, truly useful posts on what your buyers search will beat a hundred thin ones. The goal is to be the most useful, most trusted source on the few topics your best customers care about. You do not need to cover everything. Is SEO still worth it now that AI is changing search? Yes. AI search pulls from the same trust signals as regular search. The content, authority, and trust that help you rank in Google are the same things that get you cited by AI Overviews, ChatGPT, and Perplexity. SEO and AI visibility are not two different bets. They are one bet seen from two sides.
Migrating Your Website to HubSpot
Somewhere in every migration kickoff, someone asks how hard this is really going to be. The honest answer is that it depends on decisions made in the first two weeks, long before anyone touches DNS. Most migrations don't fail on launch day. They fail earlier, when the redirect map gets treated as a task for later and nobody writes the content model down. So what does a HubSpot migration actually involve, done properly? Five things: crawl the existing site first, build the theme in Git, script the content transport, test every redirect by machine, and treat DNS cutover as a scheduled, reversible event. Do those five and launch day is boring, which is exactly what you want. The rest of this post is the how. The Migration Lifecycle at a Glance Before getting into each phase, here's the shape of the whole project and where each phase tends to go wrong. Phase What You're Doing Where It Goes Wrong Crawl and audit Spider every URL, map content types, prune dead pages Skipped entirely, so every later phase runs on guesswork Theme build HubL templates, modules, fields.json, all in Git Built in the design manager with no version control or rollback Content transport Import or script content and media into HubSpot Imported HTML full of inline styles and links to the old domain Redirects and cutover Build and test the 301 map, then flip DNS Untested redirects, chains, and a TTL nobody lowered in advance Start With a Full Crawl of the Existing Site Before anyone writes a template, spider the current site. Screaming Frog or Sitebulb will do, or a headless crawler if you'd rather script it. Export every URL with its status code, canonical tag, hreflang annotations, and meta fields. That export is your source of truth for the rest of the project. Then cross it against analytics. A page with zero sessions in the past year is a candidate for consolidation, not migration. Every URL you decline to carry over is one fewer 301 to maintain forever, and pruning now is much cheaper than pruning after launch. While you're in there, sort every page into a content type: landing page, blog post, resource, product page, system page. Legacy CMSs accumulate structural junk over the years. Orphaned templates, shadow taxonomies, inline styles nobody remembers adding. HubSpot's template model will force this classification on you eventually, so do it on purpose now instead of discovering it during QA. Build a Theme The HubL Templating Layer HubSpot renders through HubL, a templating language derived from Jinja2. If you've touched Django, Twig, or Nunjucks, you already know the syntax: variable interpolation, if-blocks, filters piped with a vertical bar. The difference is the context. HubL exposes CRM data (contact, content, request) directly in the render path, which is how the smart content and personalization features actually work. Structure the build as a proper theme. That means a fields.json at the theme level holding brand tokens, type scales, and spacing values, so marketers can adjust settings without editing code. It means templates that map one-to-one onto the content types from your crawl. And it means modules: self-contained components with their own fields, markup, CSS, and JS, each doing one job with nothing leaking into global scope. For cross-cutting concerns like JSON-LD, write a macro once instead of pasting script tags into every template. Develop Locally With the CLI The HubSpot CLI syncs your filesystem to the portal, which means the theme lives in Git, goes through pull requests, and deploys through CI like anything else you ship. Teams that build directly in the design manager give up version control, code review, and rollback for no real reason. Put Repeatable Content in HubDB Anything on the old site that looks like a table belongs in HubDB: team directories, office locations, resource libraries, comparison data. Design the columns deliberately. Use SELECT and MULTISELECT for enumerable values instead of free text, use foreign-key rows where real relations exist, and save rich text columns for content that genuinely needs markup. The payoff is dynamic pages. Bind one template to a table and HubSpot generates a URL per row, each with its own meta fields. Two hundred location pages collapse into one template and one table. Query the table server side and paginate. Don't ship the whole table to the browser and filter it in JavaScript; it's slower and search engines see less of it. Moving the Content Itself HubSpot's built-in blog importer handles WordPress exports and RSS feeds reasonably well, though "reasonably" is carrying some weight in that sentence. Check the imported HTML for inline styles, absolute URLs still pointing at the old domain, and images that never made it into the file manager. Past trivial volume, script the transport through the CMS API. Pull from the source system, transform the content (rewrite internal links, remap media to HubSpot's CDN, clean up the markup), and POST to the pages or blog endpoints. Key the script on source IDs so a re-run updates records instead of duplicating them. You will re-run it. Everyone re-runs it. Media gets its own pipeline. Bulk-upload assets to the file manager through the API, capture the CDN URLs it returns, and use that mapping during transformation. The CDN converts to WebP and resizes on the fly through query parameters, so generate srcsets instead of uploading five sizes of every image. The Redirect Map Protects Everything Else Every legacy URL that changes needs a single-hop 301 to its replacement. Build the map from the crawl, not from memory, and check it for chains and loops. A 301 that points at another 301 wastes crawl budget and weakens the signal you're trying to preserve. This is the step that decides whether your search visibility survives the move intact. Load the result into HubSpot's URL redirect tool. For systematic path changes, one flexible pattern redirect with capture groups replaces thousands of static rows. Then test it before cutover, not after. Script a HEAD request against every old URL and assert that each one redirects exactly once and lands on a 200. Fix every 404 the script turns up before you touch DNS. DNS Cutover Without the Drama Domain connection is CNAME based: your www host points at HubSpot's edge, and TLS provisioning follows automatically once the domain validates. The sequencing matters more than the mechanics. Drop your DNS TTL to 300 seconds at least two days before the switch so propagation is fast and reversible. Connect and verify the domain in HubSpot while traffic still resolves to the old origin. Flip the record during a quiet window and keep the legacy environment running as a rollback target until the numbers look right. One thing to check early: apex domains need a DNS provider that supports CNAME flattening or ALIAS records. Confirm yours does before launch day, not during it. When You Shouldn't Migrate Yet Not every site is ready to move, and forcing the timeline creates the exact failures described above. If nobody can produce a content inventory, the audit comes first. If the team can't tell you which pages drive pipeline, fix measurement before moving anything. Say your current site has thousands of thin, auto-generated pages. Migrating them as-is just relocates the problem. Prune first. And if the redirect map can't be tested because nobody knows the full URL set, you're not ready to schedule cutover. The crawl solves that, which is why it comes first. So, When Is the Migration Actually Done? When the data says so, not when the new site loads. Resubmit your XML sitemaps in Search Console and watch the coverage report for a spike in 404s or soft 404s. Confirm the new URLs are getting indexed as the recrawl wave moves through. Keep an eye on Core Web Vitals in field data; HubSpot's CDN gives you a decent baseline, but JavaScript bloat inside your own modules is still yours to own. Expect some volatility in organic impressions for two to four weeks. That part is normal. A decline that persists past that window usually traces back to the redirect map or to content that didn't make the trip, and the crawl from step one is how you diagnose either. Run the project this way, with the theme in version control, the content typed, the transport scripted, and the redirects tested by machine rather than by hope, and launch day should be uneventful. If the cutover itself is exciting, something went wrong earlier.
Should You Still Invest in Google Ads as AI Changes Search?
It's a fair question. People are using ChatGPT or another LLM to research products. Google is answering more questions directly in search results. AI Overviews can summarize an answer without the person ever clicking a website. So, do businesses still need to invest in Google Ads? Yes. AI is absorbing the early research stage of the buyer journey, not the moment someone decides to act. Google Ads still capture that moment, the search that happens once a person already knows roughly what they want and is comparing specific options. That distinction, between researching and buying, is the whole answer. The rest is the “why” and the “how.” Researching Intent vs. Buying Intent: The Distinction That Matters Now Think about how you use search compared to a few years ago. I used to Google almost everything. Now, if I'm trying to understand a complicated topic, compare a few ideas, or figure out what I should even be asking, I'm probably starting with ChatGPT or Claude. I'm not alone. Some of the searches businesses used to rely on for traffic are shifting there too. Someone looking for a basic definition may never click through to a website. AI can answer that on its own. But researching and buying aren't the same thing. At some point, the person researching a problem has to find the company, product, or service they're actually going to use. Researching Intent The searcher is still learning, comparing categories, or figuring out what to even ask. Example: “what is account-based marketing.” Buying Intent The searcher already knows what they want and is comparing specific providers. Example: “ABM agency” or “best ABM agencies for SaaS.” Intent Type Example Search Where AI Shows Up Where Google Ads Shows Up Researching “what is account based marketing” Often fully answered by AI, no click needed Rarely converts, low commercial value Buying “best ABM agencies for SaaS” AI may shortlist options High-intent moment, Google Ads’ strongest zone AI can easily answer the first kind of search. It can't replace the second kind, because at that point the person is choosing between real options, and that's exactly where Google Ads have always been strongest. Google Ads Capture Demand. They Don't Create It. This is something I think gets lost in paid search conversations. Google Search Ads are really good at capturing existing demand. Someone has a problem. They know enough about that problem to search for a solution. Your ad shows up at that exact moment. But if nobody is searching for what you sell, adding more keywords and increasing the budget isn't going to magically create demand. I've seen businesses try to force Google Ads to work for products or services people don't know exist yet. The campaigns struggle, and eventually the conclusion is that “Google Ads don't work.” Sometimes that's not the problem. Sometimes the business is trying to capture demand that doesn't exist yet. That's where other channels matter. Paid social, video, content, events, and PR can introduce the problem or solution before someone ever opens Google. The job of Google Ads is to be there once that awareness turns into intent. Branded Search May Matter More, Not Less This is the part I keep coming back to. More research is moving into ChatGPT, AI Overviews, Gemini, etc. People may do less of their early research on traditional search engines. But what happens after the research? In my experience, this is often where branded search comes in. A buyer used to search ten different questions and visit ten different websites. Now they might ask an AI tool to help narrow down their options, then go to Google and search the names of the two or three companies they want to look at further. That makes a deliberate branded search strategy more important, not less, as AI reshapes how people research. Someone might already know your brand from Claude, a podcast, LinkedIn, or a recommendation. Their Google search isn't necessarily the start of their journey. It might be one of the last steps. I push back on one common claim: “We rank number one organically for our brand, so we don't need to run branded ads.” Maybe. But I want to look at the actual search results first. Are competitors bidding on your name? Are third-party review sites showing up? Is a large AI Overview, shopping block, or local pack pushing your organic listing down the page? The search results page isn't ten blue links anymore, and owning more of it can matter, especially when the person searching already knows who you are. SEO, GEO, and Paid Search Aren't Separate Islands Marketing teams love putting channels into boxes. SEO owns organic search. Paid media owns Google Ads. Someone else is suddenly responsible for GEO. What GEO Actually Means GEO, or generative engine optimization, is about making it easy for AI systems like ChatGPT, Gemini, and AI Overviews to understand and surface your brand in generated answers. That's not how people actually research, though. A buyer might discover a company in ChatGPT. Then they see the brand again on LinkedIn. They Google the company name, click a paid ad, and leave. Three days later they come back through an organic search. They finally convert through direct traffic. Which channel gets credit? Wrong question. The better question is whether the company was visible throughout the process. Google Ads don't directly make a company more likely to get cited by an LLM (ChatGPT, Claude, Gemini, etc) or show up in an AI-generated answer. But paid search still supports the bigger visibility picture. It helps capture demand created elsewhere. It gives you faster feedback on the words buyers actually use. And it shows you which problems and solutions drive action, not just traffic. That information should get shared across paid search, SEO, content, and GEO. The channels are different. The person researching doesn't care. When Google Ads Aren't the Answer I love Google Ads. I also don't think every business should run them. If there's little to no search volume for your product or service, search ads may not be the best place to start. Say your sales cycle is long, and your conversion tracking stops at a form fill. You might end up optimizing for leads that never become customers. If your landing page doesn't clearly explain what you do, more traffic won't fix that. And if you can't connect marketing activity to actual business outcomes, spending more won't help. You'll just spend more without knowing what's working. Google Ads work best when there's existing intent to capture and the infrastructure to measure what happens after the click. Without those two things, the answer isn't always “spend more.” Sometimes the answer is to fix the foundation first. So, Should You Still Invest in Google Ads? Yes, but be more deliberate about why. Google doesn't own the entire research journey anymore. The value of Google Ads is that search still captures moments of intent. AI may help someone understand their problem and build a shortlist. But when that person searches for a solution, compares providers, or types a brand name into Google, there's a reason behind it, and that's the moment Google Ads can still be incredibly valuable. If you're not sure where your brand actually shows up right now, across paid, organic, and AI-generated answers, that's worth a real look before you touch the budget. See Where Your Brand Shows Up in Search Get a free look at your brand's visibility across paid search, organic results, and AI answers like ChatGPT and Google's AI Overviews, before you decide where to shift budget. Frequently Asked Questions Is Google Ads still worth it if people are using AI to research? Yes, for the buying stage. ChatGPT and AI Overviews are absorbing early, informational research queries, but Google Ads capture the later moment when someone already knows what they want and is comparing specific options, which is where paid search has always performed best.. What is GEO in marketing? GEO stands for generative engine optimization. It's the practice of structuring content so AI systems like ChatGPT, Gemini, and Google's AI Overviews can understand it and surface it in generated answers, similar in spirit to SEO but built around how AI systems extract and cite information rather than how they rank pages. What is the difference between AEO and SEO? SEO, or search engine optimization, focuses on ranking web pages in traditional search results like Google's blue links. AEO, or answer engine optimization, focuses on getting content selected as the direct answer in featured snippets, voice search, and AI-generated responses. SEO is about visibility on a results page, while AEO is about being the answer itself, and both rely on similarly clear, well-structured, and specific content. Should branded search campaigns be cut if a company already ranks first organically? Not automatically. Ranking first organically doesn't account for competitor bidding on your brand name, review sites appearing above your listing, or AI Overviews and shopping blocks pushing your organic result further down the page. Check the actual search results page before dropping branded ad spend. Do Google Ads help a brand get cited by AI tools like ChatGPT? Not directly. Google Ads don't influence whether an AI system cites or surfaces a brand in a generated answer. What paid search does provide is faster data on the exact language buyers use and which offers drive action, information that can inform SEO and GEO efforts even though the channels themselves work independently. What's the difference between researching intent and buying intent in search? Researching intent is a searcher still learning about a topic or category, for example “what is account based marketing.” Buying intent is a searcher who already knows what they want and is comparing specific providers, for example “best ABM agencies for SaaS.” AI tools increasingly answer researching-intent queries directly, while buying-intent queries remain where Google Ads perform best.
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7 B2B Sales Strategies to Grow That Your Team Can Implement This Week
Why the Basics Beat Every B2B Sales Tactic You’re Trying Most B2B business leaders aren’t struggling to grow sales because they lack ambition. It’s not even a lack of effort. Usually, success comes down to executing the fundamentals consistently and with a system. Not the flashy stuff but rather the boring, repeatable, human stuff that compounds over time. After working with over a thousand businesses and helping drive more than a billion dollars in top-line revenue growth, we’ve seen a consistent pattern. The best businesses are doing the basics better than everyone else, and they’ve built teams that do the same. What Are the Most Effective Strategies to Grow B2B Sales? To grow sales, you need to combine consistent fundamentals with intentional execution. This means structured onboarding, regular sales training, a referral-driven approach to existing clients, and a personal storytelling strategy. Businesses that implement even one or two of these systematically with clear targets and measurement see improvements in revenue and retention. Why Is Sales Growth So Hard for B2B Businesses? Sales growth is hard because in B2B many industries are commoditized and salespeople are skilled at interviewing without necessarily performing well. Growth levers like referrals, cross-sells, and client retention require intentional systems that many companies never formalize. The good news is that the fixes are straightforward, repeatable, and often don’t require a large budget. Here are seven places you can start: 1. Fix the Two Root Causes of Sales Turnover High turnover is a systems problem as much as it is a people problem. Two factors account for most sales attrition: a poor onboarding experience and insufficient training. A repeatable onboarding process reduces early churn and a formal sales training program produces measurable performance gains. Choose a training program that uses a data-driven, outcomes-based approach to measure both knowledge and application. 2. Know the Top Five Mistakes Every Salesperson Makes Even top producers repeat critical errors daily: talking too much and listening too little, failing to set clear meeting objectives, asking the wrong questions, not differentiating themselves from the competition, and failing to ask for the business. That last one is the most costly and common. Asking for the business shouldn’t only happen at the end of a sales cycle. It should happen at every stage of every conversation, whether that means asking for the next meeting, the next decision, or the next introduction. 3. Ask the One Question Prospects Never See Coming Try this in your next prospect meeting: “Tell me something about yourself that I wouldn’t know without talking to you directly.” It breaks the script, forces genuine reflection, and creates a memorable moment. The goal isn’t the answer itself. It’s the emotion the question produces: the prospect feels heard, engaged, and genuinely seen, which is the foundation of trust. This works because it sidesteps everything a prospect has already rehearsed. It requires them to think, not recite. And a prospect who thinks during your meeting is someone who remembers you afterward. 4. Structure Your Organization to Actually Scale To scale sales effectively, you need the right people in the right roles, documented processes, and technology that provides visibility. Hunters and account managers are fundamentally different profiles. Misaligning them is one of the most common and expensive mistakes in sales org design. Ask yourself: Are your hunters actually hunting, or are they managing accounts? Do you have a repeatable process your team follows consistently? Does your technology give you leading indicators, or just lagging reports? When people, process, and tools are aligned, forecasting becomes more reliable, onboarding becomes faster, and growth becomes repeatable. 5. Mine Your Existing Book of Business Your existing client base is your highest-leverage growth channel. Most referral-driven industries dramatically underuse it. Here’s how to activate it intentionally: Market mapping: Identify which clients don’t yet have products or services you offer, then create a plan to cross-sell or upsell. Warm introductions: Before a renewal meeting, pull two or three names from a client’s LinkedIn connections. Go in with a specific ask, not a vague one. Customer appreciation events: Publicly recognize your best clients. It solidifies relationships and shows prospects what it looks like to be in your corner. Measurable referral targets: Set a goal, whether that’s one referral per month or one per quarter. Track it and adjust based on what’s working. The clients you already have are doing business with you because they trust you. Make it easy and intentional for them to introduce you to people. 6. Write the Letter Your Clients Are Waiting For A personal letter from the owner or CEO to their client base is one of the most powerful and underused tools in B2B sales. This is not a company newsletter or a marketing blast but rather a direct message. Clients want to know what you’re learning, how your business is evolving, and that you’re investing in being better for them. What to include in a letter to clients: An insight or strategy you picked up at a recent industry event A challenge your business is working through and how you’re addressing it An investment you’re making in people, technology, or process A genuine ask for feedback or engagement It takes about an hour to write. The differentiation it creates in a commoditized market is outsized. People buy from people, and a letter like this is one of the most human things you can send. 7. Go Back for the Business You Lost Many clients who leave a business eventually regret that decision. It’s a significant recoverable opportunity that organizations often never pursue. Set up a re-engagement process quarterly or semi-annually and assign it to a newer team member who needs confidence-building activity. Former clients already know your firm. You don’t need to re-introduce yourself. Why wining back clients matters beyond revenue: They validate your business in a way no new client can Their story – why they left and why they came back – is your most compelling social proof They tend to be more loyal the second time around There is no more powerful proof point than a client who returned. Build a process to create more of those stories. What Growth-Minded Business Leaders Do Differently The businesses that grow consistently aren’t necessarily selling a more differentiated service. They’re executing on fundamentals that most leaders acknowledge but few formalize: They onboard with intention and train with consistency They ask questions that create emotional connection They structure their teams around strengths They mine their existing relationships before chasing new ones They tell a personal, emotional story in meetings, in letters, and online They treat lost clients as recoverable business, not closed chapters Pick one strategy from this list and implement it this week. Set a target, measure the result, and then build from there. Frequently Asked Questions What is the fastest way to grow B2B sales without a bigger budget? The fastest way is to systemize what already works. Fix onboarding and training to reduce turnover, mine your existing client base for referrals and cross-sells and send a personal letter from leadership to clients. None of these costs much money. They cost consistency, which is the part most teams skip. Why do B2B sales reps quit within the first year? Most sales turnover traces back to two causes. Reps get a weak onboarding experience, or they never receive real training that builds skill. Both problems are systems problems, not people problems. A repeatable onboarding process and a measurable training program fix the root cause instead of just replacing reps who leave. How do you get more referrals from existing B2B clients? Set a specific, measurable referral target instead of hoping referrals happen on their own. Before renewal meetings, identify two or three warm introductions from a client's network and ask directly. Clients who already trust you are your highest-leverage growth channel, but only if you build a deliberate process around asking. What should a CEO include in a personal letter to clients? A strong client letter includes an insight from a recent industry event, a challenge the business is working through, an investment being made in people or process, and a genuine ask for feedback. It should read as a direct, personal message, not a company newsletter or a marketing blast. What is the difference between a sales hunter and an account manager? A hunter is built to find and close new business. An account manager is built to grow and retain existing relationships. Misaligning the two, asking a hunter to manage accounts or an account manager to prospect cold, is one of the most common and expensive mistakes in sales org design.
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The Skill 90% of Salespeople Get Wrong & How AI Sales Tools Can Help
What Is the Salesperson’s Weakest Skill? The weakest skill for most salespeople is handling objections. Brickwork’s research, drawing on assessments of more than 350,000 salespeople, finds that over 90% of reps are ineffective at uncovering and then resolving objections. Since objections arise in most selling situations, this is a big reason why so many salespeople consistently miss quota. I’d argue it’s the most consequential and neglected skill in B2B sales. The Numbers Are Hard to Ignore 64% of salespeople fail to ask for commitment. That alone is alarming. But consider the downstream effect – you’ll never hear a customer’s objection unless you ask for the business first. Which means the 90%+ failure rate on objection handling likely understates the full scope of the problem, because it only counts reps who got far enough to encounter one. Salespeople know it’s a problem, yet they still can’t execute. Why? Because they’ve been taught the wrong things. Why Traditional Sales Training Fails on Objections The Methods Haven’t Changed in Decades The techniques most sales training companies teach for handling objections haven’t meaningfully evolved. The Feel, Felt, Found method dates back generations: “I know how you feel. Other people felt that way until they found…”. Equally persistent is the myth that objections are buying signals. Major sales training companies continue to teach this. They’re not. An objection is a customer’s response to an unasked question. It’s a signal that something critical was missed earlier in the discovery process, not an invitation to celebrate. Training Offers Tips Instead of a Process Most objection-handling frameworks from well-known training vendors collapse into the same four vague steps: Listen: As if active listening isn’t something good reps are already doing throughout the entire conversation. Question: Sound advice, but with no direction on which questions to ask or how they connect to the buyer’s specific concerns. Respond: Frequently accompanied by psychological frameworks (cognitive dissonance, behavioral research) that offer no practical, repeatable guidance. Confirm: Verifying that the objection was addressed but failing to follow through with the actual next step of asking for a commitment. These steps function as a detour. Salespeople leave the sales process, wander around, and hope to find their way back. To handle objections well, they need to stay on the path toward gaining a sale without ever abandoning their methodology. Stalls and Objections Are Not the Same Thing One of the most damaging mistakes in conventional sales training is treating stalls and objections as interchangeable. They are not, and handling them the same way almost always fails. Examples of a stall include “Let me think it over,” “Send me a proposal,” and “Call me next week.” They don’t reflect a specific concern and instead mean: I’m not quite sold yet. Sell me some more. An objection, by contrast, always ties to one of the five buying decisions every customer makes: Salesperson, Company, Product/Service, Price, or Time-to-Buy. “Your price is too high” and “I prefer the competition’s solution” are examples of an objection. These require fundamentally different responses than a stall, yet nearly every training program lumps them together. What Actually Works: Objections as Unasked Questions The most effective reframe in objection handling is this: an objection is a customer’s response to an unasked question. When a customer pushes back after you ask for commitment, it’s almost always because a critical question went unasked during the discovery phase. The objection reveals a buying decision that wasn’t adequately addressed. The correct response is to return to that discovery phase, ask the best questions to surface what’s really driving the resistance, and then work back through to a commitment. This approach keeps salespeople inside their selling process. No detours. No psychological jargon. Just a disciplined, repeatable path. Distinguishing Stalls From Objections in Practice When you ask for commitment and receive a stall, don’t challenge it. Instead, use what Brickwork calls a universal stall breaker. This is an empathetic acknowledgment followed by a Trial Feature Benefit Reaction (TFBR) sequence that re-engages the customer without confrontation. If, after that, the customer surfaces a specific concern tied to one of the five buying decisions, now you have an objection and know how to address it. The sequence matters. Skipping it is how most objection-handling frameworks fall apart. The Knowledge Gap vs. the Application Gap There’s an important distinction buried in our assessment data: most salespeople actually know quite a bit about the five critical selling skills. The overall average knowledge score is 62 out of 100. But they only apply about 44% of that knowledge in real selling situations. This is an application problem that training content alone won’t fix. What fixes it is practice: deliberate, repetitive, corrective practice in realistic selling scenarios. The skills where the gap between knowledge and application is widest? Gaining commitment, sales call planning, and questioning – the exact skills at the heart of objection handling. How AI Is Closing the Objection-Handling Gap This is where the conversation shifts from diagnosis to solution and where AI is starting to make a difference. Traditional sales training happens roughly four times a year. A rep attends a session, receives a knowledge boost, and then returns to their territory. Within weeks, old habits return. The skills never become second nature because there simply wasn’t enough practice. Tandem by Action Selling addresses this directly with AI-driven coaching built on the proven 9 Acts sales methodology. Instead of waiting for the next quarterly training cycle, reps can practice objection handling as often as needed. And they do it in a private, judgment-free environment against AI buyer personas built from your actual ideal customer profile. The impact is measurable: Consistent practice between live training sessions ensures skills compound rather than fade. AI personas that mirror real prospects give reps exposure to the exact objections they’ll face in the field, not generic role-play scenarios. Immediate feedback on delivery, pacing, question quality, and objection resolution without waiting for a manager coaching session. Reporting that tracks progress against goals, giving sales leaders visibility into who is improving and where coaching is still needed. What gets measured gets learned. AI tools like Tandem make it practical to measure objection-handling skills continuously, not just at training checkpoints. The Path to Mastery Selling is a skill that can be taught, measured, and improved. But improvement requires the right foundation: a well-documented methodology, training grounded in valid learning principles, and manager reinforcement. Now, AI-powered practice closes the gap between what reps know and what they can execute under pressure. If your team is struggling to hit its quota and you’re not sure why, the data points to a place worth examining. 90% of salespeople can’t handle objections effectively. That’s a training problem — and in 2026, it’s a solvable one. Frequently Asked Questions What percentage of salespeople are bad at handling objections? Over 90% of salespeople are ineffective at uncovering and resolving objections, according to Brickwork's research across more than 350,000 assessed reps. Since objections come up in most selling situations, this single skill gap explains why so many reps consistently miss quota. What is the difference between a stall and an objection? A stall is a vague deflection like "let me think it over" or "send me a proposal." It means the customer isn't sold yet. An objection ties to one of five specific buying decisions: salesperson, company, product, price, or timing. Treating the two the same way is why most objection-handling training fails. Are objections really buying signals? No. That is a myth many sales training programs still teach. An objection is a customer's response to a question that never got asked during discovery. It signals a gap earlier in the sales process, not interest worth celebrating. Why do salespeople know sales skills but still fail to use them? Brickwork's assessment data shows the average rep scores 62 out of 100 on sales knowledge but only applies about 44% of it in real selling situations. Knowing the right move and executing it under pressure are different skills, and only one of them improves through repeated practice. How does AI sales training improve objection handling? AI tools like Tandem let reps rehearse objection handling as often as they want against realistic AI buyer personas, instead of waiting for the next quarterly training session. That constant, judgment-free repetition is what turns knowledge into a skill reps can actually execute live.
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AI in Sales: How to Separate the Helpful From the Hype
The AI Pressure Is Real. So Is the Risk of Getting It Wrong. Every sales leader I talk to these days is hearing the same thing: “What’s your AI strategy?” The pressure is real. If you haven’t figured out exactly how AI fits into your sales motion, it’s easy to feel like you’re already behind. But the noise around AI in sales is louder than the signal right now. New tools keep flooding the market, and most of them are making big promises. Before you make a decision – or worse, make the wrong decision – you need a clear framework for evaluating what’s actually worth your team’s time. What Should AI Sales Tools Actually Do for Your Team? AI sales tools fall into two broad categories: Productivity tools that save time and efficiency Skill-building tools that make your salespeople better at selling Both have genuine value, but they solve very different problems, and the right choice depends on what your team actually needs most. Most of the tools you'll encounter fall into the first bucket. They automate admin work, summarize calls, draft emails, and give reps back hours in their week that can be redirected toward selling. They also help with prospect research, surfacing what reps should know about a buyer before they ever get on a call, so they walk in prepared instead of winging it. These are valuable. But there’s a another category of tools designed to develop selling skills with the kind of deliberate practice that changes performance. That’s where the bigger long-term upside lives. 4 Baseline Questions to Ask About Any AI Sales Tools Before you get into the specifics of what a tool does, start with these questions: 1. Will my data stay secure? When your salespeople use an AI tool, your proprietary information (client data, playbooks, IP, etc.) shouldn’t be used to train someone else’s large language model. Make sure you understand how the tool handles data. 2. How difficult is implementation? People often underestimate the time and cost to get an AI sales tool up and running. Ask specifically: How long before the tool is usable? And will you need to pay a third party to configure it, or can your team stand it up independently? Slow, expensive implementations drain your return on investment (ROI) before you’ve seen a single benefit. 3. Will my reps actually use it? Adoption is everything. If your salespeople are already overwhelmed, adding a tool that requires extensive training before is a recipe for shelfware. The steeper the learning curve, the lower the adoption. Ask yourself honestly: if a rep opened this tool cold, would it be obvious what to do? 4. Can I see whether it’s working? As a sales leader, you need visibility. Can you tell whether your team is using the tool? Can you see what results they’re getting? If the tool is a black box from a management standpoint, you’ll have no way to evaluate your ROI or make changes when adoption stalls. Going Deeper: Evaluating AI Sales Tools for Skill Development If you’re specifically looking at AI sales tools designed to help your team get better at selling, not just work faster, three additional questions matter. These tools are built around practice: giving reps a low-stakes environment to rehearse their conversations, work out their talk tracks, and sharpen their skills without doing it in front of a live prospect. Think of it like a batting cage. Your reps take swing after swing without a prospect on the line. The problem every sales leader knows is that most salespeople don’t practice nearly enough. And when they do, it’s usually during an actual sales conversation. AI changes that equation, but only if you pick the right tool. 5. Does it reinforce your sales methodology? The AI tool should align with the specific sales process and methodology you’ve already invested in. If your team has been trained on a particular framework and the AI roleplay tool is giving feedback that pulls them in a different direction, you’re undermining the training investment you’ve already made. When evaluating these tools, ask: Can the feedback be configured or calibrated to match our sales methodology? The answer to that question will tell you whether the tool multiplies your existing investment or dilutes it. 6. Does the practice feel real? The value of AI roleplay is directly tied to how realistic the interaction feels. Does the AI sound like your ideal customer profile? Does it surface the kinds of objections your prospects actually raise? Does it use the industry language your buyers use? A practice interaction that sounds nothing like a real prospect conversation isn’t building the right muscle memory. Before you commit to a tool, ask for a demo that mirrors your specific buyer, and evaluate whether it would truly prepare your team for a real conversation. 7. Can it analyze real sales conversations too? The most powerful AI skill-building tools close the loop. This means a rep uses the AI to rehearse before a meeting, then uploads a recording of the actual Zoom or Teams call afterward to get feedback on how they really performed. This creates a continuous improvement cycle: practice before, analyze after, get better for next time. If an AI tool can only do one half of that loop, you're leaving a significant part of its potential value on the table. Cutting Through the AI Noise You don’t have to feel overwhelmed by the volume of AI tools hitting the market. The landscape is crowded, but the framework is simple: Start with your goal. Are you trying to make your team more efficient, or are you trying to make them better sellers? The answer shapes everything else. Ask the baseline four questions for any tool you evaluate: data security, implementation cost, ease of use, and leadership visibility. If you’re evaluating a skill-building tool, add the three additional criteria: methodology alignment, realism, and the ability to analyze real calls. The sales leaders who will get the most from AI aren’t the ones who move fastest. They’re the ones who move clearly by knowing what problem they’re solving and holding every tool to a consistent standard.