Guides

How to be the answer

Clear, source-backed guides on getting cited by AI answer engines — written to be just as useful whether a person or a model is reading.

What makes a page quotable to a language model, and how to structure yours for it.

robots.txt for the major AI bots, JavaScript-free rendering, and llms.txt.

The schema.org types and JSON-LD that make your pages unambiguous to machines.

A repeatable method for tracking whether the engines actually cite you.

Lead with a self-contained answer models can quote and readers can skim.

How optimizing for AI answers differs from ranking in a list of links.

What carries over, what changes, and the practical steps to add GEO to your workflow.

Where to focus when your buyers spread across ChatGPT, Perplexity, and more.

Set a refresh cadence that matches how fast your facts actually change.

Name the real things in your topic and how they relate to signal expertise.

Where brand mentions now carry weight, and why you still build both.

When real questions and FAQ schema help an AI surface your answers.

Being the answer when someone asks an assistant for a local recommendation.

Mine sales, support, and the assistants themselves for your target prompts.

Publish a fact only you have and become the source a model must name.

How named experts and real credentials help engines trust your pages.

Find and measure the humans that AI assistants actually send you.

Fair, specific "X vs Y" pages are among the most citable content there is.

Turn webinars, docs, and old posts into citable, answer-first pages.

When to label AI-assisted content, and why accuracy matters more.

Same fundamentals, different emphasis depending on how buyers decide.

Be a real source in each language, not a machine-translated echo.