Magnetic Messaging FrameworkSolution-Centric MarketingTHE TRUTH

Why do buyers keep comparing us to the wrong competitors?

Greg Rosner

By Greg Rosner

Founder of PitchKitchen · Author of StoryCraft for Disruptors

· 8 min read

TL;DR

Buyers compare you to the wrong competitors because you never gave them the right comparison. A buyer meeting a new vendor has one first job: figure out what it's like. If your homepage and your first call lead with capability language, the buyer files you next to every vendor using the same words, and now you inherit that group's prices, flaws, and feature checklists. AI made it worse: the machine briefing your buyer groups vendors by how similar their claims sound, and it caches the result. The fix is naming your own comparison through category design, before the buyer or the machine does the filing for you.

The scene I'm in this week

Last Thursday I got on a call with the CEO of a $20M fintech infrastructure company, and he skipped hello entirely. He read me a line from a procurement email instead: 'We're also evaluating [tool] and would like to understand your pricing relative to theirs.' The tool in question costs $99 a month. His platform starts at $80K a year and sits underneath real money movement. He said, 'We're not even in the same business. How does this keep happening?'

This wasn't the first time. His team had built an entire slide explaining why they're different from that tool. Reps open half their first calls with it. Three weeks later, the buyer's shortlist memo still had both names in the same row.

I asked him to open his homepage while we talked. The headline: 'Automated payment operations for modern finance teams.' Then I opened the cheap tool's homepage. The headline: 'Automate your payment operations.' Same nouns. Same verbs. Same promise, at a fiftieth of the price.

He went quiet for a second and said, 'Huh.' That silence is where this post lives. The buyer never misfiled him. Nobody filed him at all, so the buyer did what every buyer does with an unfiled vendor: grabbed the nearest thing that looked similar and judged him by the group.

Naming what's actually broken

A buyer meeting something new has one first job, and it happens before any evaluation starts: figure out what this thing is like. Nobody can assess a novel product from scratch. The brain reaches for a reference point, and it will find one with or without your help. One founder on Indie Hackers put the healthy version of this instinct well:

Positioning against a known player is often clearer than trying to explain what you do from scratch.

... a founder on Indie Hackers, 2026

The comparison instinct works for you when you choose the known player. The trouble starts when you leave the choice to the buyer. I call what happens next the Lookalike Lineup: the buyer builds a mental police lineup out of whichever vendors resemble you on the surface, stands you in it, and convicts you of the group's sins. The lineup's price ceiling becomes your price ceiling. The lineup's churn stories become your risk profile. The lineup's feature checklist becomes your evaluation criteria. You inherit all of it without a hearing.

Here's the part founders resist: the lineup is almost always self-inflicted. This is Solution-Centric Marketing doing its quiet damage. When your message is a capability list, you've handed the buyer sorting keys, and capability words are the least distinctive thing about you, because every vendor within squinting distance claims the same ones. 'Automated payment operations' matches you to everyone who automates payment operations, from the $99 tool to the enterprise suite. Your own words did the filing, and the buyer just followed them to the wrong row. This is just truth.

Why this is worse now than ever

The Lookalike Lineup used to get built one deal at a time, in one buyer's head, and a good rep could sometimes talk it apart. Now the lineup gets built by a machine, before you know the deal exists. Your buyer's research starts in ChatGPT or Claude, and the model does exactly what the brain does, at scale: it groups vendors by how similar their claims sound. If your text footprint is category-average language, you get averaged into the category.

The evidence for specificity is piling up. Research on AI recommendation patterns in 2026 found that consultants who describe themselves as 'growth strategists' show up far less in AI recommendations than ones positioned as 'B2B SaaS growth advisors for healthcare.' The generic label dissolves into the crowd. The specific one gets its own file. The same mechanics apply to your company, and I walked through the fix for the machine side in 'Why does AI describe our B2B company inaccurately, and how do we fix what ChatGPT says about us?'

There's one more turn of the screw. A human buyer's wrong comparison dies when the deal dies. The machine's wrong comparison is cached, and it gets repeated to every buyer who asks the same question next week. Would you let a stranger introduce you at every meeting you'll ever attend? That's what an unfiled company is doing right now.

The diagnostic: which lineup are you standing in?

Run these three tests this week. You don't need an agency, a rebrand, or a budget. You need your call recordings, a fresh browser session, and an honest hour.

  1. 1The So-You're-Like Test. Pull your last five discovery call recordings and listen for the moment the buyer says some version of 'oh, so you're like X.' Write down every X. If the names are wrong, scattered, or five different companies, the buyer never got a frame from you, and each one built their own lineup.
  2. 2The Who-Else Test. Open a fresh ChatGPT or Claude session with no history and ask: 'What does [your company] do, and who are its closest competitors?' The names that come back are the lineup the machine has already built, and it's briefing your next buyer with it today.
  3. 3The Price-Anchor Test. Go through your last ten price objections and find the number the buyer was anchored to. If the anchor is a product you don't consider a real competitor, the problem lives in the filing, and no discount ever fixed a filing problem.

What I see across 200+ B2B companies

When I run these tests with founders, the pattern is brutal and consistent: in roughly 9 out of 10 wrong comparisons, the company's own language did the filing. The homepage uses the lineup's nouns. The deck opens with the lineup's feature grid. The rep answers 'what makes you different' with adjectives the whole lineup also uses. Maybe 1 in 10 is a genuinely careless buyer. The other 9 walked exactly where the signs pointed.

The tell I listen for in sales calls: how often the team says 'we're not like X.' Teams stuck in the wrong lineup spend the first call denying the comparison, and denial doesn't move an anchor. You can't un-compare yourself. You can only hand the buyer a stronger comparison, one where you set the terms. I covered the claim-parity version of this trap in 'How do we differentiate when everyone claims the same benefits?' and the downstream damage in 'Why do we keep losing deals on price?' because the wrong lineup is where most fake price objections are born. Buyers who can't see a difference default to the lowest number in the row.

A real example

An $18M healthtech company came to me after two years of being compared to a well-known patient survey tool. Their platform changed how care teams caught deterioration between visits. The survey tool sent questionnaires. Every deal started with the same twenty minutes of 'here's why we're not them,' every procurement review anchored at survey-tool pricing, and their average sales cycle sat at 78 days with discounting on more than half of closed deals.

We didn't touch the product and we didn't argue with the old comparison once. We replaced it. The work named the real villain, retrospective patient data that arrives after the window to act has closed, and drew the contrast against it instead of against the survey tool. The homepage stopped saying 'patient feedback platform' and started saying who it was for and what ends: no more finding out on Thursday what your patient needed on Monday. Reps opened first calls by naming the comparison that mattered: this replaces chart-chasing between visits, and if a questionnaire could do that, you should buy the questionnaire.

One quarter later the survey tool had stopped appearing in their deals almost entirely. Sales cycle came down to 51 days. Discounting dropped to under a quarter of closed deals, because the price was finally being read against the cost of the problem instead of against a questionnaire. Same product. Different lineup.

What this means for you

The wrong comparison feels like a buyer problem, which is why founders keep trying to educate their way out of it. It's a filing problem, and the filing happens in your words, on your homepage, in your rep's first five minutes, and in the machine that briefs your buyer before you ever meet. The company that names its own comparison gets judged on its own terms. Everyone else gets judged on the lineup's terms. Sound familiar?

  1. 1Run the three tests above and write down the actual lineup you're standing in today, from your buyers' mouths and from a fresh AI session. You can't replace a frame you haven't seen.
  2. 2Draft the comparison you want buyers to make instead. One sentence: what old way does your product end, and what does that make you an alternative to? If the honest answer is 'the manual process,' say that, because the manual process doesn't have a $99 pricing page.
  3. 3Rewrite your homepage headline and your reps' first-call opener to lead with that comparison. Hand the frame to the buyer before they go looking for one. The vendor who frames first wins the lineup.

This filing work is exactly what the Magnetic Messaging Framework (MMF) exists to do. It's a strategic narrative system built around four anchors: category design, villain framing, an old-way / new-way contrast, and a promised-land outcome. Category design is the anchor carrying the weight here, because it names the shelf you belong on instead of letting the buyer or the machine guess, and the other three anchors give the buyer a story to repeat that no lookalike can borrow. Once it's documented, every rep, every page, and every AI engine reads from the same file, and the lineup problem stops regenerating with each new deal.

I'm Greg Rosner, founder of PitchKitchen and author of Story Craft for Disruptors. PitchKitchen builds Magnetic Messaging Frameworks for founder-led B2B companies in the $5M-$75M range, fixing broken marketing messages and underperforming websites for CEOs whose sales are stalling because their message isn't doing the work. If buyers keep standing you next to vendors you don't respect, the comparison won't fix itself. Somebody has to name the right one, and it should be you.

Questions People Ask

FAQ

Why do prospects keep comparing us to cheaper competitors?

Because your language matches theirs. Buyers and AI engines group vendors by how similar their claims sound, and capability phrases like 'automate your workflow' appear on every pricing tier in your space. When a buyer can't see a difference in the words, they default to comparing on the one thing that's always legible: price. The comparison is usually self-inflicted through generic messaging, which means it's also fixable.

How do you respond when a buyer compares you to a product that isn't a real competitor?

Never open with a denial, because 'we're not like them' just repeats the anchor. Replace the comparison instead: name the old way your product ends and position against that. 'This replaces the manual process of X, and if a $99 tool could end that, you should buy the $99 tool.' Confidence in the frame does more work than any feature grid.

What is category design in B2B positioning?

Category design is the practice of naming the market frame you want to be evaluated in, rather than competing inside a frame someone else defined. It's one of the four anchors of the Magnetic Messaging Framework, alongside villain framing, an old-way / new-way contrast, and a promised-land outcome. For most $5M-$75M companies it means clearly naming what you replace, so buyers stop filing you with lookalikes.

How do I find out which competitors AI engines group us with?

Open a fresh ChatGPT or Claude session with no chat history and ask what your company does and who its closest competitors are. Then ask the question your buyer would ask, like 'best tools for [the problem you solve].' The names that come back are the lineup the machine presents to every researching buyer. If they're wrong, your public text footprint is what taught the model the wrong grouping.

Can you change the buyer's comparison mid-deal, or is it set after the first call?

You can change it, but a replacement beats a rebuttal every time. Anchors don't respond to denial, so give the buyer a stronger frame: the cost of the old way, a villain both of you can point at, and a specific picture of what ends when they switch. Late in a deal, changing the comparison usually requires going back up to the economic buyer, since procurement inherits whatever frame the first call set.

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Want this kind of thinking shipping for you?

Every quarter you spend arguing your way out of the wrong comparison, the lineup hardens a little more. The buyer didn't pick that frame out of malice. They picked it because nobody handed them a better one.

That's the 90-Day Magnetic Messaging Sprint. One quarter, one fixed price: we extract your story, build the Magnetic Messaging Framework and your AI Brand Twin, then ship the website and sales enablement that run on it. $25K–$45K fixed for the quarter, and you own all of it at the end.

About the Author

Greg Rosner

Greg Rosner

Founder, PitchKitchen · Author of StoryCraft for Disruptors · Creator of the Magnetic Messaging Framework™

Greg is a B2B messaging therapist for growth-stage CEOs ($5M-$75M). He helps founders extract the truth they've been hiding from themselves, name the villain in their industry, and build the messaging infrastructure that scales their voice through AI. PitchKitchen has worked with 100+ B2B companies across SaaS, healthtech, fintech, cybersecurity, and AI-driven solutions.