Founder playbooks

Win the AI answer

Practical, no-hype essays on wrong AI answers, lost recommendations, cited sources, competitor displacement — and the fixes that change future answers.

LatestGEO2026-07-065 min read

Does llms.txt Actually Do Anything? An Honest Read

llms.txt is the cheapest item on every GEO checklist — and the one with the least evidence behind it. What the file is, what is actually verifiable about engine behavior, why we ship one anyway, and what to do with the hour you save.

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GEO2026-07-06

How to Correct a Wrong AI Answer About Your Product

An engine is telling buyers your product costs the wrong price, lacks a feature it has, or belongs to a different category. There is no support ticket for that. Here is the correction workflow that actually has a mechanism behind it.

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Strategy2026-07-06

Reporting AI Visibility to Clients Without Overclaiming

Agencies are being asked "what is ChatGPT saying about us?" and the tooling makes it very easy to answer with theater. Here is a monthly report structure that survives a skeptical client — and the honesty rules that keep the retainer.

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GEO2026-07-05

How to Monitor Brand Mentions in ChatGPT (Manually, Then Automatically)

A practical, no-fluff method for checking whether ChatGPT mentions, recommends, or misrepresents your brand — what to ask, what to record, the traps that produce false readings, and when a tracker earns its keep.

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Product2026-07-02

Receipts, Not Promises: Proving an AI Answer Actually Changed

Anyone can show you a score that went up. A receipt is different: the same buyer question, the same engine, the answer before and the answer after — verbatim, with dates. Here is why we built the report around them.

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GEO2026-07-01

The Same-Name Trap: When AI Confuses You With Another Company

The most dangerous kind of AI answer is not the one that leaves you out — it is the one that describes a different company under your name. Entity confusion is common, quiet, and worth checking for today.

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Methodology2026-06-29

One Engine Is an Opinion. Nine Engines Are a Market.

ChatGPT, Gemini, Perplexity, Claude, Grok, Google AI Overviews and the new grounded engines do not agree with each other. Checking one and calling it "AI visibility" mistakes a single opinion for the market.

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Strategy2026-06-28

The Citation Gap: The Sources AI Trusts That Don’t Mention You

Behind every AI answer is a short list of pages the engine leaned on. The gap between "sources AI cites in your category" and "sources that mention you" is the most actionable list in GEO.

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Product2026-06-26

From a GEO Score to a Recovery Queue

A visibility dashboard tells you you’re losing. The Recovery Queue tells you the exact source behind each loss, who to influence, and hands you a send-ready draft — then watches whether the answer changes.

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GEO2026-06-12

Why ChatGPT Recommends Your Competitor (And What It Reads To Decide)

When a buyer asks ChatGPT for "the best tool for X", an answer comes back with names in it. If yours is not one of them, here is what is actually happening — and the sources behind it.

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Strategy2026-06-12

AI Answer Visibility Is The New SEO

Buyers increasingly start research inside ChatGPT and Gemini, not Google. Being the recommended answer is becoming more valuable than ranking #1.

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Methodology2026-06-12

A Single ChatGPT Answer Is Noise — Measure The Week

Ask the same question twice and the brand list can change. Here is why single-run GEO checks mislead, and what to measure instead.

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GEO2026-06-12

Watch the AI’s Answer Change Over Time

Monitoring tells you where you stand. The value is seeing the answer change over time — getting alerted the moment the AI’s answer on a prompt you track actually shifts.

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