AI visibility tracking that shows where answer engines name you

What does AI visibility tracking actually measure?

It measures presence, prominence and accuracy: whether you appear, how you appear and whether what the engine says is true. Rankings alone cannot show any of that, because there is no position one in a generated paragraph.

For each prompt and engine we record a small set of fields that stay the same every month, so the numbers can be compared. From those fields we calculate citation share, the percentage of tracked answers that cite your domain, alongside competitor shares for the same prompts.

• Brand mention: does the answer name you at all?
• Citation: is one of your URLs linked as a source, and which one?
• Position and framing: first recommendation, one of several, or a passing note.
• Accuracy: are pricing, locations, features and category described correctly?
• Competing sources: which domains, including Reddit, G2 or review sites, are cited instead.

How do you build a prompt set that reflects real buyers?

Start from the questions buyers ask before they talk to sales, not from keywords you already rank for. We draft them from sales call notes, support tickets, Search Console queries and the follow-up questions answer engines suggest.

A typical set mixes category questions, comparison and alternatives prompts, problem-led questions and branded checks, each tagged by funnel stage and product line. The wording is frozen once agreed, because changing a prompt changes the answer. We also run each prompt more than once and across modes where an engine offers them. Semrush found only 25% of cited sources overlap between ChatGPT's reasoning modes, which is why a single test tells you very little.

What can Search Console and Bing Webmaster Tools tell you about AI answers?

More than most teams realize, and both are free. Google counts traffic from AI features inside the Search Console Web search type, and in June 2026 it added generative AI performance reports with impressions and clicks.

On the Microsoft side, the AI Performance report in Bing Webmaster Tools launched in public preview in February 2026 and shows citations across Copilot, Bing AI summaries and partner integrations, with total citations, cited pages and grounding queries. A June 2026 update added Intents, Topics, Citation Share and Compare. We pull these first-party figures into the same report as our prompt runs, so tool estimates are always checked against platform data.

How do you see AI referral traffic in GA4?

Create a custom channel group that captures referrals from answer engine domains, then report sessions, engaged sessions and conversions for it. Without that step, AI visits sit unnoticed inside the general referral bucket.

We match source domains including chatgpt.com, perplexity.ai, copilot.microsoft.com and gemini.google.com, and break results down by landing page. That shows which pages answer engines actually send people to, which is often a different list from your top organic pages. Server logs add a further signal: ChatGPT-User and Perplexity-User requests appear when a person's question causes the engine to fetch your page in real time.

Which AI citation tracking tools are worth paying for?

It depends on how many prompts and engines you need, and we stay tool-neutral. Published pricing pages show a wide spread, from small prompt bundles to enterprise contracts.

We can run tracking inside your existing subscription or our own, and we always reconcile tool output with Search Console and Bing data. Peec AI is another option we work with, though we do not quote its price because we could not confirm it.

• Otterly.AI: daily tracking on ChatGPT, AI Overviews, Perplexity and Copilot; Lite is listed at $29 for 15 prompts.
• Semrush AI Visibility Toolkit: listed as a $99 per month add-on covering 25 prompts.
• Ahrefs Brand Radar: custom prompts listed from €47 per month.
• Scrunch: Starter listed at $300 per month, with agent-traffic attribution.
• Profound: tracking across up to 9 engines, with a 7-day trial and custom enterprise pricing.

How often do AI answers change, and how should you read the trend?

They change often enough that monthly trends beat weekly alarms. Semrush tracked ChatGPT citing Reddit in about 60% of responses before that fell to about 10% within weeks in August and September 2025, a shift no single brand caused.

So we report a three-month rolling view, flag movements larger than normal run-to-run noise, and tie each change to something concrete where we can: a page update, a new third-party review, a crawler block or an engine-side shift seen across all tracked brands. When nothing explains a move, we say so rather than inventing a story.