AI Visibility Audit
Discover exactly where your brand stands across ChatGPT, Gemini, and Perplexity. Get a clear action plan in 90 seconds.
An AI visibility audit is the essential first step every business must take before any AI search optimization can begin. It measures a single, critical question: when a customer asks ChatGPT, Google Gemini, or Perplexity a question your business should answer - does your brand appear? Not in a keyword ranking. Not in a blue-link list. Actually appear, recommended, cited, mentioned by name, as a trusted answer. RecallSignal's audit is the only tool built from the ground up to answer that question precisely, across multiple AI engines simultaneously, in under 90 seconds.
What RecallSignal's AI Visibility Audit Measures
RecallSignal's AI visibility audit runs three distinct probe types against real AI engines - not simulations, not keyword tools. Direct brand probes ask 'Tell me about [your business name]' to test whether AI has accurate, confident knowledge of who you are. Problem-based probes ask 'Who should I use for [the specific problem you solve]?' to test whether AI recommends you when customers describe their needs. Competitive probes ask '[your brand] vs [competitor] - which is better?' to test how AI frames you in comparison to rivals. Every probe runs against both ChatGPT and Gemini simultaneously. Results are scored on a 0-100 scale with per-probe and per-engine breakdowns. Most businesses audited by RecallSignal score below 30 at baseline - the majority score zero.
What Happens After Your Audit - The Action Path
The audit is not just a score - it's a diagnostic. RecallSignal's report identifies the exact category of gap suppressing your visibility. Entity gaps (AI doesn't know enough about you to cite you confidently) are the most common cause of a sub-20 score and respond fastest to fixes. Content structure gaps (AI can't extract a clear, citable answer from your pages) are the most common cause of a 20-50 score. Topical coverage gaps (AI doesn't see you as an authority on your subject area) typically explain scores stuck below 60 despite other optimizations. Princeton University's 2023 GEO research demonstrated that targeted optimizations can improve AI visibility by up to 40% - RecallSignal's audit identifies exactly which optimizations apply to your specific situation.
How RecallSignal Conducts Your AI Visibility Audit
Submit Your Business Info
Enter your business name, website, industry, and location. RecallSignal identifies the most relevant query types for your specific market and builds a probe set around your actual competitive landscape.
Multi-Engine Probe Execution
RecallSignal runs 9+ targeted probes across ChatGPT and Gemini simultaneously - brand recognition, problem-based recommendation, and competitive comparison query types, each structured to elicit real AI recommendation behavior.
Score Calculation and Gap Analysis
Each engine's responses are analyzed for mention frequency, factual accuracy, sentiment polarity, and contextual positioning. A 0-100 composite score is computed with a per-probe breakdown showing exactly where you appear and where you don't.
Prioritized Recommendations Delivered
Your report identifies the highest-impact fixes in priority order: entity gaps, missing FAQ content, topical coverage holes - each ranked by expected score lift based on RecallSignal's audit dataset benchmarks.
What You Get With RecallSignal
Baseline in 90 Seconds
Full multi-engine audit completes faster than any competitor - no waiting, no manual work, no consultant required
Engine-by-Engine Breakdown
See exactly how ChatGPT vs Gemini treats your brand - different gaps demand different fixes
Actionable Gap Report
Every audit ends with specific fixes ranked by their expected impact on your score - not generic advice
Why Businesses Trust RecallSignal
Proprietary Audit Engine
Multi-probe testing across ChatGPT and Gemini simultaneously
Measurable Monthly Progress
Visibility score tracking every 30 days with before/after comparisons
Built for Real Businesses
Serving agencies, local businesses, SaaS companies, and enterprise brands
Transparent Methodology
Every recommendation backed by probe data, not guesswork
The Audit Baseline: What RecallSignal's Data Shows Across Industries
Across RecallSignal's audit dataset, baseline AI visibility scores vary significantly by industry. Legal and professional services average below 15 at first audit - largely because their content is credentials-focused rather than answer-focused. SaaS and technology companies average 18-22, often because they have good entity signals but thin problem-based content. Healthcare providers average below 12, weighed down by cautious, compliance-driven content that AI engines can't extract clear answers from. Local service businesses - contractors, agencies, consultants - average below 10. The pattern is consistent: industries that have invested heavily in traditional SEO have the most ground to cover in AI visibility, because the content strategies that work for Google keyword ranking actively work against AI citation. The audit reveals this gap in precise, actionable terms for your specific business.
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