Your rankings may be stable. Your impressions may even be rising. Yet organic visits are falling.
For many businesses, that gap is no longer a tracking error. It is the search result itself.
Google’s AI Overviews can answer an informational query before the user reaches a traditional blue link. The searcher learns the definition, sees a shortlist, follows a process or compares options directly on Google. A click that once went to a publisher or business website may never happen.
The headline number is difficult to ignore: a Seer Interactive study found that organic click-through rate for the informational queries it tracked fell 61%, from 1.76% in June 2024 to 0.61% in September 2025, when an AI Overview appeared. A February 2026 Ahrefs rerun, using a different method and keyword sample, estimated 58% lower position-one CTR for queries with an AI Overview.
That does not mean every site will lose exactly 58% or 61% of its clicks. It means the old assumption — rank higher and receive roughly the same share of clicks — has become unreliable.
The 2026 fix is not to abandon SEO. It is to redesign SEO around three outcomes:
The 61% figure comes from Seer Interactive’s analysis of 3,119 informational and educational search terms across 42 client organizations. The dataset included 25.1 million organic impressions and tracked performance from June 2024 through September 2025.
For queries with an AI Overview, average organic CTR moved from 1.76% to 0.61%. Seer also reported that queries without an AI Overview declined by 41% over the study period, suggesting that AI Overviews are an important part of a wider shift — not the only reason people click less.
Other research reinforces the direction of travel:
| Research | Dataset or method | Key finding | What it tells a small business |
|---|---|---|---|
| Seer Interactive, November 2025 | 3,119 informational queries, 42 organizations, 25.1M organic impressions | CTR for tracked AIO queries fell 61%, from 1.76% to 0.61% | Informational visibility can remain while visits shrink |
| Ahrefs, February 2026 | 300,000 keywords and aggregated Search Console data | An AI Overview correlated with 58% lower average position-one CTR | A top ranking no longer protects the historical share of clicks |
| Pew Research Center, July 2025 | 68,879 Google searches from participating U.S. adults | Traditional-result clicks occurred on 8% of visits with an AI summary versus 15% without one | Many users stop or continue searching without visiting a source |
| Seer citation comparison | Queries segmented by whether the brand was cited | Cited queries were associated with 35% higher organic CTR in Q3 2025 | Citation visibility may help, although the study does not prove causation |
These studies use different samples, periods and definitions. They should not be collapsed into one universal benchmark. The credible conclusion is narrower: AI summaries are materially changing click behavior, especially for informational searches.
Definitions, short processes, basic comparisons and broad recommendations are easy for a search engine to summarize. When the overview satisfies the immediate question, the user has little reason to open five sources.
An AI Overview can occupy substantial screen space, particularly on mobile. Even a number-one organic result may appear after the summary, citations, follow-up prompts, ads or other search features.
Google’s generative features can use query fan-out: the system expands one prompt into related searches, retrieves supporting material and assembles a broader answer. The customer may explore several follow-up questions without following the traditional sequence of query, click, read and return.
Some informational visits were valuable first touches. Others were people collecting a fact and leaving. AI Overviews remove both. That can make traffic charts look worse while the remaining visitors become more commercially motivated.
This is why clicks alone are no longer enough. The business must examine leads, bookings, calls, revenue and assisted discovery — not simply the total number of sessions.
Do not rebuild the content strategy around a guess. A click loss can also come from seasonality, a ranking change, technical errors, stronger competitors, a redesign, a tracking problem or declining demand.
Use this diagnostic sequence:
Google introduced dedicated generative AI performance reports in Search Console in June 2026. The early rollout shows generative-feature impressions, visible pages, countries, devices and dates for participating sites. If the report is not yet available in your property, use normal Search Console data plus a consistent manual query sample. Do not rely on a one-off screenshot — the result can vary by user, location, device and time.
For context on how AI search changes discovery, see GEO vs. SEO: What Small Business Owners Actually Need to Know in 2026.
Classify important queries into three groups:
Do not stop answering early-stage questions. Reduce the expectation that every answer query must generate large traffic. Invest more heavily in evaluation and action pages that connect discovery to a real business decision.
If your page merely restates the answer shown in the AI Overview, the searcher has no reason to visit it.
A click gap is useful value the summary cannot fully deliver. Examples include:
The summary can explain what. Your page should help the reader decide, calculate, verify or implement.
Google’s 2026 guidance emphasizes valuable, non-commodity content: original experience, unique viewpoints and information that does more than recycle existing pages.
For a small business, this does not require a large research department. It can mean:
An AI system can summarize common knowledge. It has more reason to cite a page that contributes a specific fact, process, example or point of view.
Write for the reader first, then remove unnecessary friction.
For each major question:
This is not “writing for robots.” It is good information design. Clear sections help people scan, help search systems understand the page and make individual passages easier to reference accurately.
Avoid manufacturing hundreds of near-duplicate pages for every keyword variation. Google explicitly warns that scaled content created primarily to manipulate rankings or generative answers can violate spam policies.
AI visibility still depends on the searchable web. Google says pages must be indexed and eligible to appear with a snippet to be considered for its generative search features.
Check that:
There is no special AI schema that guarantees inclusion. Google also says llms.txt is not required for Google Search and does not improve visibility in its generative features. Spend the technical budget on crawlability, indexing, page experience and accurate business data first.
AI answers can draw on multiple sources. A business claim becomes more credible when customers, partners, associations and reputable publications support it.
Build authentic corroboration through:
Do not buy fake reviews or create low-quality mentions purely for AI visibility. Google’s guidance specifically advises against inauthentic mentions.
The title now competes with a summary that may already reveal the basic fact. Generic copy such as “What Is CRM Software?” has little pull once the definition is visible.
Promise a useful second step:
Keep the promise honest and make sure the page delivers it. Measure CTR changes by query group rather than changing every title at once.
Track four layers:
| Layer | Useful measures |
|---|---|
| Search visibility | Impressions, rankings, indexed pages, local visibility |
| AI-assisted visibility | Generative-feature impressions where available, cited pages, recurring brand mentions, description accuracy |
| Qualified engagement | Clicks by intent, engaged sessions, service-page visits, return visits |
| Business outcomes | Calls, forms, booked meetings, trial starts, sales-qualified leads and revenue |
The aim is not to celebrate visibility that never influences a customer. It is also not to discard a channel simply because some journeys no longer produce a measurable first click.
Add a “How did you hear about us?” field to lead forms or qualification calls. AI-assisted discovery often ends in a branded search or direct visit that analytics attributes elsewhere.
An article can build awareness, support internal links, earn citations and answer objections even if its direct traffic falls. Prune or merge pages because they are inaccurate, duplicative or unhelpful — not solely because an AI Overview appears.
No file, schema type, prompt formula or word count guarantees an AI Overview citation. Treat tools as measurement aids, not access to a hidden ranking system.
If an article can be generated without your experience, evidence or judgment, it is easy for competitors and answer engines to replace. Use AI to assist research, structure and editing; keep a human responsible for the claims and usefulness.
A citation is visibility, not revenue. The page still needs a clear next step, fast load time, credible proof and an offer aligned with the query.
The difficult part of adapting to AI search is not understanding one tactic. It is maintaining the operating rhythm.
A trained virtual assistant can support the recurring work behind the strategy:
The business owner supplies the expertise. The VA keeps the research, publishing and measurement process moving.
For help choosing what to delegate first, see What Every Entrepreneur Should Outsource First.
AI Overviews are reducing organic clicks on many informational queries. The exact loss varies, but the old traffic model has changed enough that waiting for normal CTR to return is not a strategy.
The answer is not less SEO. It is more disciplined SEO:
Rankings still matter. Citations matter. Clicks matter. But in 2026, none of them should be managed in isolation.
For the broader framework behind this shift, read GEO vs. SEO: What Small Business Owners Actually Need to Know in 2026.
No. They are changing how SEO creates value. Informational pages may receive fewer clicks, while commercial, local and action-oriented searches still create demand. SEO also supports eligibility for Google’s generative search features because those systems rely on crawlable, indexed web content.
No universal percentage applies to every query or website. Multiple studies show substantial average declines, particularly for informational searches, but the effect varies by intent, ranking position, industry, country, device, brand authority and whether the site is cited.
Start with normal SEO fundamentals: crawlable pages, clear structure, useful original content and accurate business information. Add first-hand evidence, direct answers, examples, limitations, strong internal links and value that gives a user a reason to visit the page.
Seer Interactive found that cited queries were associated with 35% higher organic CTR in its Q3 2025 comparison. The researchers cautioned that the data does not prove citation caused the increase; stronger brands and content may be both more likely to earn citations and clicks.
llms.txt or special AI schema?Not for Google Search. Google’s 2026 guidance says it does not use llms.txt for Search and requires no special structured data for generative AI features. Use supported schema where it accurately describes visible content, but do not treat it as an AI-citation switch.
Google began rolling out dedicated generative AI performance reports to a subset of sites in June 2026. The reports show impressions, visible pages, countries, devices and dates. If the report is unavailable, combine standard query-level Search Console trends with a repeatable manual sample.
Yes, when it supports a real customer journey. Prioritize content with original experience, useful tools, decision support, commercial relevance or strong internal-link value. Merge or remove pages that are outdated, duplicative or too generic to help a customer.
Research describes averages across specific datasets, not a guaranteed result for every website. Search interfaces and reporting features change frequently; verify current guidance before implementation.



