Key Takeaways
- AI Overviews now appear on 68% of local business-type queries, versus 39% for the traditional local pack (Whitespark, 2026).
- 45% of consumers say they use ChatGPT or another generative AI tool for local business recommendations — up from 6% a year earlier (BrightLocal Local Consumer Review Survey 2026, n=1,002 US adults).
- Roughly 77% of the sources cited in AI answers about a brand are off-page — directories, reviews, forums, video — not the brand's own website (Omniscient Digital analysis of 23,000+ citations).
- Adding JSON-LD schema produced no measurable change in AI citations across 1,885 tracked pages, and none of the five major AI systems read JSON-LD when fetching a page live (Ahrefs, 2026).
- 97% of published llms.txt files received zero requests in May 2026 across 137,210 domains (Ahrefs, 2026).
AI answers now sit above the results for most local searches. AI Overviews appear on 68% of local business-type queries against 39% for the local pack, 45% of consumers report using a generative AI tool to find local businesses, and roughly 77% of the sources those answers cite are off-page rather than the business's own website. The 55 statistics below are grouped by the decision each one should inform, and every figure names the study it came from.
How to read this page: each figure names the organization whose research produced it. Where a number reached us through an aggregator rather than the original report, the aggregator is named too. Nothing here is Elev8 proprietary data — we have no AI-citation dataset of our own and won't pretend otherwise. Statistics we could not trace to a named, checkable source were left off this page rather than rounded up.
How often do AI answers appear in local searches?
Prevalence is the first question and the one with the clearest data. AI answers are not an edge case in local search — they are the default surface for anything phrased as a question.
- AI Overviews appear on 68% of local business-type queries — Whitespark, 2026 (reported via Search Engine Journal).
- The traditional local pack appears on 39% of those same searches — a 29-point gap in favour of the AI answer — Whitespark, 2026.
- 92% of informational local queries trigger an AI Overview — Whitespark, 2026.
- 97% of hybrid-intent local searches — part question, part 'who does this near me' — trigger one — Whitespark, 2026.
- Simple transactional local queries trigger AI Overviews least often and still favour the local pack — Whitespark, 2026.
- Over 88% of all searches that trigger an AI Overview carry informational intent — Semrush, 2025.
- Over 68% of the terms that trigger AI Overviews get 100 or fewer monthly searches — Semrush, 2025.
- Google AI Overviews reach roughly 2 billion monthly users — Google, 2025 (cited by Semrush).
- Across 10M+ tracked keywords in 2025, AI Overview prevalence rose from ~6.5% in January to a ~24.6% peak in July before settling near 15.7% in November — Semrush, 2025.
The 68% and 88% figures together explain a pattern contractors keep noticing: 'how much does a new roof cost' gets swallowed by an AI answer, while 'roofer near me' still returns a map pack and a phone number. Informational content is where the exposure is. Booking intent is where it is not — yet.
Are homeowners actually using AI assistants to find contractors?
Prevalence in the results page is one thing; consumer behaviour is another. The strongest data point here is BrightLocal's annual survey, which asks US adults directly rather than inferring from traffic.
- 45% of consumers say they use ChatGPT or other generative AI tools for local business recommendations — BrightLocal Local Consumer Review Survey 2026 (n=1,002 US adults).
- That is up from 6% in the prior year's survey — a 7.5x increase in twelve months — BrightLocal, 2026.
- 97% of consumers read online reviews for local businesses — BrightLocal, 2026.
- 41% now say they 'always' read reviews when browsing for a business, up from 29% — BrightLocal, 2026.
- ChatGPT reports roughly 700 million weekly active users — OpenAI, 2025 (cited by Semrush).
- Roughly half of ChatGPT's cited links point to business and service websites rather than publishers — Semrush, 2025.
What does AI search traffic do once it lands on a site?
The volume of clicks coming out of AI answers is small. The quality of those clicks is not — which is the most consistently repeated finding across 2025–2026 measurement work.
- The average AI-search visitor is worth 4.4x more than a traditional organic search visitor — Semrush, 2025.
- AI referral visits show a 27% lower bounce rate than non-AI traffic on retail sites — Adobe, 2025.
- AI referral visits run 38% longer and involve more page views — Adobe, 2025.
- ChatGPT users click an average of 1.4 external links per visit, against 0.6 from a Google session — Momentic, 2025.
- Only about 19% of users click through to the sources cited in an AI Overview — Exploding Topics, 2025.
- Being featured as an AI Overview source raised click-through rate from 0.6% to 1.08% — Seer Interactive, 2024 (cited by Semrush).
Read those two clusters together before drawing a conclusion. Fewer people click, but the ones who do arrive further along. For a contractor that maps onto a real pattern: fewer casual readers on a cost guide, roughly the same number of people who actually want a quote.
Which sources do AI answers actually cite?
This is the statistic set that should reshape a local marketing budget. Your own website is a minority of the citation surface for questions about your own business.
- Roughly 77% of citations on branded queries come from off-page sources rather than the brand's own site — Omniscient Digital, analysis of 23,000+ citations (reported via Search Engine Journal).
- Only about 23% of citations on branded queries are the brand's own content — Omniscient Digital.
- Reddit accounts for about 21% of AI Overview citations — Averi.ai research (reported via Search Engine Journal).
- YouTube accounts for about 18.8% of citations in the same analysis — Averi.ai.
How fresh does content have to be to get cited?
Freshness is one of the few levers where independent measurements agree, and it is cheap to act on.
- AI-cited content is 25.7% fresher on average than the content ranking in classic Google organic results — Ahrefs analysis of 17 million citations.
- ChatGPT showed the strongest recency preference of the engines measured — Ahrefs, 2026.
- 74% of consumers specifically seek out reviews written in the last three months — BrightLocal, 2026.
- Engagement and behavioural signals — recent posts, photos, review cadence — continue to climb in importance on Whitespark's 2026 practitioner panel — Whitespark, 2026.
Freshness means the substance changed, not the timestamp. Rewriting a cost guide with current numbers is a refresh. Editing dateModified on unchanged content is not, and it is the single most common way businesses waste the freshness signal.
What content features are shown to increase citation?
The academic baseline here is the Princeton and Georgia Tech paper that named the field. It is worth quoting precisely, because the number gets inflated in secondary coverage.
- Optimizing content along the paper's dimensions boosted visibility in generative engine responses by up to 40% — Aggarwal et al., 'GEO: Generative Engine Optimization', KDD 2024.
- The tactics that produced those gains were adding authoritative citations, direct quotations, and relevant statistics — Aggarwal et al., 2024.
- Keyword stuffing was among the tactics the same paper found ineffective — Aggarwal et al., 2024.
Two practices are widely recommended on top of that and are worth adopting because they cost nothing, though we have not found a controlled study behind either: answering the question directly in the opening paragraph, and giving each section a heading phrased the way someone would actually ask it. This page is built that way. Treat them as reasonable defaults, not as measured effects.
Does schema markup or llms.txt actually move the needle?
Two tactics get sold hard to local businesses. Both now have direct experimental evidence against them, worth quoting precisely rather than relying on either the hype or the backlash.
- Ahrefs analysed 6 million URLs and tracked 1,885 pages that added JSON-LD between August 2025 and March 2026 — Ahrefs, 2026.
- Adding JSON-LD produced no measurable change in citations from Google AI Overviews, Google AI Mode, or ChatGPT in the 30 days afterwards — Ahrefs, 2026.
- AI-cited pages were nearly 3x more likely to already carry JSON-LD — a correlation Ahrefs attributes to better-maintained sites, not to the markup itself — Ahrefs, 2026.
- When Ahrefs tested whether ChatGPT, Claude, Perplexity, Gemini, and Google AI Mode read schema on live fetch, none of them did — all five extracted only visible HTML — Ahrefs, 2026.
- Ahrefs checked 137,210 domains with traffic in May 2026; 38,360 of them (28%) published a valid llms.txt — Ahrefs, 2026.
- 97% of those llms.txt files received zero requests that month — nothing fetched them at all — Ahrefs, 2026.
- 96% of the requests that did arrive came from automated crawlers, and no AI bot proactively looked for the file where it did not exist — Ahrefs, 2026.
- Google has confirmed Search does not use llms.txt, and that AI Overviews and AI Mode draw on the same index as classic ranking — Google, 2026.
This is not an argument for removing schema. Correct structured data still earns rich results, still describes your business entity to Google's own systems, and costs nothing once implemented. It is an argument against paying a premium for 'AI schema', and against believing an llms.txt file bought you visibility.
What do the local ranking factor weights look like in 2026?
Whitespark's annual survey of local search practitioners is the closest thing the field has to a consensus estimate. The 2026 edition's headline is that local and AI signals have converged.
- Whitespark's 2026 Local Search Ranking Factors report draws on 47 local search practitioners — Whitespark, 2026.
- Proximity to the searcher accounts for roughly 55% of the local ranking outcome — Whitespark, 2026.
- Google Business Profile signals account for roughly 32% of the controllable weight — Whitespark, 2026.
- On-page signals account for roughly 19% — Whitespark, 2026.
- Review signals account for 16–20%, with velocity, response rate, and total count weighted most heavily — Whitespark, 2026.
- Social engagement was confirmed as a measurable ranking factor for the first time in the 2026 edition — Whitespark, 2026.
- Whitespark's 2026 conclusion is that local search signals and AI search signals have effectively merged — the same inputs drive visibility across Google, Maps, ChatGPT, and Perplexity — Whitespark, 2026.
What does all this mean for a contractor's marketing budget?
The honest synthesis: the highest-leverage work is off your website, the on-site work that matters is content and entity accuracy rather than markup, and paid channels are unaffected by any of it.
- Roughly 77% of the citation surface is off-page, so reviews, directory accuracy, and third-party presence outrank on-site tinkering — Omniscient Digital.
- 47% of consumers will not use a business with fewer than 20 reviews — BrightLocal, 2026.
- 31% will only use a business rated 4.5 stars or higher — BrightLocal, 2026.
- 80% say they are more likely to use a business that responds to all its reviews — BrightLocal, 2026.
- 19% now expect a response to their review the same day, up from 6% a year earlier — BrightLocal, 2026.
- Paid channels sit outside the AI answer entirely: Home & Home Improvement lead campaigns on Meta averaged a $41.26 cost per lead — WordStream, Apr 2024 – Jun 2025.
- The same category on Google Search averaged a $90.92 cost per lead — WordStream, Apr 2025 – Mar 2026.
- For context, the all-industry averages in those same datasets were $27.66 on Meta lead campaigns and $66.69 on Google Search — WordStream.
If you take one implication off this page: get past 20 reviews at 4.5 stars, reply to all of them within a day, keep your listings identical everywhere, and publish honest cost content that answers the question in its first paragraph. Every study cited here supports that sequence. None of them supports buying 'AI schema'.
Put these numbers to work
- AI search visibility for contractors — the full playbook
What to actually do in the next 90 days, in order.
- Local SEO statistics for contractors 2026
The Business Profile, review, and local-pack data behind the ranking weights above.
- AEO vs SEO, explained
What the two terms actually mean and where they overlap.
- The contractor website AI search checklist
- Google Business Profile optimization
- Talk to us about your lead flow
We run the paid side while the organic side compounds.
Sources
The public studies behind the figures on this page, with what each one was used for. Last verified 2026-07-25.
- 1Ahrefs — We Analyzed 137K Sites: 97% of llms.txt Files Never Get Read
2026 · 137,210 domains with traffic; May 2026 server-log and bot analytics. Source for every llms.txt figure on this page.
- 2Ahrefs — We Tracked 1,885 Pages Adding Schema. AI Citations Didn't Move.
2026 · 6M URLs analysed; 1,885 pages adding JSON-LD Aug 2025 – Mar 2026. Source for the schema findings and the live-fetch test across five AI systems.
- 3BrightLocal — Local Consumer Review Survey 2026
2026 · Representative SurveyMonkey panel of 1,002 US adult consumers. Source for all consumer review and AI-adoption percentages.
- 4Whitespark — Local Search Ranking Factors 2026
2026 · Survey of 47 local search practitioners. Source for the ranking-factor weights and the local/AI signal convergence finding.
- 5Search Engine Journal — AI Overviews Now Answer Most Local Searches — How To Get Your Business Cited
2026. Reporting vehicle for the Whitespark prevalence data, the Averi.ai citation shares, and the Omniscient Digital off-page citation split.
- 6Semrush — 26 AI SEO Statistics for 2026 + Insights They Reveal
2026. Source for AI Overview intent mix and AI visitor value, and the vehicle for the Google, OpenAI, Adobe, Momentic, Seer Interactive and Exploding Topics figures cited through it.
- 7Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan & Deshpande — GEO: Generative Engine Optimization (KDD 2024)
2024 · GEO-bench, a large-scale benchmark of user queries across multiple domains. Peer-reviewed origin of the 'up to 40% visibility' figure and the citations/quotations/statistics finding.
- 8WordStream — Facebook Ads Benchmarks: New Data by Industry
Apr 2024 – Jun 2025 · 554 US traffic campaigns and 726 US lead campaigns. Source for the Meta Home & Home Improvement and all-industry cost-per-lead figures.
- 9WordStream — Google Ads Benchmarks 2026: Competitive Data for Every Industry
Apr 2025 – Mar 2026 · 13,474 US-based search advertising campaigns. Source for the Google Search Home & Home Improvement and all-industry cost-per-lead figures.