Construction Management Software: AI Market Discovery Index

Benchmark Summary

Procore leads the Construction Management Software benchmark with valid recommendation coverage of 69.0% in August 2026, remaining effectively stable from 69.2% in July 2026. Buildertrend holds the second position at 64.2% in August 2026, down from 66.3% in July 2026, leaving a gap of 4.8 points between the two leaders.

The largest coverage decline this month belongs to Contractor Foreman, which fell 15.6 points, from 46.5% in July 2026 to 30.9% in August 2026. Fieldwire also declined sharply from 45.1% in July 2026 to 32.2% in August 2026, down 12.9 points. Knowify fell from 15.7% in July 2026 to 4.9% in August 2026, down 10.8 points. No brand posted a significant coverage increase this month.

The benchmark began with 800 prompt-surface observations in each month and produced 391 qualified observations in August 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the number of canonical AI surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six families were present in both months.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Construction Management Software

Research Scope and Qualification

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. The public benchmark is narrower than the raw collection universe by design. See the AI Market Discovery Methodology for full details.

Current Brand Standings

How to Read the Standings

• Presence rate: share of qualified observations where the brand is mentioned by the AI surface.
• Valid recommendation coverage: share of qualified observations where the brand receives a valid recommendation.
• Top-three rate: share of qualified observations where the brand appears among the top three recommendations.
• Rank-one rate: share of qualified observations where the brand is the first recommendation.
• Net sentiment: positive minus negative sentiment among mentions, scaled to a 0 to 1 range.

For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

Largest Decline: Contractor Foreman

Contractor Foreman recorded the largest coverage decline of any tracked brand this month, falling 15.6 points. This move is beyond normal month-to-month variation. Presence rate also fell significantly, from 51.5% in July 2026 to 35.0% in August 2026. Top-three rate declined from 11.2% to 7.7% over the same period.

Largest Decline: Fieldwire

Fieldwire declined from 45.1% in July 2026 to 32.2% in August 2026, down 12.9 points, also beyond normal variation. Presence rate fell from 58.5% in July 2026 to 46.3% in August 2026. Top-three rate slipped from 9.1% to 5.9%.

Largest Decline: Knowify

Knowify fell from 15.7% in July 2026 to 4.9% in August 2026, down 10.8 points, beyond normal variation. Presence rate declined from 17.6% in July 2026 to 6.9% in August 2026. Knowify's top-three placement count changed little while its rank-one placements rose, but within a much smaller observation base this month.

Category Leader: Procore

Procore maintained its leadership position with valid recommendation coverage of 69.0% in August 2026, essentially unchanged from 69.2% in July 2026. The brand's presence rate of 93.1% in August 2026, down from 95.0% in July 2026, remains the highest among tracked brands.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Placement among the top three and at rank one reveals how often a brand is surfaced as a primary option versus merely included in a list.

Close coverage can still hide very different first-position rates. Procore and Buildertrend hold similar top-three rates, but Procore's rank-one rate of 46.3% far exceeds Buildertrend's 4.6%.

Buyer-Intent Distribution

All 391 qualified observations in August 2026 fell into the Brand Recommendation class.

The current public series measures brand recommendation discovery only and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

Evidence and Source Layer

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Each observation preserves the full context of how a brand was surfaced or not surfaced in response to a given question. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure:

• Market share or commercial performance
• Attributable sales or conversions from AI recommendations
• Every possible AI response, including private or organization-specific model instances
• Organic search ranking positions
• Social media mention volume or sentiment
• Private or sponsored channel behavior
• Causality from a metric movement alone

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how often brands and products are discovered and recommended across major AI search and assistant surfaces. This industry-level benchmark provides category standings based on validated, prompt-level observations.

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

Get a Company-Level Authority Index

The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper, showing how your brand appears across AI surfaces, which strengths and gaps exist in the current information environment, and how your presence compares with direct alternatives.

The public percentage cannot identify the prompts, competitors, or sources causing the result.

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