Direct citation measurement across four engines
Findabl sends real prompts to ChatGPT, Gemini, Perplexity, and Claude and counts actual brand mentions rather than modeled estimates.
Findabl è una piattaforma di intelligence sulle citazioni AI che monitora se ChatGPT, Gemini, Perplexity e Claude citano il tuo brand o i concorrenti. Aiuta i team a misurare la visibilità nell’AI, individuare le lacune e dare priorità alle azioni.
Findabl measures whether AI answer engines cite your brand, your competitors, or neither, across ChatGPT, Gemini, Perplexity, and Claude. It combines a site audit with direct engine queries so teams can see their current citation baseline and identify where they are losing visibility.
The product is built around a follow-up workflow: it surfaces a citation gap report, prioritizes actions, and ties each recommendation to an observed data point and a verification test. The site positions it for marketers, agencies, in-house teams, and founders who want a practical way to improve how their brand appears in AI-generated answers.
Findabl sends real prompts to ChatGPT, Gemini, Perplexity, and Claude and counts actual brand mentions rather than modeled estimates.
The analyzer reviews signals AI engines may weigh, including title tags, headings, schema markup, FAQ structure, author bylines, content depth, and accessibility.
After a scan, the product returns a prioritized list of actions tied to the observed gap, the user’s industry, and competitor context.
The site describes aided and unaided baseline measurement, plus weekly monitoring and scan-to-scan reporting so teams can track change over time.
Findabl scores candidate prompts by winnability and shows what the AI-cited winner has that the target page does not, using categories such as schema, question headings, freshness, and bylines.
The product includes export-oriented outputs such as executive reports, PDF export, weekly digest emails, and self-audit publishing drafts for channels like Medium, Substack, and LinkedIn on higher plans.
A team can run a quick scan to see if its brand is cited by the supported engines for a set of buyer-style queries and get a baseline before making changes.
Marketers can compare their page with the cited winner to understand differences in structure, content depth, freshness, schema, or other signals the site says matter to AI engines.
Instead of a generic list of best practices, teams can use the action plan to decide which fixes are most likely to improve citation performance in the next cycle.
The pricing page supports tracking one brand, three brands, or up to twenty brands on team plans, which fits agencies or internal teams managing several properties.
The site highlights executive reports, PDF export, and self-audit publishing, which makes the scan output usable for stakeholder updates and thought leadership drafts.
It measures whether supported AI engines cite your brand, your competitors, or neither, and pairs that with a site audit and citation gap analysis.
The site says it checks ChatGPT, Gemini, Perplexity, and Claude.
Yes. The analyzer page says it runs buyer-style queries against the engines directly and counts actual brand mentions rather than modeled estimates.
The product returns a prioritized action list, competitive diagnosis, and reporting outputs such as citation reports and executive exports on eligible plans.
Yes. The site advertises a free citation score and a free scan in about 60 seconds with no signup required.
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