How to optimize for AI Overviews and AI Mode: what Google requires and what B2B SaaS pages need.

How do Google's AI Overviews and AI Mode choose which pages to show?

Both features build answers from Google's own search index. For a query, they may issue several related searches across subtopics, a technique Google calls query fan-out, and then link to the pages that support the response. AI Overviews appear only when Google's systems judge them useful on top of classic search results.

Google describes the two differently. AI Overviews "help people get to the gist of a complicated topic or question more quickly." Google AI Mode "is particularly helpful for queries where further exploration, reasoning, or complex comparisons are needed," which fits the comparison questions B2B buyers ask. Fan-out works in both, "issuing multiple related searches across subtopics and data sources," which lets them "display a wider and more diverse set of helpful links."

The audience is large. In its July 22, 2026 earnings remarks, Google said AI Mode had "surpassed 1 billion monthly active users" since expanding globally in October 2025, and that it had "brought together AI Overviews and AI Mode" in one Search experience. It also said Search is "sending billions of clicks to websites every week through AI features."

Does traditional SEO still matter for AI search results?

Yes. Google says optimizing for generative AI search "is optimizing for the search experience, and thus still SEO." What has changed is which rankings count: AI Overviews now cite many pages that rank for related sub-queries, not only the blue links at the top of the organic results for the original query.

In an Ahrefs study published March 2, 2026, 37.9% of the URLs cited in Google's AI Overviews also appeared in the first 10 results for the same query, down from about 76% in July 2025. Another 31.0% ranked outside the top 100. The author links the drop to fan-out and to the move of AI Overviews to Google's Gemini 3 model in January 2026, while noting that the study's method also changed. YouTube pages made up 5.6% of all the AI Overview URLs in the data.

What that means in practice:

• Search engines still have to crawl, index, and rank a page before an AI feature can cite it, so technical SEO comes first.
• Ranking for the head query helps, and ranking for the questions around it now counts too. Build topical authority with clusters of linked pages, as covered in our guide to website architecture for SEO.
• Internal linking helps search engines find every page in a cluster. Earned links and genuine brand mentions still matter, but Google's guide warns that "seeking inauthentic 'mentions' across the web isn't as helpful as it might seem."

What makes a page eligible to be featured in AI Overviews?

A page must be indexed and eligible to show in Google Search with a snippet, and Google says there are no additional technical requirements. The site also has to be included in Search Console's Search generative AI control, which rolled out to all sites by August 31, 2026, with include as the default.

Google's documentation is unusually direct about what you can skip. "There are no additional requirements to appear in AI Overviews or AI Mode," and "There's also no special schema.org structured data that you need to add." Its guide to generative AI features, updated July 10, 2026, adds that you don't need "new machine readable files, AI text files, markup, or Markdown," and that adding them "will neither harm nor help" your visibility. Schema markup still helps search engines show rich results, so keep it where it matches the visible text.

A technical SEO checklist for Google's AI features:

1. Allow crawling in robots.txt, and check that your CDN or host doesn't block Googlebot. Google lists both.
2. Confirm that the pages you care about are indexed, using URL Inspection in Search Console.
3. Look for nosnippet, a restrictive max-snippet, or data-nosnippet on content you want quoted. These limit what Search can show from a page.
4. Link to important pages from related pages, and keep key content in text, not only in images or scripts.
5. Make sure your schema markup and other structured data match the visible text on the page.
6. In Search Console, open Settings, then Search generative AI, and confirm the property is set to include, or inherits include from its parent.

How do you optimize content for AI Overviews and AI Mode?

Write what Google calls unique, non-commodity content: a point of view, first-hand experience, and specifics that go beyond what other pages already say. Then cover the sub-questions a buyer's query fans out into, each answered directly in its own section, without creating a page for every variation.

Google's guide sets the bar in plain words: "Don't just recycle what others on the internet have already said, or could easily be produced by a generative AI model." Non-commodity content "provides unique expert or experienced takes that go beyond common knowledge." It also says "You don't need to write in a specific way just for generative AI search," and "There's no ideal page length."

The warning matters for SaaS teams with big keyword lists. Google says creating separate content for every query variation, "primarily to manipulate rankings or generative AI responses in Google Search," violates its scaled content abuse policy. One strong page per buyer question beats fifty thin ones.

Google does not publish the related searches it runs, so treat this as a planning model for a query like "best customer onboarding software for B2B SaaS." Map your own queries the same way, then check which sub-questions your site answers badly or not at all.

Writing habits that serve readers and AI-generated summaries alike:

• Use question-based headings in natural language, phrased the way buyers type their search queries, and match each section to the user intent behind them.
• Put a direct answer in the first one or two sentences of each section, then the detail, so each section is self-contained.
• Use bullet points, numbered lists, and tables for options and steps. Structured content is easier to scan, for people and for summaries.
• State limits and exceptions in plain words, such as which plan includes a feature. AI-generated summaries can drop a caveat that sits deep in a long paragraph, or repeat an error.
• Back claims with verifiable dates, numbers, and original research or customer data, and cite reputable sources.
• Add a short FAQ section for the follow-up questions buyers ask after the main one.
• Review priority pages every three to six months, and sooner when a product fact changes.
• Add images and short videos where they explain better than text. Google says its AI features "can bring in relevant images and video."

Provide a good page experience too: Google asks for pages that display well on all devices, load quickly, and make the main content easy to tell apart. Our review of schema markup for AI search covers where structured data still helps.

Do AI Overviews reduce clicks to B2B SaaS sites?

Often, per search. In Pew Research Center's March 2025 browsing data, users clicked a traditional search result in 8% of visits when an AI summary appeared, and in 15% when none did. Google says the clicks that do happen from pages with AI Overviews are higher quality, so judge the effect by conversions, not sessions alone.

The rest of Pew's numbers, from 68,879 searches by 900 US adults:

• Users clicked a link inside the AI summary in 1% of visits.
• Browsing sessions ended on 26% of results pages with a summary, against 16% without one.
• 18% of the searches produced an AI summary.

Pew presents these as associations, not proof that summaries cause the drop. An Ahrefs analysis of 300,000 keywords, published February 4, 2026, points the same way: it estimated that AI Overviews cut the desktop click-through rate of the top organic result by 58% as of December 2025, also as a correlation. Google's side of the story: "We've seen that when people click from search results pages with AI Overviews, these clicks are higher quality," and users "are more likely to spend more time on the site."

Clicks are not the whole picture. A summary that names your product still puts your brand in front of the buyer, even without a click, so count that visibility as a result. Our view for B2B SaaS: expect informational queries and explainer posts to lose more clicks than comparison, pricing, and integration pages, where buyers want the detail behind the summary. Track demo requests, branded searches, and brand mentions next to organic traffic. Our guide to zero-click searches covers what to measure when fewer people click.

How do you measure AI Overviews and AI Mode in Search Console?

Use the Generative AI performance report in Google Search Console, rolled out to all sites by August 31, 2026. It shows impressions from AI Overviews and AI Mode by page, country, device, and date. Pair it with the Performance report and GA4 for clicks and conversions.

How Google counts it: "Impressions are how many times links to your site were shown to a user in a generative AI feature on Google Search." Two results from your site in the same AI feature count as one impression in the chart total, while the page table counts each page. A search type filter splits "Web: text-based" from "Web: multimodal." The report may not appear until a site has enough AI impressions, and Discover has its own report.

The report's help page describes impressions only. For clicks, Search Console counts AI feature traffic inside the Web search type of the Performance report, and in GA4 those visits arrive as Google organic traffic. Our guide to AI traffic in GA4 covers the referrers you can separate, such as ChatGPT and Perplexity.

Should a B2B SaaS site ever opt out of AI Overviews?

Rarely. The Search generative AI control can remove a site from Google's AI Overviews, AI Mode, and Discover's generative AI features within 1 to 2 days, but an excluded site also gives up its AI visibility: the links, impressions, and traffic those features send. It doesn't stop AI training either; Google-Extended handles that.

How the control works:

1. In Search Console, go to Settings, then Search generative AI.
2. Choose include, exclude, or inherit the parent property's setting. Child properties inherit by default.
3. Wait 1 to 2 days, longer for cached content.

Google says the control "isn't used as a ranking or inclusion signal affecting other parts of Search," and points to noindex if you want a page out of Search entirely. Our view: exclusion fits a publisher whose content is the product, such as paid research. For a B2B SaaS marketing site, being cited is usually the point. If one section shouldn't be quoted, such as terms that change by region, use data-nosnippet on that section instead.

What is a 30-day plan to optimize for AI Overviews?

Start with eligibility and a baseline, then rebuild the pages behind your highest-value queries, then measure monthly. Most of the work is classic SEO done more thoroughly, with more attention to the questions around each query.

1. Day 1: confirm the Search generative AI setting, and export a baseline from the Generative AI performance report and the Performance report.
2. Week 1: list 10 to 20 queries tied to pipeline. Search each one, and note whether an AI Overview appears, which pages it cites, and whether yours is among them.
3. Week 1: write down 4 to 6 sub-questions a buyer would ask next for each query.
4. Week 2: fix eligibility issues: indexing, snippet controls, robots.txt and CDN rules, and internal links.
5. Weeks 2 and 3: update the matching pages with a direct answer for each sub-question, first-hand specifics, a table, and an image or short video where it helps.
6. Week 4: check that structured data matches the visible text, and request indexing for updated pages in URL Inspection.
7. Every month: compare AI impressions by page, clicks, and conversions with the baseline.

We offer SEO and GEO for B2B SaaS sites, many of them on Webflow, so we have an interest in the topic. Our Webflow SEO agency page shows how we run it.

Questions about AI Overviews and AI Mode