AI SEO guide

Generative Engine Optimization Guide

Generative Engine Optimization is the practice of helping AI answer engines understand, cite and recommend your brand.

What is GEO?

Generative Engine Optimization, or GEO, expands SEO for a world where users receive generated answers instead of only search result pages. The goal is to improve how AI systems represent your brand.

GEO does not replace SEO. It builds on it. Technical SEO, strong content and authority still matter, but the measurement layer changes. You also need prompt tracking, answer analysis and competitor visibility data.

The core GEO workflow

A practical GEO workflow starts with prompts. Identify the questions that matter, test them across engines, record the current answer and analyze gaps. Then create or improve content to address those gaps.

  • Map buyer prompts
  • Check AI answers across engines
  • Score brand visibility and competitor presence
  • Improve pages and external proof
  • Track changes over time

What content works best?

AI engines respond well to content that is specific, structured and easy to summarize. Pages should define terms, answer objections, compare options and include concrete proof.

Thin blog posts are unlikely to move the needle. GEO content should be useful enough that a human would also trust it.

How to report GEO

Report on mention rate, average answer position, first answer position, competitor share of answer and content gaps. These metrics help stakeholders understand progress even before traffic attribution catches up.

How Seenrix helps

Seenrix tracks Google rankings, AI prompts, competitor mentions and AI visibility scores in one place, so you can prove whether your AI search optimization work is improving visibility over time.