Use casesUse cases
Use cases
What people run through Unilytics skills, starting with answer engine optimization (AEO), the work we built and proved the skill system on.
Answer engine optimization (AEO)
Getting a brand named in ChatGPT, Claude, Perplexity and Gemini answers. It's the work we built Unilytics on: keyword and prompt research, AI-visibility audits, prompt clean-ups and prompt-to-page maps.
Other work the skills cover today
SEO audits
The SEO audit deck and workbook skill turns a site crawl into an audit deck, workbooks, a 90-day roadmap and a health score.
LivePage structures
The comparison page and industries page skills plan "brand vs rival", alternative-to and industry pages from published benchmarks.
LiveOn-brand client documents
The doc template design skill builds Word deliverables on the client's brand or template, with a render check before they go out.
Live
How a use case runs
- Connect your AI once. Add the Unilytics connector to Claude or Claude Code and sign in with Google.
- Pick the client or brand. Each one is a project with its Brand Kit and knowledge base.
- Ask for the deliverable. Your AI finds the skill that fits, loads the project's context and works through the skill's steps.
- Keep what it learned. The run's lessons go into the skill's memory, and when you save a better method, it becomes the skill's next version.
Bring your own method
Any method you repeat for clients or brands can become a skill. Write it once with your AI, save it to Unilytics, and run it for the next client or brand with their context loaded.