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Getting Into Google AI Overviews in 2026: What Works, What Is Noise, and Whether It Is Worth It

Summarize with ChatGPT
JK
John Kyprianou
June 5, 2026
12 min read
Getting into Google AI Overviews, illustrated by SEO Turtle, an AI answer box pinned above the classic blue links

Run almost any "how", "what", or "best" search on Google today and the first thing you see is not a blue link. It is a paragraph of generated text, a few citations tucked along the side, and a fold you have to scroll past to reach the actual results. That box is the AI Overview, and over the last year it has gone from a nervous experiment to the default answer on most informational queries.

The search volume tells the story on its own. The term "ai overviews" pulls around 90,500 searches a month in the US now, up more than 300 percent year on year in our keyword data, with monthly demand climbing from roughly 49,500 last May to over 200,000 this spring. People are not just being shown AI Overviews. They are searching for what they are and what to do about them.

So here is our contribution to that pile. We pulled 90 days of our own Search Console data, looked hard at how Google actually decides who gets cited, and then separated the moves that genuinely help from the ones being sold by people who need you scared. If you have read our piece on the great decoupling, treat this as the sequel. That one was the diagnosis. This is what you do about it.

Getting into Google AI Overviews, an AI answer box pinned above the classic blue links, illustrated by SEO Turtle

What AI Overviews actually are in 2026

An AI Overview is the generated summary Google places at the top of the results for a query it thinks it can answer directly. It pulls passages from a handful of pages, stitches them into a short answer, and links the sources it leaned on. It is the same engine that powers Google AI Mode, just dropped into the classic results page rather than a separate chat surface.

The mechanism underneath is worth understanding, because it changes what "winning" means. Google does not match your page against the query once. It breaks the question into sub-questions, runs a spread of searches at the same time, and assembles the answer from whichever page best satisfies each thread. We wrote a whole piece on this, called query fan-out, and it is the single most useful concept for making sense of AI Overviews. You are no longer trying to rank one page for one keyword. You are trying to be the best available source for a cluster of related questions, any one of which can pull you into the box.

The reach is the part that makes this unavoidable. Pew Research found that 58 percent of US users ran at least one search in March 2025 that returned an AI summary, in a study laid out on the Pew Research Center site. That was over a year ago. On informational queries the coverage now feels closer to total.

The click math is genuinely bad, and you should know the real numbers

This is where most articles either panic or wave it away. The honest version sits in the data, so here it is.

The same Pew study found that when an AI summary appeared, users clicked a traditional result 8 percent of the time, against 15 percent when there was no summary. Roughly half the clicks, gone. And the link inside the AI summary itself? Users clicked it just 1 percent of the time. The box answers the question and the session ends.

Ahrefs put a sharper number on it from the publisher side. In an updated analysis of 300,000 keywords, they found AI Overviews cut the organic click-through rate for the number one result by 58 percent, up from the 34.5 percent they measured back in April 2025. The effect nearly doubled in eight months. Search Engine Land has been tracking the same direction of travel across multiple studies.

Put plainly: ranking first is worth a lot less than it used to be on any query that triggers an Overview. That is not opinion, it is measured. What you do with that fact is where the opinion starts.

We can see it in our own data

We always show our own numbers, partly because we run our own site through the same wringer we put clients through, and partly because secondhand stats are easy to dismiss. Here is the last 90 days across seoturtle.com, every figure pulled straight from Search Console.

The headline is almost comic. 63,819 impressions. 46 clicks. A site-wide click-through rate of 0.07 percent at an average position of 54. We are being shown to an enormous number of people, almost none of whom arrive.

The shape over time matters more than the totals. Our daily impressions sat around 400 to 700 through March and April, then roughly doubled from mid-May, holding between 1,300 and 1,600 a day. Clicks did not move with them. They stayed pinned at zero to two a day the entire time. That is the decoupling in a single chart, and a chunk of it is informational queries getting absorbed into Overviews before anyone reaches us.

Here is where the impressions actually land, by page:

Page Impressions Clicks Avg position
/ai-seo/perplexity 29,804 0 59.9
/ (homepage) 12,519 28 41.7
/locations/cyprus 5,366 1 64.0
/services/igaming-and-casino-seo 4,908 7 51.1
/tools/chrome-seo-audit-extension 1,995 2 52.4
/services/website-audits 1,752 1 58.6

Look at that top row. Nearly 30,000 impressions, not a single click, sitting at position 60. That is a page picking up visibility across a huge cluster of AI-adjacent informational queries and converting none of it, because at position 60 you are nowhere near the Overview's source list and nowhere near the clicks either.

The honest caveat, and longtime readers know we always include one: most of this is not AI Overviews stealing our clicks. It is us ranking on page four and beyond for queries we have not earned yet. Position 54 does not get clicks with or without an Overview. Blaming AI for a depth-of-ranking problem is the most common mistake we see, and we are not going to make it about our own data. The AI Overview tax is real, but it lands hardest once you are already near the top. The rest is just SEO that is not finished.

How Google actually decides who it cites

This is the part worth your attention, because it is the only part you can act on. From Google's own guidance and from watching which pages get pulled, a few things hold up consistently.

There is no special markup and no separate track. Google's documentation on AI features in Search is blunt about this. There is no "AI Overview schema", no setting, no tag. The pages it cites are pages it already crawls, indexes, and ranks. Visibility in the Overview is downstream of normal ranking, not a parallel game. This is the same point Google has made about GEO and AEO being, at root, still SEO.

It pulls extractable passages, not whole pages. The model lifts the specific sentence or short block that answers a sub-question. Pages that bury the answer in a wandering intro give it nothing clean to lift. Pages that state the answer plainly, right under a heading that matches the question, hand it a passage on a plate.

It rewards demonstrated experience. First-hand data, original testing, named methods, and a clear author do better than recycled summaries. This is E-E-A-T doing exactly what it was always meant to do, now with teeth, because the model is choosing between sources and needs a reason to trust one over another.

It needs you to define things explicitly. Spell out the entities. Name the product, the company, the framework, the place. The model resolves which source to cite for which claim partly by how clearly you have told it what you are talking about.

None of that is new advice. It is the answer engine optimization playbook, which is the topic cluster playbook, which is the helpful content playbook before it. The mechanism keeps changing names. The behaviour it rewards has barely moved in a decade.

The actual playbook, minus the theatre

Here is what we do, in order of how much it actually moves the needle.

  1. Answer the question in the first two sentences under the heading. Lead with the direct answer in about 40 words, then expand. This is the single highest-leverage change, because it is exactly the shape the model wants to extract. Stop warming up. Say the thing.

  2. Build the cluster, not the keyword. Because of fan-out, one thorough page that genuinely covers a subject and its neighbours beats ten thin pages chasing variations. We have watched a single deep page on our site pull impressions for dozens of phrasings we never wrote for. Depth is the strategy. We lean on this hard in our content strategy work.

  3. Show your own evidence. Original data, screenshots, a number nobody else has. The model has infinite access to the generic answer. What it does not have is your first-hand result, and that is increasingly what gets a source picked.

  4. Fix the boring technical layer. If Googlebot and the AI crawlers cannot fetch and render your content cleanly, none of the above matters. Crawlability, fast pages, clean structure. This is unglamorous and it is non-negotiable, which is why technical SEO is still the floor everything else stands on.

  5. Earn the authority. Citations in Overviews skew toward sources with real off-site reputation. Links and mentions from places that matter still do the heavy lifting here. Nothing about AI changed that.

What is not on this list: llms.txt files, "AI Overview optimization" tools that promise a dashboard, and paying for a separate GEO audit that is your existing SEO audit with the find-and-replace run on it. We said our piece on the first one in llms.txt: useful standard or SEO theater, and the take has not aged a day.

Cyprus and the US get different answers

This matters and almost nobody splits it out, so we will.

In the US, AI Overviews are everywhere and the informational publishers are taking the full hit. If your traffic depends on ranking for "how to" and "what is" queries, the click math above is your daily reality and the citation game is genuinely worth playing, because being in the box is sometimes the only visibility left.

Cyprus is a quieter, later story, and that is an opportunity. AI Mode and Overviews rolled out across the US first and have been expanding through Europe since, so Cypriot searchers are seeing more of them every month. Our keyword data shows "google ai mode" interest in Cyprus up nearly 40 times year on year, off a small base. But the queries that pay a local business, the commercial ones like "seo agency cyprus" or "accountant limassol", still trigger Overviews far less often than informational searches do. Google is cautious about putting a generated answer on a query where someone is trying to hire or buy.

So the read differs by who you are. A Cyprus service business should not panic about Overviews eating its money queries, because they mostly are not. It should own the informational layer of its funnel, the questions clients ask before they hire, and make sure its commercial and local SEO foundations are genuinely strong, because that is where the clicks still flow. Our own Cyprus page racks up over 5,000 impressions for a single click, which tells us we have the visibility and have not yet earned the position. That is a ranking job, not an AI problem.

A US informational site has the opposite priority. For it, the box is the battle.

Our honest opinion: is it worth chasing?

Yes, but not as a separate project. That is the whole answer.

The mistake we keep seeing is treating "AI Overview optimization" as a new discipline with its own budget line. It is not. Everything that gets you cited, plain answers, real depth, first-hand evidence, clean technical foundations, genuine authority, is the same work that has always built strong organic performance. You do not need a new strategy. You need the existing one done properly, with the answer moved to the top of the page.

The thing actually worth changing is what you measure. Clicks alone now understate your reach badly, as our own 0.07 percent CTR proves. Impressions, citations, and brand visibility inside the answer are part of the scoreboard now, and a click is no longer the only outcome that counts. If you are still judging SEO purely on sessions, you are reading a 2026 search landscape with a 2018 ruler.

We help businesses in Cyprus and the US do exactly this work through our AI search optimization service, and the foundation under all of it is still ordinary, well-executed SEO. The label on the box changed. The work to get inside it did not.

If you want to go deeper on where AI search is actually heading, our breakdown of the AI search engine market share is the place to start. And if you would rather have someone just handle it, that is what we are here for.

John Kyprianou

John Kyprianou

Founder & SEO Strategist

John brings over a decade of experience in SEO and digital marketing. With expertise in technical SEO, content strategy, and data analytics, he helps businesses achieve sustainable growth through search.

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