About AI Search Console
AI Search Console is a tool for SEO and GEO teams that replaces manual checks of AI search visibility with repeatable, prompt-level analytics. It tracks brand mentions, rankings, share of voice, competitors, and cited sources across ChatGPT, Claude, Gemini, and Perplexity. The platform helps agencies and brands move from sporadic screenshots to structured data on how AI models reference their business.
Review
AI Search Console tackles a specific measurement problem: visibility in AI-generated answers is inconsistent across prompts, models, and time, and manual checks don't scale. The tool captures full responses and citations, then surfaces patterns - which prompts trigger mentions, which competitors appear more often, and which third-party sources the AI platforms rely on. It's built for teams that need to report on this data without spreadsheets and screenshots.
Key Features
- Prompt-level brand mentions and rankings across four AI platforms
- Multi-model share of voice and competitor visibility tracking
- Citation mapping that identifies the domains and pages cited in AI answers
- Prompt grouping by customer journey stage for structured analysis
- Client-ready reports generated from tracked data
Pricing and Value
Pricing operates on a credit system: one credit equals one prompt checked across one model. A free trial lasts 3 days, after which users choose a paid plan - no automatic charges occur. The exact cost of credits or plan tiers is not publicly detailed at this stage. The free trial gives teams a chance to test the tool's tracking and reporting before committing.
Pros
- Monitors visibility on ChatGPT, Claude, Gemini, and Perplexity from a single interface
- Citation mapping shows which external sources shape AI answers, not just whether a brand appears
- Prompt-level data lets users track specific search queries and spot content gaps
- Grouping prompts by customer journey stage helps structure analysis across different funnel phases
- Reports are built directly from tracked data, removing manual screenshot-and-spreadsheet workflows
Cons
- Not well suited for brands whose category has no presence in AI answers yet - the tool's direct mention tracking yields little data at that stage
- Does not currently detect whether AI claims about a brand are factually correct; users must manually review captured responses
- Pricing details beyond the credit-per-check model and trial length are not publicly available, which can make budget planning unclear
Teams that already see AI mentions in their niche and need to report on visibility trends will find the prompt-level data and citation mapping directly useful. The tool aligns with the shift from rankings to source-level influence in AI search, and the roadmap includes automated fact-checking against customer-provided facts, though that capability is not yet shipped. For agencies managing multiple clients, the client-ready reports and competitor tracking reduce the overhead of one-off manual checks.
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