Does AI ignore your brand, or lie about it? They're different problems, and most brands only have one of them yet

Two things can go wrong when someone asks ChatGPT about your brand, and they are not the same problem. The first: the engine has never heard of you, and your name simply doesn't appear in the answer — the fear a real founder put into words on Indie Hackers as "I asked ChatGPT to recommend my product. It had no idea it existed." The second: the engine has heard of you, names you, and then gets a fact wrong — quotes a price you changed a year ago, describes a feature you sunset, or confidently misattributes something a competitor actually does. Most brands checking their AI visibility for the first time have the first problem, not the second — and it's worth knowing which one you have before you go shopping for a tool built to fix the other one.

The tool built for problem two

Waikay.io, an AI brand-perception platform built by SEO veteran Dixon Jones, ships a real feature most of this category doesn't have: a "Fact Tracker" that flags hallucinations and misinformation about a brand across ChatGPT, Gemini, Claude, and Perplexity — a check-flag-delete workflow aimed specifically at catching an AI engine confidently stating something false about a brand it already recognizes. That's a genuinely different capability than a visibility score, and a real one worth naming plainly rather than waving away: PingMyBrand does not have an equivalent fact-verification pipeline today. If an engine names your brand correctly but describes a discontinued plan as current, or gets your founding year wrong, catching that specific kind of error is Waikay's actual differentiator, not a marketing claim.

The problem underneath the more common one

Here's the honest reframe, though: fact-checking a mention only matters once you're being mentioned in the first place. Our own study across 18 well-known SaaS brands found an average AI-visibility score of about 42 out of 100 — and the single biggest driver of a low score isn't a wrong fact, it's silence: zero unprompted mentions on a given engine, for the majority of the answers that matter. A real G2 reviewer of Rank Prompt, a different competitor in this category, put the actual buyer want plainly: "it doesn't just show whether we're visible — it tells us why they are or aren't, what prompts triggered their brand, and even what sources were cited." Notice what that quote assumes first — visibility, the "whether" — before it gets to the "why." For most brands, that ordering is the honest one: you can't fact-check a sentence that was never written about you.

Why this isn't PingMyBrand quietly avoiding a harder feature

It would be easy to read the last section as a dodge — "we don't do fact-checking, so here's why fact-checking doesn't matter." That's not the claim. What PingMyBrand's own scoring does today, and has always done, is filter the OTHER direction: a hallucinated mention that only looks like a win gets caught and excluded, not credited. If an engine confabulates from a stale training prior — "as of my last update, I believe [brand] might be…" — or wraps your name inside a disclaimer that actually disowns knowing you, that does not count as a genuine mention in your score. That's a real, shipped mechanism (isGenuineMention, isDisclaimerText — the same filters documented in how the 0–100 score is actually calculated), and it solves a real problem: an inflated score from a hallucinated "yes, that brand exists and is great" is arguably worse than an honest zero, because it tells you the opposite of the truth. It's the correct half of Waikay's problem space, just not the whole thing — we keep a bad mention out of your score; we don't yet audit whether a genuine mention got its facts right.

There's one place PingMyBrand already surfaces exactly this kind of error, even without a dedicated fact-checking feature: every scan puts three deliberately branded questions to each engine — "Is [brand] legit?", "[Brand] vs competitors" — and shows those answers on your report separately from the unprompted score, specifically because what an engine says when asked about you directly can include stale pricing or a feature you no longer offer. You'll see it if it's there. It's just not tracked, trended, or flagged the way Waikay's dedicated feature does.

Which problem do you actually have

The honest instruction here is a diagnostic, not a pitch: run a real scan and read the answers before deciding which tool solves your actual problem. If ChatGPT, Claude, Gemini, and Perplexity never name you across a set of real buyer questions, you have problem one — invisibility — and no fact-checker fixes that, because there's nothing said about you to fact-check yet. Waikay's own reviewers describe a "feature heavy" dashboard with a real learning curve to use all of it well — the same "feature heavy = learning curve" pattern a separate Otterly.AI reviewer independently names for a different tool in this category — worth knowing going in if the answer to "am I even mentioned" is still genuinely unknown. If you're already named consistently and the actual worry is a specific stale fact circulating in AI answers, that's a narrower, later-stage problem, and Waikay's Fact Tracker is built for exactly that in a way nothing on this site is.

Start with the cheaper question

Before spending on either kind of tool, spend the one minute it takes to find out which problem you actually have: run the free scan, put 25 real buyer questions to all four major engines, and read every answer for whether you were named at all — the free, no-signup starting point for problem one, same as it's always been. If the answers come back with your name in them and something in those answers is simply wrong, that's the day a fact-checking layer earns its price. For most brands checking for the first time, that day hasn't come yet — being left out of the sentence entirely is still the bigger, more common problem, and it's the one this whole scan exists to answer honestly.