Run buyer-intent prompts
The free scan checks how a current AI model responds to commercial questions around your category and location.

Start with a free AI model-recognition snapshot, then use web-grounded Perplexity research for deeper audits, competitor evidence and ongoing monitoring.
Upgrade to a Deep Audit for live Perplexity web research, citations and competitor source gaps.
Atlas runs buyer-intent prompts through a free AI model to show whether your business is recognised and recommended. The £49 Deep Audit then upgrades the research to live web-grounded Perplexity Sonar.
The free scan does not pretend to have live web citations. Deep Audits and Monitoring use Perplexity Sonar for current web-grounded recommendations, sources and citation evidence.
Atlas uses repeatable buyer-intent prompts so businesses can benchmark model recognition for free, then monitor live web-grounded recommendation visibility with Perplexity Sonar.
The free scan checks how a current AI model responds to commercial questions around your category and location.
The Deep Audit uses Perplexity Sonar to inspect current web-backed recommendations, citations and competitor source advantages.
Monitoring repeats the paid web-grounded methodology so you can compare recommendation share and source coverage over time.
Traditional SEO measures search-engine rankings and organic traffic. AI search visibility focuses on whether your brand is mentioned, recommended or cited when people ask AI systems commercial questions. Atlas gives businesses a practical baseline for that new discovery layer.
AI search visibility is the share of relevant AI answers in which your business appears. Atlas tracks recommendation appearances against a consistent set of buyer-intent prompts.
Generative Engine Optimization (GEO) is the practice of improving the signals and content that help generative AI systems understand, cite and recommend a brand.
Answer Engine Optimization (AEO) focuses on making information clear and useful for answer-first search experiences, including AI assistants and search-generated answers.
Measure how often your business enters the AI recommendation set, which competitors win those prompts and where your recommendation share changes over time.
Track the prompts, brand mentions and competitive context that influence your LLM visibility rather than relying on a single anecdotal chatbot conversation.
Paid web-grounded research shows which websites AI search relies on and highlights citation gaps where competitors have a stronger presence across trusted third-party sources.
Save multiple businesses, run on-demand scans, enable weekly monitoring, keep history and see whether changes improve AI recommendation share.
Create business accountCreate agency workspaces, add client businesses and keep each business's AI search scans, history and audit status organised under one login.
Run a free AI visibility snapshot, upgrade to a manually reviewed web-grounded Deep Audit or track recommendation visibility continuously.
A useful AI model-recognition snapshot.
Live web-grounded research with manual QA.
Track live web-grounded AI visibility over time.
Clear answers about AI recommendations, GEO and how Atlas measures visibility.
AI visibility describes whether and how often a brand appears in AI-generated answers, recommendations and citations for relevant prompts. Atlas measures this using repeatable buyer-intent searches against supported providers.
AI search visibility focuses specifically on discovery through AI-powered search and answer engines. It looks at inclusion in answers, recommendation share, competitor appearances and, for web-grounded paid scans, the sources used to support those answers.
GEO is the process of improving how generative AI systems understand and surface your brand. Typical work includes clearer entity information, useful answer-focused content, credible third-party mentions and stronger source coverage.
SEO commonly tracks rankings, search impressions and organic traffic. AI visibility measures whether a brand is included inside generated answers and recommendations. The two overlap, but they are not the same measurement.
The free scan uses InclusionAI Ling 3.0 Flash VL as a model-recognition snapshot. Deep Audits and Monitoring use Perplexity Sonar through Vercel AI Gateway for live web-grounded research. Atlas labels the provider on every report.
AI answers can change as models, web sources and your market change. Repeating a stable prompt set gives you a more useful view of visibility movement than checking one chatbot answer once.