Become the Source LLMs Retell
GEO mini guide · Levels 4-5 of the SEO + AEO + GEO Playbook
LLMs retell someone else’s content. Make it yours
Become the source models lean on
Inside, you will learn:
How ChatGPT, Perplexity, AI Overviews, Claude and Copilot pick sources differently
Part 3 of the SEO + AEO + GEO Playbook from AI GOAT. Levels 4-5 of the maturity model: platform behavior, next-generation tech and measurement, all from client practice.
- How to open the site to AI crawlers via robots.txt with the right user agents
- How to deploy llms.txt and assess an MCP connection
- How to get the site ready for AI agents: labeled buttons and forms, actions without client-side JS
- How to launch the manual visibility protocol in the first week
- How to remove anti-patterns: machine-first over-optimization and unedited AI content
- How to run the final self-check across all 4 categories
GEO Mini Guide
Part 3 of the Playbook: becoming the source models retell.
Inside:
- The five-platform behavior table: how each picks sources
- robots.txt for AI crawlers: GPTBot, PerplexityBot, ClaudeBot, Google-Extended
- llms.txt, MCP and AI-agent accessibility
- Levels 4-5 of the maturity model across all categories
- Anti-patterns and the final self-check checklist
For those who have the basics and the answers handled, and are heading for the peak.
You will be able to:
- Open the site to AI crawlers from a ready-to-go robots.txt snippet
- Deploy llms.txt and get the site ready for AI agents
- Understand query fan-out and why narrow pages beat the page about everything
- Run a measurement protocol over 20-30 queries and 3-4 systems
- Scale authority into an industry reference point
- Pass the final 4-category self-check
10 jobs this guide gets done:
- Understand the five platforms’ source logic
- Open the site to AI crawlers via robots.txt
- Deploy llms.txt
- Assess an MCP connection
- Get the site ready for AI agents: buttons, forms, actions without JS
- Get query fan-out
- Build pillar pages and a content hierarchy
- Run the manual measurement protocol, no paid tools needed
- Remove anti-patterns: over-optimization, unedited AI content, astroturfing
- Pass the final 4-category self-check
A system, not a pile of tips
Levels 4-5 of the maturity model, where you arrive prepared.
The top of the playbook: platform behavior, next-generation tech and measurement.
01How models choose: the five-platform behavior table
02Query fan-out: why narrow pages beat the page about everything
03Your own site vs external PR: what actually gets cited
04robots.txt for AI crawlers: which bots to allow, plus a ready-to-go snippet
05llms.txt, MCP and AI-agent accessibility
06Levels 4-5: pillar pages, personalization, schema automation
07The manual measurement protocol: three metrics, one spreadsheet, live in a week
08Anti-patterns and the final 4-category checklist
Buy once, keep forever
802 downloads
802 downloadsTech leads, SEO specialists and editors already becoming the source AI retells
Get it for $29“I uploaded the llms.txt file and updated robots.txt in 10 minutes using the ready-made code from the guide. We used to just blindly block every AI bot out of fear for our server load. Claudebot and gptbot are finally indexing our technical documentation properly.”
“The table breaking down the AI systems turned out to be the most practical thing I’ve read in a while. We understood why Perplexity was citing the site while Copilot and Claude ignored it. The query fan-out mechanic completely changed how we approach architecture for large clients.”
“We used to crank out giant catch-all guides on everything under the sun and wonder why the models were sourcing our competitors’ narrow sites instead. Once we got the logic from the second section, we split three long reads into focused pages targeting specific intents and showed up in AI Overviews fast.”
“Thanks for the tough breakdown of anti-patterns. Without realizing it, we’d spammed our blog with AI-generated copy that hadn’t been properly edited, and kept wondering about the drops. We cleared out that junk using the self-check checklist, and our citation rate in answers started climbing again.”
“The 20-30 query measurement protocol was working literally on day one. We built a simple spreadsheet, and we check mentions by hand once a week across four systems. No getting fleeced on expensive services and subscriptions, and we get clear analytics for management.”
“I was looking for a clear breakdown of how to prepare forms and buttons for AI agents without a lot of unnecessary theory. The guide gave me a straight rundown on site accessibility and actions without JS.”
FAQ
Yes. Markup comes as templates, llms.txt is assembled by instruction.
You need to edit pages and upload files to the website. That is enough.
AEO is about landing in the answer, GEO is about being the source machines read and retell. This guide covers the second.
The guide includes a manual measurement protocol: you take 20-30 queries, check yourself across 3-4 systems, and watch how it trends week to week. You’ll see where you’re already getting cited and where you’re not yet. No paid subscriptions needed.
The playbook takes you to levels 4-5 from zero: the SEO foundation, getting into answers, and only then this. Cheaper than three minis bought separately.
A PDF, right after payment.
GEO Mini Guide
$99$29
SAVE 71%Part 3 of the SEO + AEO + GEO Playbook. Become the source while competitors are still asleep.
Inside:
- The five-platform behavior and source logic
- robots.txt for AI crawlers: a ready-to-go snippet
- llms.txt, MCP and AI-agent accessibility
- Levels 4-5 of the maturity model across all categories
- Anti-patterns and the final self-check checklist
Want every level at once? The full SEO + AEO + GEO Playbook costs less than three minis bought separately.