Google put out a guide on optimizing for its generative AI features, and the message caught a lot of people off guard. There is no secret AI SEO. AI Overviews and AI Mode run on the same ranking and quality systems that already decide who ranks in normal Search. So the work that earns you a normal listing is the same work that makes you eligible to be cited in an AI answer. That is good news if you have been doing the fundamentals, and a wake-up call if you have been chasing hacks. This post rewrites Google's guide to optimizing for generative AI features in plain English, then splits it four ways so you can act on it whether you run an agency, a one-person shop, a growing team, or a company with many locations.
The plain-English version
Google's own words, boiled down: there are no special requirements and no special optimizations to appear in AI Overviews or AI Mode. These features are built on top of Google's core Search systems, so the content that ranks is the content that gets pulled into AI answers. You do not need a new file, a new markup type, or a rewrite aimed at machines. You need content people want, structured so it is easy to read, on a site that is fast and crawlable.
If you take one line away, take this one: the best way to show up in Google's AI features is to be genuinely useful and technically sound, the same as it has always been. Everything below is detail on what "useful" and "technically sound" mean, and what Google explicitly tells you to stop doing.
How the AI features actually work
You do not need to know the internals to benefit, but two ideas explain why the fundamentals matter so much. Google grounds its AI answers in real, indexed web content instead of making things up from memory. The technique is retrieval-augmented generation, usually shortened to RAG: the system retrieves relevant pages from the index, then writes an answer based on what those pages say. If your page is not in the index, or is not relevant and clear, it cannot be retrieved, and it cannot be cited.
The second idea is query fan-out. Instead of running one search, the AI features issue several related searches behind a single question, then assemble a diverse set of supporting pages into one answer. That means a narrow, deep page that nails one specific sub-question can get pulled in even when a broader page wins the main query. Coverage and specificity both help. If you want the mechanics of what makes a page eligible to be cited, we go deeper in how pages get cited in Google AI search.
- RAG means answers are grounded in indexed pages, so being indexed and relevant is the price of entry.
- Query fan-out means one question triggers several searches, so specific pages that answer a sub-question can surface even against broad competitors.
- Neither mechanism rewards tricks. Both reward clear, indexable content that directly answers a real question.
What to do (the fundamentals, done well)
Google's guidance splits into two buckets: make content worth citing, and make your site easy for a machine to read. Here is the content half.
Create content only you could write
- Write unique, non-commodity content. Recycled common knowledge that a hundred other pages already cover gives an AI system no reason to pick you over them.
- Bring genuine expertise and a point of view. First-hand experience, real numbers, an actual opinion. This is the experience and trust half of what Google rewards, which we unpack in E-E-A-T in the AI era.
- Satisfy the visitor, not a tactic. If the page answers the question a person came with, you are aligned with what the AI features are trying to do.
- Support the words with relevant images and video where they help understanding, not as filler.
Make it readable and well structured
- Use clear structure and real headings so both people and machines can find the part that answers a given question.
- Keep answers self-contained. A section that can be understood on its own is a section that can be quoted on its own.
- Front-load the answer, then support it. AI systems reach for the passage that resolves the query fastest.
Meet the technical requirements
- Make sure pages are crawlable and indexable. If Google cannot fetch and index a page, it cannot be retrieved for an AI answer, full stop.
- Use semantic HTML so the meaning of your content is legible without guessing.
- Follow JavaScript SEO best practices if your site is JS-heavy, so content is not hidden behind rendering that crawlers miss.
- Deliver a good page experience across devices, mobile included.
- Minimize duplicate content so your best version is the one that gets indexed and surfaced.
If any of this feels like a lot, start with the base layer. We wrote the checklist version in SEO foundations that make you eligible for Google AI search. Get crawlable, indexable, fast, and structured first. The content quality work compounds on top of a site that machines can actually read.
What NOT to do (Google says these do not help)
This is the part that saves you money and time. Google is unusually direct here: several popular AI-SEO tactics do nothing. Doing them is wasted effort at best, and a distraction from the work that matters at worst.
- Do not create an llms.txt file or other special AI markup files. Google does not use them to decide what appears in AI features.
- Do not chunk your content into tiny fragments for machines. Write for humans in normal, readable sections.
- Do not rewrite your content specifically for AI systems. Google states plainly that you do not need to write in a special way for generative AI search.
- Do not pursue inauthentic mentions or manufactured citations. Fake signals are still spam.
- Do not add special schema.org structured data just for AI. Use structured data for the reasons it always existed, not as an AI cheat code.
The one place AI does belong in your process is drafting help, and even there the rules are the same as always: the output has to be genuinely useful and it has to be true. If you use AI to help write, do it without tripping the spam policies. We cover the line to stay on in using AI to write content without tripping Google spam policies. And when you want the eight concrete moves that do help, see eight ways to make your content perform in Google AI search.
What is coming: agentic experiences
Google flags one thing on the horizon worth planning for. Agentic experiences are AI systems that act on a user's behalf: making a reservation, comparing options, completing a task rather than just answering a question. The way you position for that future is not a new tactic. It is the same foundation. A fast, well-structured, crawlable site is what lets an agent read your offering, understand it, and act on it. If your prices, hours, and inventory are current and machine-legible today, you are ready for the agent that reads them tomorrow.
What this means for you, by business type
The guidance above is universal. What changes is how you deliver it given your size, your team, and your risk tolerance. Here is the same play, retold four ways.
If you run an agency
Your advantage is that this guidance is already how good SEO works, so you do not need a new discipline. You need a productized version of it you can sell, deliver, and maintain across a whole client book. Package it as a clear scope: a crawlability and indexability audit, a content-quality pass that adds real expertise and a point of view, a structure and headings cleanup, and feed hygiene for any client with products or locations. Sell the outcome, being eligible for citation in AI answers, not the mechanics. Clients who run professional services firms feel this acutely, and we built the audience framing for them at professional services.
The risk to manage at scale is the spam policy. Google says do not pursue inauthentic mentions or AI-only rewrites, and at agency volume it is tempting to templatize your way into exactly that. Do not. Keep every client's content genuinely theirs. Standardize the process and the checklists, not the words. This is where a platform earns its keep: Elevi runs the repeatable parts, crawl checks, structure audits, feed monitoring, across the whole book so your people spend their time on the judgment and the expertise that cannot be templatized. Explore how we structure the delivery in our solutions, and lean on answer engine optimization as the strategy spine you sell against.
If you are a micro business
You do not have a marketing team, so you need the single highest-impact move, and you need to be able to do it yourself. Here it is: keep your Google Business Profile complete and current, and make sure your website is crawlable and says clearly what you do, where, and for whom. That is it for the base layer. Those two things are what let AI answers about your kind of business, in your area, surface you at all.
After that, the highest-value content work is writing down the answers only you know. The questions customers actually ask you on the phone, in your own words, with your own experience. One honest, specific page beats ten generic ones, because generic is exactly what an AI system has no reason to cite. You do not need special files or markup, Google says so, so ignore anyone selling you an AI SEO gadget. Just be findable and be specific. If you want a plain path sized for an owner-operator with no team to hand this to, start at our page for micro businesses. It is written for someone doing the work themselves between jobs, not for a marketing department.
If you are an SME
You are past the point where one person can hold everything, but not yet running formal governance. The move that fits is a repeatable content routine with a clear owner. Pick one person to own SEO and AI visibility, even if it is a slice of their week, not a full role. Give them a monthly rhythm: publish one genuinely expert piece, fix any crawl or index issues Search Console surfaces, and check that your Business Profile and any product feeds are current. Consistency beats intensity here. A steady drip of specific, well-structured content is exactly what query fan-out rewards.
The part SMEs skip and should not is measurement. You cannot manage what you do not watch, so learn to read your AI-search visibility in Google Search Console, which we walk through in measuring AI search visibility. Watch which pages earn impressions from AI-driven queries and double down on what works. The routine plus the owner plus the measurement is a system you can run without a big team. Our sizing and the offer that fits it live at our page for small businesses. If you are closer to the top of this band and starting to add locations or product lines, the next rung up at mid-size is where the governance in the next section starts to matter.
If you are a mid-size company
Your problem is not knowing what to do. It is doing it consistently across many teams, locations, and pages without brand drift or a compliance incident. So govern it. Set one standard for content quality and structure, publish it, and make it the definition of done for every team that ships a page. Centralize the technical fundamentals, crawlability, semantic HTML, page experience, duplicate-content controls, so a hundred contributors cannot each reinvent them badly. For multi-location businesses, feed and profile hygiene is a governance job, not a side task: a stale hour or price at one location is a wrong answer an AI system will confidently repeat.
Build in the risk controls Google's don't-do list implies. No team should be shipping AI-only rewrites, manufactured mentions, or special AI files, and at your scale that means a review gate, not a hope. Make the spam policy part of your content standard so an eager team cannot quietly cross the line. The upside of governing well is that when agentic experiences arrive, your fast, structured, current site is already positioned for them across every location at once. Our framing for companies operating at this scale is at our page for large companies, and if you span many brands or business units, enterprise is the bracket built for that multi-brand governance problem.
Common questions
Do I need an llms.txt file to show up in AI Overviews?
No. Google explicitly says it does not use llms.txt or other special AI markup files to decide what appears in its AI features. Creating one does nothing for your visibility. Spend the time on crawlability and content quality instead.
Is there a special way to write content for Google's AI?
No. Google states you do not need to write in a special way for generative AI search. Do not chunk content into tiny fragments and do not rewrite pages for machines. Write clear, well-structured content for people, and the AI features read the same pages that normal Search does.
Should I add extra schema markup just for AI?
No. Google says do not add special schema.org structured data just for AI. Use structured data for the reasons it has always been useful, like eligibility for rich results, not as an AI trick. There is no AI-only schema that earns you citations.
How do products and local businesses show up in AI answers?
Keep your Google Merchant Center feed and your Google Business Profile current. That is how accurate prices, availability, hours, and location details can surface inside AI answers about what to buy or where to go. Stale data means stale or missing answers at the moment a buyer is deciding.
The honest headline is that showing up in Google's AI features is not a new game. It is the fundamentals, done well, on a site machines can read. If you want to know where you stand and what to fix first, run the estimator for a plain read on your site, or talk to us and we will point you at the highest-impact move for your size. Not sure which bracket you are in? Find yourself on the who-we-serve pages and start from the version written for a team like yours.
