Data & Analytics
Operato AI
Find out if AI assistants recommend your brand, and what to fix first.
- Category
- Data & Analytics
- Stage
- Growth
- For
- Founders and marketing teams at small and mid-sized B2B, SaaS and e-commerce companies who want ChatGPT and other AI assistants to recommend them.
About
See how ChatGPT, Gemini and Claude describe your brand, who they recommend instead, and what to fix first.
Features
- Problem
- A brand may be absent from the AI answers buyers use to compare options.
- How it works
- Tracks selected brand, buyer-question, and competitor topics weekly across six AI engines, including ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and AI Mode.
- Result
- Teams can monitor presence, citation rate, share of voice, position, and competitor rankings over time.
- Why
- A brand's presence can differ by question and assistant, so a single spot-check may not show the overall picture.
- Problem
- Visibility scores alone do not explain what is driving results or what to do next.
- How it works
- Reports weekly changes and provides an action plan; the product describes its composite Visibility Score as showing what feeds into it.
- Result
- Marketers get prioritized next steps rather than a score they must interpret themselves.
- Why
- Teams need interpretable findings and practical fixes, not a black-box metric.
- Problem
- AI assistants may misrepresent a brand or rely on competitors' claims.
- How it works
- Shows AI mentions and explains how assistants describe the brand, alongside visibility measures.
- Result
- Companies can identify inaccurate descriptions and gaps in their AI presence.
- Why
- Teams cannot correct an inaccurate narrative they cannot see.
- Problem
- Teams may not know whether their website is accessible and understandable to AI crawlers.
- How it works
- A free checker reviews crawler access, readable page content, llms.txt, structured data, metadata, and site reachability; it returns a readiness score and ranked fixes.
- Result
- Teams receive a prioritized technical readiness report, delivered as a PDF by email.
- Why
- AI systems cannot reliably use information they cannot access or interpret.
- Problem
- AI assistant advertising reports may not show whether paid spend caused incremental results.
- How it works
- The ads reporting view tracks spend, ROAS, CAC, and CTR by platform and campaign, alongside organic visibility, and addresses incrementality.
- Result
- Teams can evaluate ad metrics alongside organic visibility and assess whether spend adds lift.
- Why
- Reported ad performance can reflect conversions that would have happened anyway.
- Problem
- Growing teams need access without per-seat fees and may want programmatic checks.
- How it works
- Plans include unlimited seats; the Scale plan includes API and MCP access for programmatic checks.
- Result
- Teams can add collaborators without seat charges, with programmatic access available on Scale.
- Why
- Per-seat pricing can make collaboration costly, while programmatic access supports automated workflows.
Product questions
What does Operato AI do?
Operato AI measures how a brand appears in AI-generated answers, tracks visibility across six AI engines, and gives teams a weekly plan for improving it. It also offers AI assistant ad reporting and incrementality measurement.
Who is Operato AI for?
Founders and marketing teams at small and mid-sized B2B, SaaS and e-commerce companies who want ChatGPT and other AI assistants to recommend them.
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