AI visibility FAQs

AI visibility monitoring shows whether tools like ChatGPT, Perplexity, Claude, Gemini, and Grok understand your brand, mention it accurately, and recommend it in relevant buying or research conversations.

This matters because users increasingly ask AI engines for vendor comparisons, alternatives, recommendations, and category guidance. If your brand is missing, misrepresented, or only cited through weak third-party sources, your team needs to know what to fix.

Citograph tracks those signals at prompt level, connects responses to citation sources, and turns the data into visibility scores, competitor share-of-voice, and content or technical recommendations.

• Brand recognition. Checks whether engines identify your company, category, audience, and positioning correctly.
• Recommendation strength. Measures whether your brand is actively suggested, merely mentioned, or missing from relevant prompts.
• Citation quality. Shows which sources are influencing responses and whether official or high-authority pages are being cited.
• Competitor pressure. Surfaces prompts where competitors are visible and your brand is not.

Citograph currently supports ChatGPT, Perplexity, Claude, Gemini, and Grok. Each engine is queried through its configured provider path and responses are stored for scoring, parsing, and auditability.

Because engine outputs are non-deterministic, the platform focuses on repeatable scan configuration, stable prompt sets, and trend-level interpretation rather than treating one response as a permanent ranking.

AEO Score combines strict brand visibility, prompt intent coverage, competitor share, citation quality, and technical readiness indicators. The goal is to reflect whether AI engines can recognize, explain, cite, and recommend your brand.

Unknown-brand answers and negative recognition language are treated differently from positive brand mentions, so weak responses do not artificially inflate visibility.

The strongest prompt set covers discovery, comparison, alternatives, and situational use cases. That gives your team a practical view of how AI engines answer category research, vendor selection, and problem-specific buying questions.

Citograph can generate starter prompts from brand analysis, and users can add their own prompts based on subscription limits.

Competitor share-of-voice compares how often competitors appear across the same prompt and engine set. It helps identify where AI engines prefer another vendor, where your category positioning is weak, and which content gaps matter most.

The result is not just a visibility percentage. It is broken down by engine, intent, prompt, citation source, and scan timing.

Yes. Scan records preserve the complete response text by engine and prompt where available. This lets teams review exactly what was said before accepting a recommendation or score movement.

Dashboard views can collapse long responses by default while still allowing detailed inspection when needed.

Yes. Citograph extracts cited URLs when engines provide them and enriches those sources for reporting. Official-domain citations, third-party reviews, community discussions, and documentation pages are treated as distinct source types.

This helps teams understand whether AI systems are learning from authoritative content or from weaker external references.

Scan frequency depends on your plan and use case. Weekly scans are enough for early monitoring. Teams actively changing content or comparing multiple brands usually benefit from daily or higher-frequency scan schedules.

Citograph tracks pipeline progress so a scan is only shown as complete when querying, parsing, enrichment, and classification work is done.

The technical audit checks whether your site exposes useful machine-readable and discovery-friendly signals such as sitemap availability, canonical tags, structured data, pricing discoverability, and relevant content paths.

These checks do not guarantee AI visibility, but they help remove common blockers that make it harder for engines and citations to represent your brand accurately.

Yes. Citograph is designed for multi-brand visibility tracking with account-level controls. Plan limits determine how many brands, prompts, and scan schedules can be active at once.

This makes it practical for agencies, portfolio teams, and enterprise organizations with several product lines.