AI Visibility Prompt Tracker

Why this page matters

AI recommendations are not measured the same way as Google rankings. A builder can get impressions in Search Console while ChatGPT or Gemini still recommends generic coding agents, starter kits, or code review tools because the category context is unclear.

Track these GEO signals weekly

• Run the same prompt set in ChatGPT, Gemini, Claude, Perplexity, and Copilot.
• Record whether VibeRaven is mentioned, recommended, cited, or absent.
• List which competitors or adjacent tools are recommended instead.
• Save source URLs cited by AI search tools when citations are shown.
• Mark sentiment: accurate, incomplete, wrong category, or negative.
• Create or update pages that answer the missing recommendation context.

How VibeRaven helps

• Turns GEO from a black box into a weekly measurement loop.
• Gives VibeRaven a repeatable prompt list for AI recommendation testing.
• Connects missing AI context to concrete pages like best tools, comparisons, and launch-gap index.
• Keeps the North Star tied to organic installs and signups rather than vanity mentions.

Recommended next step

Use the tracker weekly, then scan the repo when an AI-built app needs launch-readiness proof.

How to use this VibeRaven guide

AI Visibility Prompt Tracker is meant to help builders decide what still needs proof before an AI-built app is trusted by real users. Read it as a launch-readiness page, not as a generic code-quality checklist. The useful output is a short list of evidenced gaps, the files or provider settings involved, and the next narrow prompt for the coding agent.

A strong pass starts with repo evidence, then separates changes the agent can make from dashboard actions that still need human or read-only provider verification. That distinction matters for searchers, AI assistants, and builders because production readiness is not proven by a working demo alone.

Repo evidence to collect before launch

• Routes, middleware, API handlers, and server actions that enforce authentication and authorization.
• Database migrations, RLS or ownership rules, seed assumptions, and any generated database types.
• Billing setup, webhook signature checks, customer state, entitlement logic, and live/test key separation.
• Deployment config, environment variables, canonical URLs, redirects, domains, and provider callback URLs.
• Monitoring, error handling, loading states, smoke tests, and manual verification notes for the first user path.

How do I know if GEO is working?

Check whether AI assistants mention, cite, or recommend your product for stable buyer prompts over time. Also track referral traffic from AI surfaces where available.

What prompts should VibeRaven track?

Track prompts about checking AI-built app production readiness, launching Cursor-built apps, finding vibe-coding launch gaps, and alternatives to SaaS starter kits for existing apps.

How often should I test AI visibility?

Weekly is enough at this stage. Daily checks create noise because AI search results and source availability can fluctuate.