One workspace for several discovery systems
People discover products through more than a single results page. They search Google, ask answer engines, watch short-form video, read community discussions, inspect ads, and browse app stores. Rankizz.com keeps the evidence from those systems in one project so a team can compare what appears, what is missing, and what changes over time.
The product combines guided dashboard workflows with a public REST API and a remote Model Context Protocol server. The same underlying tools can therefore be used by a person, an internal service, or an authorized AI agent.
What a project can contain
A project gives research a shared domain, market, and language context. Depending on the workflow, results can include keywords, live rankings, backlinks, Search Console metrics, AI citations, social posts, public ads, app listings, and scheduled tracking history.
- Google keyword and SERP research with saved rank tracking
- AI prompt results with brand mentions and cited source URLs
- Public YouTube, Reddit, LinkedIn, TikTok, Instagram, and Facebook Ad Library research
- Apple App Store and Google Play research and position tracking
- REST API and MCP access to supported product tools
Related feature guides
Google Search
Turn Google rankings and Search Console data into a working research plan.
AI Search
See which brands AI answers mention and which sources they trust.
YouTube
Study the videos and channels customers find for important searches.
App Stores
Research app-store rankings from both the keyword and the app.
Use your own data