Generative engine optimization, and the search it grew from
Be the answer AI engines cite
Each guide answers one question in its first paragraph and names the documentation it rests on: the way an answer engine reads a page, quotes it and cites it. Ask the guides below.
- 186 guides
- 654 sources cited
- 1,201 links between guides
Every guide, newest first
Page 8 of 8.
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Question
Author Pages and Bylines: Building Author Authority
Bylines and author pages tell readers who wrote a page and why they're qualified to, and Google's guidance treats that as part of trust. Its helpful content guide asks: "Is it self-evident to your visitors who authored your content?" and "Do pages carry a byline, where one might be expected?" Author authority isn't a score you add with markup; it's real people with checkable experience, named consistently on the page, on an author page and in structured data.
1developers.google.com
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Attribution Modeling for SEO: Understanding Conversion Paths
Attribution modeling decides how credit for a conversion is split among the channels a person used on the way to it, and it changes how organic search looks. In GA4 the choice is narrower than older guides describe: its attribution help says "There are 3 attribution models available in the Attribution reports": data-driven, paid and organic last click, and Google paid channels last click. The first click, linear, time decay and position-based models were removed in November 2023. For SEO, that means reading organic search's role mainly through data-driven credit and the Attribution paths report, and naming the model whenever you report organic results.
1support.google.com
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Article Schema: Implementation for Blogs and News Sites
Article structured data tells Google what an article is: its headline, images, dates and authors. Google's Article documentation is explicit about two things that older guides get wrong: "There are no required properties; instead, add the properties that apply to your content", and "there's no markup requirement to be eligible for Google News features like Top stories". Article markup helps Google understand and present the page; it isn't a key to a feature. Use Article, BlogPosting or NewsArticle, fill the recommended properties accurately, and make them match what readers see.
1developers.google.com
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Answer Engine Optimization (AEO): Optimizing for AI Answers
Answer engine optimization (AEO) is a practitioner term for making content easy for answer-producing systems to use: Google's AI Overviews and AI Mode, featured snippets, ChatGPT search and similar assistants. For Google, it isn't a separate discipline. Google's guide to generative AI features says that "optimizing for generative AI search is optimizing for the search experience, and thus still SEO", and asks site owners considering third-party "AEO" or "GEO" advice to review its guidance on evaluating SEO advice. The useful part of AEO is writing that answers a question clearly where the question is asked; the rest is checking advice against what the platforms document.
1developers.google.com
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Anchor Text Optimization: Managing Your Link Profile
Anchor text is the clickable text of a link, and Google's link documentation says it "tells people and Google something about the page you're linking to." On links from other sites, you don't choose it, and Google's link and spam documentation gives no safe percentage for any anchor type. What Google does name is the risk: anchors optimized with keywords in links you placed, paid for or arranged. Managing your link profile means reading the anchors you have, earning links that describe you in their writers' own words, and fixing only the patterns that come from manipulation.
1developers.google.com 2support.google.com
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AI Overviews: Measuring Impact and Adapting Your Strategy
AI Overviews are AI-generated summaries Google shows above the regular results for some searches, with links to the pages they draw on; AI Mode is a separate conversational search view that also links to sources. Their effect on a site can't be read from industry averages: it depends on which of your queries show them, whether your pages are among the links, and what the visits you keep are worth. Since August 31, 2026, Search Console's generative AI performance reports have been available to all sites, though a site with too few impressions in those features may not see them, so measurement can start from Google's own data where it exists rather than manual checks alone.
1blog.google 2developers.google.com 3support.google.com
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AI Content Detection and Quality: Navigating the Landscape
The question that matters for SEO isn't "would a detector flag this?" but "is this accurate, original and useful, and has a person checked it?" Google's spam policy on scaled content abuse targets "large amounts of unoriginal content that provides little to no value to users, no matter how it's created", and its guidance on generative AI content asks you to check accuracy, quality and relevance. AI text detectors give an estimate, not proof, and they're no substitute for an editorial review.
1developers.google.com 2deepmind.google
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AI-Assisted Content Creation: Best Practices and Guidelines
Google doesn't rank content by how it was made, but it does name what goes wrong with AI content. Its guidance on generative AI content, updated October 1, 2026, opens: "Generative AI can be particularly useful when researching a topic, and to add structure to original content. However, using generative AI tools or other similar tools to generate many pages without adding value for users may violate Google's spam policy on scaled content abuse." Using AI well means keeping people responsible for what AI can't supply (purpose, facts, experience and judgment) and never letting volume stand in for value.
1developers.google.com
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AI and the Future of SEO: Adapting to Changing Search
AI is changing where people get answers (AI Overviews and AI Mode in Google, chat assistants elsewhere), but the foundation of SEO hasn't moved: Google's guide to generative AI search says "The way Google Search finds and processes your pages remains the core of how our AI systems access your data." Adapting means keeping that foundation solid, measuring visibility in the new features alongside classic results, writing content that's worth citing because it adds something, and changing how SEO work itself is done now that AI tools can draft, classify and analyze. It doesn't mean rewriting the site in a special format for machines.
1developers.google.com
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Ahrefs: Complete Usage Guide
Ahrefs is a paid SEO platform built around its own crawl of the web: Site Explorer for any domain's backlinks, keywords and estimated traffic, Keywords Explorer for research, Content Explorer for finding pages by topic, Site Audit for technical checks, Rank Tracker for positions, and Brand Radar for visibility in AI answers. Using it well means two things. Pick the tool that answers your question, and read its numbers as Ahrefs' estimates, not as Google's data. For your own site, Search Console remains the source of record; Ahrefs adds competitors, link data and a second view.
1ahrefs.com 2help.ahrefs.com
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A/B Testing for SEO: Split Testing Methodology
An SEO split test changes one element on a group of similar pages, leaves a matched group unchanged, and compares how the two groups' organic clicks move over the same period. It differs from a conversion test, which shows different versions of one page to different visitors: in an SEO test each page has one version, seen the same way by Googlebot and by people, and the comparison is between pages. That design keeps the test within Google's rules and separates the effect of your change from updates, seasonality and other movement that hits both groups.
1developers.google.com