Prompt analytics and citation mapping for AI search
AI Search Console helps SEO and GEO teams replace manual AI visibility checks with repeatable data. Track brand mentions, rankings, share of voice, competitors, and cited sources across ChatGPT, Claude, Gemini, and Perplexity. Analyze visibility at the individual prompt level, find content and citation gaps, and generate client-ready reports without spreadsheets or screenshots.
We built it after repeatedly hearing the same question from SEO agencies and their clients:
“Are we actually showing up in ChatGPT?”
The usual way to answer was surprisingly manual: run a few prompts, take screenshots, copy the results into a spreadsheet, and try to guess whether visibility was improving.
That approach breaks down quickly. AI answers vary by prompt, model, market, and time. A handful of manual checks cannot reliably show your share of voice, explain why a competitor appears more often, or identify which sources influence the answers.
AI Search Console turns that process into repeatable analytics. It monitors how your brand and competitors appear across ChatGPT, Claude, Gemini, and Perplexity, down to the individual prompt and cited source.
What you can analyze:
– Prompt-level brand mentions and rankings – Multi-model share of voice – Competitor visibility and content gaps – The domains and pages cited in AI answers – The prompts where your brand appears and where it is missing – Trends over time and client-ready reports
This matters because AI visibility is not determined only by your website or Google rankings. AI platforms may rely on review sites, editorial articles, communities, comparison pages, and other third-party sources. You can rank well in traditional search and still be mostly absent from AI-generated recommendations.
AI Search Console helps teams move from:
“Let’s manually check a few prompts”
to:
“Here is our visibility, here is the gap, and here are the sources and prompts behind it.”
It’s built primarily for SEO/GEO agencies and brands that need a measurable way to understand and improve their presence in AI search.
I’ll be here all day and would genuinely love your feedback. Ask me anything 🙏
“Prompt analytics and citation mapping for AI search”
AI Search Console launched on Product Hunt on July 30th, 2026 and earned 413 upvotes and 154 comments, earning #2 Product of the Day. AI Search Console helps SEO and GEO teams replace manual AI visibility checks with repeatable data. Track brand mentions, rankings, share of voice, competitors, and cited sources across ChatGPT, Claude, Gemini, and Perplexity. Analyze visibility at the individual prompt level, find content and citation gaps, and generate client-ready reports without spreadsheets or screenshots.
On the analytics side, AI Search Console competes within Marketing, SEO and Artificial Intelligence — topics that collectively have 979.4k followers on Product Hunt. The dashboard above tracks how AI Search Console performed against the three products that launched closest to it on the same day.
Who hunted AI Search Console?
AI Search Console was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AI Search Console including community comment highlights and product details, visit the product overview.
Zac Zuo
Hey Product Hunt! 👋
I’m Ilia, founder of AI Search Console.
We built it after repeatedly hearing the same question from SEO agencies and their clients:
“Are we actually showing up in ChatGPT?”
The usual way to answer was surprisingly manual: run a few prompts, take screenshots, copy the results into a spreadsheet, and try to guess whether visibility was improving.
That approach breaks down quickly. AI answers vary by prompt, model, market, and time. A handful of manual checks cannot reliably show your share of voice, explain why a competitor appears more often, or identify which sources influence the answers.
AI Search Console turns that process into repeatable analytics. It monitors how your brand and competitors appear across ChatGPT, Claude, Gemini, and Perplexity, down to the individual prompt and cited source.
What you can analyze:
– Prompt-level brand mentions and rankings
– Multi-model share of voice
– Competitor visibility and content gaps
– The domains and pages cited in AI answers
– The prompts where your brand appears and where it is missing
– Trends over time and client-ready reports
This matters because AI visibility is not determined only by your website or Google rankings. AI platforms may rely on review sites, editorial articles, communities, comparison pages, and other third-party sources. You can rank well in traditional search and still be mostly absent from AI-generated recommendations.
AI Search Console helps teams move from:
“Let’s manually check a few prompts”
to:
“Here is our visibility, here is the gap, and here are the sources and prompts behind it.”
It’s built primarily for SEO/GEO agencies and brands that need a measurable way to understand and improve their presence in AI search.
I’ll be here all day and would genuinely love your feedback. Ask me anything 🙏
💜 You can also try our demo: https://app.search-console.ai/demo