Industry · Construction & trades
AI Visibility for Construction and Specialist Trades.
When a buyer asks ChatGPT, Gemini, Perplexity or Claude: "best [trade] in [city] for [project type]", is your firm in the answer? For most, the answer is no.
Exclusion rate
96%
of firms in our audit data are not named in the relevant AI answers.
Buyer query shape
"best [trade] in [city] for [project type]"
Time to first measurable lift
30 days
From baseline to first re-measurement.
The failure pattern.
Most trade businesses live entirely on Checkatrade, Google Business Profile and Facebook. None of those, on their own, produce the corroborated entity signal AI systems require to recommend confidently.
The four levers
How we engineer selection in construction & trades.
Cross-platform consistency
Eliminate the conflicts across website, Google profile, directories and social that suppress AI confidence below the recommendation threshold.
Project-type encoding
AI buyers ask by project type, not by trade. Encode the project specialisms (loft conversions, period restoration, commercial fit-out) explicitly.
Verified credentials
Surface FMB, NICEIC, Gas Safe, RIBA and equivalent body verifications in forms AI can read.
Service-area precision
Replace 'Greater London' with structured borough or postcode-level coverage that AI can match to buyer location.
From the field
Trades are the highest exclusion category in our audit data and also the lowest cost to materially improve. The work is structural rather than creative.
Common questions.
We get all our work from Checkatrade. Why bother?
AI assistants are increasingly used for trade research. The buyers reaching Checkatrade today are a subset; the buyers asking ChatGPT are growing fast and are currently going to your competitors.
Does this require a website rebuild?
Usually not. Most of the work is metadata, structured data and consistency across existing platforms.
Find out where you stand.
A free AVO Score™ on the actual buyer queries that matter in your practice.
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