AEO: where we proved the skill system

Unilytics was built on real answer engine optimization (AEO) client work before it was a product. The library behind it, and the AEO skills you can run today.

The library behind it

skills
58
saved versions
943
learning notes
446
the keyword research skill's version
v85
A snapshot of the founder's own skill library (personal and project skills) on 24 October 2026. Learning notes are entries in the skills' memory.

UnivSense, the team that builds Unilytics, runs its own clients' AEO work through its AI with these skills. Every save of a skill is a new version, and what a run teaches is kept as a learning note the skill reads the next time it runs. The numbers show how much the system has been used and revised on real work; they are not client results.

AEO skills you can run today

Four of those methods ship with Unilytics. They are scrubbed copies: client names and data are replaced with placeholders, so the method is all that's left.

  • Workbook

    AEO keyword research and prompt simulation

    Keyword research for a client, or building the set of prompts to track in AI answers.

    Delivers · A checked workbook with a prompt map and a keyword map, then a baseline and share of voice.

    Live
  • Deck

    Quick AEO audit

    A fast AI-visibility audit or share-of-voice deck for a client or a prospect.

    Delivers · A deck of about a dozen slides with speaker notes, built on a baseline across ChatGPT, Claude and Perplexity.

    Live
  • Prompt matrix

    AEO prompt audit

    Cleaning up a list of tracked prompts that has grown messy.

    Delivers · Keep, rewrite, remove or review on every prompt, with a reason, a coverage matrix and a retire plan.

    Live
  • Clusters

    Prompt-to-page SERP clustering

    Mapping tracked prompts to pages, or finding AEO content gaps.

    Delivers · Prompt clusters assigned to existing or new pages, with an opportunity score per page.

    Live

Open-source AEO skills

  • Free on GitHub

    Planned

    The same AEO methods as a public skills repository, to install in any AI that runs Agent Skills. Run them with each client's context through Unilytics.

AEO is the first domain. Your method is the next.

Write the method once in your AI, save it to Unilytics, and run it for every client or brand.