Track your AI visibility across six engines.

Real figures from a tracked project. The score is a published formula, not a black box — every part of it is on the same screen as the total.

AI visibility measures how often, and in what context, an AI engine names your brand when someone asks a question in your category. It is not a ranking position: a chat answer has no page two, only the handful of brands that made it into the reply and the ones that did not. Tracking it means running the same questions on a schedule and recording what each engine said.

GEO is the practice of getting your brand named and cited inside AI-generated answers, the way SEO is the practice of getting your pages ranked in a results list. The work overlaps — the models lean heavily on content that already ranks — but the measurement does not, which is why AI visibility needs its own metrics rather than a column bolted onto a rank tracker.

A mention is the engine naming your brand somewhere in its text, which is awareness. A citation is the engine treating your website as a source and giving the reader a clickable link, which is referral traffic. TrueRanker counts them as two separate metrics on purpose: when your mentions climb and your citations do not, the model knows who you are but does not consider your site worth sourcing — and that gap is a technical problem you can go and fix.

ChatGPT, Gemini, Claude, Perplexity, Grok and DeepSeek — six engines on one dashboard, each scored the same way so the numbers are comparable. Engine coverage is one of the five parts of your composite score, so an engine that never mentions you costs you visibly rather than quietly. If ChatGPT is the only engine you care about, that cut is at /chatgpt-visibility-tracker/.

Every prompt you track is re-run weekly across all six engines. A week is the cadence the data supports: model answers drift over days rather than hours, and a weekly series gives you a trend you can act on instead of noise you have to smooth. Your history starts the day you add each prompt and is kept for as long as the prompt exists.

We query each model through its official API where one exists, and a browser-grade fetch where none does, using clean sessions and geo-anchored personas. That means the answer we record is the answer a real user in that location would get, rather than a cached snapshot or a sampled approximation.

A prompt is one question you want tracked — for example "best rank tracker for agencies". One prompt checked across all six engines counts once against your plan, not six times. Most brands start with 10 to 20 prompts covering their category, their product and the comparisons buyers actually make, then add more as they see which questions move.

It is a single 0–100 figure built from five weighted parts: mention rate at 30%, citation rate at 20%, sentiment at 20%, share of voice at 20% and engine coverage at 10%. The weights are published rather than hidden, and each part is shown beside the total, so a score that falls always decomposes into a specific thing that changed.

Share of voice is the percentage of the conversation you own against the competitors you track: of all the brand mentions across your prompts, how many were yours. TrueRanker breaks it down per engine and plots it over time, because owning ChatGPT and being invisible in Perplexity is a common position and an average would hide it.

Yes. Add competitors per project — Starter 3, Pro 15, Agency unlimited — by brand name or domain, and TrueRanker computes share of voice for each of them per engine, per prompt and over time. The useful view is the list of prompts where a rival is recommended and you are not — that is a content brief written for you.

An AI personality is a role you give the model before it answers — "a digital marketing consultant", "a small business owner comparing tools". Models tailor recommendations to who they think is asking, so the same prompt can return a different shortlist for different personas. Setting one lets you measure the answer your actual buyer gets rather than a generic one.

Yes. Every prompt carries its own location, down to city level, and the query is geo-anchored to it. That matters more in AI answers than in Google: models routinely recommend local suppliers, regional pricing and country-specific alternatives, so a single global figure would average away the market you actually sell into.

As many as your brand needs. Add the brand name, its common misspellings and spacing variants, and your domain — TrueRanker searches for all of them inside every answer, so a mention still counts when the model writes "True Ranker" or points at trueranker.com without naming you.

Yes, and it is the part most tools skip. Click any tracked prompt to open the literal, full-text answer each engine returned for that scan, with your brand and your competitors highlighted in different colours and the sentiment scored. Numbers tell you that you lost a recommendation; the text tells you which argument the model used to prefer someone else.

AI visibility is included on every paid plan, from the $39 Starter up — there is no separate AI subscription and no upsell tier. What the plan decides is how many prompts you track: 50 on Starter, 100 on Pro and 200 on Agency. Starter covers ChatGPT, Perplexity, Gemini and Google AI Overviews; Claude, Grok and DeepSeek unlock on Pro. If you outgrow your allowance you can top up prompts from inside the app without changing plan.

Three different jobs. The free AI Visibility Checker is a one-off audit of a single URL, with no history and no account. The rank tracker flags whether a Google AI Overview appeared for a keyword and whether it named or linked you, which is a property of the Google SERP. The AI Visibility Tracker on this page is the continuous one: your prompts, six engines, every week, with competitors, sentiment and the stored answers behind every number.