Construction Management Software: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which brands lead the Construction Management Software benchmark, and how wide is the gap between them?
• Which brands posted the largest recommendation coverage gains or declines since the July 2026 baseline?

Procore leads the Construction Management Software benchmark with valid recommendation coverage of 75.8% in October 2026, up from 69.2% in July 2026. Buildertrend holds the second position at 72.3%, up from 66.3% in July 2026. The 3.5-point gap between the two leaders has narrowed from 2.1 points in September 2026.

Two brands posted significant increases. Procore's 6.6-point baseline-to-current rise took it from 69.2% in July 2026 to 75.8% in October 2026, moving beyond normal month-to-month variation. Buildertrend rose 6.0 points over the same span, from 66.3% to 72.3%, also beyond normal variation. Both brands also rose against the prior month: Procore up 8.5 points from 67.3% in September 2026, and Buildertrend up 7.1 points from 65.2%.

Two brands posted significant declines. Knowify's 7.7-point fall took it from 15.7% in July 2026 to 8.0% in October 2026, beyond normal variation. Sage Construction Management fell 4.4 points, from 14.1% to 9.7%, also beyond normal variation. Sage has now declined in each of the three months since July 2026.

The benchmark began with 800 prompt-surface observations in each month and produced 588 qualified observations in October 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. August 2026 registered 391 qualified observations, the lowest point in the series, before the count recovered to 590 in September 2026 and 588 in October 2026.

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

Questions This Section Answers

• How many prompt-surface observations qualified for the benchmark, and how does that differ from the raw collection?

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 Visibility Market Discovery Methodology for full details.

Current Brand Standings

Questions This Section Answers

• How do the tracked brands differ on presence rate, valid recommendation coverage, top-three rate, and rank-one rate?
• Which brands appear most often as the first or top-three AI recommendation in Construction Management Software?

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 Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Questions This Section Answers

• Which brands gained or lost recommendation coverage between July and October 2026?
• Did Knowify's decline reflect a continuing slide or an early-series drop?
• Why has Sage Construction Management declined in each of the three months since July 2026?

The table compares the July 2026 baseline with October 2026. September 2026 figures appear in the brand subsections below where the month-to-month movement matters.

Largest Increase: Procore

Procore recorded the largest coverage increase of any tracked brand, rising 6.6 points from 69.2% in July 2026 to 75.8% in October 2026, beyond normal month-to-month variation. The rise accelerated against the prior month: coverage stood at 67.3% in September 2026, so the brand gained 8.5 points from September to October. Top-three rate climbed from 55.1% in July 2026 to 70.6% in October 2026, and rank-one rate rose from 46.9% to 58.0% over the same span. Procore's 94.9% presence rate remains the highest among tracked brands.

Largest Decline: Knowify

Knowify recorded the largest coverage decline of any tracked brand, falling 7.7 points from 15.7% in July 2026 to 8.0% in October 2026, beyond normal variation. Presence rate declined from 17.6% in July 2026 to 9.0% in October 2026. The brand has risen slightly in each of the last two months, from 5.9% in September 2026 to 8.0% in October 2026, so the baseline-to-current gap reflects an early-series drop rather than a continuing slide. Rank-one rate rose from 0.5% in July 2026 to 1.9% in October 2026.

Significant Decliner: Sage Construction Management

Sage Construction Management declined 4.4 points from 14.1% in July 2026 to 9.7% in October 2026, beyond normal month-to-month variation. The brand declined in each of the three months since July 2026, with coverage at 13.6% in August 2026 and 10.3% in September 2026. Presence rate fell from 24.2% in July 2026 to 18.7% in October 2026. Top-three rate slipped from 4.1% to 3.1% over the same span.

Category Leader: Procore

Procore remains the category leader with valid recommendation coverage of 75.8% in October 2026, up from 69.2% in July 2026 and 67.3% in September 2026. The brand's presence, top-three, and rank-one rates are each the highest among tracked brands in October 2026.

Recommendation Placement Snapshot

Questions This Section Answers

• How do top-three and rank-one rates differ between brands with similar overall coverage?

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 sit within 3.5 points of each other on coverage in October 2026, but Procore's 58.0% rank-one rate far exceeds Buildertrend's 7.8%.

Buyer-Intent Distribution

Questions This Section Answers

• Which buyer-intent classes are represented in the qualified observations, and which are missing?

All 588 qualified observations in October 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

Questions This Section Answers

• What does each prompt-level observation preserve about how a brand was surfaced?
• Does source presence prove that a cited source caused the recommendation?

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

Top 10 Cited Domains

Questions This Section Answers

• Which domains are cited most often across AI platform responses in this benchmark period?
• How concentrated are citations across the top domains, and which tracked brand domains appear?

Across all AI platform responses in this measurement period, the benchmark observed 6,471 citations drawn from 1,060 unique domains.

Citations are broadly distributed rather than concentrated: the top 10 domains together account for roughly a third of all citations, and no single domain exceeds 8.5% share. Three tracked brands' own domains appear in the top 10, with fieldwire.com (3.7%), procore.com (3.2%), and buildertrend.com (2.9%) ranking fourth, fifth, and sixth respectively, each cited across at least five of the six canonical AI surface families. The remaining top-10 slots are dominated by general and vertical content and community sources, including video and forum platforms, search infrastructure, and software review destinations.

About This Benchmark

The LLM Authority Index AI Visibility 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 Visibility Market Discovery Methodology
• AI Visibility Market Discovery Metric Definitions
• AI Visibility Market Discovery Research Standards
• Modeled AI Visibility Authority Value

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