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Someone on your team forwards a screenshot. ChatGPT just told a customer your product line was discontinued. Or Perplexity cited a lawsuit that never happened. Or Gemini quoted pricing that hasn’t been accurate in two years. Your instinct is to treat it like a normal complaint: find who’s responsible, ask for a correction, move on. […]
A customer asks ChatGPT about your pricing before they ever land on your site. The answer sounds specific and confident: a number, a feature comparison, a claim about what you offer. It’s also wrong. Nobody at your company said it, and nobody caught it before that customer read it as fact. That’s the part most […]
A brand manager types their own product name into ChatGPT this month and gets back a pricing tier that hasn’t existed since 2024. It’s not a rare glitch. It’s the kind of error that shows up when you actually go looking for it. That’s the tension behind the headline question. Model-level benchmarks keep improving. Brand-level […]
A customer messages your support team with a screenshot. ChatGPT told them your product is 30% off this week. It isn’t. Now they’re asking why your site won’t honor “the price you advertised,” and your agent has no idea what they’re even talking about, because your brand never said that anywhere. This is what AI […]
A customer forwards you a ChatGPT screenshot. The pricing is wrong. The plan names don’t match what’s on your site. Somewhere in the answer, the AI has confidently described a feature you don’t actually offer. Your first instinct is to call it a glitch. It isn’t. AI hallucination about your brand follows a pattern, and […]
A customer forwards you a ChatGPT screenshot claiming your company shut down last year, or got acquired, or dropped the feature they were about to buy. None of it is true. Your first instinct is to find someone to complain to, maybe even a lawyer. That instinct is understandable, and it’s also the slowest possible […]
You’ve spent two years positioning your SaaS product as an enterprise-grade platform. Then a prospect shows up to a demo and says, “ChatGPT told me your Pro plan is $79 a month.” Your actual price is $99. Nobody at your company ever listed $79. No page on your site has ever said it. The model […]
You’ve spent two years positioning your product as enterprise-grade. Then a customer mentions that ChatGPT described you as “great for solo founders on a budget.” Gemini says something different again. Neither matches your messaging, and neither is technically a lie. It’s a guess, delivered with total confidence, and nobody on your team was watching for […]
You’d expect the sites with the most content, the biggest engineering teams, and the most at stake in AI search to move first on llms.txt. A 300,000-domain study found the opposite. Sites pulling in 100,001 or more monthly visits adopt the file at a lower rate than sites getting a few thousand visits a month. […]
Your team added an llms.txt file to the root of your domain three weeks ago. You expected ChatGPT and Perplexity to start citing your product pages more often. Nothing changed, and that gap between what the file promises and what models actually do with it is the whole problem. llms.txt Was Never a Rule Models […]
A content team ships an llms.txt file, checks the box, and moves on. Three months later, ChatGPT still can’t accurately summarize the product page, and server logs show zero requests to the file they spent an afternoon writing. That’s not a bug. It’s the current state of llms.txt in practice. What llms.txt Actually Controls, and […]
Two SaaS companies launched llms.txt the same month last year. One saw its AI Mode citations shift within days. The other checked its server logs three months later and found exactly zero requests for the file. Same standard, same effort, wildly different outcomes. That gap is the real story behind llms.txt, and it’s why the […]
