Search "seo content" on Google right now and most of what ranks is years-old advice dressed up with a new headline: write good titles, use keywords, add internal links. Little of it mentions that Google has published two rounds of fresh guidance since then, one on AI-generated content and one on how pages get used inside AI Overviews and AI Mode. This guide works from that documentation directly.
SEO content is writing made to answer a search query well enough to rank in Google and get picked up in AI answers. It needs two things at once: real usefulness for the person reading it, and a technical structure, like crawlable links and clear headings, that lets Google and AI systems find it.
Prerequisites
- A verified property in Search Console, so you can check whether a page is indexed once it's live, and later see how it performs inside generative AI features.
- Edit access to the page itself, or to the CMS it lives in.
- One real search query to write for, plus a sense of who already searches for it and what they already know.
- A few weeks of patience after publishing: Google says some changes show up within hours and others take months, and recommends waiting a few weeks before judging whether a change worked.
Step 1: Start from a real search term, not a word count
Picture the specific person typing a query into Google before you write a word. Google's own SEO guide points out that different readers describe the same thing differently: someone who already knows a topic might search "charcuterie," while someone new to it searches "cheese board." Write with that gap in mind. You don't need to chase every possible phrasing, though: Google's language-matching systems are sophisticated enough to connect a page to a query even without an exact word match.
Rule out one thing early. Google has said directly that it has no preferred word count, so if the plan is to hit 1,500 or 2,000 words because that number showed up somewhere, drop it. Length should follow from how much the topic actually needs, not from a target.
Step 2: Write SEO content only you could write
Google's guide to optimizing for generative AI features draws a line between two kinds of content. A first-hand account, built on real experience, counts as a unique point of view. A summary of what's already out there, or something a generative AI model could produce just as easily, does not.
The guide calls the throwaway version commodity content. Its example is "7 Tips for First-Time Homebuyers": built from common knowledge that could have come from anyone. The alternative is non-commodity content, and its example is "Why We Waived the Inspection & Saved Money: A Look Inside the Sewer Line": a specific, lived account that goes past what's already common knowledge.
This is the headline point in that guide: unique, non-commodity content will likely influence a site's presence in generative AI search more than any of its other recommendations. Before writing, ask what you actually know about this topic that a generic summary could not already tell the reader. If the honest answer is nothing, that's worth knowing before publishing, not after.
Step 3: Check it against Google's own quality signals
Google groups the signals its ranking systems look for into four qualities: experience, expertise, authoritativeness, and trustworthiness, together known as E-E-A-T. Of the four, trust matters most; the other three feed into it rather than standing on their own. None of this is a single switch to flip. It describes what Google's systems are trying to reward when they rank helpful, reliable, people-first content above everything else.
Google's quality raters, the people who check whether its ranking systems are working well, are trained to weigh a page's main content against four attributes: effort (did a person do real work, or was this generated from a feed with no review), originality (does it say something not already sitting elsewhere), talent or skill (is it produced well, whatever that means for the topic), and accuracy (are the facts right, with a stricter bar for anything touching health, money, or safety).
A fast way to self-check a draft: imagine whether you'd bookmark it, send it to a friend, or expect to find it referenced in a printed encyclopedia. Google lists this kind of question as part of its own self-assessment for creators. Google's page on this carries a last-updated date of 5 October 2026, so this is current guidance, not an old post still circulating.
Step 4: Show who wrote it and how
Google frames this as three questions: who, how, and why.
Who covers authorship. Add an accurate byline where a reader would expect one, and link it to real information about the author. Google calls fabricated author profiles a form of deception, including invented names, false credentials, or an AI-generated headshot standing in for a real person, and says deception of this kind makes a page untrustworthy to both readers and its automated systems.
How covers process. If AI or other automation helped produce a page, a short disclosure is useful wherever a reader might reasonably wonder how it was made. Google's FAQ on AI content makes the underlying point directly: using AI doesn't give a page any special advantage or any special penalty. A page that's useful, original, and backed by real expertise can do well whether or not AI helped write it. A page that isn't won't, no matter what produced it.
Why is the one Google calls most important. Content made primarily to help the people who'd come to a site anyway is what its ranking systems are built to reward. Content made primarily to attract search traffic, especially automated content made at scale for that purpose, is a violation of Google's spam policies.
Step 5: Structure the page for people and for crawlers
Break the page into paragraphs and sections, with headings that describe what's actually in them. Google's starter guide lists this among the plain, common traits of content that performs well: easy to read, well organized, free of spelling and grammar mistakes. The main heading and title should summarize the page honestly, without exaggerating to get a click. A separate guide on this blog covers how to write the title itself.
Link out when a link adds real context, and write anchor text that tells a reader what's on the other end, never "click here." If a link points somewhere not fully trusted, or if the CMS accepts comments that include links, add a nofollow annotation so the site isn't read as vouching for whatever is on the other end.
Keep duplicate content down to one URL per piece of information. The same content living at two URLs isn't against Google's spam policies, but it's a worse experience for whoever lands on the "wrong" one, and it spends crawl budget Google could otherwise use on pages that matter more. A canonical tag or a redirect to a single preferred URL fixes this. SEOAgent's site audit checks each page for a canonical tag and indexability, then checks the whole site for duplicate titles, duplicate descriptions, and orphan pages in the same crawl.
Step 6: Publish, then check what actually happened
A page has to clear the baseline Google calls its Search Essentials before any writing advice matters. To be eligible for generative AI features specifically, Google's guide adds that a page must be indexed and eligible to show in Google Search with a snippet, and that the site needs to be included in Search generative AI features inside Search Console. Use the URL Inspection Tool in Search Console to check how Google currently sees a given page.
Once there's data to look at, the Generative AI performance report in Search Console shows how a page is doing specifically inside generative AI features on Search and Discover, alongside whatever is already being tracked for ordinary results. SEOAgent's rank tracking keeps a position chart over time for chosen queries, so a query like the one this page targets can be watched the same way.
Common mistakes
- Building a page for every variation of a query, or for the fan-out queries an AI system generates around a topic, mainly to try to influence rankings or AI answers. Google names this a violation of its scaled content abuse spam policy, and says a high volume of pages doesn't make a site more relevant on its own.
- Producing content across many unrelated topics hoping some of it ranks, or relying on heavy automation without anyone reviewing what gets published. Google's quality raters are trained to read this as low effort, which counts against a page even when nothing else is wrong with it.
- Mainly summarizing what other sites already say, without adding a fact, an experience, or an analysis that wasn't already available somewhere else.
- Changing a publish date, or swapping out a chunk of a page, mainly to look fresh to Google when nothing about the content actually changed. Google says this doesn't help rankings.
- Promising an answer that doesn't exist yet, such as a release date for a product that hasn't actually been confirmed.
- Faking authorship: an invented name, false credentials, or an AI-generated headshot standing in for a real person. Google treats this as deception that makes a page untrustworthy to readers and to its ranking systems alike.
What's new (as of 2026-10-12)
Google's guide to optimizing for generative AI features is also where it rules out a few popular "AI SEO" tactics directly:
- No llms.txt file is needed. Google says it doesn't use one, and creating special machine-readable files or markup just for AI systems isn't necessary to appear in Google Search or its generative AI features.
- No "chunking" is needed. Google says its systems can already read the nuance of multiple topics on one page and surface the relevant part to a user, so breaking content into small pieces for AI's benefit isn't required.
- No rewriting content just for AI is needed. Google says its systems understand synonyms and general meaning well enough that pages don't need to capture every long-tail phrasing of a query.
The same guide is where Google states plainly that unique, non-commodity content will likely matter more for showing up in generative AI search than any of its other suggestions, and where it names scaled, low-value pages built around query variations as a spam violation rather than a gray area. Both points are reflected in the steps above, and both come from Google's guide to optimizing for generative AI features on Search.
Once a page is live and holding a reasonable position, the next question is usually how to get it cited specifically inside AI Mode, which a separate guide on this blog covers in detail.
Key takeaways
- SEO content has to do two jobs at once: be genuinely useful to the person who searched for it, and be technically easy for Google and AI systems to crawl, index, and cite.
- Google's guide to generative AI features says unique, non-commodity content, writing based on first-hand experience rather than a summary, will likely matter more for generative AI visibility than any other single suggestion it makes.
- Building many near-duplicate pages around query variations or AI fan-out queries to influence rankings or AI answers violates Google's scaled content abuse spam policy.
- Google has stated it doesn't use llms.txt files, doesn't require content to be "chunked," and doesn't require rewriting content specifically for AI systems.
- E-E-A-T, trust most of all, isn't a single ranking factor. It's Google's description of the signals its systems use to judge whether content is genuinely helpful and reliable.
FAQ
What is SEO content?
SEO content is writing or media created to answer a specific search query clearly enough that Google's ranking systems, and its generative AI features, both consider it worth showing. The same page has to satisfy two audiences at once: a human reader who wants a real answer, and Google's crawling and indexing systems, which need the page to be technically reachable before the quality of the writing can matter at all.
Does AI-generated content rank in Google Search?
Yes, if it meets the same bar as anything else. Google has said directly that using AI doesn't give a page any special advantage, and it doesn't give it any special penalty either: a page produced with AI help is judged on whether it's useful, original, and backed by real expertise, the same as a page written without any automation at all. Content built mainly to manipulate rankings through automation, whether AI-assisted or not, violates Google's spam policies regardless of which tool was used to produce it.
Is there an ideal word count for SEO content?
No. Google has stated plainly that it has no preferred word count, so a page written to hit a round number like 1,500 or 2,000 words for its own sake is a warning sign rather than a ranking strategy. Length should come from how much a topic genuinely needs covered, which can mean a short page is the right call for a simple query and a long one is right for a complicated topic.
What is non-commodity content?
Non-commodity content is writing based on first-hand experience or a specific point of view that goes beyond what's already common knowledge. Google's own example of the opposite, commodity content, is a generic post like "7 Tips for First-Time Homebuyers," built from information that could have come from anyone; its example of non-commodity content describes waiving a home inspection and what that specifically revealed about a sewer line, something only the person who did it could have written.
Do I need an llms.txt file to show up in AI search results?
No. Google has said directly that it doesn't use llms.txt files or any other special markup created just for AI systems, so creating one isn't necessary to appear in Google Search or its generative AI features. The same guidance covers breaking content into small chunks for AI or rewriting pages in a different style specifically for AI systems: none of it is required, because Google's systems already handle synonyms, context, and multi-topic pages without that extra work.