AI VISIBILITY MONITORING

Buyers ask AI now.
Are you the answer?

"When buyers ask ChatGPT for recommendations, we're not the answer."

// THE SHORT ANSWER

AI visibility monitoring tracks whether and how your brand appears in AI-generated answers — ChatGPT, Google AI Overviews, Perplexity and Gemini — for the queries your buyers actually ask. iWeb Data Scraping measures your mention share versus competitors, the sentiment of those mentions, and which sources the AI cites, so marketing teams can optimize for AI search the way they once optimized for page one of Google. As buyers increasingly ask AI for recommendations, being absent from the answer is the new being on page two.

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Key facts

  • 4 engines — ChatGPT, AI Overviews, Perplexity, Gemini
  • Mention share — vs named competitors
  • Citations — the sources shaping the answer

Search is splitting in two. Alongside the classic results page, buyers now ask ChatGPT, Perplexity and Google's AI Overviews for recommendations — and get a synthesized answer that names a few brands and cites a few sources. If yours isn't among them, you're invisible at the exact moment of consideration, and traditional rank tracking won't tell you.

AI visibility monitoring measures your presence inside those answers: for the queries your buyers ask, are you mentioned, how favorably, and which sources did the AI draw on? We track mention share against competitors and identify the citable sources shaping the answer — pairing naturally with our SERP data (which captures the AI Overview box directly). This is the newest solution in our lineup because the behavior is new — and we're an AI-data company measuring it, not a legacy SEO tool bolting it on.

THE POINT

The gap isn’t knowing this matters — it’s seeing it in time to act. That’s what the feed is for.

4 enginesChatGPT, AI Overviews, Perplexity, Gemini
Mention sharevs named competitors
Citationsthe sources shaping the answer
WHAT YOU GET

Presence inside the
answer, measured.

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Multi-engine coverage

ChatGPT, Google AI Overviews, Perplexity and Gemini — the AI surfaces buyers actually use, tracked together.

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Mention share vs rivals

Are you named, and how often versus competitors, for each buyer query — share of the AI answer.

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Sentiment of mentions

Not just whether you appear, but how — favorable, neutral or cautionary framing.

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Cited-source tracking

Which pages and domains the AI drew on — the sources you need to influence to change the answer.

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Query set by intent

Tracking built around the questions your buyers ask, from awareness to comparison to purchase.

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Movement over time

How your AI visibility shifts as you (and rivals) publish — the feedback loop for AI-search optimization.

SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

AI-answer tracking — mention, sentiment, cited sources.
query engine you_mentioned mention_rank sentiment top_cited_source
best budget laptop 2026 ChatGPT yes 2 +0.4 techreview.com
best budget laptop 2026 Perplexity no — — rival-brand.com
best budget laptop 2026 AI Overview yes 3 neutral wikipedia.org
laptop for students ChatGPT no — — rival-brand.com
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
HOW IT WORKS

From question to answer.

STEP 1

Build the query set

We define the buyer questions that matter — the prompts your customers actually type into AI.

STEP 2

Query & capture

Answers captured across engines; mentions, sentiment and cited sources extracted and scored.

STEP 3

Surface the levers

Mention share, competitor gaps and the citable sources shaping answers — your AI-search roadmap.

WHY BUY VS BUILD

The details in the feed.

FIELDS Mentioned (y/n), mention share, sentiment, cited sources, competitor mentions, engine, query, date
ENGINES ChatGPT, Google AI Overviews, Perplexity, Gemini (others on request)
BENCHMARK Mention share vs named competitors per query
REFRESH Weekly standard; on-demand for campaign checks
DELIVERY Dashboard feed or scored report; CSV/API
RELATED:SERP & Search Data →Share of Search →AI visibility guide →
FAQ

Before the first call.

It tracks whether and how your brand appears in AI-generated answers — ChatGPT, Google AI Overviews, Perplexity, Gemini — for the queries your buyers ask. It measures your mention share versus competitors, the sentiment of those mentions, and which sources the AI cites, giving marketing teams a way to measure and improve presence in AI search.

Because buyers increasingly ask AI for recommendations instead of scrolling search results, and the AI names only a few brands. If you're not among them, you're invisible at the point of consideration — the AI-era equivalent of being on page two. Traditional rank tracking can't see this, which is why it needs its own measurement.

By tracking the sources the AI cites, you learn which pages and domains shape the answer — then you influence those (your own content, reviews, third-party coverage, structured data). We measure mention share and citations over time so you can see whether your AI-search efforts are moving the answer.

ChatGPT, Google AI Overviews, Perplexity and Gemini as standard — the AI surfaces buyers actually use — with others added on request as the landscape evolves. Because we're an AI-data company, we track these directly rather than treating AI search as an afterthought to classic SEO tooling.

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