How AIMentionTracker Helps You Get Recommended by ChatGPT, Claude and Google AI

AIMentionTracker is an AI visibility platform that shows which answers from ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode name your competitors instead of you — then gives you a ranked list of what to change and tracks whether the answers actually changed. It fits brands that already have a site and some category presence but keep getting left off AI shortlists. Every plan starts with that action list, and the same questions are re-run on a schedule so a change in the answers is a change you can see.

What the platform actually measures

AI assistants don't return a ranked list of ten links. They name a handful of brands. AIMentionTracker's premise is that no traditional rank tracker tells you which side of that line you're on, so it measures three things instead:

• The shortlist — which brands each engine names for the questions your buyers ask, and how often.
• Where you stand — your mention rate beside every competitor's, with the underlying answers behind each number.
• What to change — the specific sites and pages the engines read when they named someone else.

Visibility is reported per engine, never averaged. The product's own framing is "your AI visibility on every engine, never averaged," which matters because a brand can be cited constantly by Claude and ignored by Google AI Overviews.

The workflow, step by step

1. Paste your domain

You start by entering your domain; the platform proposes the rest — the questions to run and the competitors to compare against. There's no seat-based setup to configure first.

2. Work the ranked list, in order

The list is deliberately sequenced, and the order is the useful part:

1. Fix your own pages first. These are pages the engines already read while naming a competitor. In the example data shown on the site, a page on your own domain was credited in 2 of 9 answers to "Best [competitor] alternatives for agencies (2026)," and 7 answers cited that page without naming you. Because it's your page, nobody's permission is needed to change it — which is why it comes first.
2. Then get listed. These are third-party sites — review platforms and articles — that the engines read when they name your rivals and never you. The example data shows g2.com read in 14 answers naming 4 competitors and never the brand, and capterra.com read in 11 answers naming 5 competitors. Getting onto those pages requires an outreach or listing step rather than an edit.

3. Re-run and verify

The same questions run on a schedule. If your mention rate moves, that's a change you can see rather than infer — and if it doesn't move, you know the edit or listing didn't land with that engine.

A concrete example of the output

The site's sample dashboard shows a brand "Named in 55 of 105 answers in the last 7 days," followed by 13 places to get into. Each entry names the source, the engine(s) that read it, and the gap:

The engines listed against each row (Claude, Gemini, Perplexity, ChatGPT, Google AI Mode, Google AI Overview) tell you where the gap is concentrated, so you're not fixing a Perplexity problem with a Google AI Overview fix.

Trying it and what to check

The site offers a 7-day free trial with a card required and nothing charged for the 7 days, plus a demo video. Pricing is described as "priced on prompts, not on seats," so cost scales with how many questions you track rather than how many people log in — worth confirming against the current pricing page before you commit, since the specific tiers aren't stated in the material here.

Before paying, verify two things against your own category:

• Does the proposed question set match how your buyers actually ask? The whole measurement is only as good as the prompts.
• Are the competitors it surfaces the ones you actually lose to in AI answers? If not, the mention-rate comparison will mislead you.

If both hold, the fix-your-pages-first ordering gives you something you can act on the same day, and the scheduled re-runs give you a way to tell whether it worked.