When a customer asks ChatGPT or Perplexity "what's the best tool for X?", an answer appears — and it names a few brands. If yours is missing, you never even entered the shortlist. Unlike classic search, there is no ranking report to check. So the first job is simple to say and easy to skip: find out what AI is saying about you. Here is how to measure it, benchmark it, and improve it without a big budget.
What we cover
TL;DR At a glance
- Why AI visibility needs its own measurement — Google Search Console tells you where you rank for a keyword.
- The free way to start today — You do not need software to begin.
- Dedicated AI-visibility trackers — Once you want continuous monitoring across many prompts and engines, a category of "answer-engine trackin
- Watch your analytics for AI referrals — Cited answers do sometimes send clicks.
- Improving the content behind the answers — Measurement only pays off if it changes what you publish.
Our overall score: 4.1 / 5 — a solid pick worth a look.
Why AI visibility needs its own measurement
Google Search Console tells you where you rank for a keyword. It says nothing about whether an AI recommended you in a conversation the user never turned into a click. As more decisions start (and sometimes finish) inside an assistant, that blind spot grows. Measuring AI visibility means tracking two things: whether you appear in generated answers for the questions that matter, and how you are described when you do.
The free way to start today
You do not need software to begin. Make a short list of the 10–20 questions a buyer would ask before choosing something like yours ("best budget invoicing app for freelancers", "alternatives to [competitor]"). Then:
- Ask each question in ChatGPT, Perplexity, Gemini and Google's AI Overviews.
- Record whether you are mentioned, in what position, and how accurately you are described.
- Note which sources the AI cites — those pages are your real competition for the answer.
- Repeat monthly and watch the trend.
This manual audit is unglamorous but honest, and it teaches you exactly which questions you are losing — the input every later step depends on.
Dedicated AI-visibility trackers
Once you want continuous monitoring across many prompts and engines, a category of "answer-engine tracking" tools now exists (Otterly.ai, Peec AI, Profound and others). They run your prompts on a schedule, log which brands each engine names, measure your "share of voice" against rivals, and flag the citations feeding those answers. If AI referrals already matter to your revenue, that automation saves hours of manual checking. Trial one before committing — the space is young and features change fast.
Watch your analytics for AI referrals
Cited answers do sometimes send clicks. In your analytics, filter referral traffic for domains such as perplexity.ai, chatgpt.com and gemini.google.com. The numbers are usually small today but growing, and a rising line is proof your GEO work is landing. Tag those sessions and watch what they do — AI-referred visitors often arrive with high intent because the assistant has already pre-qualified them.
Improving the content behind the answers
Measurement only pays off if it changes what you publish. When the audit shows a question you are losing, build the best possible page for it. Two tools we use here earn their place:
- Frase — maps the sub-questions and competing pages around a topic, so your page covers the full "question cluster" an AI draws from.
- NeuronWriter — grades your draft against what already ranks and answers well, closing the gaps that keep you out of the citation set.
Before anything ships, confidence matters: run key pages through Originality.ai so what you publish reads as genuinely human and trustworthy — exactly the signal answer engines reward.
Don't forget the technical foundation
An AI can only cite a page it can reach and read. Confirm the AI crawlers you want are not blocked with a quick robots.txt check, keep your content in the HTML, and describe it with clean structured data. For the full playbook on shaping the content itself, see our companion guide to Generative Engine Optimization.
A realistic cadence
You do not need to obsess daily. A workable rhythm: run the manual prompt audit once a month, watch AI referral traffic weekly, and rebuild one losing page per sprint. Small, steady improvement compounds — and because most competitors are not measuring this at all yet, consistency alone can put you ahead. Note too that assistants and their sources vary by country and language, so audit in the markets you actually serve.
Pricing: free to start, paid to automate
AI-visibility tracking splits cleanly into a free manual path and paid continuous tooling.
- Manual prompt audit — free; costs only your time running questions through ChatGPT, Perplexity, Gemini, and AI Overviews once a month.
- Dedicated trackers (Otterly.ai, Peec AI, Profound, and others) — paid SaaS with free trials; pricing scales with prompt volume and engines tracked, typically from ~$20–$50/mo.
- Content tools used here — Frase and NeuronWriter are subscription plans (often ~$15–$60/mo); Originality.ai is pay-per-credit or subscription.
Start free for a month. Only pay for a tracker once AI referrals are already moving revenue — that is when the automation earns its keep.
Verdict
You don't need a paid tracker to start — a once-a-month manual prompt audit through ChatGPT, Perplexity, Gemini, and AI Overviews catches most visibility drift for free. Paid tools (Otterly.ai, Peec AI, Profound) earn their keep only once AI referrals are already contributing revenue, because that's when continuous monitoring protects real money. The non-negotable foundation is technical: make sure crawlers can read your pages and your structured data is clean. Our call: run manual for 30 days, then let revenue — not FOMO — decide whether to automate.
Want content AI assistants actually cite? We use Frase to map the question cluster and Originality.ai to keep it human-credible. Start free; upgrade once AI referrals move real revenue.
Optimize with Frase →Worth knowing before you start
This manual audit is unglamorous but honest, and it teaches you exactly which questions you are losing — the input every later step depends
The takeaway
You don't need a paid tracker to start — a once-a-month manual prompt audit through ChatGPT, Perplexity, Gemini, and AI Overviews catches most visibil
Frequently asked questions
How do I check if AI mentions my brand?
Start free: ask ChatGPT, Perplexity, and Gemini the questions your customers ask, and record whether you're cited. Do it monthly with consistent prompts — that's a workable baseline before paying for trackers.
Are there tools that track AI search visibility?
Yes, a growing category of AI-visibility trackers monitors how often engines cite your brand versus competitors. Also watch your analytics for referral traffic from perplexity.ai and chat.openai.com.
How do I improve my brand's visibility in AI answers?
Publish content that answers questions directly in the first two sentences, add FAQ schema, keep facts current, and show credibility signals. AI engines cite sources that are easy to quote.
How we test
Every tool on this page was used hands-on for real tasks — not skimmed from a press release. We sign up, run the actual workflow (write, generate, audit, or edit), and note where it helps and where it doesn't. Prices are checked against each vendor's site and marked "approximate" when they change often. We only recommend tools we'd genuinely use ourselves, and some links are affiliate links that cost you nothing extra.