For most of the last two decades, ranking well on Google meant one thing: getting a link into the top few positions of a results page, because that’s where the clicks were. That model is being disrupted. AI Overviews — Google’s AI-generated summaries that appear above traditional search results — now answer a large share of queries directly on the results page, and for local, service-based searches in particular, they’re reshaping what it actually takes to get found and chosen.
This isn’t a reason to panic, and it isn’t a reason to abandon SEO fundamentals — if anything, the fundamentals matter more now, not less. But it does mean the strategy needs to account for how AI Overviews actually pull and present information, rather than optimizing purely for the traditional blue-link results the way businesses have for the past twenty years.
What Changed: From Ten Blue Links to an AI Summary
When someone searches “best plumber near me” or “how much does a website redesign cost,” Google increasingly answers with a generated summary that synthesizes information from multiple sources, rather than simply listing links and letting the searcher click through to find the answer themselves. That summary often includes citations to a handful of source pages — but many searchers get the answer they needed directly from the summary and never click through to any site at all.
The practical effect is a smaller pool of clicks available for informational queries — questions people ask to learn something, not necessarily to buy something right away. This has genuinely reduced organic traffic for content built purely to answer basic informational questions. But it hasn’t reduced the value of ranking well; it’s shifted where the value comes from. Being cited as a source inside an AI Overview builds brand visibility and trust even without a click, and transactional and local-intent searches — where someone is ready to hire, buy, or visit — are far less likely to be fully satisfied by a summary alone, because the searcher still needs to choose a specific business and take action.
Why Local Search Behaves Differently
“Best plumber near me” and “web development company in [city]” are fundamentally different from “how does a heat pump work.” The searcher isn’t looking for an explanation — they’re looking for a specific, real business to contact, and that intent changes how AI Overviews and Google’s local results interact.
Local-intent searches still rely heavily on the traditional local pack (the map and three-listing block that appears for “near me” and city-specific searches) and on a business’s Google Business Profile, review count and rating, and NAP consistency (name, address, phone number matching across the web). AI Overviews for these queries, when they appear at all, tend to summarize general information about a category (what to look for in a good contractor, typical price ranges) rather than replacing the local pack outright. That means the fundamentals of local SEO — an optimized, active Google Business Profile, consistent citations, and a strong review profile — remain the primary lever for local visibility, even as AI Overviews reshape the broader informational search landscape.
What Actually Helps a Business Get Cited
Google’s AI Overviews pull from pages that clearly and directly answer the question being asked, in a format the system can extract cleanly. In practice, that rewards a specific kind of content structure more than it rewards keyword density or link volume alone:
Clear, direct answers near the top of a page — stating the actual answer plainly before elaborating — get cited more often than pages that bury the answer under three paragraphs of introduction. Structured content, using genuine headings, lists, and tables where appropriate, is easier for an AI system to parse and extract than a dense wall of text, even if both contain the same information. And specificity outperforms vague generalities: a page that states an actual number, process, or specific answer is more useful to summarize than one that hedges with “it depends” without ever getting more concrete.
None of this is new advice, exactly — good, clear, well-structured content has always been good for readers, not just algorithms. What’s changed is that this kind of content is now being directly rewarded (or penalized, if absent) by whether a business gets cited in the summary that a growing share of searchers see first.
Structured Data and Schema Markup
Schema markup — structured data embedded in a page that explicitly tells search engines what a piece of content is (a business’s hours, a product’s price, a review’s rating, an article’s author and publish date) — has become more valuable, not less, in an AI Overview world. Structured data reduces ambiguity for the systems generating these summaries, making it easier for them to extract accurate information from a page confidently rather than needing to infer it from unstructured text. Organization schema (business name, logo, contact information, founding details) also feeds into Google’s Knowledge Graph, which can influence whether a business’s own identity information appears correctly and prominently in search results, separate from the AI Overview mechanism itself.
Rethinking Content Strategy, Not Abandoning It
The businesses navigating this shift well aren’t writing less content — they’re writing more deliberately. Purely informational content that could be fully answered in a two-sentence AI summary (the kind of thin, generic “what is X” article that exists mainly to rank, not to genuinely help) is the category losing the most traffic, because it was already vulnerable to being replaced by a good summary. Content built around specific expertise, local knowledge, original data, or a genuine point of view is far more resistant, because it offers something a generic AI summary can’t fully replicate — a real answer grounded in real experience with real specifics attached.
For a local service business, this points toward a content strategy weighted more heavily toward location-specific pages (genuinely different content for each service area, not a template with the city name swapped out), case studies and specific project examples, and direct, practical answers to the exact questions potential customers are actually asking before they’re ready to hire — rather than broad, generic educational content competing with every other business’s version of the same article.
The SEO Fundamentals That Haven’t Changed
It’s worth stating plainly: technical SEO, page speed, mobile usability, secure hosting, a logical site structure, and genuine backlinks from relevant sites all still matter exactly as much as they did before AI Overviews existed. AI Overviews are a layer on top of the existing search and ranking system, not a replacement for it — a page still generally needs to rank well in the traditional sense to be considered as a source for an AI-generated summary in the first place. Businesses hearing “SEO is dead because of AI” and deprioritizing these fundamentals as a result are making a costly mistake based on a misreading of what’s actually changed.
Measuring Success in a World With Fewer Clicks
If organic traffic to informational pages declines while a business’s citations, brand searches, and local pack visibility hold steady or grow, that’s not a failure — it’s the expected shape of this shift, and treating raw pageview counts as the only success metric will lead to the wrong conclusions. Google Search Console still shows impressions even for queries where a click didn’t happen, and a page maintaining strong impressions while losing clicks is a signal that it’s likely being used as an AI Overview source, even without a way to confirm every citation directly. Tracking branded search volume, direct traffic, and local pack impressions alongside traditional organic click metrics gives a more complete, and more encouraging, picture of actual visibility than click-through rate alone.
The Practical Takeaway
Local and transactional searches — the ones that actually drive phone calls, form submissions, and foot traffic — remain closely tied to traditional local SEO fundamentals: Google Business Profile optimization, reviews, and consistent local citations. Informational content needs a sharper edge to stay valuable: direct answers, clear structure, genuine specificity, and real expertise that a generic AI summary can’t fully replace. And technical SEO fundamentals remain the foundation everything else is built on, not a legacy practice to abandon.
The businesses treating this moment as a reason to double down on genuinely useful, well-structured, locally specific content — instead of either panicking or ignoring the shift entirely — are the ones positioning themselves well for how search actually works now, not how it worked five years ago.