AI Visibility FAQ

AI Visibility captures how prominently and positively a celebrity is understood within the knowledge graphs of leading AI systems. Instead of relying on a single platform’s search rank, we evaluate depth of coverage, sentiment, and topical authority across Google Gemini 2.5 Pro Plus, Perplexity Sonar Reasoning, and OpenAI GPT models.

Each AI is prompted with consistent queries and scenario tests. We measure how confidently the model discusses a person, the kinds of examples it cites, and whether it connects them to high-impact narratives like technological innovation, cultural leadership, or sustained fandom.

We run a battery of prompts, hypotheticals, and ranking exercises across each AI system. Responses are parsed into features including sentiment polarity, mention frequency, supporting evidence, and narrative breadth. Those features flow into a weighting engine tuned quarterly with guidance from our advisory board of industry analysts.

The composite score blends 45% qualitative and 55% quantitative signals. We also calculate confidence bands using bootstrapped resampling so clients can see when shifts are statistically meaningful.

Each dimension is engineered to represent a different facet of AI awareness. Together they prevent any single viral moment from overshadowing long-term influence.

• Cultural Resonance: Narrative depth, award mentions, and cross-genre references.
• Tech & AI Adoption: Mentions in innovation contexts, product tie-ins, and future-oriented storylines.
• Media Longevity: Historical coverage, archive citations, and sustained discussion across time windows.
• Viral Factor: Memetic language, social accelerant cues, and sudden spike detection.
• Search Momentum: Blended search interest signals plus conversational intent from AI assistants.

Our prompts run in English, Spanish, Portuguese, French, and Korean, with ad hoc rotations for other regions. We normalize each response set against regional media density to avoid undercounting emerging markets where AI training data is still maturing.

When a model provides sparse coverage in a given language, we supplement with verified local sources and highlight the gap in our analyst commentary so teams understand the visibility context.

Leaderboards are updated every week. Automated crawlers capture new AI responses, then our editorial team verifies shifts before pushing live data. Major news cycles—album drops, championship wins, award ceremonies—often trigger mid-week spot checks.

We log every change in a visibility changelog so subscribers can see which events moved the needle. For enterprise clients we also provide API webhooks that flag dramatic week-over-week swings.

When a breaking story causes a visibility spike, we route it through an anomaly triage pipeline. Analysts compare the uplift against a 26-week baseline, run narrative clustering to confirm authenticity, and apply dampening if the spike is driven by unverified chatter.

If the story remains influential in subsequent refreshes, the dampening gradually relaxes and the score reflects the new reality. Sudden negative events are accompanied by a sentiment label so stakeholders can separate controversy from positive momentum.

AI hallucinations are filtered out with a three-step review. First, automated validators scan responses for unsourced claims. Next, a human analyst cross-checks disputed statements against reputable outlets. Finally, we run a consensus check across the other AI systems before including the data.

When inaccuracies surface, we tag the affected profile and temporarily withhold visibility deltas until resolved. Those incident reports are shared with platform partners to improve their training data.

Sponsorship and brand teams use AI Visibility to stress-test spokesperson shortlists. If a celebrity maintains a high Cultural Resonance score, AI assistants are more likely to surface them in purchase journeys, podcast outlines, and smart TV recommendations.

Labels and studios also monitor the Viral Factor dimension ahead of releases to time press drops. Our clients have integrated the leaderboard into sales enablement decks, talent negotiations, and brand safety reviews.

Scores usually move one to three points per week. We flag anything above five points with analyst notes, indicating whether the swing is narrative-driven, AI-sampling related, or part of a larger seasonal trend.

Dashboards include mini-sparklines and confidence bands. Treat movements within the band as natural noise, and lean on blended qualitative commentary for the outlier moments that warrant action.

Yes. Category dashboards allow you to compare athletes vs. musicians, or drill into sub-segments like streaming-native stars. Benchmarks surface the median, upper quartile, and top decile scores so you can gauge whether a profile is outperforming its peer set.

Enterprise portals let you upload custom cohorts—tour lineups, sponsorship rosters, or competitive sets. The system recalculates comparative metrics instantly.

Yes. Enterprise subscribers receive GraphQL and CSV export access with historical archives, real-time webhooks, and alerting for major rating changes. Self-serve downloads are available for the latest top 100 each week.

Our engineering team provides sample queries, SDK snippets, and recommended caching windows to help you plug into internal dashboards.

Absolutely. Talent teams, labels, and studios can propose additions using our contact form. We verify the request, evaluate supporting press, and run a discovery batch across all AI systems before publishing a baseline score.

Corrections or context notes are welcome as well—especially for emerging artists or international figures whose coverage is rapidly evolving.

We store only aggregated model responses—never personal data. Infrastructure is hosted in SOC 2 compliant environments with automatic audit logging. GDPR and CCPA requests are supported through our data governance portal.

For enterprise customers we offer regional data residency, private VPN access, and optional redaction filters for sensitive topics.

Custom cohort and drip reporting are available through enterprise plans. Clients can define segments, upload rosters, and receive tailored dashboards that blend quantitative scores with analyst commentary.

We also host quarterly briefings where we walk through major shifts, forthcoming product updates, and early signals we’re tracking across the entertainment and sports landscapes.