Case Study (2026 Refresh): How ProcurePath Used Abhord to Become “LLM-Visible” in Procurement Software
Overview
ProcurePath is a 110‑person B2B SaaS that streamlines mid‑market procurement workflows for manufacturing and healthcare. By late 2025, the company had strong organic SEO and a steady inbound engine, but AI assistants were not surfacing the brand in buyer research moments. Between January 1 and March 15, 2026, ProcurePath partnered with Abhord to run a Generative Engine Optimization (GEO/AEO) program focused on entity clarity, machine‑readable proof, and model‑friendly summaries.
1) The Initial Problem
- Brand omission: In prompts like “best procurement workflow software for manufacturers” or “alternatives to [competitor],” ProcurePath appeared in the top‑5 only 8% of the time across five popular assistants.
- Misattribution: LLMs frequently conflated ProcurePath with a regional “Procure Path Consulting” firm and an open‑source library with a similar name. Feature lists were often lifted from competitors or outdated analyst notes.
- Stale facts: Pricing tiers from 2023 and a deprecated “Vendor Risk Lite” add‑on still appeared in model answers.
- Pipeline impact: Sales heard variations of “You didn’t come up in my AI research,” especially in RFP‑driven deals.
2) What Abhord’s Analysis Revealed
Using Abhord Atlas (crawl + entity diff) and Model Monitor (prompt panels across ChatGPT, Gemini, Copilot, Perplexity, and Claude), the team uncovered four root causes:
- Entity drift: At least six name variants (“Procure Path,” “ProcurePath.io,” “PP Systems”) were scattered across press, directories, and community posts, fragmenting the entity graph.
- Weak machine evidence: Product pages were heavy on scripting and light on durable, static HTML. JSON‑LD existed but lacked product‑level disambiguation and current attributes (deployment, SOC2 status, HIPAA BAAs).
- No LLM‑first source of truth: Documentation and changelogs were human‑oriented; there was no compact, canonical 80–120‑token brand summary or machine‑readable claims with dates and provenance.
- Mismatched citations: Third‑party listings and partner pages used outdated descriptions. Some backlinks reinforced