Google’s AI Overviews are not killing trafficThey are changing who deserves it. ![]() Every week, I speak to businesses who are worried. Sometimes panicked. It does not matter whether they run a local plumbing business, a fast-growing Shopify store or a large, content-led site, the question is always the same: Is Google’s new AI search going to wipe out our organic traffic? It is an understandable fear. The headlines are dramatic. Zero-click search. The end of SEO. AI answers replace websites. But when you step back and look at how Google’s AI Overviews work, a more grounded picture emerges. One that is far less apocalyptic, and in many cases, more commercially promising. Because this is not a new search engine. It is the same Google, using the same ranking systems, asking tougher questions about quality. What Google’s AI is really doing?The summaries now appearing at the top of search results, AI Overviews are not generated from thin air. Google does not allow its AI to invent answers based on training data alone. That would quickly lead to outdated information and fabricated facts. Instead, it uses a process known as retrieval-augmented generation, or, more simply, grounding. Here is how it works.When someone searches, Google:
In other words, AI Overviews are built on top of the web, not in place of it. ![]() AI Overview exampleFor more complex queries, Google goes a step further using query fan-out. If someone searches “how to fix a patchy lawn in spring,” Google does not just look for that phrase. It silently runs multiple related searches; soil aeration, seed types, fertiliser timing, and blends those results into a single response. The important detail? Your content is far more likely to appear if Google already recognises it as authoritative. When Google chooses not to show an AI OverviewAI Overviews do not appear on every search. Google applies what it calls an additive filter. The system asks a simple question: does an AI-generated summary genuinely help the user here? If the answer is no, for example, someone checking the time in Tokyo or a share price, Google simply serves a direct data result. No AI summary, no citations, no links. That distinction matters. Because it tells us something important about where search is heading. The traffic that remains is better traffic.Yes, AI Overviews can absorb some quick, low-intent clicks. But the users who do click through after reading an AI summary behave very differently. They have already:
Across many of the sites we manage, we are seeing consistent patterns from AI Overview traffic:
AI Overviews are not removing value. They are filtering for it. The technical reality: if Google cannot read you, you are invisible.Before worrying about content strategy, there is a more basic question to answer: can Google’s systems access your site? You can publish the most useful article in your industry. If your technical setup blocks summarisation or slows access, Google will simply move on. Many sites unintentionally block AI Overviews using nosnippet, or overly restrictive max-snippet settings. This often happens through developer defaults or over-zealous security plugins. When that happens, Google is technically prevented from summarising your content. You can check this using the URL Inspection Tool in Google Search Console. There is a similar trade-off with Google-Extended. Blocking it prevents your content from being used to train future AI models, which may be desirable from a privacy perspective. Google states this does not affect rankings, but businesses should still weigh that decision carefully as AI-driven search experiences continue to evolve. Speed still matters.AI systems operate at scale and at speed. If your site is slow to respond, or if an aggressive security system blocks Google during high-speed query fan-out, your content may not be considered at all. Four technical basics that still decide everything.You do not need exotic AI optimisation. You need clean fundamentals.
Why generic content is no longer enough.For years, many sites survived on what we call commodity content. You know the type:
Here is the problem.
How to make content AI-resistant (in an effective way)Most businesses already have what AI cannot replicate. They just do not document it. Three practical shifts are effective:
![]() A word on AI-generated contentUsing AI to scale out hundreds of generic posts is tempting, and risky. Google is explicit about filtering scaled, low-value content. More importantly, this type of writing is exactly what AI Overviews summarise without sending traffic back to your site. Used carefully, AI can support research and structure. Used carelessly, it replaces you. E-commerce and local businesses: data beats proseIf you sell products or services, you are not just competing with articles. You are competing inside Google’s databases. For e-commerceAs search moves towards more agent-driven experiences, Google relies on structured product data to compare pricing, availability, and delivery in real time. If your schema is incomplete or outdated, those automated systems simply will not surface your products, regardless of how strong your content is. For local businessesYour Google Business Profile is no longer optional. It is a live data feed. When users ask questions like: “Find a plumber near me who’s open after 5pm and works with tankless systems” Google queries local databases first. Incomplete profiles, vague service descriptions, or unverified hours mean exclusion. The practical checklistTo make this simple, here is a quick, practical checklist you or your team can work on starting today.
What to stop doingSome habits actively work against you in AI-driven search:
Measure what matters!In AI search, raw traffic is becoming a vanity metric. If someone gets a quick answer and does not click, they were unlikely to convert anyway. What matters now:
About the authorWouter Kritzinger is SEO director at Dentsu PerformanceMedia.
| ||||||||||||||||||||