Radar Insights

How to Check Your AI Visibility

Direct answer: AI visibility comes down to five checkable signals — crawler access, structured schema, reviews, content structure, and directory presence. Below is exactly how to test each one yourself, in order of how much it actually moves whether an AI assistant recommends you.

3 July 2026AI Visibility · Method7 min read

"AI visibility" sounds abstract until you break it into things you can actually inspect. There is no dashboard equivalent to a Google Search Console ranking report — no single number a platform hands you. But the underlying causes of whether an AI assistant recommends a business are concrete, checkable, and mostly outside the business's marketing department: they live in robots.txt, in schema markup, in review platforms, in page copy, and in directory listings.

This is the same five-signal method AEO Radar's free scan runs automatically. Here's how to check each signal by hand, what a pass or fail actually looks like, and which signal is worth fixing first.

The five signals, in order of impact

Crawler access
Can OAI-SearchBot, Claude-SearchBot and PerplexityBot retrieve your public pages?
Gate signal
Structured schema
LocalBusiness markup stating what/where/when clearly.
Clarity signal
Reviews & UGC
Rating, volume, recency — the strongest predictor measured.
Strongest signal
Content structure
Question-shaped headings with specific, quotable detail.
Extraction signal
Directory presence
Claimed, accurate listings on the directories AI cites most.
Sourcing signal

Signal 1 — Crawler access (the gate)

Before on-site content can appear in an answer, the relevant search crawler has to be able to retrieve it. Check the effective robots.txt policy for OAI-SearchBot, Claude-SearchBot, and PerplexityBot — the published search or retrieval crawlers for ChatGPT, Claude, and Perplexity. A blanket User-agent: * / Disallow: /, or a specific block for one of these agents, prevents that crawler from fetching the affected pages. A missing robots.txt file is not a failure: crawling is allowed by default. Training-only crawlers are a separate privacy choice and are not treated here as a search-visibility signal.

Signal 2 — Structured schema (the clarity layer)

LocalBusiness or Organization JSON-LD markup tells an AI system unambiguously what your business is, where it operates, and when it's open — rather than requiring the model to infer this from unstructured prose, which it can get wrong. Check by viewing your page source and searching for application/ld+json, or by running your homepage through Google's Rich Results Test. A controlled Ahrefs study (1,885 pages, difference-in-differences methodology) found schema markup's independent effect on AI citation rate ranged from −4.6% to +2.2% — a range that overlaps zero.1 Schema is worth having for accuracy and rich-snippet eligibility. It is not, on its own, a citation driver — don't over-invest here relative to the signals below.

Signal 3 — Reviews and UGC (the strongest measured signal)

Among the signals SOCi studied, review data showed the strongest relationship with AI recommendation. Across 350,000+ locations, the average rating of locations recommended by ChatGPT was 4.4 stars; Perplexity, 4.3; Gemini followed Google's 4.2-star average.2 These are descriptive averages, not platform thresholds or minimums, so RaveHQ uses them as context rather than a pass/fail gate. Recency adds a separate customer-trust signal: BrightLocal's 2026 survey found 74% of consumers only trust reviews from the last three months, and 32% only trust reviews from the last two weeks.3

Signal 4 — Content structure (the extraction layer)

AI systems quote and cite content that directly answers a question in an extractable format — a question as a heading, followed immediately by a direct, specific answer. A Princeton GEO (Generative Engine Optimization) study found content containing citations, statistics, and direct quotes earns approximately 40% more AI visibility than equivalent content without cited evidence.4 Check your own site's key pages: do they lead with vague, adjective-heavy marketing copy ("award-winning service in a welcoming environment") or with specific, checkable claims ("Invisalign Diamond Provider since 2019, 340 verified Google reviews")? The second format is what gets extracted and quoted.

Signal 5 — Directory presence (the sourcing layer)

Different AI platforms source local citations from different places. Yext's citation-sourcing analysis (6.8 million citations) found ChatGPT draws roughly 49% of its local citations from third-party directories, Yelp chief among them, while Gemini draws roughly 52% from brand-owned websites.5 Check whether your business has claimed, accurate profiles on Yelp, Bing Places, and Facebook — an unclaimed or stale listing is worse than no listing, because it can surface outdated information as if it were current.

"Reviews are the strongest single lever measured. Schema is the most over-invested-in. Most businesses have the priority order backwards."

What to do with the result

Once you've checked all five, the pattern usually points at one or two clear gaps rather than a uniformly weak or strong profile. A business can have excellent schema and zero AI visibility because its Yelp profile is unclaimed. Another can have a 4.7-star rating and still be invisible to ChatGPT specifically because its content never answers a question directly enough to quote. The fix is almost always narrower than "improve everything" — it's usually one or two of the five signals doing most of the damage.


What are the five signals AI visibility checks measure?
Crawler access (can AI bots read your site at all), structured schema (LocalBusiness markup), reviews and user-generated content (rating, volume, recency), content structure (question-shaped, specific, citable copy), and directory presence (claimed, accurate listings on Yelp and similar platforms). Reviews are the strongest measured predictor; schema has the weakest independently-measured effect.
Which AI visibility signal should I fix first?
Crawler access first, since it's a binary gate — if AI bots can't read your site, nothing else matters. After that, reviews and directory presence tend to have the largest measured effect on citation rate, ahead of schema markup and content structure specifically. Fix in that order rather than spreading effort evenly across all five.
Is there a free tool to check all five signals automatically?
Yes — AEO Radar runs a free, read-only scan across all five signals in under a minute, no account required, and shows exactly which signals are weak. Ongoing monthly monitoring is a paid add-on for businesses that want to track the trend over time rather than a single snapshot.

Notes and sources

1 Ahrefs controlled study, 1,885 pages, difference-in-differences methodology. Finding: LocalBusiness schema markup moved AI citation rates by −4.6% to +2.2% (not statistically significant). ahrefs.com

2 SOCi, The Factors Driving AI Invisibility, 2026. Dataset: 350,000+ locations, roughly 3,000 brands, and 3.2 million queries. Observed average ratings among recommended locations: ChatGPT 4.4★, Perplexity 4.3★; Gemini followed Google's 4.2★ average. These are not platform thresholds. soci.ai

3 BrightLocal Local Consumer Review Survey 2026, n=1,002 US consumers. Findings: 74% trust only reviews from the last 3 months; 32% trust only reviews from the last 2 weeks. brightlocal.com

4 Princeton GEO (Generative Engine Optimization) study. Finding: content with citations, statistics, and direct quotes earns ~40% more AI visibility than equivalent content without cited evidence.

5 Yext local citation-sourcing analysis, 6.8 million citations. Findings: ChatGPT draws ~49% of local citations from third-party directories; Gemini draws ~52% from brand-owned sites. yext.com

Free, no account

Skip the manual check. Run the scan.

AEO Radar automates all five signals above into one read-only scan — free, under a minute, no account required.