SEO, AEO, and GEO: What Google Actually Recommends for AI Search
Before investing in another AI visibility tool or optimization package, understand what Google actually recommends. Its guidance for AI search builds on the SEO practices businesses should already be following.
SEO, AEO, GEO, AIO—the terminology keeps expanding. For marketing leaders deciding where to invest, the practical question is whether these services deliver meaningful improvements or simply put a new label on existing work.
Google’s published guidance offers a useful starting point: established SEO practices remain relevant to AI Overviews and AI Mode. A separate AI optimization product is not a prerequisite for appearing.
Google’s position is clear
“There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.”
Source: Google Search Central: AI features and your website.
What do SEO, AEO, and GEO mean?
SEO means search engine optimization. AEO, or answer engine optimization, and GEO, or generative engine optimization, describe work focused on visibility in answer-based and generative search experiences.
You may also encounter AIO. Ask the provider to define it, since the abbreviation can refer to AI optimization or AI Overviews depending on the context.
The label tells you less than the deliverables. A proposal might include useful technical fixes, content research, or measurement. It might also recommend changes without evidence that they help.
Does Google require a separate AI SEO strategy?
Google’s generative AI optimization guide explains that its AI search experiences rely on core Search ranking and quality systems. From Google’s perspective, improving visibility in these experiences remains part of SEO.
That supports a coordinated search strategy. It does not mean your existing website has everything it needs, or that following best practices guarantees inclusion.
It also matters which platform a proposal targets. Guidance for Google Search should not be presented as a universal explanation of how every AI assistant discovers, retrieves, or recommends information.
Which AI optimization claims should you question?
| The claim | Google’s guidance | What to ask |
|---|---|---|
| You need an llms.txt file to appear. | Google Search does not use this file to improve visibility or rankings. | Which specific service uses it, and what benefit are you proposing? |
| You need special AI schema. | No special schema.org markup is required for generative AI search. | Which supported search feature will this markup help qualify for? |
| Every page must be split into tiny answer blocks. | Google does not require content “chunking” or an ideal page length. | Does the proposed structure make the page more useful to readers? |
| The tool guarantees AI rankings. | Third-party tools cannot guarantee performance or access Google’s internal ranking data. | What does the tool actually measure, and what are its limitations? |
Compare recommendations with Google’s AI optimization guidance and its guidance on third-party tools and advice.
Where should your organization focus instead?
Make important pages accessible to search
Google’s technical requirements include allowing Googlebot access, serving working pages, and providing indexable content. Meeting those requirements establishes eligibility; indexing is not guaranteed.
Our recommendation: review the pages that support your business priorities first. Check whether your key services, capabilities, and resources can be discovered and understood before funding additional content production.
Publish information your organization is qualified to provide
Google’s people-first content guidance emphasizes originality, usefulness, and evidence of expertise.
For a business website, we recommend making that expertise concrete:
- Explain how you solve a specific customer problem.
- Show relevant project experience, including constraints and decisions.
- Answer the questions your sales and support teams hear repeatedly.
- Describe implementation requirements, limitations, and tradeoffs.
A detailed explanation from your specialists gives prospective customers something useful to evaluate. A generic summary of information already available elsewhere adds much less to that decision.
Help visitors use what they find
Google’s guidance for AI search experiences also emphasizes page experience, relevant images and video, and accurate business information.
Our web design approach connects discovery with the next step: understanding your offering, evaluating your experience, and contacting the right team. Visibility creates an opportunity; the website still needs to help someone act.
Can AI tools still be useful?
Yes. The important question is whether a tool improves a defined task enough to justify its cost.
We recommend evaluating tools against specific needs, such as organizing research, identifying technical issues, or monitoring a defined set of search experiences. Ask how the data is collected and what decisions it can reasonably support.
A visibility score is a measurement to investigate. Ask which platforms, queries, locations, and dates it covers before treating it as evidence of business performance.
Content-generation tools require the same scrutiny. Google warns that generating many pages without adding value may violate its guidance on AI-generated content. Human review, accuracy, and a clear purpose for each page remain essential.
Ask for the work behind the acronym
Before approving an SEO, AEO, or GEO engagement, ask:
- Which audience and business outcome are we targeting?
- Which platforms does the work address?
- What will change on our website or elsewhere?
- Which recommendations follow official guidance, and which are experiments?
- How will we evaluate results, including qualified inquiries and sales opportunities?
At Colorado Digital, our digital marketing analysis and strategy starts with business goals, audience needs, and website performance. That gives us a basis for prioritizing improvements as search evolves.
Make your next search investment an informed one
We can help evaluate your website, review proposed AI search recommendations, and identify practical improvements tied to your goals.
Google guidance reviewed October 21, 2026. This article addresses Google Search’s AI features. Other platforms may have different requirements and behavior.
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