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Generative Engine Optimization for Agencies: What Google’s Official Guide Changes (and What It Confirms)

Generative Engine Optimization for Agencies: What Google's Official Guide Changes (and What It Confirms)

Are you sick of hearing about GEO (Generative Engine Optimization) yet?

It’s been touted as the replacement for SEO, the future of search, and depending on which article you read, either the most important thing your agency needs to adopt right now or another overhyped term that will fade out in six months.

In August 2025, I published our first take on generative engine optimization for agencies and what it means for business development strategy (GEO Explained: What It Means for Your Business Development Strategy)

Since then, Google (finally) published its own official guide on optimizing for generative AI search, and it’s worth revisiting what I laid in light of what Google is now telling us directly.

Some of it confirms what we (and the broader SEO community) had been saying and some of it pushes back on tactics circulating as GEO best practices.

All of it’s useful for agencies trying to figure out what to implement for business development purposes.

So here’s the updated picture.

First: What Google’s Official Guide Says

Google released its AI optimization guide in May 2026, and the headline is pleasingly specific in this case:

SEO best practices continue to be relevant because generative AI features on Google Search are rooted in its core search ranking and quality systems.

In other words, Google isn’t treating GEO as a separate discipline.

From Google’s perspective, optimizing for generative AI search is optimizing for the search experience, and is still SEO.

So the good news for agencies, if you’ve been putting best practices in place for you site, you don’t need a drastic do-over.

The foundation you’ve built through good content, clean site architecture, and expertise is the same foundation that positions you in AI-generated results.

Google’s guide also spends time on what not to do, which is the important stuff.

What You Can Stop Worrying About

Several tactics have been floating around as essential GEO practice, but Google is direct that they’re not.

LLMS.txt files and special AI markup. You may have seen recommendations to create llms.txt files or add new machine-readable formatting specifically for AI crawlers.

Google says you don’t need to create new machine-readable files, AI text files, markup, or Markdown to appear in generative AI search.

“Chunking” your content. The idea that you need to break content into tiny, digestible pieces for AI to parse it seems to be conventional wisdom at this point.

Google’s guidance is there’s no requirement to break content into tiny pieces for AI to better understand it, as their systems are able to understand the nuance of multiple topics on a page.

So as always, write for your readers, not for a parser.

Rewriting content specifically for AI systems. You don’t need to write in a specific way for generative AI search.

AI systems can understand synonyms and general meanings of what someone is seeking, in order to connect them with content that might not use the same precise words.

You don’t need a separate AI content layer on top of your existing strategy.

Pursuing mentions and citations across the web. Brand mentions as a GEO signal are discussed a lot.

Google notes that seeking inauthentic mentions across the web isn’t as helpful as it might seem, as core ranking systems focus on high-quality content while other systems block spam.

Earned mentions from legitimate coverage and thought leadership still matter, so don’t manufacture them.

Overfocusing on structured data. Schema markup is still worth using for rich results eligibility, but structured data isn’t required for generative AI search, and there’s no special schema.org markup you need to add.

What Google Says You Should Do

Google’s guidance is fairly straightforward: if you’ve been creating solid, value-added content for a while, their recommendations will sound very familiar.

  1. Create non-commodity content. This is the clearest priority in the guide. Google’s AI systems look at a variety of sources, so having a unique viewpoint that stands out is helpful. A first-hand review provides a unique perspective based on personal experience, whereas a summary of existing content simply restates information already available elsewhere. For agencies, this means your POV pieces, case study breakdowns, and experience-backed takes are key content topics.
  2. Keep your technical foundation clean. To appear in generative AI features on Google Search, a page must be indexed and eligible to be shown in Google Search with a snippet, fulfilling the search technical requirements. Fast load times, crawlable pages, no duplicate content issues, and proper canonical tags are still mandatory.
  3. Images and video earn real estate. Generative AI search features can bring in relevant images and video, which means more opportunities for a website to appear beyond page links. If you’re publishing thought leadership without supporting visuals, consider adding them.
  4. Write for people, organize for people. Google recommends organizing content with paragraphs, sections, and headings that provide a clear structure to navigate, writing for a human audience and making sure content is well written and easy to follow. The conversational, structured approach that works for readers also works for AI, not the other way around.
  5. AI agents are an emerging consideration. This is newer territory. AI agents are autonomous systems that can perform tasks on behalf of people, and browser agents may access your website to gather data they need to complete tasks, such as analyzing visual renderings, inspecting the DOM structure, and interpreting the accessibility tree. Semantic HTML and good accessibility practices are becoming relevant beyond screen reader compliance.

Generative Engine Optimization for Agencies: What Google's Official Guide Changes (and What It Confirms)

What This Means for Your Agency’s Business Development Strategy

Google’s guide is written broadly, so I want to narrow the focus down to what it means for your agency and your pipeline.

Your thought leadership content is your GEO strategy. If you’ve been consistently publishing original perspectives on your agency’s area of expertise, you’re already positioned better than most firms. Continue to make sure that content is built on real experience and results, not recycled. Google’s systems are apparently getting increasingly better at distinguishing the two.

Audit what you own, not just what you publish. Take a look at your website through the lens of someone who has never heard of your firm and is asking an AI to recommend agencies in your specialty. Would your content accurately represent what you do and who you do it for? Make sure the expertise your team has is visible and clearly articulated online. Run a few queries in ChatGPT or Perplexity about your niche and see what comes up.

Original case studies and POV pieces outperform topic volume. The temptation in content marketing is to cover every angle of a topic to capture more search queries. Google is explicitly warning against this approach for AI search. A high quantity of pages doesn’t make a website higher quality or more relevant to users, and Google’s AI systems have improved their ability to understand the relevance of pages. One well-developed case study that shows how you solved a specific problem for a specific client type will do more for you than ten thin posts covering adjacent keywords.

Bring this into client conversations. If your agency handles SEO, content strategy, or digital for clients (or even if it doesn’t), Google’s guide is a great way to add value to your clients’ world. It provide further credibility and a way to explain AI search visibility in a way that’s grounded in something official.

Track your AI search visibility, but set reasonable expectations. Knowing whether and how your content shows up in AI-generated results still requires manual spot-checking across tools like Claude, ChatGPT, Perplexity, and Google’s AI Mode.

Consistent, periodic queries around your agency’s specialty and differentiators will tell you more than any single tool at the moment.

This will inevitably change, but currently human review is the most reliable method.

Don’t let the acronyms distract you (or your clients). Whether it’s currently going by GEO, AEO, or just SEO in an AI era, the work is largely the same. Clean site, original expertise, well-organized content, and consistent publishing.

The agencies showing up in AI-generated recommendations are the ones that have built a body of work around what they’re expert in and where they have the right to win.

Final Thought

It’s helpful to finally hear from Google on how they handle this.  (At least for this month).

It confirms what we (RSW/US) have built for years: helpful, specific, expertise-driven content, which thankfully is the right long-term play regardless of how the search landscape changes.

For agencies thinking about how to position themselves in a market where prospects are increasingly using AI tools to research and shortlist firms before ever making contact, the question isn’t how to game AI search, but whether the expertise your firm has is visible, specific, and clearly yours.

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