Key Takeaways
- AI Overviews measurably reduce clicks on informational queries — a small usability study reported by Search Engine Land saw desktop clicks roughly halve and mobile clicks fall about a third when an overview appeared.
- Commercial and local-intent searches are far more resilient, because an AI summary cannot dispatch a truck — the homeowner still has to pick and call someone.
- The exposure is concentrated: Seer found AI Overviews on 95.4% of comparison queries, 85.9% of question queries and 83.4% of price and cost queries, while short one- and two-word searches trigger them less often.
- Diagnose it properly in Search Console before reacting — compare impressions against clicks by query type, because flat clicks on rising impressions is a very different problem from falling both.
- The correct response is to shift informational content toward being cited rather than clicked, defend the commercial pages hard, and keep a demand-capture channel running that doesn't depend on the SERP at all.
Are Google AI Overviews killing contractor leads?
Not your leads — your blog traffic. AI Overviews significantly reduce clicks on informational searches, but the commercial and local queries that actually produce booked jobs are far less affected. A homeowner still has to choose a company and call it, and an AI summary cannot do the work.
That distinction is the entire article. If your traffic is down and your phone is fine, you have a content problem, not a business problem. If your phone is genuinely quieter, AI Overviews are probably not the main cause and you should look at your local pack position, your review velocity, seasonality, and your paid channels before blaming Google's summaries.
How much traffic do AI Overviews actually take?
Enough to matter on informational queries. Ahrefs' 2025 study of 300,000 keywords found a significant CTR decline for top-ranking organic results when an overview appeared, and a small usability study covered by Search Engine Land saw desktop clicks roughly halve and mobile clicks fall about a third.
The picture is not uniformly bleak, though, and the honest version includes the counter-evidence. Seer Interactive's 2026 update found impressions growing much faster than clicks (so CTR looks worse even where clicks held up), and organic CTR on queries without an overview actually improved, climbing from around 2.8% in January 2025 to roughly 3.8% by February 2026. In other words: the queries Google doesn't summarize became more valuable, not less.
Scroll sideways to see the full table →
| Source | Finding | What it means for a contractor site |
|---|---|---|
| Ahrefs (2025, 300k keywords) | Significant CTR drop for position-one results on informational queries when an AI Overview is present | Your cost guides and how-to posts lose clicks even at rank 1 |
| Search Engine Land (small usability study) | Desktop clicks roughly halved; mobile clicks down about a third | Desktop-heavy research traffic is hit hardest |
| Seer Interactive (2026) | Impressions grew much faster than clicks | You're being seen more without being clicked more — visibility shifted, it didn't vanish |
| Seer Interactive (2026) | Non-AI-Overview query CTR rose from ~2.8% to ~3.8% | Queries Google doesn't summarize are now worth more per impression |
Be careful with any single headline number here. These studies use different samples, industries, and methodologies, and none of them is specifically about home services. Treat them as directional evidence of a real effect, not as a forecast for your site.
Which of your pages are most exposed?
The question-shaped ones. Seer Interactive's April 2026 analysis found AI Overview prevalence varies enormously by query type: they appeared on 95.4% of comparison queries, 85.9% of question queries and 83.4% of price and cost queries. Short, head-term searches like 'plumber' or 'roof repair' trigger them far less often.
Scroll sideways to see the full table →
| Query type | AI Overview rate | Typical contractor page at risk |
|---|---|---|
| Comparison (X vs Y) | 95.4% | "metal roof vs shingles" comparison posts |
| Questions (what / why / how) | 85.9% | How-to and process explainers |
| Price / cost / buy | 83.4% | Cost guides — often a big share of a contractor site's search traffic |
| Short head terms | Lower | "plumber", "roof repair", "AC installation" |
'Near me' searches can show an AI Overview too, but Google layers it on top of local results rather than replacing the map pack. Your local pack position and Google Business Profile still drive the calls; the overview sits above them, not instead of them.
Why do 'plumber near me' searches behave differently from 'how much does a new roof cost'?
Because one has an answer and the other has an action. An AI summary can fully satisfy 'what does a roof cost' — the searcher wanted a number and got one. It cannot satisfy 'plumber near me', because the searcher wants a person at their house, and that requires clicking, calling, or booking.
This is the structural reason local service businesses are better insulated from AI summarization than publishers. Your money queries end in a transaction that only a human business can complete. What you lose is the top-of-funnel research audience you were capturing with cost guides — real value, but not the same thing as losing leads.
- Resilient: '[trade] near me', '[trade] in [city]', 'emergency [trade]', branded searches, 'book/schedule [service]'.
- Exposed: 'how much does X cost', 'X vs Y', 'how long does X take', 'do I need a permit for X', 'best X for Y'.
- Mixed: 'best [trade] in [city]' — an overview usually appears, but it frequently names specific local businesses, which is an opportunity rather than a loss if the named business is you.
How do you tell if AI Overviews are actually hitting you?
Compare clicks against impressions by query type in Search Console. The AI Overview signature is impressions holding steady or rising while clicks fall on informational queries, with commercial and branded queries roughly unchanged. If clicks and impressions both collapse, something else is wrong.
A 20-minute Search Console diagnostic
- Open Performance and compare the last 6 months against the same period last year. Note total clicks, impressions, and average CTR.
- Filter queries containing 'how', 'what', 'cost', 'vs', and 'best'. This is your exposed bucket — check CTR here specifically.
- Filter queries containing 'near me' and your city names. This is your resilient bucket. Compare its trend against the exposed bucket.
- Filter branded queries (your company name). If branded impressions are rising, AI-assisted discovery may be sending people to look you up by name — that's a win hiding in your data.
- Check the pages report: is the decline concentrated in blog and guide URLs while service and location pages hold? That pattern is the AI Overview signature.
Before concluding anything, rule out the boring explanations: seasonality (every trade has one), a site migration, a Core Web Vitals regression, losing the local pack for a key term, a competitor's new location pages, or a Google core update in the same window. Traffic analysis without ruling these out produces confident wrong answers.
What should you actually change?
Stop optimizing informational content for clicks and start optimizing it for citation — while defending the commercial pages that still convert. The goal for a cost guide is no longer a session; it's being the source the summary quotes and the name the reader remembers.
For exposed informational pages
- Rewrite answer-first: question heading, complete answer in 40-60 words, then the detail. Quotable passages get cited; meandering ones get skipped.
- Add specifics an AI can't paraphrase away — local price ranges, permit realities in your county, real timelines, named materials and brands.
- Put your brand and locality inside the answer text itself, so a citation carries your name rather than a generic fact.
- Add a genuine reason to click beyond the answer: a calculator, a checklist, a local cost table, photos of your actual work.
- Stop publishing generic national-average content. It is exactly what a model can synthesize without you.
For commercial and local pages
- Defend the local pack: Google Business Profile completeness, review velocity, correct categories, service-area accuracy.
- Keep city and service pages substantive — real local proof, not templated copies with the city name swapped.
- Make booking frictionless. A larger share of your remaining clicks now arrives further down the funnel and ready to act.
- Track calls and form fills, not sessions. Session count is now a worse proxy for business health than it was two years ago.
Where to go deeper
- How to get recommended by AI search
The strategy side: getting named by ChatGPT, Gemini, and Perplexity.
- Contractor website AI-search checklist
The technical side: crawlers, schema, and what to skip.
- Google Business Profile optimization
Defending the local pack, which AI Overviews sit on top of.
Does this change how much you should spend on ads?
It raises the value of channels that don't depend on the SERP. If a slice of your organic research traffic is now being answered before the click, paid social and paid search become a larger share of predictable lead flow — not because ads got better, but because one substitute got less reliable.
The honest caveat: this is a reason to keep demand capture funded, not a reason to panic-buy more of it. Ad spend that wasn't profitable before AI Overviews is not profitable now. Run the same cost-per-booked-job math you always should, and let that decide the number. The strategic shift is in reliability and mix, not in the arithmetic.
One underrated second-order effect: as AI-assisted research grows, more of your paid clicks arrive from people who already researched the category. They ask better questions, they compare faster, and they're less tolerant of vague pricing. A generic discovery script can feel slow to a buyer who has already done the research; meet them where they are.
Is it still worth writing blog content at all?
Yes — but for different reasons than three years ago. Content now earns citation, trust, and sales-cycle leverage more than it earns sessions. A cost guide that gets quoted by an assistant and read by a homeowner before your estimate call is doing real work, even if analytics never records the visit.
- Citation value: being the source an AI quotes puts your name in front of buyers you'll never see in analytics.
- Sales enablement: linking a prospect to your own permit or process explainer shortens estimate calls and pre-frames objections.
- Entity building: depth across your trade and your service area is what makes models confident enough to name you specifically.
- Conversion support: a homeowner comparing three quotes reads all three companies' content. Yours should be the clearest.
- The thing to stop doing is volume-for-volume's-sake publishing on national-average topics with nothing local or specific in them.
Next steps
- Meta Ad Management
Demand capture that doesn't depend on the SERP.
- CPL benchmarks by trade
Check your cost per lead against real ranges before changing budget.
- Apply to work with us
A short application, if you want Meta ads running alongside organic.
Sources
The public studies behind the figures on this page, with what each one was used for.
- 1Seer Interactive — AIO Impact on Google CTR: 2026 Update
April 2026. Non-AI-Overview organic CTR rose from about 2.8% (Jan 2025) to 3.8% (Feb 2026) while impressions grew faster than clicks; AI Overview prevalence by query type (comparison 95.4%, question 85.9%, price/cost 83.4%). Checked against secondary reporting, not the report itself.
- 2Ahrefs — AI Overviews Reduce Clicks
2025 · 300,000 keywords. Lower average click-through for the top-ranking page when an AI Overview appears. Checked against secondary reporting, not the study itself.
- 3Search Engine Land — Most users only read a third of Google's AI Overviews: Study
2025 · Usability study of about 70 US searchers. Desktop clicks roughly halved and mobile clicks fell about a third when an AI Overview appeared. A small sample; checked against the article summary, not the underlying study.