Construction company · new domain
Within four months the company moved from 0% to about 5% AI visibility, began earning citations across AI chats, and built real domain authority from a standing start — a base that keeps compounding with every new project and mention. Figures are rounded measured estimates, not exact daily rankings. Lead attribution was reported by the client and not independently verified by us. Results vary by market, model, prompt set, and implementation.
Measured result
Background
A construction company on a brand-new domain, with no search history and no domain authority — a capable business with real projects, but effectively invisible to the systems customers increasingly ask for recommendations.
The challenge
At the start it scored 0% AI visibility: no assistant mentioned it for any core service, and nothing on the wider web pointed to it from the sources the models trust. With a zero-authority domain, there was no foundation for AI to draw on.
What we did
We built the foundations from the ground up, in sequence:
- Published clean, structured business and service information the models could parse
- Created authority content around its services, projects, and service areas
- Earned citations on trusted, relevant sources AI reads when recommending contractors
- Established entity data so the business is recognized as a distinct, real entity
- Tracked domain authority and citation growth alongside AI visibility for a measurable trail
Results
Within four months the company moved from 0% to about 5% AI visibility, began earning citations across AI chats, and built real domain authority from a standing start — a base that keeps compounding with every new project and mention. Figures are rounded measured estimates, not exact daily rankings. Lead attribution was reported by the client and not independently verified by us. Results vary by market, model, prompt set, and implementation.
Measurement & evidence
- Market:
- Construction company · new domain
- Period:
- 4 months
- Measurement:
- Fixed buyer-prompt panel, repeated across ChatGPT, Claude, Perplexity, and Google AI.
- Primary metric:
- AI Visibility — the share of relevant answers, across repeated runs of the fixed prompt panel, that name the business. How this is measured
- Starting point → latest measurement:
- 0% → 5%
- Actions completed:
- Published clean, structured business and service information the models could parse; Created authority content around its services, projects, and service areas; Earned citations on trusted, relevant sources AI reads when recommending contractors; Established entity data so the business is recognized as a distinct, real entity; Tracked domain authority and citation growth alongside AI visibility for a measurable trail.
- Disclosed here:
- Category and market type, the measurement window, the metric definition, the provider set the prompt panel was run across, the before/after values, and the source-level work completed.
- Withheld:
- The client's name and domain, the verbatim prompt panel, and per-run answer text — the first because clients ask for anonymity, the last two because an engagement-specific panel would identify the client. Clients receive all three in their own reporting.
- Interpretation:
- Measured association after the completed work; not a guarantee that every change caused the full movement.
“We got our first leads from AI assistants that actually reached us — a great foundation to build on.”
Before vs. after
By provider — AI Visibility
Client names withheld for privacy. Figures are rounded measured estimates, not exact daily rankings. Results vary by market, model, prompt set, and implementation. How this is measured.
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