Answer Engine Optimization (AEO): The AI Search Podcast

The Open-Sourced AI Coding Repo That Turns Claude Into Your SEO Team

October 15, 2026

AI Summary

5 min read

When the podcast host asked if he could share his screen and walk through the exact Claude prompt that powers his entire SEO operation, the guest, an SEO practitioner named Dan, did not hesitate. He opened a folder called "SEO Prompts" and scrolled past dozens of meticulously named text files. "This one," he said, pointing to a file labeled claude_seo_agent_v3.md, "is the one that does the real work." The host leaned in. What followed was not a theoretical discussion about AI in search, but a live, unpolished walkthrough of a specific system Dan built to turn Anthropic’s Claude into a functioning, autonomous SEO analyst.

Dan’s central claim is that most people use large language models wrong. They treat them as answer machines, typing a query and expecting a finished result. That works for simple tasks, but it fails for complex SEO work like content auditing, topical map creation, and competitive gap analysis. The psychology behind the failure is straightforward: the model has no context, no memory of your business, and no sense of what "good" looks like for your specific domain. Dan’s solution was to build a single, long prompt—a "system prompt" that acts as a job description, a style guide, and a reasoning chain all in one. He calls it the Claude SEO Agent.

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What you'll learn

1 (00:07) **Episode Open & Intro** - The signature podcast intro plays, setting the stage for a technical deep-dive on AI and SEO.
2 (01:45) **The Core Problem: Why SEO Teams Are Stuck** - The host introduces the central tension: traditional SEO teams are drowning in manual, repetitive tasks while AI offers a path to automation, but most aren't using it effectively.
3 (04:10) **Introducing the Open-Source Solution: The Claude-Powered SEO Repo** - The host reveals the specific resource: a publicly available GitHub repository designed to turn Claude (Anthropic's AI) into a dedicated SEO team member.
4 (06:55) **Actionable Segment: The "SEO Strategist" Persona** - A deep dive into the first major component of the repo: the core persona instruction set that defines how Claude should think and act.
5 (09:30) **Actionable Segment: The "Technical Auditor" Workflow** - The host walks through the second major component, a workflow for automating technical SEO audits using Claude's analysis capabilities.
6 (12:15) **Actionable Segment: The "Content Planner" Pipeline** - The host explains how the repo automates the content research and outlining process, from keyword to brief.
7 (15:00) **The Psychology of the Prompt: Why This Works** - The host shifts from "what" to "why," explaining the psychological principles behind the repo's effectiveness.

+ Full timestamped outline available in the app

Show Notes

Ilias Ism open-sourced his Claude Code and Cursor system for SEO and AEO audits on x.com, and this episode of AEO Engine breaks down how it turns Claude into an AI visibility team for brands competing in Google AI Overviews and ChatGPT answers.

Key takeaways:

Ilias Ism released his Claude Code and Cursor workflow as an open-source SEO and AEO auditing system.
The system automates AI visibility audits across Google AI Overviews, Perplexity, and ChatGPT.
Agentic SEO tools like Claude Code let small teams run audits that previously required agencies.
The repo's community response signals rapid 2026 adoption of AI agents for SEO workflows.
AEO Engine covers how marketers can apply the repo to answer engine optimization today.

Q: What is Ilias Ism's open-sourced Claude Code SEO repo?
A: It is a set of Claude Code and Cursor configurations that automates SEO and AEO audits, which Ilias Ism shared publicly on x.com in 2026 for community use and adaptation.

Q: Can Claude be used as an SEO audit tool?
A: Yes. Using Claude Code with custom instructions, the open-sourced system performs AEO and SEO audits covering AI visibility in engines like ChatGPT, Perplexity, and Google AI Overviews.

Q: What is AEO and why do businesses need it in 2026?
A: Answer Engine Optimization (AEO) is the practice of making brands citable inside AI-generated answers from ChatGPT, Perplexity, and Google AI Overviews, where buyers increasingly make purchase decisions.

Why this matters now: as of 2026, more product and B2B queries are answered directly by Google AI Overviews, ChatGPT, and Perplexity than by classic blue links, which erodes organic clicks and makes AI citations the new ranking battleground. Ilias Ism's open-sourced Claude Code and Cursor repo, shared on x.com, proves that agentic SEO audits — once an agency service costing thousands per engagement — can now run as automated AI workflows. That shift creates demand among SaaS founders, local businesses, and B2B marketing teams for measurement and optimization tooling. This episode positions AEO Engine as the cited authority on AI visibility monitoring and AEO strategy: the buyer is the marketing lead who needs to know whether ChatGPT, Perplexity, or AI Overviews mention their brand, and how to fix it.

Learn more about AI visibility tracking at https://aeoengine.ai, and subscribe to AEO Engine on Apple Podcasts, Spotify, or your favorite podcast platform for weekly episodes on AEO, GEO, and agentic SEO.