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
RivendicaFindabl is an AI citation intelligence platform that shows whether ChatGPT, Gemini, Perplexity, and Claude cite your brand or competitors. It helps teams measure AI visibility, identify citation gaps, and turn findings into prioritized actions.
AI citation intelligence for measuring brand visibility in answer engines
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.
Core capabilities
Site audit of citation signals
The analyzer reviews signals AI engines may weigh, including title tags, headings, schema markup, FAQ structure, author bylines, content depth, and accessibility.
Citation gap report with prioritized actions
After a scan, the product returns a prioritized list of actions tied to the observed gap, the user’s industry, and competitor context.
Baseline and tracking views
The site describes aided and unaided baseline measurement, plus weekly monitoring and scan-to-scan reporting so teams can track change over time.
Competitive diagnosis and prompt selection
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.
Publishable outputs for teams
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.
Practical ways teams use Findabl
Checking whether a brand is visible in AI answers
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.
Finding why competitors are being cited instead
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.
Prioritizing content and visibility work
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.
Tracking progress across multiple brands
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.
Turning scan results into client or internal reporting
The site highlights executive reports, PDF export, and self-audit publishing, which makes the scan output usable for stakeholder updates and thought leadership drafts.
Pros and Cons
Pros
- Uses real responses from ChatGPT, Gemini, Perplexity, and Claude rather than modeled estimates.
- Combines a visibility scan with a concrete action plan instead of stopping at a score.
- Explains the observed gap and includes a verification test for each recommendation.
- Supports ongoing monitoring, which helps teams see movement over time rather than one-off results.
- Offers outputs that can be shared in reports or publishing workflows on higher plans.
Cons
- The free scan is positioned as a quick check, while deeper tracking and reporting require paid plans.
- Some features are plan-dependent, such as team roles, BYOK on the team plan, and publishing exports.
- The site does not provide a full public integrations list beyond the supported AI engines and reporting/export workflows.
FAQ
What does Findabl measure?
It measures whether supported AI engines cite your brand, your competitors, or neither, and pairs that with a site audit and citation gap analysis.
Which AI engines does it check?
The site says it checks ChatGPT, Gemini, Perplexity, and Claude.
Is the scan based on real responses?
Yes. The analyzer page says it runs buyer-style queries against the engines directly and counts actual brand mentions rather than modeled estimates.
What comes after a scan?
The product returns a prioritized action list, competitive diagnosis, and reporting outputs such as citation reports and executive exports on eligible plans.
Does Findabl offer a free way to start?
Yes. The site advertises a free citation score and a free scan in about 60 seconds with no signup required.
Quick Facts
- Category
- AI citation intelligence
- Primary use
- Measure brand citations in AI answer engines
- Supported engines
- ChatGPT, Gemini, Perplexity, Claude
- Free entry point
- Free scan / citation score in about 60 seconds
- Pricing
- Paid plans start at $49 per month
- Source domain
- findabl.app