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For most of the last decade, SEO meant one thing. Rank on Google, get the click and pray the visitor converts. That model is breaking in public, and small business owners are among the last to notice.
A Pew Research Center study of real browsing behavior found that when a Google search produces an AI summary, users click through to a traditional result just 8% of the time, compared with 15% when no summary appears. In other words, the study shows that when Google shows AI-generated answers, people are far less likely to click through to websites and are increasingly getting the information they need directly from the search results instead of visiting your site. Similarweb data shows zero-click searches have jumped from 56% to 69% in about a year. The buyer may never visit your site at all.
I work with small businesses every week that are still optimizing for a search landscape that does not really exist anymore. Here are three mistakes I see most often, and what to do instead.
Writing pages for search engines instead of extractors
Traditional SEO rewarded long pages stuffed with variations of a keyword. The crawler counted, weighed and ranked. AI answer engines work differently. They read your page looking for a self-contained, extractable answer to a specific question and then quote that chunk, often word for word, to the person who asked.
If your page buries the answer in paragraph 14, under a subhead about “our story,” the engine will skip past you in favor of a competitor whose page delivers the answer in plain English near the top. Think of it as writing for someone who is going to read only one paragraph of your entire site and decide whether you are the source worth citing.
The fix is a shift in structure, not in volume. For every important question your customers ask, write a two-sentence answer that can stand alone. Put it near the top of the relevant page. Let the deeper content live underneath, for readers and bots who want the long version.
Treating your own site as the only place your brand lives
Here is something that surprises most clients. Large language models are not just reading your site. They are synthesizing an answer from many sources at once, including directories, review platforms, press mentions, community forums, industry blogs, Wikipedia and anywhere else your name appears.
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