How to Show Up in Google AI Overviews

Google’s AI Overviews sit at the top of search results, pulling together answers from multiple sources before a user clicks anything. If your SaaS or tech company isn’t referenced in those summaries, you’re invisible during the research phase that shapes buying decisions. The question most marketing leaders are asking right now is straightforward: how do you get your brand cited in these AI-generated answers?

The short answer: you need content that directly answers the questions your buyers ask, structured in a way that Google’s AI can parse and trust. That means clear, authoritative writing, consistent brand signals across the web, and a willingness to rethink how your content is organised. Ranking on page one still matters, but it’s no longer enough on its own. You also need to be the source that AI models choose to cite.

This piece breaks down what AI Overviews are, how they select sources, why many B2B SaaS companies get overlooked, and what you can do about it. We’ve included practical steps, not theory, because you’ve read enough vague advice about “the future of search” to last a lifetime.

What are Google AI Overviews?

Google AI Overviews are AI-generated summaries that appear above traditional organic results for certain queries. They pull information from multiple web pages, synthesise it into a concise answer, and display source links alongside the summary. Google rolled them out broadly in 2024, and by 2026 they appear on a significant share of informational and commercial queries.

For B2B SaaS buyers, this changes the research process. Someone searching “best endpoint detection tools for mid-market” or “how to reduce SaaS churn below 5%” may get a synthesised answer without clicking through to any single page. The AI Overview becomes the first impression, and if your company isn’t mentioned, you’re not part of the conversation.

Research from SE Ranking found that AI Overviews appeared on roughly 30% of all search queries analysed in their study, with higher rates for informational and comparison-type searches. That’s a large portion of the queries your buyers are typing in.

The format varies. Some AI Overviews are short paragraphs. Others include bulleted lists, product comparisons, or step-by-step instructions. Google’s AI decides the format based on the query type. What stays consistent is that the AI selects specific sources to cite, and those cited sources get the visibility that used to belong exclusively to the top three organic results.

How AI Overviews choose their sources

Google hasn’t published a detailed algorithm for AI Overview source selection, but patterns have emerged from large-scale studies. The sources cited in AI Overviews tend to share a few characteristics: they rank well organically, they answer the query directly, and they carry signals of authority in their subject area.

A UK-focused study found that pages already ranking in the top 10 organic positions accounted for the vast majority of AI Overview citations. This makes sense. Google’s AI is drawing from sources it already trusts, not discovering obscure pages that traditional search wouldn’t surface.

Content structure plays a measurable role. Pages with clear headings, direct answers near the top of sections, and well-organised information get cited more often. The AI needs to extract a clean, quotable passage, so content that buries its answer under five paragraphs of preamble tends to get skipped.

Third-party validation matters too. Pages from sites with strong backlink profiles, citations on review platforms, and consistent mentions across the web are more likely to be selected. Google’s AI is trying to verify claims, and it favours sources that other credible sites also reference. This is why a SaaS company with a strong G2 presence, consistent Crunchbase data, and mentions in industry publications has an advantage over one with a blog and nothing else.

The AI also pulls from forums and community discussions. Google has started including expert advice sourced from platforms like Reddit and specialist forums in its overviews, which means your team’s contributions to relevant communities can indirectly influence whether your brand appears.

Why B2B SaaS companies get left out

Most B2B SaaS companies between £2M and £20M ARR have the same problem: their content is written for people who already know the brand, not for the questions buyers ask before they’ve heard of anyone. AI Overviews prioritise content that answers specific questions clearly. Product pages full of feature lists and jargon don’t qualify.

There’s also an entity problem. AI models build an understanding of companies from multiple sources across the web. If your LinkedIn description says one thing, your G2 profile says another, and your website positioning has shifted twice in the last year, the AI doesn’t have a clear picture of what you do. It won’t cite a source it can’t confidently categorise.

Many SaaS companies also lack the third-party signals that AI models weigh heavily. If your company has no analyst mentions, no review platform presence, and no backlinks from industry publications, you’re asking the AI to trust you based on your own claims alone. That’s not how it works.

Another common gap: thin content on the topics that trigger AI Overviews. Comparison queries (“X vs Y”), category questions (“best tools for Z”), and problem-solution queries (“how to fix high churn in SaaS”) are exactly the types that generate AI Overviews. If you haven’t published anything addressing those queries directly, you won’t appear.

Finally, technical SEO issues quietly disqualify otherwise good content. Missing structured data, slow page speeds, and poor mobile experiences all reduce the likelihood of being selected. Teams that fix their structured data and hit Core Web Vitals benchmarks (Lighthouse scores above 90) give themselves a better starting position.

How to optimise for AI Overviews

Getting cited in AI Overviews requires specific, practical changes to how you create and structure content. Here’s what works:

1. Identify the questions your buyers ask AI tools. Run manual prompt tests in ChatGPT, Perplexity, Gemini, and Google itself. Search your category (“best [your category] tools”), your competitors (“X vs Y”), and the problems you solve (“how to reduce [specific problem]”). Note which companies get cited and which sources appear.

2. Structure content around those questions. Use the question as an H2 heading, then answer it directly in the first one to two sentences. Provide supporting detail after. This format gives the AI a clean passage to extract.

3. Build topic clusters, not isolated blog posts. A single article on “SaaS churn” won’t compete. A cluster covering churn benchmarks, churn reduction tactics, churn measurement methods, and related subtopics signals depth and authority. Google’s AI is more likely to cite a source that demonstrates comprehensive coverage of a subject.

4. Align your entity signals. Audit your company descriptions on LinkedIn, G2, Capterra, Crunchbase, and your website. They should all describe your company, category, and value proposition consistently. If one says “cybersecurity platform” and another says “IT management tool,” you’re creating confusion for AI models.

5. Earn third-party citations. Get listed on relevant review sites. Contribute guest posts to industry publications. Participate in analyst reports. These aren’t vanity exercises; they’re the signals AI models use to verify your credibility.

6. Use structured data properly. Implement FAQ schema, organisation schema, and product schema where appropriate. This helps Google’s systems understand what your page is about and extract relevant information.

Gripped runs what it calls a GEO audit for its B2B SaaS clients, checking how AI tools currently describe the company and its category, identifying which sources they pull from, and spotting where competitors get cited instead. That audit becomes the foundation for a content and authority-building programme designed to close the gaps.

Why strong SEO foundations still matter

There’s a temptation to treat AI Overview optimisation as something entirely separate from SEO. It isn’t. The data consistently shows that pages cited in AI Overviews tend to already rank well in traditional organic results. Your SEO work is an input to your AI visibility, not a separate track.

This means the fundamentals haven’t changed. You still need technically sound pages, strong internal linking, relevant backlinks, and content that matches search intent. What’s changed is that these foundations alone aren’t sufficient. You also need the content structure, entity consistency, and third-party signals described above.

Some publishers have reported that AI Overviews haven’t dramatically reduced their click-through rates, particularly for complex queries where users want more detail than the summary provides. B2B SaaS queries often fall into this category. A buyer researching compliance automation software isn’t going to make a purchasing decision based on a three-sentence AI summary. They’ll click through to read the full comparison, check pricing, and evaluate fit.

That’s good news. It means appearing in the AI Overview can function as a visibility boost rather than a traffic replacement, provided your underlying content is strong enough to earn the click. Think of the AI Overview as a new kind of featured placement: it gets your name in front of the buyer, and your page content closes the deal.

Gripped’s approach reflects this reality. Their SEO and GEO work sits under one roof, so the content architecture serves both traditional rankings and AI citation. For SaaS companies in the £2M to £20M range, that integrated approach avoids the common mistake of treating AI visibility as a bolt-on project.

How to track your AI Overview visibility

Tracking whether you appear in AI Overviews is harder than tracking traditional rankings. Google Search Console doesn’t currently break out AI Overview impressions as a separate metric, so you need a combination of manual checks and third-party tools.

Start with manual prompt testing. Once a month, run a set of queries that matter to your business: your category, your competitors, the problems you solve. Do this in Google (logged out, incognito), and also in ChatGPT, Perplexity, and Gemini. Record which companies get mentioned, which sources get cited, and where you’re absent.

Several SEO platforms now offer AI Overview tracking. Tools like SE Ranking, Semrush, and Ahrefs have added features that flag when your domain appears in AI Overviews for tracked keywords. These aren’t perfect, but they give you a baseline and help you spot trends over time.

The metrics that matter most are citation frequency (how often your domain appears), competitive share (how you compare to competitors in the same queries), and source diversity (whether the AI is pulling from your blog, your product pages, or third-party sites that mention you). Track these monthly. Changes happen slowly, but consistent monitoring lets you catch drops early and measure the impact of content changes.

One honest caveat: the evidence on what specifically moves the needle for AI Overview citations is still emerging. Some tactics, like schema markup, are low-cost signals rather than guaranteed fixes. Be sceptical of anyone claiming a silver bullet. The companies making progress are the ones testing, measuring, and iterating, not the ones following a single checklist.

Common questions

Are AI Overviews the same as featured snippets?

No. Featured snippets pull a single passage from one source and display it prominently in search results. AI Overviews synthesise information from multiple sources into a new, AI-generated summary. A featured snippet quotes you directly. An AI Overview might reference your content alongside two or three other sources, or it might paraphrase your information without a direct quote. Both are valuable, but they work differently. You can hold a featured snippet and not appear in the AI Overview for the same query, and vice versa. The optimisation tactics overlap (clear structure, direct answers), but AI Overviews place more weight on entity authority and third-party validation.

Can you opt out of AI Overviews?

Technically, yes. You can use the “nosnippet” meta tag to prevent Google from using your content in AI Overviews. But for most B2B SaaS companies, opting out is counterproductive. AI Overviews are becoming a primary way buyers encounter brands during research. Removing yourself from that surface means losing visibility at a critical stage of the buying journey. The better strategy is to optimise for citation rather than avoid it. Some publishers with ad-dependent revenue models have considered opting out to protect click-through rates, but for SaaS companies where the goal is pipeline generation, being cited in an AI Overview is almost always a net positive.

Getting started

The shift toward AI-generated search results isn’t theoretical. It’s already changing how your buyers research software categories, compare vendors, and build shortlists. The companies that show up in Google AI Overviews are the ones with clear, well-structured content, consistent brand signals, and enough third-party validation for AI models to trust them.

Your next step is straightforward: run the manual prompt tests described above, audit your entity consistency across platforms, and identify the content gaps where competitors are getting cited and you’re not. That gives you a prioritised list of work, not a vague aspiration.

If you’d rather not piece this together internally, Gripped works exclusively with B2B SaaS and tech companies on exactly this kind of problem, from GEO audits through to content architecture and authority building. Get your free growth audit to see where you stand and what’s worth fixing first.