Construction
AI Visibility for the construction industry
Mid-market commercial general contractors are systematically invisible to AI vendor discovery. The four major LLMs converge on the same four national names for 92% of category prompts. Specialists with stronger project-fit evidence are absent unless asked for by name.
Common visibility issues in construction
Generic descriptions that omit your specialty (healthcare, life sciences, education).
Schema.org markup missing — LLMs cannot ingest your services deterministically.
Trade-press citations that mention you but do not anchor your category.
Inconsistent canonical descriptions across homepage, About, LinkedIn, press kit.
Competitive recommendation risk
When a buyer asks ChatGPT or Perplexity for the best healthcare general contractor in your region, your firm does not appear in the top-5 — but DPR Construction, Turner, Mortenson, and Suffolk do, even if your project track record is closer to the buyer's actual need.
AI Visibility Score™ — example
Median score for the 142-firm Q1 2026 construction cohort: 51/100 (Under-represented). Only 8% scored above 80.
Frequently asked questions
The most common reason is that AI cannot confidently anchor your firm to a specific named category. Generic descriptions, missing schema, and thin third-party citations all contribute. An audit pinpoints which gap is driving your specific score.
The AI Visibility Score™
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