Someone asks ChatGPT "what's the best tool for X." It names three. If yours isn't one of them, you didn't lose a ranking — you were never in the conversation. There's no page two to climb. There's one answer, and a couple of names in it.
So "how do I get recommended by ChatGPT?" is a real question now, and people are searching for a tool to do it. I'll be straight with you up front: I built one (FixAEO). So treat this as a builder making his case, not a neutral review — I'll tell you where it's weak too.
But the more useful thing I can give you isn't a pitch. It's the checklist I'd use to judge any tool in this space — including mine. If you read nothing else, read that part.
First, the trap: "get recommended by ChatGPT" is not a ChatGPT problem
The phrasing fools people. Your buyers don't only ask ChatGPT. They ask Perplexity, Gemini, Google's AI Overviews and AI Mode, Copilot — often several, often without thinking about which. A tool that only watches ChatGPT gives you a confident number that's blind in five directions.
So rule zero: treat the engines as one surface, not a favourite. "Recommended by ChatGPT" really means "recommended by the AI your customer happens to ask." Judge tools on how many of those they actually cover.
The checklist: what a tool has to do
Here's what getting recommended by AI actually takes. Any tool worth paying for should do all five.
- See it across engines, at scale. One question run once tells you nothing. You need many real prompts, run across the major engines, tracked over time — so you know your true hit rate, not a lucky screenshot.
- Show you why. Being absent is a symptom. The tool should show which sources and pages the AI pulls from, and who gets named instead of you. That's the actual lever.
- Turn findings into fixes. A dashboard that just reports is half a tool. The good ones help you produce the content changes that move the needle — grounded in what the AI actually cited, not made up.
- Close the loop automatically. This is weekly work forever: check, fix, re-check. If the tool can run that loop on a schedule instead of you doing it by hand, that's the difference between a report and a result.
- Be honest and safe about automation. If it writes or publishes, you want a human review step you can't accidentally skip — not a black box that posts on your behalf.
You can hold any product up to that list. Now here's how the one I built does against it.
The tool I built, measured against the checklist
1. Across engines, at scale. FixAEO runs your prompts across six engines — ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews, and Google AI Mode — not one. You track a set of real buyer questions and watch your citation rate move per engine, so "are we recommended?" becomes a number you can actually manage.
2. The why. It shows the citations and sources behind each answer, brand mentions with sentiment, and competitor leaderboards — who's getting named for your topics and which pages the models are pulling from. That's where you find the fix.
3. Findings into fixes. There's an AI Marketer with ready-made recipes — get content recommendations, refresh an existing page, build a brief and first draft, improve your least-cited page, weekly brand-health report — plus a bunch more templates. The part I actually care about: it's evidence-gated. It won't let the model invent search volumes or competitor numbers; every quote and citation is checked against sources it really pulled, and unbacked claims get dropped or the step fails. AI that has to cite its work or shut up.
4. Close the loop. You can build your own agent as a simple node graph and put it on a schedule, so the check-fix-recheck loop runs without you babysitting it.
5. Honest automation. Where you place a review checkpoint, the run stops and can't be skipped — not even in a test. Anything that sends externally or is destructive needs a human every time; you can't set "always allow" on it. And I'll be honest: the builder lets you skip adding a review step (it warns you, but it'll run). Real guardrail, but opt-in — I'd rather say that than pretend it's foolproof.
Where it loses (because every honest review has this part)
- On the entry plan, scans refresh every 72 hours, not daily. Need daily freshness? That's a higher tier.
- The $29 plan is one seat, 15 tracked prompts, up to 2 brands. It's built for a solo founder or small team, not a 40-person agency.
- It's early. I'm still fixing rough edges. If you throw something weird at it, you might find one.
If those are dealbreakers, no hard feelings — genuinely.
The price part
Here's the honest wedge. Most tools that do serious AI-visibility work start somewhere around $95–$300 a month. FixAEO starts at $0 (a free single-engine scan, no card) and the full multi-engine tracking plus the AI Marketer is $29/mo (or $25 billed yearly). Same category of work, a fraction of the entry cost. I won't do a competitor teardown — their pricing pages are public, go compare. That's kind of the point.
Why $29 and not free for the real thing? Because the free scan checks one engine so you can sanity-check whether AI knows you exist. The moment you want the full picture — six engines, real citation data, the agent that acts on it — $29 is the floor, and it's not hidden behind a "talk to sales" wall.
So, what's the best tool?
For a solo founder or small team who wants to actually get recommended by ChatGPT and the rest without dropping a few hundred a month — I think it's the one I built, and I've told you exactly where it falls short so you can decide for yourself.
But don't take my word for it. Do one thing: run a free scan on your own domain and see whether AI even names you today. If it does, great — you've got a baseline. If it doesn't, that's the gap quietly costing you customers, and now you know.
And if you try it and something's dumb or broken, tell me. Right now that feedback is worth more to me than the $29.
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