Find the questions buyers ask
Crawl public pages, draft buyer-intent prompts, and approve the questions worth measuring.
THE AI VISIBILITY WORKSPACE
See where your brand stands in AI answers.
Measure what OpenAI, Gemini, Perplexity, and Claude actually return. Trace the evidence, prioritize what to change, and see what happens next.
API observations, clearly labeled by provider and model. No placement guarantees.
VISIBILITY SNAPSHOTIllustrative data
BRAND MENTION · SUCCESSFUL RESPONSESDifferent providers. Different answers.
n = 111OpenAI
16 / 28
Gemini
6 / 27
Perplexity
12 / 28
Claude
8 / 28
Failed requests are reported separately, never counted as brand absence.
FOUR REAL PROVIDER API INTEGRATIONS
O
OpenAIResponses API · web search
G
Google GeminiGenerateContent · search grounding
P
PerplexityAgent API · Sonar search
C
Anthropic ClaudeMessages API · web search
THE PLATFORM
From observation to a better next decision.
Everything stays connected: the prompt, the provider response, the source, the diagnosis, and the change you make.
See each provider clearly
Track mentions, recommendations, and native citations by provider with sample sizes and scan completeness.
Understand the evidence
Review cited sources, competitor appearances, site findings, and the observations behind a diagnostic.
Act on a specific Fix
Get a prioritized target, supporting evidence, concrete next steps, and a metric to monitor.
Validate over time
Group implemented Fixes into Change Sets and compare repeated, equivalent observation cohorts.
Know what was measured
Keep provider, model, methodology, prompt version, retries, failures, and source semantics attached to each observation.
THE EVIDENCE LAYERExplore the evidence workflow
See the reason behind the recommendation.
A visibility chart tells you where to look. Citestra connects successful responses, source records, and public site findings to a diagnostic case you can inspect before changing a page.
Trace each claimEvidence records retain a source reference, observation date, and level.
Separate fact from inferenceObserved facts, interpretations, and hypotheses are shown distinctly.
Know when evidence is thinSample size, provider coverage, confidence, and insufficient-evidence outcomes stay visible.
ILLUSTRATIVE DIAGNOSTIC CASEOBSERVED
Category page gap
Product analytics · category discovery prompts
2 / 12brand mentions
0 / 12first-party citations
2providers observed
Observed fact
Repeated responses omit the brand for approved category prompts.
Site finding
No suitable category page found in the latest public crawl.
Hypothesis to test
A focused buyer page may make the product easier to describe.
BUILT FOR MEASUREMENT INTEGRITY
A number you can explain.
AI responses vary. Citestra keeps repeated observations and methodology changes visible so your team can interpret the signal without mistaking it for a fixed ranking.
- Provider-level rates and sample sizes
- Native citations separated from plain URLs
- Failures, retries, and partial scans visible
- Model and prompt changes flagged in comparisons
ONE OBSERVATION
Approved prompt×Provider + model×Locale×Repetition
One auditable response
With its exact prompt, search state, source evidence, usage, and outcome.
Retries stay attached to the same observation.
A PRACTICAL WORKFLOW
Diagnose. Improve. Check again.
Move from a visibility gap to a page or source decision with a clear trail of evidence.
Approve buyer prompts
Start with your site and choose the questions that represent real discovery intent.
Inspect the gap
Compare mentions, citations, competitor presence, and your site content.
Make a targeted change
Use evidence-backed instructions with a target and a measurable outcome.
Observe what changed
Compare compatible repeated cohorts while keeping provider differences visible.
START WITH YOUR SITE
Start a free audit Make your next AI visibility decision with evidence.
Run a limited audit, then explore the workspace and its provider-level measurements.