Evidence · Measurement methodology

Measure what the answer actually shows.

A practical protocol for evaluating AI visibility across six platforms: define the test, preserve the answer, check its sources and keep commercial outcomes separate.

01 · Scope

Define the question before measuring the answer

This is our measurement protocol and a guide to reading our research. It is not a report of a newly completed six-platform test.

Choose the right business

For BeautyGEO, the target is a beauty-focused GEO service provider. An AI list of cosmetics factories measures a different market and cannot establish our agency visibility.

Name the exact surface

ChatGPT, Gemini, Copilot, Perplexity, Claude and Grok are separate platforms. Record the consumer application or API used, rather than rolling all search-enabled answers into one score.

Show the evidence level

Separate a proposed test, a completed observation, a verified source citation and a business outcome. Technical readiness and a submitted sitemap are useful checks, not observed AI recommendations.

02 · Cohorts

Keep comparable runs together

A cohort is a group of runs that share the same declared test conditions. Branded prompts, discovery prompts and domain-filtered tests should not share a headline rate.

CohortWhat the run can establishBoundary
Consumer · discoveryThe answer shown in the named consumer product for a buyer question, without supplying our brand or URL.A dated sample under recorded conditions; not every user's answer.
Consumer · brand verificationHow the product describes a named business and which facts or sources it returns.The prompt supplied the name. Do not count it as unprompted discovery.
API · open searchThe output of a specified model, endpoint and search-tool configuration.Keep it separate from the platform's consumer application, even when the branding is shared.
Specified URL or restricted domainWhether the selected tool can access and use a supplied page or permitted domain.This is a retrieval diagnostic. Supplying the source removes the natural-discovery condition.
Publisher or analytics reportThe impressions, citations, visits or events within that report's stated coverage.A provider's aggregate search report is not a replay of each consumer answer and is not a lead count.
Separate Google surfaces. Gemini Apps, Google Search AI Overviews and AI Mode, and the Gemini API require their own labels. Google's Search AI guidance describes Search eligibility; it does not establish Gemini Apps visibility.
03 · Run record

Record enough context to interpret a repeat

A search switch set to “on” does not prove that a search ran. Some products choose when to search automatically; capture the visible activation or tool result.

Question & target

Keep the exact prompt, prompt version, language, buyer intent, target entity and canonical domain. Identify branded versus unbranded questions before running them.

Product & account

Record platform, consumer or API surface, endpoint, account state, plan or workspace context, and relevant memory or personalization settings. Use an account label, never credentials.

Time & location

Keep the observation timestamp with timezone, prompt and interface languages, country or region and how location was determined. If the location is unknown, label it unknown.

Model & retrieval

Record the displayed or requested model, returned model if exposed, mode, search setting, actual search activation, tools, versions and any domain or date filters. Hidden values stay unknown.

Round & outcome

Assign a run ID and independent round number. Keep completed, partial, blocked, error and not-run states, including the reason. Preserve failed attempts as well as successful ones.

Answer & sources

Preserve the complete answer where permitted, an evidence reference, and a capture or share link when available. Separate encountered sources, answer citations and owned-domain links.

04 · Definitions

Use a separate measure for each outcome

MeasureOperational definitionEvidence to retain
Entity mentionThe visible answer names the correct target business, including a verified alias. Count it once per answer; reject namesakes.Exact answer text and an entity check.
Supporting citationAn answer citation supports a stated fact about the target. A third-party source can qualify; inspect the claim and source together.Citation URL, related answer passage and support check.
Owned-domain linkA visible answer or source citation links to the target's verified domain. Record whether it is a source citation or an ordinary hyperlink.Original URL, resolved destination and link type. Preserve the original before normalization.
Recommendation positionPosition in an explicitly ordered recommendation list, if one exists. A passing mention has no recommendation rank.The complete list and the rule used to identify order; leave rank blank when inapplicable.
Factual accuracyA separately reviewed claim matches an attributable source within its scope and date. Correct entity identification alone is insufficient.The specific claim, source, review result and unresolved qualification.
Visits, leads & revenueA recorded visit, a qualified human inquiry and verified revenue remain separate business records. State the attribution window and deduplicate events.Authorized analytics or CRM evidence. Use a reference from the answer log; do not sum the same sale across several answers.
A retrieved source is not necessarily an answer citation. OpenAI distinguishes its search source collection from answer annotations; xAI states that response.citations can contain sources encountered without being cited in the final answer. OpenAI web-search documentation · xAI citation documentation.
05 · Counting rules

Show the denominator and the missing runs

Rates need a declared eligible set

  • For a mention rate: answers mentioning the correct target ÷ completed, eligible answers in the same cohort. Display the count n/N alongside the percentage.
  • For an owned-domain citation rate: eligible answers with a verified owned-domain source citation ÷ completed, eligible answers in that cohort. Do not silently include ordinary links.
  • Record how many runs were scheduled, attempted, completed and eligible. Report failures and exclusions with reasons, even when excluded from the rate denominator.
  • If the declared question is about search-enabled answers, decide before testing whether actual search activation is required. Keep complete answers without a search in a separate reported group.

Unknown is not zero

  • A completed, eligible answer with no target mention can have brand_mentioned = 0. A blocked page, timeout or unperformed test cannot.
  • Use a run status and reason for unavailable data; leave unobserved numeric or yes/no fields empty. Partial captures are not complete answers.
  • A missing source panel does not establish that no sources were consulted. State what the interface actually exposed.
  • Do not combine platforms, API and consumer runs, countries or unequal prompt samples without publishing the grouping and weighting rule.
06 · Repeatability

Repeat a defined test, then compare like with like

01

Freeze the baseline

Write the target, prompt set, cohorts, conditions, success rules and exclusions before collecting results. Use buyer questions appropriate to the business: agency selection for BeautyGEO; product or supplier selection for the relevant client.

02

Collect independent rounds

For a fuller assessment, plan at least three independent rounds per prompt under the declared conditions. Start fresh conversations and control available personalization. Repeated messages in one chat are not independent rounds. A smaller snapshot must say how small it is.

03

Check the evidence

Verify the entity, citation destination and claim support. Inspect API tool errors as well as HTTP status: a successful HTTP response can still contain a failed search. Retain the capture limits and reviewer notes.

04

Retest and explain changes

Record the site change, deployment date and model or product changes. Reuse the frozen conditions where possible. Describe differences as observed changes; a before-and-after result alone does not prove that our work caused them.

The independent-round rule is BeautyGEO's protocol, not a provider requirement or a claim that every published pilot completed it. Anthropic documents search-tool errors within API responses.

07 · Template

Start with an empty observation log

The download has column headers only. Each row you add should represent one actual attempted or scheduled run, including unsuccessful runs. It contains no observed answers, scores, client data or example success records.

Download the empty CSV template

Field groupHow to use it
IdentityUse cohort_id, run_id and versioned prompt IDs to connect each record to the declared test.
ConditionsRecord the actual account, location, model, mode and search state. Use unknown for a hidden condition; do not infer it from the product name.
EvidenceStore permitted answer text or a controlled evidence reference. List URLs with a consistent separator, such as | , and preserve original links.
ScoringUse 1 or 0 only for observed yes/no metrics. Leave missing observations blank and explain them in error_or_limitation.
Review & outcomesRecord reviewer, review date, publication permission and any authorized business-outcome record reference. Keep personal data and credentials out of public exports.
08 · Availability & limits

Read public research within its published scope

Our current public studies contain selected records, excerpts or aggregate summaries. They do not provide a complete raw-response archive for every run. Use the dates, models, prompts and coverage stated on the individual page; missing evidence does not become verified because a page links to this methodology.

The AI Supplier Index studies supplier discovery. Our own AI visibility page concerns BeautyGEO. Neither page should be read as proof of client results, consumer visibility on an untested platform or a recurring test that has not been documented.

For a client engagement, agree the platforms, rounds, access, evidence delivery, retention and publication rights in the scope of work. Raw responses may be reviewed privately where access and permissions allow. Public publication requires a separate permission check and any redactions must be disclosed.

09 · Sources

Provider references behind the distinctions

PlatformOfficial referenceWhat to keep distinct
ChatGPTConsumer web search · API search toolsConsumer account context, API configuration, retrieved sources and answer citations.
GeminiSources in Gemini Apps · API groundingGemini Apps, the API and Google Search AI surfaces.
CopilotBing webmaster guidelines · Developer grounding toolsSearch/indexing eligibility, a developer agent's grounded response and an observed Copilot answer.
PerplexityAgent API web search · Sonar migrationConsumer results, historical Sonar observations and the current API endpoint/model configuration.
ClaudeConsumer web search · API web-search toolActual search activation, tool success and citations returned in the specific product.
GrokAPI web search · Citation fieldsWeb retrieval, X retrieval, encountered sources and final-answer citations.

References checked 11 October 2026. Provider behavior and documentation can change. These sources explain product mechanisms; our cohort and counting rules are our measurement choices.

Six-platform implementation guides → · Evidence and editorial policy →

Frequently asked questions

Does an API result prove that customers will see the same answer?
No. An API run records a particular endpoint, model, tool configuration and request. Consumer applications can use different models, search decisions, account context and presentation. We keep API observations and consumer observations in separate cohorts.
Is an unavailable result counted as zero visibility?
No. A blocked, timed-out, rate-limited or unperformed run has no valid visibility result. Record its status and reason, leave unobserved metrics blank, and report completion coverage. A completed, eligible answer that does not mention the target can be recorded as zero for that specific mention metric.
What is the difference between a mention and a citation?
A mention is a visible reference to the correctly identified business or brand. A citation is a source reference attached to the answer. The linked source may be a third party, so an owned-domain citation is a separate measure. A retrieved source list alone does not establish that a source was cited in the final answer.
Do the public research pages provide a full raw-answer archive?
No. Current public studies provide limited excerpts, selected records or aggregate summaries with the scope stated on each page. They should not be treated as a complete replayable archive or as six-platform consumer testing. Missing evidence stays unverified.
Can I use the measurement template without a paid API?
Yes. The CSV contains column headers only and can be used to log authorized manual observations in consumer applications. Account access, product availability and any API charges are separate. Never put passwords, API keys or private client data into a public copy.
Can an AI visibility score prove leads or revenue?
No. A citation, a site visit, a qualified inquiry and verified revenue are different events. Business outcomes need separate analytics or CRM evidence, a stated attribution method and deduplication. A test submission is not a customer lead.
Email UsFree AI Audit