AI Visibility Monitoring
Right now, AI assistants are answering questions about your category — with or without you. We ask them every week, score every answer, and tell you the moment your visibility slips, a competitor takes your spot, or a model starts getting your facts wrong.
Visibility won isn't visibility kept
AI answers are not static. Every model update, retraining cycle, and fresh crawl reshuffles who gets recommended. The brand ChatGPT named first in March can be missing in June — and nothing in your analytics will tell you. There's no ranking report, no impression graph, no alert. Just quieter months.
Worse, assistants can get you wrong: old prices, discontinued products, a competitor's return policy attached to your name. Your customers hear those answers as facts. Monitoring is how you find out before they do.
What we track
Six signals, sampled across ChatGPT, Gemini, Google AI Mode, Perplexity, and Copilot.
Mention & Recommendation Rate
How often each assistant names your brand when buyers ask category questions — and where you rank in the answer.
Answer Accuracy
What the models get wrong: outdated prices, discontinued products, wrong policies, brand confusion. Hallucinations about your brand, caught before customers repeat them.
Competitor Share of Voice
Who wins the recommendations you don't — tracked per assistant, per question theme, over time.
Sentiment & Framing
How assistants describe you when they do mention you: the qualifiers, comparisons, and caveats attached to your name.
Change Alerts
Model updates reshuffle answers overnight. Alerts fire when your mention rate drops, a competitor displaces you, or a new inaccuracy appears.
Remediation Feed
Every finding maps to an action: GEO fixes, structured-data corrections, content gaps. Monitoring that feeds the work, not a vanity dashboard.
How it works
Prompt panel design
We build a panel of the questions your buyers actually ask — category discovery, brand, comparison, and purchase-intent prompts — tailored to your market.
Scheduled sampling
The panel runs across ChatGPT, Gemini, Google AI Mode, Perplexity, and Copilot on the cadence your tier sets — monthly on Essential, weekly on Professional, continuous on Enterprise — with repeated sampling to separate real movement from run-to-run noise.
Scoring & alerts
Responses are parsed and scored for mentions, ranking, accuracy, and sentiment. Deltas trigger alerts; trends land in your monthly report.
Fix what slips
Findings flow into prioritized recommendations — and, if we run your GEO, straight into the work queue.
Where monitoring fits
We make your brand recommended by AI assistants, buyable by AI agents — and monitoring is what keeps both true after every model update, catching the slippage your analytics can't see.
Not sure where you stand today? The free Readiness Audit gives you the baseline; monitoring tracks it from there.
Frequently Asked Questions
What is AI visibility monitoring?
A recurring measurement program that asks the major AI assistants — ChatGPT, Gemini, Google AI Mode, Perplexity, and Copilot — the questions your buyers ask, then scores the answers: whether your brand appears, how it ranks against competitors, whether the facts are accurate, and how all of that changes over time.
Why does AI visibility need ongoing monitoring?
AI answers are not static. Model updates, retraining cycles, and fresh crawls change who gets recommended from one month to the next. A brand that wins visibility and stops watching can silently lose it — or worse, be described inaccurately — with no analytics event to warn them.
How is this different from rank tracking in SEO tools?
SEO rank trackers watch positions on a results page. AI assistants produce conversational answers that name two or three brands, vary run to run, and blend facts from many sources. Monitoring them requires repeated sampling with a structured prompt panel, response parsing, and accuracy checks — not keyword position tracking.
What happens when you find a problem?
Every issue comes with a remediation path. Missing from category answers points to GEO work; wrong prices or policies point to structured-data and source fixes; losing share of voice to a competitor triggers a competitive analysis. Monitoring feeds the work — it never ends at a dashboard.
Know what the models say about you — every month
Talk to us about a monitoring program sized to your category, markets, and competitors.