How XLR8 AI Helped Provision Beat Its Biggest Competitors - Procore and Autodesk in AI Search

Summary: In 11 weeks, Provision — a startup building AI agents for construction scope and bid review — overtook Procore and Autodesk on the two LLM categories closest to its product. At peak, Provision was named in 94.4% of Construction AI Agents queries (vs Procore's 81.5%) and 90.7% of Construction Scope of Work queries (vs Procore's 81.5% and Autodesk's 77.8%) across every major LLM. For context: Procore is a public company valued at ~$8B. Autodesk is a $60B incumbent. Provision raised a seed. 

Headline Results

#1 across every major LLM in Construction AI Agents - ahead of Procore and Autodesk

#1 across every major LLM in Construction Scope of Work — ahead of Procore and Autodesk

#3 in Preconstruction Software — closing on Procore and Autodesk

The Numbers That Got It There

• Overall AI visibility: 25.97% → peak 58.82% (2.3x in 11 weeks)

• provision.com citations: 144 → 553 (3.8x)

• Claude Sonnet 5: peaked at 65.5% (the Sonnet model used at baseline was Claude Sonnet 4.6 at 21.8%)

• Sonar (Perplexity): peaked at 67.3% (the model used at baseline was Perplexity at 20.0%)

• Grok 4.20: 45.5% → 76.4%

• Gemini 3 Flash: peaked at 85.5%

Client Testimonial

“Buyers in construction are starting their research in AI engines, and we needed Provision to show up there. With XLR8 AI, we nearly tripled the number of inbound demos coming from AI engines"

— Toby Kim, Founder & CEO, Provision

Who Is Provision?

Provision builds AI agents for commercial construction — specifically for general contractors, estimators, and preconstruction teams who review drawings, specs, and subcontractor bids before buyout. The agents surface scope gaps, missing requirements, and risk the human team would catch late (or miss entirely).

The company sits in a category LLMs are increasingly asked to recommend from: "best AI tool for scope review," "agent that can read construction drawings," "software to catch missing scope in subcontractor bids." The problem — until the XLR8 AI engagement — was that LLMs weren't recommending them.

The Challenge: Beating a $60B Incumbent in Its Own Category

Construction software is one of the hardest B2B categories to break into through AI search. Procore (public, ~8Bmarketcap)andAutodesk(60B+ market cap) have 10+ years of SEO, review-site domination, and press coverage baked into every LLM's training data. When a GC asked Claude "what's the best construction software for scope review?" the answer was Procore and Autodesk — every time.

At baseline (June 16, 2026), Provision's position reflected the asymmetry: Overall AI visibility: 25.97%

Provision had a sharper wedge than either incumbent — AI agents specifically for scope and bid review — but LLMs weren't surfacing that wedge. The company needed to beat two companies with 10x+ GTM budgets, in their own category, using a tenth of the ad spend.

How XLR8 AI Did It - Winning Category-by-Category, Not Brand-Wide

Most AI search programs try to lift a brand's overall score. For Provision, that was the wrong move — overall visibility across 7 construction categories wasn't the problem a buyer felt. A buyer asking Claude about "AI agents for construction document review" didn't care what Provision's score was in General Contractor Software. They cared whether Provision was in the answer to their question — and whether it was ranked above Procore and Autodesk when the LLM compared options.

So the program was built category-first: identify the categories closest to Provision's product, benchmark Provision against Procore and Autodesk prompt-by-prompt in each one, and build the content, authority, and technical signals needed to flip that specific comparison — then move to the next.

Category-Mapped Content, Not Blog Volume

Published long-form guides, listicles, and buyer's guides on provision.com/blog mapped to the exact query shapes LLMs retrieve from in each category — not "AI in construction" general content. Pieces named for what buyers actually type: "8 best AI agents for reviewing construction drawings, specs, and contracts," "best scope of work software for construction estimators in 2026," "best software to check subcontractor bids for missing scope." Four of these became top-cited pages by Aug 31, driving 139+ combined citations.

Competitor Comparison Content Aimed at the Right Incumbents

Built comparison and alternatives pages against the specific competitors LLMs were citing in each category — Document Crunch for scope review, Autodesk for AI agents, Procore for preconstruction. Each page captured the "X vs" and "alternatives to X" queries that run late in a GC's funnel.

Earned Media in Category-Trusted Publications

Secured placements in ENR (Engineering News-Record) — the publication construction buyers and LLMs trust most — plus Techli and other tech publications. One strong ENR article moves construction visibility more than a dozen generic tech blogs because of how heavily LLMs weight ENR as a source.

Third-Party Listicle Placements Where LLMs Already Pull From

Ran outreach to the specific third-party domains LLMs were citing in each construction category — including a paid Grok placement via GetClue that secured 5 Grok citations where Provision had been invisible. Every placement was chosen because a visibility experiment had already shown an LLM citing that domain.

YouTube Authority on a Surface LLMs Weight Heavily

Published video content targeting high-intent construction software queries on both ProvisionHQ and a third-party channel. YouTube consistently emerged as one of the top-cited sources in LLM answers for the construction software category.

Site Pages and Technical Infrastructure

Built and optimized canonical solution pages Provision was missing (/preconstruction-software and others), rewrote metadata for LLM retrieval, and monitored Google indexing on every piece — flagging delays, submitting to the index queue, and getting content read by LLMs within days.

Weekly Experiments Across Every Major LLM

Ran weekly visibility experiments across Claude Sonnet 5, Gemini 3, Grok 4.20, Google AI Mode, GPT 5.6 Luna, and Sonar — tracking Provision across 7 categories against 11 named competitors, including Procore, Autodesk, Document Crunch, and Trunk Tools. 330 prompts per run. Every weekly report drove the next week's priorities — so the plan was rewritten against what was actually moving the Procore/Autodesk gap.

Strategy Pivot on the Hardest Category

By early September, six of seven categories were compounding. One wasn't: General Contractor Software, the broadest category and the one most dominated by Procore and Autodesk. Instead of running the same playbook harder, the plan was rebuilt — a dedicated GPT and Google AI Mode optimization push with 2-week and 1-month plans scoped to that one problem. The willingness to stop and rebuild on the hardest category rather than keep publishing was the thing a template program wouldn't have done.

The Growth Curve

Visibility didn't climb linearly — it compounded in a sequence tied to when content got indexed and when third-party placements went live. The sharpest jump came in early-to-mid August, when the AI agent and scope review guides got indexed and LLMs started citing them. The peak at 58.82% on Aug 31 was also when Construction AI Agents hit 94.4% — overtaking Procore across every major LLM. 

The Results in Detail

Beat Procore and Autodesk Head-to-Head in Two Categories

This is the headline. At peak:

• Construction AI Agents: Provision 94.4% vs Procore 81.5% vs Autodesk 57.4%

• Construction Scope of Work: Provision 90.7% vs Procore 81.5% vs Autodesk 77.8%

In the two categories closest to Provision's product, LLMs now recommend Provision more often than they recommend either Procore or Autodesk.

Closed to #3 in Preconstruction Software

Preconstruction Software is Procore's home turf. Provision moved from 48.2% baseline to 75.0% at peak — now a clear #3 behind Procore (93.8%) and Autodesk (85.4%), where it had been invisible six months earlier.

Strong Performance Across Every Major LLM

• Gemini 3 Flash: peaked at 85.5%

• Grok 4.20: 45.5% → 76.4%

• Sonar (Perplexity): peaked at 67.3% (replacing Perplexity, which sat at 20.0% at baseline)

• Claude Sonnet 5: peaked at 65.5% (replacing Claude Sonnet 4.6, which sat at 21.8% at baseline)
  
  

Citations Grew 3.8x

provision.com was cited 144 times at baseline, 553 at latest. Top pages:

• 8 best AI agents for reviewing construction drawings, specs, and contracts — 46 cites

• Best AI tools for construction and general contractors in 2026 — 34 cites

• Construction scope of work management software 2026 buyer's guide — 28 cites

• Best construction scope of work software — 23 cites
  
  

High-Intent Traffic Is Converting

Provision is now seeing dozens of LLM-sourced sessions a week on provision.com — the top of a funnel Toby describes as "one of the most high-intent we see — people are asking the question directly."

Why This Matters for Vertical SaaS Against Entrenched Incumbents

Provision's story is the proof point every founder competing against incumbents 10x their size needs to see. In 11 weeks, a seed-stage startup overtook Procore and Autodesk in the LLM answers that decide B2B construction software deals — without matching their ad spend, without a years-long content moat, and without a brand buyers already knew.

The playbook wasn't "more content." It was category-first targeting (not brand-wide lift), content shaped by the exact queries LLMs retrieve, earned media and third-party placements on the specific domains each LLM was already citing, weekly experiments that drove the next week's priorities, and a willingness to rebuild the plan when one category wasn't moving.

That's the pattern — and it's repeatable for any vertical SaaS that needs to beat the giants in AI search.