AI-answer visibility
Answer first: how AI is reshaping how buyers choose a tradesperson
The first contact between a buyer and a tradesperson is becoming a paragraph written by an AI. The firms named in it get the call.
The first contact between a homeowner and a tradesperson used to be a search results page with ten blue links. It is becoming a paragraph written by an AI, and the firms named in that paragraph get the call. Most mid-market firms have not noticed yet.
The answer is the new shop window
Google says its AI Overviews now reach more than 2.5 billion people a month, and that AI Mode, its conversational search, has passed one billion monthly users1. On its October 2026 earnings call, Google said AI Mode queries are on average three times longer than traditional searches, and that it plans to bring AI agents to Search that can book reservations, schedule appointments and fill out forms2.
Longer queries matter for trades. A buyer no longer types "plumber Dublin". They ask "how much should a combi boiler swap cost in Dublin 15, and who can do it this week?" The answer names a price range and, increasingly, names firms.
Fewer clicks, more decided buyers
The best public measurement of what this does to clicks comes from Pew Research Center, which tracked the browsing of 900 US adults in March 20253:
Pew's data is American and from early 2025, and behaviour moves fast, so treat the exact numbers with care. The direction is what matters: more of the decision is made on the results page, before anyone reaches a website. Google itself says that clicks from pages with AI Overviews are "higher quality", meaning visitors stay longer4. Fewer people arrive, and the ones who do have largely chosen already.
What AI answers are built from
AI answers summarise what the web says. For a home-services question, that means a few kinds of source:
- Pages that state facts plainly. A price range, what is included, whether VAT is in it, which areas are covered. A firm that publishes none of this gives the answer nothing to quote.
- Forums and review sites. Pew found Wikipedia, YouTube and Reddit were among the sources AI summaries cited most often5. In Ireland, boards.ie and Reddit threads about boiler prices are exactly the kind of text an answer leans on.
- Business profiles. Google tells site owners to keep their Business Profile information up to date as part of the same fundamentals4.
In the Dublin boiler market, 19 of 34 installers and providers checked in October 2026 publish a fixed starting price online6. Several of the largest names publish none. When an AI is asked what a new boiler costs, it can only cite the firms that said.
No tricks required, and none available
There is a growing industry selling secret techniques for AI visibility. Google's own guidance is blunt: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary," and it adds that you do not need new machine-readable files or special schema markup4. We agree. The work is less glamorous and more effective: say true, specific, useful things in plain text, in the places buyers and machines both read.
A seven-point playbook for trade and service firms
- Publish your price logic. A range for the common jobs, what is included, what costs extra, and VAT. You do not need to undercut anyone; you need to be quotable.
- One page per real question. "Boiler swap cost", "combi conversion", "no heat tonight", "landlord gas certificate". Write the answer a good engineer would give on the phone.
- Make your areas and hours explicit. Name the towns and postcodes you cover and when you reply.
- Keep your Business Profile complete and consistent with your website: name, address, phone, categories, hours.
- Ask for specific reviews. A review that says "price in an hour, fitted in two days" answers the next buyer's question; "great job" does not.
- Answer in public, honestly. Where homeowners ask questions in forums, a clear, signed answer from a registered professional is useful to them and to the systems that summarise those threads.
- Test the answers monthly. Ask ChatGPT, Gemini, Perplexity and Google the twenty questions your buyers ask, and record who gets named. That is your share of the new shop window.
Why this is a strategy question, not a marketing one
When the answer names three firms, the market becomes winner-takes-most at the question level. The firms that are cited get the calls, the reviews and the data to be cited again. The firms that are not cited compete on price for whoever is left. That is why we treat AI-answer visibility as part of a firm's operating model, next to how fast it quotes and how it books, rather than as a channel to buy.
Disclosure. Tall Poppy Advisory's founder also runs Needlemark, software that measures and corrects what AI assistants say about businesses. The playbook above works with or without it.
Sources
- Neowin, "These 13 Google products now have more than 1 billion users each", reporting figures given by Google CEO Sundar Pichai, 2026.
- Search Engine Land, "Google: AI Mode's lower monetization slowed Search ad growth", 29 October 2026.
- Pew Research Center, "Google users are less likely to click on links when an AI summary appears in the results", 22 July 2025.
- Google Search Central, "AI features and your website", read 3 November 2026.
- Ars Technica, reporting the Pew study, July 2025.
- boilerservicedublin.ie, "Boiler replacement and new boiler cost in Dublin", survey dated 22–23 October 2026, read 3 November 2026.
Cite as: Tall Poppy Advisory, “Answer first: how AI is reshaping how buyers choose a tradesperson”, 3 November 2026, https://tallpoppyadvisory.com/insights/ai-answers-and-the-trades/. Corrections: hello@tallpoppyadvisory.com.