Where to Learn GEO and AEO: Reliable Guides, Papers and First Steps
The most reliable places to learn GEO and AEO are the documentation published by Google, Microsoft, OpenAI, Anthropic and Perplexity, followed by a small set of research papers, read with their methods in mind. Everything else, including vendor blogs, courses and videos, is best treated as interpretation to check against those sources. Start with SEO fundamentals and Google's guide to its generative AI features. Then learn how AI search retrieves and cites pages, and practise by testing questions about your own business in the engines your customers use. Hands-on testing teaches more than any course, because answers vary by engine, market and date.
Where should a beginner start?
Start with the sources that describe how the systems work, written by the companies that run them. They are less exciting than "ultimate GEO guides", but they are accurate and they change when the systems do. Google's own guide to optimizing for generative AI features is the best single starting point. It explains how AI Overviews and AI Mode use pages, and it states plainly that good SEO practice still applies. It also covers what does not help, such as llms.txt files for Google Search or splitting content into chunks.
After that, learn in this order:
- SEO basics, because most AI search engines retrieve pages from a search index first.
- How AI search retrieves and cites: query fan-out, grounding and why answers vary between runs.
- Crawler access: which bots each company uses and what blocking them does.
- Measurement: how to run questions repeatably and record mentions and citations.
- Content and off-site work: answer-first writing, original information and third-party coverage.
A practical walk-through of the whole process is in how to do generative engine optimization, step by step.
Which official guides are worth reading?
| Publisher | What to read | What you learn |
|---|---|---|
| Guide to optimizing for generative AI features; AI features and your website; Search Console help for the Generative AI performance report | How AI Overviews and AI Mode choose and show pages, eligibility, controls and reporting | |
| Microsoft | Bing Webmaster Guidelines; Microsoft Advertising's GEO and AI search content guides (October 2025 and January 2026) | How Bing and Copilot use content and data, including product data |
| OpenAI | Documentation on its crawlers (GPTBot, OAI-SearchBot, ChatGPT-User and the ads-validation bot OAI-AdsBot); merchant product feed documentation | What each bot does, how to appear in ChatGPT search and shopping |
| Anthropic | Help article on its crawlers (ClaudeBot, Claude-User, Claude-SearchBot) | What each bot does and how to control it |
| Perplexity | Crawler documentation (PerplexityBot, Perplexity-User) | How Perplexity fetches pages |
Whether these companies publish explicit optimization advice, and how far to trust it, is covered in whether AI search providers publish optimization guidelines for websites.
Where can I find research studies on AI search visibility and citations?
A few studies are worth knowing, both for what they found and for their limits:
| Study | What it found | Keep in mind |
|---|---|---|
| Aggarwal et al., "GEO: Generative Engine Optimization" (2023, KDD 2024) | Adding citations, quotations and statistics improved visibility in generative answers by up to 40% in its tests | Tested mainly on a benchmark engine, with a smaller check on Perplexity.ai in 2023; not on today's commercial products |
| Liu, Zhang and Liang, "Evaluating Verifiability in Generative Search Engines" (2023) | On average only 51.5% of generated sentences were fully supported by their citations, and 74.5% of citations supported their sentence | An early audit; engines have changed since, so treat the figures as a baseline, not a current measure |
| Chen et al., "Generative Engine Optimization: How to Dominate AI Search" (2025) | AI search engines showed a strong bias towards earned media, such as independent reviews and publications, over brand-owned and social content | Compared engines on selected query sets; results differ by vertical |
| Tow Center for Digital Journalism, "AI Search Has a Citation Problem" (March 2025) | Eight AI search tools collectively gave incorrect answers to more than 60% of queries asking them to identify a news article's source | Focused on news citations, not brand recommendations |
| Pew Research Center analysis of Google users (2025) | People clicked a result less often when an AI summary appeared | Based on browsing data from US adults in March 2025 |
The first paper is the one that coined the term. You can read the original GEO paper on arXiv, and the Tow Center's comparison of eight AI search engines is a useful counterweight to optimistic vendor claims.
Beyond papers, the search engines' own announcements and help pages are the best record of changes, such as new reports and controls. Industry studies from SEO data companies can be useful for scale, but check their method before quoting them.
How do you judge a GEO study or guide?
Most GEO content is published by companies selling tools or services. That does not make it wrong, but it means you should check:
- Method: which engines, which questions, how many runs, which country and dates.
- Sample: hundreds of prompts in one niche are not evidence about all industries.
- Measure: "mentioned", "cited" and "recommended" are different outcomes; check which one is reported.
- Correlation or cause: "pages with schema get cited more" may just mean well-maintained sites do both.
- Date: AI search changes quickly; a study from 18 months ago may describe different products.
- Interest: does the author sell the tactic being recommended?
- Replication: can you run a small version yourself and see a similar pattern?
Be especially sceptical of guaranteed results, "hidden prompt" tricks and statistics with no source. Research has shown that product visibility in language models can be manipulated with crafted text. Engines treat that kind of manipulation as spam, and it can harm a site.
How do you learn AEO basics with beginner guides, videos and first steps?
AEO, answer engine optimization, is mostly about being the clearest answer to a specific question. For the basics:
- Read Google's SEO Starter Guide and its generative AI features guide, then one or two independent beginner guides that cite their sources.
- Watch official channels first: Google Search Central on YouTube and its Search Off the Record podcast discuss how search works, including AI features. Use independent videos as demonstrations, and check their claims.
- Practise writing answer-first content: take five questions customers ask, answer each in the first two sentences, then add the detail.
- Test those questions in ChatGPT, Gemini, Perplexity, Copilot and Google's AI Mode, and note which sources each one cites.
The difference between AEO and GEO is mostly emphasis. AEO focuses on direct answers, GEO on being included and cited in generated answers across engines. The skills overlap almost entirely, as explained in what GEO means for AI visibility and citations.
What is a good 30-day first-steps plan?
| Week | Learn | Do |
|---|---|---|
| 1 | Google's generative AI guide; how crawlers and indexing work | Check robots.txt and CDN settings for AI crawlers; confirm key pages are indexed |
| 2 | How AI answers retrieve and cite; why answers vary | Write 20 questions customers ask; run each three times in two engines; record mentions and citations |
| 3 | Answer-first writing; original information | Rewrite two important pages so the first paragraph answers the question; add one fact only you can provide |
| 4 | Third-party sources and reviews | List the sources cited for your questions; fix wrong information about you on the ones you can influence |
At the end, rerun the same questions and compare. The difference, or lack of one, teaches you how slowly or quickly your engines respond.
How do you keep up as AI search changes?
Follow primary sources rather than summaries: the Google Search Central blog and Search Status Dashboard, the Bing Webmaster blog, OpenAI's ChatGPT release notes, and Perplexity's and Anthropic's announcements. When something changes, test it on your own questions before changing your strategy. A monthly rerun of a fixed question set shows real changes in your visibility better than any news feed.
What do people ask about learning GEO and AEO?
Do I need a paid course to learn GEO?
No. The official documentation, a few papers and your own tests cover the essentials. A course can add structure, but check that it cites sources and dates its claims.
Should I learn SEO before GEO?
Yes. Most AI search engines retrieve pages through search indexes, so crawling, indexing and content quality remain the foundation.
Are GEO certifications worth anything?
There is no industry-standard certification. Judge people by their method and results, not by certificates.
How long does it take to learn the basics?
A few weeks of reading and testing gives a working understanding. Real skill comes from months of measuring and improving visibility for an actual business.
Published by The Kovmere Team · updated Sep 28, 2026 · More resources