Google AI Overviews: What They Are and What Marketers Need to Know

The way people interact with search results is changing due to the rollout of Google AI Overviews. Through this new feature, we’re stepping into a new era of how content is surfaced, summarised, and seen.

Instead of simply listing links, Google now uses generative AI to create and surface on-the-spot summaries in response to certain queries.

So what does this mean for visibility, traffic, and the strategies B2B brands rely on to reach their audience? Whether you’re briefing your marketing team or rethinking your approach to SEO, understanding AI Overviews is no longer optional, it’s essential.

This article breaks down what AI Overviews actually are, how they differ from traditional features and what digital marketing teams can do today to stay visible and competitive.

​​What Are Google AI Overviews?

If you’ve searched on Google recently and noticed a block of AI-generated text summarising the answer to your query, that’s an AI Overview.

Google AI Overviews are generative summaries powered by large language models (LLMs). They appear at the top of certain search results, offering users an instant answer without needing to click through to a website.

Unlike featured snippets or knowledge panels, AI Overviews synthesise information from multiple sources to create a short, human-like explanation, almost like a mini article embedded in the search page.

How AI Overviews Work in Google Search

Here’s the simplified journey:

1. A user types a question into Google.
2. Google’s generative AI scans indexed content.
3. It produces a brief summary directly in the SERP.
4. Beneath the summary, links to cited sources may appear, but not always clearly or consistently.

Origins in the Search Generative Experience (SGE)

AI Overviews began in Google’s experimental Search Generative Experience (SGE), a Labs feature launched in 2023. It allowed users to explore AI-powered search results alongside traditional ones. By mid-2024, Google began rolling this out more broadly under the AI Overviews label, marking a significant step in its vision for “AI-first search.”

Why the shift? Google wants to help users find answers faster, especially for complex queries, while reducing the number of clicks needed to get value. But for marketers, fewer clicks can mean less traffic, less data, and more uncertainty.

Why Google AI Overviews Matter for Digital Marketing

Google’s AI Overviews aren’t just a UI tweak, they’re a structural change to how visibility is distributed across the SERP.

At face value, AI Overviews seem helpful for users. They get quicker answers and there’s less scrolling needed. But for marketers focused on visibility, engagement, and conversions, these same features may disrupt traditional metrics and demand a fresh SEO strategy.

Impact on Click-Through Rates and Organic Traffic

Early data suggests a potential drop in click-through rates (CTR) for organic results. According to Search Engine Journal, publishers have reported significant traffic losses, with some seeing click-through rates drop by as much as 89%.

However, it’s not all bad news. Some brands featured within the Overview (via citations) may still see increased brand visibility, even if it doesn’t translate into a direct click. The key variable? Whether your content is surfaced within the AI Overview or simply pushed down by it.

Visibility Shifts: Who Gets Featured and Why

To be cited in an AI Overview, your content typically needs to typically:

• Rank in the top 1-35 results for the query
• Reside on a trusted domain with strong EEAT (expertise, experience, authority, trust)
• Be clear, concise, and semantically relevant to the user intent

That means larger publishers and high-authority domains often get priority. But it’s not impossible for smaller, niche B2B sites to be featured, especially if their content is well-structured, factual, and tailored to specific queries.

How AI Overviews Influence User Behaviour

User behaviour is already shifting. A Pew Research Center report found that about six-in-ten respondents conducted at least one Google search in March 2025 that produced an AI-generated summary. The analysis found that Google users were less likely to click on result links when visiting search pages with an AI summary compared with those without one.

For marketers, this introduces a new tension: optimise for visibility and brand recall inside the Overview, even if it doesn’t lead to a visit. Think of it like SEO meets digital PR, your content needs to be seen and cited, not just clicked.

How to Optimise Content for Google AI Overviews

Now that we know how AI Overviews work and what they mean for visibility, the next step is practical: how do you ensure your content still performs?

The foundations of what is classed as ‘good SEO’ still apply. But there are new nuances, especially around how content is structured, cited, and understood by large language models (LLMs).

Ranking Signals That Influence Inclusion

Just like traditional SEO, content quality remains key. But to increase your chances of being featured or cited in an AI Overview, there are a few specific ranking signals to optimise for:

• Topical depth and clarity: Content should fully answer the question, using plain language that avoids fluff.
• Semantic relevance: Use related terms naturally (think: synonyms, context clues, real user phrasing).
• Structured data: While not always visible, schema helps Google understand your page faster and more precisely.
• Author credibility: Google increasingly values named authors, bios, and editorial transparency.

Structuring Content for Generative Summaries

Think of writing for AI Overviews like writing to be quoted in a summary. You want to make it easy for Google to lift your explanation and slot it into the answer box.

Here’s how to do it:

• Use question-based H2s that mirror search intent
• Start sections with clear definitions or direct answers
• Break up content with bullet points, lists, or steps
• Avoid long intros before you deliver value

Imagine Google is scanning your page for a 2–3 sentence quote. What would it grab?

Best Practices for Schema, EEAT, and Topical Authority

Some of the more technical tweaks still matter, especially for priorities around performance and credibility.

Here’s where to focus:

• Schema Markup: Use FAQPage, HowTo, and WebPage schemas where applicable. These make your structure more machine-readable.
• EEAT Signals: Make sure content has a named author, bio, and clear publishing date. Include outbound citations from reputable sources.
• Topical Hubs: Don’t just publish one article. Group related posts under clear category pages or content clusters — this boosts relevance and authority.

Think of AI Overview optimisation as a balance: you’re writing for humans first, but making it easier for machines to recognise and summarise your authority.

Challenges and Concerns Around AI Overviews

While Google AI Overviews offer opportunities for smarter search visibility, they also introduce a range of new concerns, both strategic and operational. For marketing teams used to measuring performance by clicks, rankings, and conversions, this shift can feel like navigating in low visibility.

Accuracy, Bias, and Content Attribution Issues

At the core of AI Overviews is generative AI which means they can (and sometimes do) get things wrong.

• Hallucination risk: Google’s models may invent facts or misrepresent content, especially in niche or technical topics.
• Source bias: Large publishers tend to dominate Overview citations, reducing the visibility of smaller or emerging voices.
• Attribution clarity: Not all summaries clearly link back to source content.

For brands, this poses a real risk: your messaging might be misinterpreted or your content might drive traffic without the traffic ever reaching you.

The SEO Metrics That May Be Affected

Generative search reshapes how performance is measured. Expect shifts in:

• Organic CTR: You may rank well, but still see fewer clicks.
• Branded search volume: AI summaries might replace some branded queries.
• Average position: Ranking positions become harder to interpret if the AI box claims attention first.

Use tools like Search Console to track changes in visibility and click patterns, especially for queries where Overviews appear.

What Marketers Should Track Going Forward

To stay ahead, it’s worth building new baselines and tagging content that intersects with generative results. Here’s a quick checklist:

• Track keyword clusters where AI Overviews frequently appear
• Monitor impressions vs. clicks to detect visibility without traffic
• Use platforms like Authoritas or seoClarity to detect AI Overview presence
• Add ‘AI visibility’ as a field in content audits to identify wins/losses

Understanding where you’re visible but not visited is key to adapting your strategy without losing momentum.

How Agencies and In-House Teams Should Adapt

The introduction of AI Overviews demands more than just reactive tweaks, it calls for a mindset shift. Marketers must move from chasing clicks to measuring presence, authority, and discoverability across a more dynamic search landscape.

Whether you’re part of an in-house team or working with an agency, these are the practical steps to adapt with confidence.

Reporting on AI Overview Visibility and Losses

First, redefine what ‘losing visibility; means. You might still rank #3, but if an AI Overview appears above, your CTR could drop significantly. That loss won’t always show up in position metrics, but it will in engagement and conversions.

Here’s how to evolve your reporting:

• Add ‘AI Overview Presence’ as a tagging field in your content tracking sheets
• Segment keyword performance by queries with vs. without AI Overviews
• Track impression-to-click deltas for pages affected by generative summaries
• Use tools like Semrush or seoClarity to flag featured/cited content

This is a strong way to show proactive performance monitoring and position your team as ahead of the curve.

Reframing SEO ROI in the Age of Generative Search

Traditional ROI models rely heavily on traffic and conversions. But AI Overviews shift value further up the funnel to visibility, trust signals, and brand presence.

Here’s how to reframe the conversation:

• Treat implied visibility (being cited in Overviews) as part of brand awareness
• Include search appearance without click in attribution models
• Highlight content equity meaning the long-term value of content that ranks and informs, even if it isn’t clicked

This positions SEO less as a lead-gen channel alone and more as reputation management meets strategic discoverability.

Collaborating Cross-Functionally to Future-Proof Search Strategy

To win in the AI-first search era, marketing can’t operate in silos. Visibility now depends on content quality, technical structure, brand clarity, and data alignment.

Start building these cross-functional habits:

• Involve content, brand, dev, and data teams in content planning
• Build AI-optimised content hubs around core topics (not just scattered blogs)
• Align SEO with customer experience goals, not just acquisition metrics
• Audit your site architecture to support semantic relevance and authority

Think of this as laying the foundation for a future-proof strategy, one that flexes as the SERP keeps evolving.

Preparing for an AI-Shaped Search Future

Google AI Overviews are more than just another SERP feature, they’re a signal that search is shifting from links to language, from clicks to context.

For marketers, the challenge is clear: how do you stay discoverable when visibility doesn’t always equal traffic? The answer lies in adapting your strategy, from content structure to performance measurement, and embracing a broader view of SEO that includes brand presence, authority, and usefulness.

The brands that win in generative search? They’re not just ranking, they’re being read, quoted, and trusted.

If you want to understand how to keep your brand visible and relevant in this new search landscape, we can help. At Common Ground, we help B2B brands optimise for AI-driven discovery and build strategies that stand out in the era of generative search.

Get in touch to start future-proofing your search strategy today.