Get found in the AI era (AEO/GEO)
Buyers ask an answer engine now. Make sure it quotes you, not your competitor. This is the one-time push to get quoted by answer engines, not the ongoing publishing cadence (that is content-engine); already running content-engine? You share the customer-research and content-brief steps with it, so reuse those and focus here on positioning and the answer-engine audit.
Get found in the AI era (AEO/GEO)
Buyers ask an answer engine now.
Make sure it quotes you, not your competitor. This is the one-time push to get quoted by answer engines, not the ongoing publishing cadence (that is content-engine); already running content-engine? You share the customer-research and content-brief steps with it, so reuse those and focus here on positioning and the answer-engine audit.
Real customer language
Sharp positioning
An AEO audit
A content brief for each priority question
Getting found in the AI world
The AEO and GEO play: start with the customer, write what the answer engine will quote.
The workflow that solves it, one step at a time.
Each step is the plain question you are already asking. The skills answer them in order, one handing its receipt to the next.
Who to talk to, a non-leading interview guide, and how to turn transcripts into positioning and messaging inputs.
Turns what you do, who it's for, and why you win into one positioning statement and a full message house.
Audits a page or site on both tracks and returns effort-vs-impact ranked fixes so an AI answer engine will quote you.
Turns a keyword or topic plus an audience into a writer-ready brief that kills the back-and-forth.
Real customer language, sharp positioning, an AEO audit and a content brief for each priority question, not just one pass.
- All 4 chained skills resolve to real, scored skills.
- Has a problem, an outcome, 2+ steps, and proof from a real build.
- Ships an example chat showing the play run in Claude.
- Reads in plain operator voice, grounded in a real build.
We did not just check the structure. A judge read this play against the full text of every skill it chains (composition), then ran it on a real scenario end to end (simulated). It passed both. Test scenario: Casey, a founder, notices buyers ask ChatGPT before they talk to sales and wants to get quoted, not just found.
Watch the skills answer in order.
Describe your situation in plain language. The right skill fires on its own and hands its receipt to the next.
Before you run it, I ran it for real.
This workflow is genericized from a real build. Here is the number it moved, and what I actually did.
WHAT I DID ›
AEO and GEO are not SEO with a new coat of paint. The machine answering your buyer only quotes what it can source, in the buyer's own words, so start by understanding the customer, rewrite the positioning to be quoted rather than ranked, reallocate your prompt budget to Defend, Intercept, and Define, name the AI only where it earns the line, and lock the story to one versioned source. Get found where the buyer actually looks now.
Dig into the full build →One plugin. 4 skills, bundled.
The whole playbook installs as a single plugin in Claude Code, no copy-pasting 4 times. Or grab any single step above. It runs on what you paste; connect your stack to go live.