This article gives a direct, data-backed answer to what AI Overviews are actually doing to organic search, which queries they dominate and which they do not, what changes in SEO practice as a result, and what does not.
The direct answer
Google AI Overviews are reshaping SEO in three specific ways.
The first is CTR reduction for informational queries where they appear. A user who gets a synthesised answer at the top of the page is less likely to click an organic result than one who sees a traditional list of links. This is not speculation. It is consistent with what CTR data from multiple tracking studies has shown since AI Overviews launched broadly in mid-2024.
The second is that they do not eliminate SEO. The queries AI Overviews dominate most heavily, definitional, how-to, and explanatory informational content, represent one segment of the search landscape. Commercial queries, transactional queries, and local service queries, which are often the highest-value traffic for businesses, see AI Overviews far less frequently. Traditional ranking in the organic list and the map pack remains the primary mechanism for capturing that traffic.
The third is that being cited inside an AI Overview is itself an SEO outcome worth pursuing. A site that appears as a named source in an AI Overview for a competitive query is gaining brand exposure at the top of the SERP, ahead of the organic results. That citation drives branded search and direct traffic. The practical response to AI Overviews is not to treat them as a threat to avoid but to optimise for being inside them.
What the data shows so far
The CTR impact of AI Overviews is not anecdotal. Multiple studies from tracking firms with access to large-scale search data have reached consistent conclusions.
BrightEdge, which tracks ranking and click data across a broad panel of enterprise sites, has reported that AI Overviews are appearing on a significant share of informational queries and that CTR for those queries is declining. Their data shows the effect is concentrated in the informational category and is substantially lower on commercial and local queries.
Semrush’s analysis of AI Overview prevalence found that informational query types trigger AI Overviews at rates considerably higher than navigational, commercial, or transactional queries. Their data on which content categories are most affected aligns with what is visible to any practitioner doing manual query testing.
Authoritas published analysis showing that pages appearing in AI Overview citations do not always correspond to the top organic ranking position. Pages ranked in positions four through ten are frequently cited in AI Overviews when their content is structured to answer the query directly. This is a significant finding: ranking position and citation probability are correlated but not identical. Structured, directly answering content can get cited from a mid-page position. Poorly structured content at position one may not get cited at all.
The framing from this data: ranking and citation are now two separate outcomes. Traditional SEO optimises for ranking. AEO optimises for citation. The sites that perform best in this environment build for both, because the traffic and brand value come from both.
The queries AI Overviews dominate, and those they do not
The query distribution is the most practically useful thing to understand, because it tells you where your traffic is most exposed and where it is not.
Informational queries have the highest AI Overview prevalence by a significant margin. Queries that ask what something is, how something works, or why something happens are the primary trigger for AI Overviews. If a large share of your organic traffic comes from this query type, your exposure is real and worth acting on.
Commercial and transactional queries see AI Overviews far less frequently. A user searching for a product to buy, a service to hire, or a comparison between options needs to complete an action that AI Overviews cannot substitute for. These queries still route users to organic results and paid listings. The click value of ranking well on commercial queries has not diminished.
Local service queries are an interesting middle case. AI Overviews do sometimes appear on local queries, but the map pack, which is the Google Business Profile listing block, remains the dominant surface for local service intent. A search for “dentist Austin” or “emergency plumber near me” is still primarily won through local SEO: Google Business Profile optimisation, local citation consistency, and review signals. AI Overviews are not displacing the map pack on local queries in the way they are displacing organic links on informational ones.
YMYL queries (health, finance, legal) are treated more cautiously by Google’s AI Overview systems. Google has acknowledged the heightened responsibility that comes with AI-generated answers on these topics. AI Overviews appear on some YMYL queries but with lower prevalence and more prominent source citation than on general informational queries. Local organic results and the map pack continue to dominate for local YMYL businesses.
What changes in SEO practice
The adjustments AI Overviews require from SEO practitioners are real, but they build on existing best practice rather than replacing it.
Content depth and structured formatting
The gap between content that ranks and content that ranks and gets cited is increasingly a function of structure. A page that answers the target question directly in the first paragraph, uses clear H2 and H3 headings that correspond to query formats, and has self-contained, extractable answer paragraphs throughout is a better SEO investment than a page of the same length that buries the answer and relies on keyword density alone. This is an intensification of existing good practice, not a reversal of it.
Schema markup
FAQPage schema is one of the most direct citation surfaces available. AI Overviews frequently extract from FAQPage-marked content. HowTo schema, LocalBusiness schema, and Article schema with proper author attribution each serve specific citation functions. Sites in competitive categories that have not implemented structured data are leaving citation probability behind alongside the featured snippet potential they have always missed.
Topical authority clusters
A site with one strong page on a topic competes adequately for that keyword’s ranking. A site with twenty interconnected, high-quality pieces on a topic signals topical authority to both Google’s ranking systems and its AI citation systems. AI engines build entity-topic associations across multiple signals. A robust content cluster strengthens those associations in a way that a single optimised page does not.
E-E-A-T signals
Google’s Experience, Expertise, Authoritativeness, and Trustworthiness framework has always applied more strongly to YMYL content. In an AI Overview environment, E-E-A-T signals are a differentiating factor across content categories, not just sensitive ones. Named authors with relevant credentials, first-person experience content, original data, and verifiable expertise all improve citation probability. Generic content from unnamed authors does not compete effectively against credentialed, experience-grounded alternatives.
What does not change in SEO
Amid genuine change, the core of what makes SEO work has not shifted.
Technical SEO fundamentals
A page that is not crawlable is not citable. Page speed is a confirmed ranking factor and a citation prerequisite. Correct indexation, clean site architecture, and a functional technical foundation are as necessary for AI citation as they are for organic ranking. No amount of content restructuring compensates for a site that AI crawlers cannot reliably access.
Link authority
The AI systems that power Google’s AI Overviews draw on Google’s existing signals about which sources are authoritative. Those signals include link equity. A page from a high-authority domain, all else being equal, is more likely to be selected as a citation source than an identical page from a low-authority domain. Link building remains a meaningful SEO investment for citation probability as well as ranking.
Local SEO
The map pack is the primary surface for local service intent, driven by Google Business Profile signals, local citation consistency, and review data rather than by the content signals AI Overviews respond to. Local businesses whose primary traffic comes from map pack placement are less directly affected by AI Overview changes than content publishers. Local SEO practice does not fundamentally change as a result of AI Overviews.
Content quality
AI engines do not cite incoherent, factually unreliable, or poorly written content. The bar for content quality is not lower in an AI Overview environment. It is higher in the sense that content now has to satisfy both human readers and AI extraction systems. Content that reads well and answers questions clearly satisfies both simultaneously.
The integrated SEO and AEO response
Treating SEO and AEO as separate workstreams creates inefficiency and misses the compounding value of building for both at once.
The technical foundation is shared: crawlability, page speed, indexation, and domain authority serve both ranking and citation. The content quality standard is shared: well-written, accurate, authoritative content performs better in both systems. The differences are at the structural and schema level. AEO requires direct-answer structure, FAQPage and relevant schema types, explicit entity coverage, and content cluster depth that pure keyword-targeting SEO does not always include.
A combined SEO and AEO content audit asks two questions about each page on a site. Is this page positioned to rank competitively for its target queries based on technical health, content quality, and link signals? Is this page positioned to be cited in AI Overviews based on answer structure, schema implementation, and topical depth? Most pages will have gaps in one or both. The audit surfaces those gaps and prioritises fixes by the commercial value of the traffic at stake.
AnswerEnginee builds this integrated approach into every client programme. Run the free audit to see how your site is positioned for both Google rankings and AI citation.
Frequently asked questions
Will AI Overviews kill SEO?
No. AI Overviews change the goal of SEO for certain query types, but they do not eliminate organic search as a traffic and visibility channel. Commercial, transactional, and local service queries, which are often the highest-value traffic for businesses, retain clicks because AI Overviews do not complete the user’s intent on those queries. The map pack remains the dominant surface for local intent. What AI Overviews change most significantly is the value of generic informational content with no differentiation, which faces real CTR decline. SEO that builds topical authority, structured content, and citation-worthy pages is more valuable in an AI Overview environment, not less.
Which websites are losing traffic from AI Overviews?
The sites with the highest exposure are those whose organic traffic is concentrated in generic informational queries: how-to guides, definition articles, FAQ-style content, and explanatory posts that answer common questions with no original angle. Large content publishers, health information sites, general knowledge blogs, and any site that built traffic by covering broad informational topics without proprietary data or expert perspective are most exposed. Sites with traffic concentrated in commercial, local, or transactional queries are comparatively more protected. The degree of impact depends on query mix: a site where 80% of traffic comes from informational queries faces a very different exposure than one where 80% comes from commercial queries.
How do I rank in Google AI Overviews?
Getting cited as a source in Google AI Overviews depends on several factors working together. Content should directly answer the target question in the first paragraph or in a clearly marked early section. FAQPage and relevant schema markup should be implemented. The domain should have established topical authority for the subject matter. The content should have meaningful differentiation from competing pages, whether through original data, expert authorship, first-person experience, or depth that alternatives do not offer. Pages with indexing errors, slow load times, or crawlability issues are deprioritised as citation sources regardless of content quality. Ranking well in traditional organic search for the query also improves citation probability, since AI Overviews draw primarily from the top of the organic index.
Does traditional SEO still work with AI Overviews?
Yes, and it matters more than before for certain outcomes. Commercial and local queries are still primarily competed for through traditional ranking signals: content quality, link authority, technical health, and for local queries, Google Business Profile signals. AI Overviews have not displaced these mechanisms on these query types. What has changed is that ranking well for informational queries is no longer sufficient to guarantee clicks. A page at position one for an informational query that triggers an AI Overview receives fewer clicks than it did before AI Overviews. The response is to optimise for both the ranking position and for being the cited source inside the AI Overview, which requires the structural and schema work AEO adds to traditional SEO practice.
How do I protect my SEO traffic from AI Overviews?
Protection comes from two directions. First, identify your query exposure: use Google Search Console to find which of your organic keywords are informational queries, then manually test which are triggering AI Overviews. Queries where AI Overviews appear are where CTR is at risk. Second, address the exposure through content and structure: restructure high-value informational pages to lead with direct answers and implement FAQPage schema. This improves your probability of being cited in the AI Overview rather than displaced by it. For your highest-traffic informational content, the goal is to shift from being the result that gets skipped because the AI Overview answered the question, to being the cited source inside the AI Overview that users see and remember.
