AI Search & AEO

Buyers now ask ChatGPT, Perplexity, Gemini and Google's AI Overviews the questions they used to type into a search box. The answer they get names a handful of vendors and cites a handful of sources. This collection covers how to become one of them: what answer engine optimization (AEO) and generative engine optimization (GEO) change about search, how to structure pages so models can quote them, and how to measure whether any of it is producing pipeline.

Start here

• Answer Engine Optimization: 2026 Revenue Growth Strategy: the phased plan for becoming the answer an AI assistant gives in your category.
• AEO vs SEO: A Revenue-Focused Guide: where the two diverge and which existing SEO work still carries over.
• AI Visibility Audit: A Practical Playbook for B2B: how to find out where you stand before you change anything.

Understand the shift

• AI Answer Engines: How They Power Search: which engines send citations, and why that concentration matters.
• GEO vs SEO: Winning the New Citation Economy: why rank alone stops predicting revenue once answers are generated.
• Generative Engine Optimization: The C-Suite Revenue Plan: the board-level view, with the KPIs that track it.

Build the strategy

• AEO Strategy That Wins AI Answers and Pipeline: tying AI visibility work to pipeline.
• AI Search Optimization: A Revenue Playbook: including the off-page work most teams skip.

Get cited by specific engines

• How to Rank in Google AI Overviews: what AI Overviews select for and what to stop doing.
• How to Get Recommended by ChatGPT, Claude or Gemini: why models name some vendors and not others.

Make your content and site extractable

• How to Optimize for AI Search: the content and markup changes that actually move citations.
• Optimize Content for LLMs: formatting, chunking and self-contained answers that survive retrieval.
• Optimize llms.txt: what the convention is for and what it realistically achieves.
• Prepare Your Website for AI Agents: the architecture, product data and API changes agents need before they can evaluate and buy.

Common questions

What is answer engine optimization?

Answer engine optimization is the work of getting your brand selected, named and cited when an AI assistant or AI search feature answers a question in your category. It combines on-page structure that models can quote, off-site mentions that models trust, and measurement of how often you appear in the answers your buyers actually see.

How is AEO different from SEO?

SEO earns a ranked link that a searcher may click. AEO earns a mention or citation inside a generated answer, often with no click at all. Most technical SEO still matters because many answer engines retrieve from search indexes. What changes is how pages are written (short, self-contained answers), how much off-site reputation counts, and what you measure: your share of citations across a fixed set of buyer questions.

Is GEO the same thing as AEO?

The terms overlap heavily and are often used interchangeably. GEO is usually used for generative search products such as Google AI Overviews and Perplexity, and AEO for assistants that answer directly, such as ChatGPT. The work is largely the same.

How do you measure AI visibility?

Build a fixed list of the questions your buyers ask, run them through the main engines on a regular schedule, and record whether your brand is named, whether you are cited as a source, and which competitors appear instead. Tracking that share over time is the baseline. The AI visibility audit walks through the process.

Does llms.txt improve AI visibility?

Probably not by much today. It is a proposed convention, and support from the major answer engines is limited and unconfirmed. It is cheap to add, so treat it as housekeeping and put the real effort into content structure and off-site mentions.