How to get your SaaS recommended by Google Gemini and AI Overviews

"Gemini" covers more than one place a buyer might meet your product: the Gemini app, AI Overviews at the top of Google results, and AI Mode in Google Search. They're different products, but they share one foundation that matters most for a SaaS team: Google's search index. This guide explains what Google has said about how these features use the web, what to do about it, and how to measure it.

A note on our data: ShortlistWatch's published AI rankings and free check currently measure ChatGPT, not Gemini. Numbers quoted below come from our ChatGPT runs and are there to illustrate how AI answers behave in general, not as Gemini measurements.

How Gemini and Google's AI features use the web

Here is what Google's own documentation says.

AI Overviews and AI Mode are built on Google Search. Google's "AI features and your website" guide says the best practices for SEO remain relevant, and that there are "no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." To be eligible as a supporting link, a page must be indexed and eligible to be shown in Google Search with a snippet.

They search more widely than a normal query. Google says both features may use a "query fan-out" technique, issuing multiple related searches across subtopics and data sources to build a response. For a buyer question like "best CRM for a five-person startup", that can mean related searches about pricing, integrations, alternatives and reviews, which in turn means more of your pages (and more pages about you) can be relevant.

The Gemini app can be grounded in Google Search. Google's crawler documentation describes "grounding", meaning content from the Google Search index provided to the model at prompt time, in Gemini Apps. The robots.txt token Google-Extended lets publishers control whether their content is used for training future Gemini models and for that grounding. Google says Google-Extended does not affect a site's inclusion in Google Search and is not a ranking signal.

No special files or markup are needed. Google says you don't need new machine-readable files, "AI text files", or special schema.org structured data to appear in these features.

The practical summary: if you're strong in Google Search for your buyers' questions, and the pages Google ranks for those questions describe you well, you're in a good position for Google's AI features too.

Step 1: Get the technical basics right

1. Allow Googlebot. Make sure robots.txt, your CDN and your firewall let Googlebot crawl your important pages. Google's documentation names this explicitly.
2. Decide on Google-Extended deliberately. Blocking it doesn't remove you from Search or AI Overviews, but it does opt your content out of grounding in Gemini Apps. If being recommended inside the Gemini app matters to you, don't block it by accident.
3. Verify your site in Google Search Console and submit a sitemap. Use the URL Inspection tool to confirm Google can see your key pages as rendered HTML.
4. Don't block snippets. Pages need to be eligible for a snippet to appear as supporting links, so avoid nosnippet or very small max-snippet values on pages you want cited.
5. Keep important content in text. Pricing, features, integrations and who the product is for should be readable text, not only images or gated PDFs.

Step 2: Find what Google already shows for your buyers' questions

Fan-out means Google's AI features draw on pages that rank for many related queries. Start by looking at what already ranks:

1. List 10 to 20 buyer questions: "best [category] for [audience]", "[competitor] alternatives", "[you] vs [competitor]", "cheapest [category] with [feature]".
2. Search each one in Google. Note which pages rank on page one, and whether an AI Overview appears and which links it shows.
3. Ask the same questions in the Gemini app and note the products named and any sources shown.
4. Group the pages: editorial roundups, review platforms, directories, forums, vendor pages, documentation, video.

Google notes that AI Overviews only appear when its systems decide they add something, so many queries won't show one. That's normal; the ranking pages still matter.

Step 3: Earn coverage on the pages that rank

For "best X software" questions, Google's first page is usually dominated by third-party pages. Getting fairly represented on them helps both classic rankings and AI answers:

• Editorial roundups. Pitch writers with a short note: what you do, for whom, how you differ, plus a free account to test. Keep it factual.
• Review platforms (G2, Capterra, TrustRadius and category-specific sites). Complete your profiles and ask real customers for reviews. Don't buy or filter reviews.
• Directories and integration marketplaces. These often rank for long-tail queries and describe you in category language.
• Communities and video. If forum threads or YouTube reviews rank for your buyers' questions, take part honestly or offer demo access to reviewers.

The source landscape is usually wide. In our ChatGPT runs, 100 answers across 20 SaaS categories linked 424 different websites (204 of them cited inline for a specific claim), and the most cited one (techradar.com) appeared in 32 answers. Prioritize the pages that recur for your own questions.

Step 4: Be a clear, consistent entity

Google's systems need to understand what your product is and how it relates to others. Help them:

• Use the same name, category and description on your site, Google Business Profile (if you have one), social profiles, directories and marketplaces. Google's AI features guide specifically recommends keeping Business Profile information up to date.
• Handle renames carefully. Keep "formerly [old name]" on your site for a while, redirect old URLs, and update profiles. Old names linger in AI answers: in our ChatGPT data, an answer without cited sources still recommended "Sendinblue" and "ConvertKit" by their former names.
• Add structured data that matches the visible page, such as Organization (with sameAs links to official profiles) and SoftwareApplication. Google stresses that structured data should match visible text. It's for clarity, not a shortcut.
• Make your About page useful: who's behind the product, what it does, when it launched, and how to contact you.

Step 5: Publish helpful pages for real comparison questions

Google's guidance for AI features points back to helpful, reliable, people-first content. For SaaS buyer questions, that typically means:

• Comparison pages ("[You] vs [Competitor]") that are fair, specific and say when the other product is the better choice.
• Alternatives pages that list several real options.
• Use-case pages for the segments you really serve.
• Documentation and help articles that answer "can it do X?" directly.
• Clear structure. A direct answer near the top of each section, then the detail; tables for plan limits and pricing; a visible "last updated" date.

Specific questions open doors for smaller products. In our ChatGPT email marketing data, one question about "affordable email marketing software with good support" surfaced five smaller tools that none of the other four answers in that category named. Write for the narrow questions your best customers ask, not only the broad head term.

Step 6: Measure it properly

Use Search Console. Google says traffic from AI Overviews and AI Mode is included in the Performance report under the "Web" search type. You won't get a separate AI line, but you can watch impressions and clicks for your comparison and "best for" pages, and the queries that bring them.

Track answers, not just traffic. AI answers vary. In our ChatGPT runs on 26 October 2026, 151 of 264 product-and-category pairs (57%) appeared in only one of the category's five answers, and just 9 products appeared in all five. A single check proves little. Instead:

1. Keep a fixed set of buyer questions.
2. Re-check on a schedule (weekly or every two weeks) in Google and the Gemini app.
3. Record whether you're named, your position, and the linked sources.
4. Compare against two or three direct competitors.
5. Log what you changed (new comparison page, new review profile, a listicle placement) and look for changes in the following weeks.

What to avoid

• Blocking Googlebot or snippets on pages you want cited.
• Blocking Google-Extended without meaning to, if Gemini app visibility matters to you.
• Scaled, thin "AI-bait" pages. Mass-produced pages written mainly to rank fall foul of Google's spam policies on scaled content abuse.
• Expecting a special AI file or schema to do the work. Google says none is needed.

The short version

1. Let Googlebot crawl, keep snippets allowed, and choose your Google-Extended setting on purpose.
2. Verify in Search Console and check your key pages render as text.
3. See what ranks for your buyers' questions and earn fair coverage there.
4. Keep your name, category and facts consistent, with matching structured data.
5. Publish fair comparisons, alternatives and use-case pages.
6. Watch Search Console and re-run a fixed question set on a schedule.

Much of this overlaps with what works for ChatGPT and Perplexity. To see where you stand in ChatGPT right now, the free check runs real buyer questions for your category and shows who gets named and which sources are cited.