SEO, AEO and GEO in 2026: a practical guide

SEO, AEO and GEO are three layers of one organic strategy, not three competing ones: SEO gets a page found, AEO gets its answer extracted, and GEO gets the brand cited inside AI conversations. We have written a detailed post on each part of this. This guide ties them together: the short version of each layer, three popular claims checked against the vendors' own documentation, and a reading order by goal.

The three layers, in one paragraph each

SEO is ranking well in traditional search results through technical health, relevant content and authority. It is still the foundation: if a page is not crawlable and reasonably ranked, nothing below it matters.

AEO (answer engine optimization) targets the direct-answer surfaces, such as featured snippets and AI Overviews, that show a concise answer without a click. The page that gets extracted states its answer plainly near the top and supports it underneath.

GEO (generative engine optimization) is about being cited or recommended by conversational systems such as ChatGPT, Perplexity and Claude. It rewards substance and credibility that a retrieval system can find, including mentions of your brand elsewhere on the web. The full comparison is in SEO vs. AEO vs. GEO.

Three claims worth checking before you spend time on them

A lot of advice in this area is repeated without a source. These three come up constantly, and each is checked against what the vendors themselves publish:

• "You need a special file or markup for AI Overviews." Google's own documentation says you don't need new machine-readable files, AI text files or markup to appear in its AI features, and that no special schema.org structured data is required. Details in 3 schema myths for AEO.
• "llms.txt improves AI citations." We found no statement from OpenAI, Anthropic or Perplexity that their crawlers read it, and Google's John Mueller said in June 2025 that no AI system currently uses it. It can still be worth an hour for documentation and developer sites. Details in Does anyone actually read llms.txt in 2026?
• "If a crawler visited, we were cited." A visit in your server logs shows a page was fetched, not that it was used in an answer. Google's Search Console now has a Generative AI performance report showing impressions in AI Overviews and AI Mode, though not clicks. Details in How to measure AI answer engine citations.

Reading order, by goal

Each post below stands on its own. The groups follow the order we would work through them.

Start here: the concepts

• SEO vs. AEO vs. GEO: what's actually different, and why you need all three: the full comparison behind the three layers.
• Will generative AI actually replace traditional search traffic?: what is and is not changing in how people search.
• How is AI changing the future of digital marketing and SEO?: the effect on both the work and on how customers find businesses.
• SEO in 2026: what changed, where AI actually helps, and the free tools to use: what AI Overviews and AI Mode changed, and where AI genuinely helps.

Write content that gets extracted (AEO)

• Answer-first content for AI search, explained: putting the direct answer in the opening lines.
• How to structure content so AI can actually extract it: headings, questions and layout that extract cleanly.
• SERP snippets and AI answer previews, explained: why title and description length matter in both.

Set up the technical layer

• AI crawlers and robots.txt, explained: training, search-index and on-demand crawlers, and how to control each.
• Does client-side JavaScript hurt your AI search visibility?: whether content added by JavaScript is visible to AI crawlers.
• Schema markup for AEO: what actually matters, and how to implement it right: the schema types that do the real work.
• JSON-LD schema examples for FAQ, Article, Organization and HowTo: copy-ready examples.
• 3 schema myths for AEO, checked against Google's own docs: Product schema, sameAs and the idea of an AI-only schema type.
• What is llms.txt, and should you create one?: the format, and when it is worth publishing.
• Does anyone actually read llms.txt in 2026?: what OpenAI, Anthropic, Perplexity and Google document.

Earn citations (GEO)

• How LLMs actually decide what to cite, and what it means for your content: retrieval, not traditional ranking.
• How to get your brand cited by ChatGPT and Perplexity: the practices that improve your odds.
• Why unlinked brand mentions matter for GEO, even without a single click: off-site signals.

Measure it

• How to measure AI answer engine citations: Search Console's new AI report, log analysis, and what neither can tell you.

Free tools that match each step

These run in your browser, with no upload and no account:

• AI crawler robots.txt generator: decide, per crawler, what to allow.
• Answer-first content checker: check whether a page opens with its answer.
• SERP and AI snippet preview: preview and length-check the title and description.
• Schema (JSON-LD) generator: build valid structured data.
• llms.txt generator: build the file if you decide to publish one.

A sensible order of work

1. Make sure crawlers can reach the page. Check your robots.txt rules, and that the content is in the HTML rather than added only by JavaScript.
2. Rewrite your most important pages answer-first. Put the direct answer in the opening lines and support it underneath.
3. Add schema that matches what is visible on the page, and validate it.
4. Build credibility off your own site. Accurate mentions, reviews and coverage elsewhere shape how AI systems describe you, even without a link.
5. Measure with what exists. Use Search Console's AI report and your server logs, and treat both as directional rather than as an exact citation count.

How we approach this

We build organic strategy around all three layers together: technical SEO health as the foundation, content structured for direct-answer extraction, and genuine substance that earns citation in generative engines. None of them replaces the others, and we are careful to say, as in the posts above, where a claim is documented by the vendor and where it is not.

Sources: Google's AI features documentation, Google Search Console Help on the Generative AI performance report, Search Engine Journal on John Mueller's June 2025 statement.