What is AI visibility tracking?

Systematic sampling of AI assistant responses to buyer-intent prompts in your market — measuring how often your business is mentioned, how you compare to competitors, and which platforms ignore you.

How is this different from SEO rank tracking?

Rank trackers report SERP positions. AI visibility tracking reports name mentions inside synthesized answers — a business can rank well organically and still be invisible to ChatGPT.

Can anyone guarantee AI placement?

No. Tracking reveals reality; it does not control AI platforms. The value is honest baselines, trend lines, and prioritized fixes — not fabricated placement promises.

Which platforms does AIrecommend.ai track?

ChatGPT, Gemini, Claude, Perplexity, Grok, and Google AI Overviews where available — six-platform coverage in the free scan and ongoing programs.

What metrics matter most?

Mention rate, share of AI voice vs competitors, platform blind spots, and downstream conversions from AI-referred traffic via Super Pixel.

How much does ongoing tracking cost?

Baseline scan is free. Continuous tracking is included in AI Growth ($4,997/mo) and AI Dominance ($9,999/mo). See airecommend.ai/#pricing.

AI Visibility Tracking — Measure Share of AI Voice Across Platforms

Published June 11, 2026 · Scott Tischler

AI visibility tracking samples what ChatGPT, Gemini, Claude, Perplexity, Grok, and AI Overviews say about your business on buyer-intent prompts — then reports mention rate, competitor share of AI voice, and platform blind spots. AIrecommend.ai includes a free baseline scan and monthly scorecards on paid tiers with Super Pixel attribution.

You cannot fix what you do not measure

Local owners hear anecdotes: "ChatGPT recommended my competitor." Without structured tracking, you do not know if that is one bad prompt or a systematic gap across engines.

AI visibility tracking replaces anecdotes with sampled data:

Which businesses get named on hiring-intent questions
How often your name appears per platform
Where competitors dominate and you are absent
Whether mention rates move after you fix reviews, listings, and entity data

AIrecommend.ai built its product around this measurement layer — not around vanity content retainers.

Core metrics defined

Mention rate — The percentage of sampled AI responses that include your business name for a defined prompt set in your category and geography.

Share of AI voice — Your mentions divided by total mentions of all tracked businesses (you + named competitors) in the same sample. If three competitors appear 40 times combined and you appear 10 times, your share is 20%.

Platform blind spot — An engine where competitors are named repeatedly and you never appear. Blind spots are common because platforms use different source mixes — industry analyses cite roughly 11% overlap in domains cited across major AI systems for comparable prompts.

Read: The 11% platform overlap problem.

Visibility score — A composite index in your dashboard summarizing coverage and competitive position — useful for executives, not a substitute for reading raw mention tables.

How we sample

Our free scan and ongoing programs use buyer-intent prompts — natural questions real customers ask:

"Best emergency plumber near [city]"
"Who should I hire for [service] this week?"
"Top-rated [category] accepting new patients?"

Prompts are category- and market-specific. We resample monthly on paid tiers to show trends, not one-off screenshots.

Manual checks help between rescans: How to check what ChatGPT says.

Six platforms, one scorecard

Platform	Why it matters
ChatGPT	Highest-volume conversational local discovery
Gemini	Google ecosystem integration, AI Overviews adjacency
Claude	Strong grounding on citable pages
Perplexity	Explicit citations — rewards data studies
Grok	Growing share of tech-forward buyers
AI Overviews	Google SERP synthesis layer

Tracking all six prevents false confidence from a single-engine spot check.

From tracking to fixes

Measurement without delivery is a PDF graveyard. Each gap in your report maps to a Growth Engine module:

Low review themes → Review Engine
NAP drift → Listings + Apple Business Connect
Thin facts → Entity Profile
Stale GBP → Google Business Autopilot (Dominance)
No citable stats → Data Studies (Dominance)
Wrong AI facts → AI Accuracy Repair (Dominance)

You approve every outbound action in the dashboard queue.

Optimization context: AEO · GEO · ChatGPT optimization.

Super Pixel: attribution layer

Mention rates can rise while revenue flatlines — or vice versa. Super Pixel is first-party JavaScript detecting visitors referred from AI platforms and tying them to form submissions, calls, and booked jobs.

That closes the loop between visibility tracking and P&L impact.

Research and methodology

We publish aggregate findings when sample sizes support statistics. Our scan invisibility study documents methodology and publishes only when N≥100 — no cherry-picked case studies masquerading as research.

Pricing

Tier	Tracking	Delivery
Free scan	One-time six-platform baseline	Report + module-mapped fixes
AI Growth $4,997/mo	Monthly rescans + dashboard	Reviews, listings, entity, Super Pixel
AI Dominance $9,999/mo	Monthly rescans + dashboard	Growth + GBP, studies, press, awards, accuracy repair

View pricing.

Start with a baseline

Run the free scan. Share the report with your team. Decide if ongoing tracking plus Growth Engine delivery beats guessing what AI says about you.