Recommendation coverage
Which monitored AI systems mention or recommend the company for priority buyer questions.
AI Visibility
Become understood and recommended by AI.
AI Visibility measures how accurately AI assistants understand, describe and recommend a company when buyers ask relevant questions. Citara monitors those answers across major AI platforms, identifies competitive and evidence gaps, and coordinates improvements through the public framework: Accessible, Relatable, Recommended and Revenue. Revenue is measured as the downstream business outcome.
Direct answer
AI Visibility measures how accurately AI assistants understand, describe and recommend a company when buyers ask relevant questions. Citara monitors those answers across major AI platforms, identifies competitive and evidence gaps, and coordinates improvements through the public framework: Accessible, Relatable, Recommended and Revenue. Revenue is measured as the downstream business outcome.
The business problem
Buyers ask AI. Your company may not be in the answer.
AI assistants can reach the wrong source, describe a company generically or recommend a better-grounded competitor. The result is not merely lower traffic: the business can disappear before a shortlist is formed.
Competitive share
Where competitors appear instead and which evidence supports their inclusion.
Business comprehension
Whether AI understands the offer, expertise, category and differentiation.
Evidence gaps
Which approved facts, sources or connections are missing from the answer environment.
Public measurement framework
Accessible. Relatable. Recommended. Revenue.
The framework gives every improvement a clear job. Accessible, Relatable and Recommended describe AI visibility maturity; Revenue is the downstream business outcome. It is not a universal external score or ranking guarantee.
Accessible
AI systems can reach and verify approved company information.
Relatable
AI connects the offer and evidence to the right buyer questions and category context.
Recommended
AI can confidently include the company in relevant answers and shortlists.
Revenue
Commercial outcomes are measured separately from AI-understanding maturity.
Documented Mittelstand case · Identity and sector withheld
Only the approved working method is shown publicly.
Company identity, sector, scale, starting point, timeframe and detailed values remain confidential.
Accessible
The technical access layer was strengthened without publishing identifying details.
Relatable
Approved information was organized around relevant buyer questions.
Recommended
Evidence and context were improved; detailed measurements remain confidential.
Audit deliverables
A worklist, not an ornamental score.
The audit produces a dated baseline, the prompt set used, observed answer evidence and prioritized actions. Exact scope depends on the company, market and available sources.
Engine baseline
Observed answers across ChatGPT, Claude, Gemini, Perplexity and Google AI where available.
Evidence map
Approved company sources, missing proof and weak contextual connections.
Three next actions
Prioritized work with rationale, ownership, timing and approval points.
SEO, AEO and GEO
Different surfaces. One foundation of useful, crawlable evidence.
SEO improves discovery and ranking in search results. AEO and GEO focus on being understood, cited and recommended in generated answers. They are not substitutes for strong technical SEO, authoritative content or clear entity information.
Frequently asked questions
Direct answers before the next step.
What is AI Visibility?+
AI Visibility is the extent to which AI assistants can accurately understand, describe, cite and recommend a company for relevant buyer questions.
Why does ChatGPT recommend competitors instead of us?+
Common causes include inaccessible sources, vague positioning, stronger competitor evidence and weak connections between the company and the buyer context being asked about.
How is AI Visibility measured?+
Citara uses a fixed, dated prompt set, records outputs across multiple major assistants and evaluates access, contextual relevance and recommendation inclusion.
What does an AI Visibility audit include?+
The scope can include recommendation coverage, competitor appearance, business comprehension, evidence gaps, ARR observations and prioritized actions.
How long does improvement take?+
Timing depends on the starting point, the sources that need improvement and how quickly approved changes can be published. Citara does not promise a universal ranking timeline.