AISearch.wiki · Live Competition measurement layer

Observed AI Visibility Checker + Competitor Comparison

Observed AI Visibility Checker. See whether your brand actually appears in current AI-search answers. Measure mentions, source citations and scan-specific share of voice against competitors across supported live AI-search APIs.

Observed visibility ≠ visibility potential. This tool runs a defined prompt set and measures what surfaces now. Use the Visibility Potential Checker to diagnose why a page may be citation-worthy and the Readiness Checker to diagnose technical access.
Run the measurement

Test a brand against unbranded buyer-intent prompts

The default prompts intentionally do not contain the brand or competitor names. That avoids manufacturing a mention simply by placing a brand into the question.

Use the category a prospective customer would search for—not the brand name.
One per line: Brand|domain.com. Up to 4.
Custom prompts become the measurement set. Avoid inserting the tracked brands unless you specifically want branded-query coverage.
No database required. Results are calculated for this scan and are not stored by this file.
Running the selected prompt set across configured providers…
Observed results

Current AI-search visibility

Observed Coverage
70% mention + 30% citation coverage
Mention Rate
Successful prompts mentioning your brand
Citation Rate
Successful prompts citing your domain
Tracked Share of Voice
Share of tracked-brand appearances

Competitor comparison

BrandMention rateCitation rateShare of voiceAvg. first-mention rank*

*Rank is calculated only among tracked brands that appeared in the same answer. It is not an AI-platform ranking position.

Platform coverage

Platform/APISuccessful runsMention rateCitation rateErrors

Prompt-by-prompt evidence

What Is The Next Step...

Get Your Personalized AI Visibility 2k27 Report
Methodology

Measure WHAT surfaces. Diagnose WHY separately.

A single AI answer is not a permanent ranking. This checker produces a dated, prompt-defined observation and keeps it separate from site-level readiness diagnostics.

01 · AskRun the same unbranded category prompts across selected providers.
02 · ObserveRecord whether the target brand and competitors appear in returned answer text.
03 · CiteCheck provider-returned source URLs for the target and competitor domains.
04 · CompareCalculate scan-specific coverage and tracked-brand share of voice.
Important limitation: API-grounded answers are observations from supported developer interfaces. They do not guarantee identical output in consumer ChatGPT Search, Google AI Overviews/AI Mode, Gemini, Perplexity or other proprietary interfaces. Answers can vary by model, prompt wording, date, geography, personalization and source selection.
FAQ

Observed AI visibility questions

What is observed AI visibility?

Observed AI visibility measures whether a brand or source actually appears, is mentioned or is cited for a defined prompt set at a defined time. It is empirical observation, not a prediction based only on webpage signals.

Why are the default prompts unbranded?

Putting the target brand into every prompt would make mentions easier to trigger and inflate the result. The default set asks category-level discovery and comparison questions without naming the brands being measured.

How is this different from the AI Visibility Potential Checker?

The Visibility Potential Checker inspects a webpage for discoverability, entity, evidence, extractability and trust signals. This checker instead sends defined prompts to supported AI-search APIs and measures what actually surfaces in those responses.

How is this different from the AI Search Readiness Checker?

The Readiness Checker tests technical and on-page foundations such as crawling, indexability, canonicalization, structured data and crawler access. Observed visibility measures current answer output, not technical eligibility.

Is the Observed Coverage Score a universal AI ranking score?

No. It is a transparent scan-specific index: 70% mention coverage plus 30% citation coverage across successful runs. It should be compared over the same prompt set and conditions, not treated as a universal platform ranking.