The content audit spreadsheet had 340 pages in it. Of those, 280 were informational: how-to guides, comparison posts, definition articles, FAQ pages, the full range of what most content strategies are built around. They were ranking. Positions two through eight for most of them, solid technical SEO, decent internal linking. The organic traffic column told a different story. Those 280 pages were producing less combined traffic than the sixty product and category pages sitting beneath them in the spreadsheet.
The client wanted to know if we should write more content. I told her we should stop.
The 3% figure, that Google serves AI Overviews on only around 3% of e-commerce and transactional queries while serving them on roughly 99% of informational queries, is not a piece of trivia. It is the most structurally significant data point to come out of SEO research this year, and most content strategies being run right now are built as if it does not exist.
The logic behind it is not complicated once you see it. Google makes its money from commercial intent. Every time someone searches "buy running shoes" or "HVAC repair near me" or "accounting software pricing," the traditional SERP with its ads, its organic listings, its shopping panels, is a revenue-producing surface. Google has very little incentive to replace that surface with an AI Overview that short-circuits the commercial transaction. For informational queries, the calculation is different. Someone asking "how does compound interest work" or "symptoms of vitamin D deficiency" or "what is a canonical tag" is not generating ad revenue at the moment of that search. Replacing that result with an AI Overview costs Google almost nothing commercially and makes the product feel smarter. So that is what Google does, at 99% frequency.
Image credit: Screenshot from "SEO in 2026: How I'd Rank in Google in the AI Era" by Ahrefs on YouTube (https://www.youtube.com/watch?v=tiW6xRYSXmM).
What this means in practice is that the traffic model underlying most content strategies, write informational content to build topical authority, rank for those queries, attract visitors at the top of the funnel, then convert them downstream, is breaking at the second step. The ranking is happening. The traffic is not arriving, because the click is going to the AI Overview. The topical authority argument still gets made, and I understand why: the idea is that Google uses your content to understand your expertise even if it does not send you the click. That argument is not entirely wrong, but it is getting weaker. Authority that produces no engagement signals over time is authority that starts to fade.
Here is where I got it wrong. For a SaaS client last year, I built out an informational content cluster around their core topic: twelve articles, properly structured, genuinely useful, well-linked between each other and into the product pages. Rankings came within three months, positions four through nine across the cluster. Traffic came too, initially. Then the AI Overview rate for those queries climbed, and by month five, six of the twelve articles had effectively zero click traffic despite holding their positions. The conventional model said ranking would bring traffic. The ranking held. The traffic left. The product pages I had been treating as the downstream destination had to become the primary investment from that point forward.
The content strategy correction is not complicated to state, though it is uncomfortable for a lot of SEOs to say out loud because a large portion of the industry is built on selling informational content production. Product pages, category pages, local service pages, comparison pages, and pricing pages sit almost entirely inside that 3% zone where AI Overviews rarely appear. These are the pages that still produce ranked lists, still produce clicks, still produce conversion opportunities from organic search. They are also the pages that most small business SEO engagements treat as secondary to the blog.
Stop treating your transactional pages as the thing your content strategy leads to. They are the content strategy. The blog exists to support them, not to attract traffic independently. If your current content plan is producing informational articles that rank well and send almost no one to your product pages, you are not building an SEO asset. You are building a very organized way to donate your time and money to Google's AI training data.
The audit question that matters right now is not how many pages you have ranking. It is what percentage of your ranking pages exist in query categories where a click is still physically possible to receive.
Waleed Qamar holds a BSc in Computer Science from Purdue University and has spent the years since turning that technical foundation into something the curriculum never covered: figuring out why websites rank, why they fall, and why most businesses never find out until it is too late.
Pakistan-born and based between the United States and South Asia, he has managed search visibility for e-commerce stores, local service businesses, and SaaS startups across two continents. He started in SEO when guest posting still worked, survived the Penguin update, and has rebuilt client sites from scratch after algorithm hits more than once.
He has watched good businesses get sold packages that looked like progress and delivered nothing lasting. He has also seen the right approach quietly double a site’s traffic without a single press release about it.
His writing on SEO By Highsoftware99 covers Google algorithm updates, autocomplete optimization, semantic SEO structure, and the widening gap between what agencies promise and what Google actually rewards in 2026.
He knows what a traffic cliff looks like in Search Console on the morning you discover it.