How AI Search Engines Work: Retrieval, Synthesis, and Sources
Understand the practical path from a search question to an AI-generated answer, including retrieval, synthesis, citations, variance, and what teams can measure.
Free, step-by-step guides to getting your brand into ChatGPT, Gemini, Perplexity and Google AI Overviews. Learn how AI search works, how to measure AI visibility, and how to get cited.
Start from the question your team is asking.
What GEO, AEO and AI search optimization mean, how they differ from SEO, and how AI tools choose which brands to name.
Understand the practical path from a search question to an AI-generated answer, including retrieval, synthesis, citations, variance, and what teams can measure.
GEO and SEO serve related but different jobs. Learn how traditional search optimization and generative engine optimization fit together in one measurable workflow.
AEO vs SEO compared: what each one measures, where they overlap, and how to run both without duplicating work.
GEO and AEO overlap, but the labels point to different measurement emphases. Use this practical comparison to connect AI answers, sources, SEO, and buyer intent.
LLM optimization and GEO overlap, but neither is a magic ranking switch. Use this practical framework to separate model behavior from the evidence a team can improve.
What llms.txt is, the exact file format, a working example, which AI systems say they use it, and how to create one in minutes.
Choose the questions to track, run an AI visibility audit, and see how you compare with competitors.
Turn real customer questions into a scoped, repeatable set of prompts for your AI visibility program.
Learn how to measure AI search visibility with a repeatable prompt set, answer-level metrics, competitor context, citation evidence, and a clear reporting workflow.
Set up a practical AI search visibility program with buyer prompts, repeatable collection, competitor context, citations, and an evidence-led review cadence.
Run an AI visibility audit with a fixed question set, saved answers, separate presence, accuracy and source checks, a site-readiness review, and one repeatable recheck.
Compare brands across the same AI buyer questions, retain answer and source evidence, separate Google rankings from AI responses, and turn repeated gaps into testable actions.
Find the sources AI trusts, close citation gaps, and write content that ChatGPT and Google AI Overviews can quote.
Learn how to improve the chance that ChatGPT and other AI search systems cite your brand with clear entities, useful evidence, accessible pages, and repeatable monitoring.
Use AI citation gap analysis to compare your brand with competitors, identify missing evidence, and prioritize pages or authority work without guessing at model rankings.
A practical AI search optimization workflow: fix access, answer the question directly, add verifiable evidence, connect sources, and validate what changes.
Turn the work into a monthly routine, report it clearly, and choose the right tools.
Create a review cadence that connects recorded answers to owned investigations, content tasks, and clear reporting.
Compare 15 AI visibility platforms for agencies on client workspaces, prompt scope, answer evidence, reporting, and plan limits.
What an AEO tracker measures, why a rank tracker cannot measure AI answers, and a six-point checklist for choosing one.
The two kinds of AI marketing agency, what each one does, what they cost, and how to choose one for search and AI answers.
GEO and AEO agencies compared by type, published pricing and what to check before hiring one. Digraph publishes this list and is included in it.
GEO, or generative engine optimization, is the work of making your brand more likely to appear in answers from AI tools such as ChatGPT, Gemini, Perplexity and Google AI Overviews.
They describe the same goal with different names. AEO, answer engine optimization, is the older term. GEO is more common when talking about generative AI tools. Both focus on being named and cited in answers.
Start with how AI search engines work, then build a short list of customer questions and run a first AI visibility audit. The handbook puts these steps in order.
Make sure AI crawlers can read your site, publish clear pages that answer buyer questions directly, and earn mentions on the review and comparison sites that AI already cites. The guide on getting cited by ChatGPT walks through each step.