Michael Cortez

What is the difference bettwen GEO vs SEO graphic

GEO vs. SEO: What’s Actually Different in 2026 (And What the Guides Get Wrong)

GEO (Generative Engine Optimization) and SEO are not the same discipline with a new name. They optimize for different retrieval systems, measure success differently, and require different content decisions. SEO earns rankings and clicks. GEO earns citations inside AI-generated answers, and the overlap between those two outcomes has collapsed from roughly 75% in mid-2025 to […]

GEO vs. SEO: What’s Actually Different in 2026 (And What the Guides Get Wrong) Read More »

How to Rank in ChatGPT Graphic - fan out query

How to Rank in ChatGPT: The 2026 Guide to Getting Cited (After Three Model Changes)

To rank in ChatGPT, you need to appear in Bing’s index for the sub-queries ChatGPT generates internally, structure your content so the answer appears in the first 30% of the page with a heading that matches those sub-queries, and build third-party coverage that embeds your brand in ChatGPT’s training data. Every existing guide stops at

How to Rank in ChatGPT: The 2026 Guide to Getting Cited (After Three Model Changes) Read More »

LLM and GEO SEO

LLM SEO: How to Get Your Brand Cited and Ranked in AI Search (2026)

LLM SEO is the practice of getting your brand cited and recommended inside AI-generated answers from ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude. It is not a replacement for traditional SEO. It sits on top of it. The two biggest levers are the same ones that have always mattered, applied to a new surface:

LLM SEO: How to Get Your Brand Cited and Ranked in AI Search (2026) Read More »

Semantic Gap Analysis Graphic

Semantic Gap Analysis at Scale: How Claude Code Subagents Find What Your Content Is Actually Missing

Semantic gap analysis identifies which entity attributes, subtopics, and co-occurring concepts are missing from your content, not which keywords you forgot to include. Run a keyword gap tool and you get a list of queries your competitors rank for that you do not. Run a semantic gap audit and you get something more useful: a

Semantic Gap Analysis at Scale: How Claude Code Subagents Find What Your Content Is Actually Missing Read More »

The Screaming Frog MCP Changes What’s Possible for Technical SEO Agents: Here’s the Full Claude Code Workflow

What is the Screaming Frog MCP? The Screaming Frog MCP server (released in SEO Spider v24) lets Claude run crawls, generate reports, execute custom Node.js scripts against crawl data, and write findings to your project files, all without leaving a Claude Code session. You give Claude a domain and an audit brief. It crawls, reports,

The Screaming Frog MCP Changes What’s Possible for Technical SEO Agents: Here’s the Full Claude Code Workflow Read More »

How to Audit Your Google Knowledge Panel with Claude Code (2026): The 20-Minute Entity Corroboration Workflow

A Knowledge Panel audit compares four signals side by side, your Entity Home, your Wikidata record, your on-page schema, and the Knowledge Panel Google currently displays, then identifies which corroboration gaps are stopping Google from raising its confidence in your entity. The Claude Code workflow below runs that comparison in one session using parallel subagents,

How to Audit Your Google Knowledge Panel with Claude Code (2026): The 20-Minute Entity Corroboration Workflow Read More »

The EAV Framework: How to Structure Content So Google Reads It Like a Knowledge Graph Entry

The Entity-Attribute-Value (EAV) framework is a content structuring method that mirrors how Google’s Knowledge Graph stores information. Every entity Google recognizes, whether a brand, a person, a product, or a local service, is described through a set of attributes, each holding a specific value. A page about a plumbing company that covers services, location, and

The EAV Framework: How to Structure Content So Google Reads It Like a Knowledge Graph Entry Read More »

Information Gain SEO: How to Score Your Content Before You Publish Using Claude Code (2026)

Information gain is Google’s measure of how much new, original knowledge a piece of content adds to the existing web. Not freshness. Not length. Not keyword density. The question Google’s systems ask is whether your page says something that the other pages ranking for this query do not. The March 2026 core update confirmed this

Information Gain SEO: How to Score Your Content Before You Publish Using Claude Code (2026) Read More »

Claude Code Setup: The Infrastructure That Makes Agent Outputs Consistent

Most people set up Claude Code the same way. They create a CLAUDE.md, maybe add a few skills, and start running tasks. The folder structure looks right. The outputs vary anyway. The gap isn’t in how the folder is organized. It’s that organization and reliability are different problems, and only one of them gets covered

Claude Code Setup: The Infrastructure That Makes Agent Outputs Consistent Read More »

Entity Disambiguation and Knowledge Graph Entry: How to Teach Google Exactly Who You Are

Before Google can cite your page in AI Overviews, surface your Knowledge Panel, or give you entity-level authority on a topic, it has to be certain about something more basic: that it knows which entity you are. Not just that a “Michael Cortez” exists somewhere on the internet – but that the Michael Cortez writing

Entity Disambiguation and Knowledge Graph Entry: How to Teach Google Exactly Who You Are Read More »