Google Says AEO and GEO Are Still SEO: What Its AI Optimization Guide Means

Last updated: 9 November 2026

What Google published

On 15 May 2026 Google announced a new resource on its Search Central blog: a guide to optimizing for generative AI features in Google Search. It was the first time Google put its long-standing conference message into official documentation: the work people call AEO or GEO is, for Google, still search engine optimization. The guide mentions AEO and GEO as terms “you may see used”, and treats them as part of SEO.

In November 2026 Google repeated a related point publicly, saying technical SEO remains important for AI search. The guide has become a reference point in a year when many vendors sell AI-specific shortcuts.

What the guide says you do not need

What the guide says does matter

1. Non-commodity content

Google says this is likely to influence your presence in generative AI search more than anything else in the guide over the long run. Non-commodity content is content that could not be produced by summarising what already exists: first-hand experience, original data, expert judgement and a real point of view. If an AI system can generate the same page from other sources, there is little reason for it to cite yours.

Examples of non-commodity content:

• A clinic explaining recovery timelines based on its own patients’ experience.
• A software company publishing anonymised usage data from its customers.
• An agency sharing a real before-and-after audit with method and limits.
• A retailer’s buying guide built from testing products, with photos and measurements.

See original research for AEO for practical formats.

2. Technical eligibility

Pages must be indexed and eligible to show in Google Search with a snippet. That means crawlable content, sound JavaScript handling, good page experience and low duplication. A page blocked from snippets cannot be shown in AI features. See our technical AEO checklist.

3. Business and product details

For local and ecommerce businesses, keeping Google Business Profile and Merchant Center feeds current helps. These are direct inputs Google already trusts. See AEO for local business and Google AI Mode direct checkout.

What the guide does not cover

The guide is honest about its scope: it explains Google’s own AI surfaces. It does not tell you how other AI engines choose sources. That gap is where much of answer engine optimization lives.

Also, generative engines in general have been found to favour independent third-party sources over brand-owned content in research on GEO. Your reputation on review sites, forums and publications matters across engines, even if Google’s guide focuses on your own pages. See brand mentions for AEO.

So is AEO just SEO?

For Google, mostly yes, and that is good news. Strong SEO foundations serve AI Overviews and AI Mode. But AEO as a practice includes things classic SEO programmes often skip:

• Measuring answers, not rankings. Tracking whether you are named and cited across AI engines. See AI share of voice.
• Managing non-Google crawlers. OAI-SearchBot, PerplexityBot, Claude-SearchBot and others. See AI crawlers list.
• Entity accuracy. Making sure AI systems describe your brand correctly. See entity SEO for AEO.
• Answer-first writing. Not chunking for machines, but putting clear answers where readers and systems can find them. See answer-first content.
• Off-site reputation in the sources AI engines cite.

We compare the terms in AEO vs SEO and GEO vs AEO.

Tactics the guide quietly retires

Several popular “AI SEO” tactics look weak in light of Google’s guide:

• Publishing an llms.txt and expecting results. Harmless, but not a ranking factor for Google.
• Splitting long guides into dozens of thin pages “for AI chunking”.
• Adding FAQ blocks to every page purely for AI, without real questions behind them.
• Mass-producing AI-written pages that summarise other sources. That is commodity content by definition.
• Buying mentions on low-quality sites to “train” AI.

How to apply the guide: a 30-day plan

1. Week 1: technical eligibility. Check indexing, snippet controls, JavaScript rendering and duplication on your most important pages.
2. Week 1: business data. Update Google Business Profile and Merchant Center so hours, products, prices and policies are current.
3. Week 2: commodity audit. For your ten most important pages, ask: could an AI write this from other websites? If yes, it needs original input.
4. Weeks 2 to 3: add first-hand value. Add your data, examples, photos, process details, expert quotes and clear opinions.
5. Week 3: clarity. Make headings match real questions and put direct answers near the top of sections, for readers first.
6. Week 4: other engines. Check OpenAI, Perplexity and Bing access, since Google’s guide does not cover them.
7. Week 4: measure. Set a baseline of AI visibility for your priority questions and review monthly.

What this means for businesses buying AEO services

Google’s guide is useful when you evaluate agencies and tools. Be cautious of anyone who:

• Sells llms.txt, special markup or “AI schema” as the main deliverable.
• Promises guaranteed AI placement.
• Recommends splitting content into many thin pages for AI.
• Offers to manufacture mentions or reviews.

Good AEO work looks like good SEO plus measurement across engines, entity accuracy and genuine reputation building. See how to choose an AEO agency.

A commodity content test you can run today

For each important page, score it against these questions. One point for each yes:

1. Does it include information from your own experience, data or work?
2. Does it name a real expert or author with relevant experience?
3. Does it give a clear opinion or recommendation, not just a list of options?
4. Does it include specific numbers, dates, examples or photos you produced?
5. Would a reader learn something they could not get from the top three search results?
6. Is it up to date, with a visible updated date?

Pages scoring two or less are likely commodity content. Improve them before writing new ones.

Turning commodity pages into original ones

The examples are illustrative. The point is to add what only you know.

What to tell your team or clients

Google’s guide is useful for cutting through hype. A simple summary to share internally:

• Good SEO is the foundation for Google’s AI features.
• No special AI files or markup are required for Google.
• Original, expert content is the biggest long-term lever.
• Other AI engines need their own access checks and measurement.
• No one can guarantee AI placement.

How Digital Tatva can help

Digital Tatva’s answer engine optimization service follows the same principles Google describes: technical eligibility, original content and accurate business data, then adds what Google’s guide does not cover: access and visibility across ChatGPT, Perplexity, Copilot and Claude, entity accuracy and monthly measurement. We never promise AI placement.

Frequently asked questions