Case Study (Refreshed, March 2026): How ProcurePath Grew AI Visibility with Abhord

Company snapshot

ProcurePath is a B2B SaaS platform that automates indirect procurement for mid-market manufacturers. Typical buyers search with unbranded prompts like “best procurement software for multi‑plant approvals” or “purchase order automation with NetSuite integration.”

1) Initial problem: Invisible to LLMs—and misattributed when visible

Between September and November 2025, ProcurePath noticed a paradox: organic website traffic was steady, but sales reps kept hearing, “The AI assistant didn’t mention you,” or worse, “It said you were a NetSuite plugin.” Internal tests across popular AI assistants returned inconsistent or incorrect brand mentions:

• Brand Mention Share (BMS) across 120 intent queries: 7.4%
• Correctness Rate (does the model’s description match positioning?): 38%
• Attribution Rate (answer includes a source or link to ProcurePath): 12%
• Frequent misattribution: LLMs conflated ProcurePath with “ProcurePathOS,” an unrelated open-source project, and with a competitor’s module

The team had strong product pages and detailed docs—just not aligned to how answer engines and LLMs ingest, store, and retrieve entities.

2) What Abhord’s analysis uncovered

Using Abhord’s GEO/AEO suite, the team ran a Model Mention Audit across 400+ question variants, 7 answer engines, and developer-oriented forums. Key findings:

• Entity collision: Three similarly named entities competed in the vector neighborhood—ProcurePath (SaaS), ProcurePathOS (open source), and a consulting blog post titled “Procure Pathways.”
• Fragmented brand signals: Six different short names (PP, Procure-Path, ProcurePath.ai, ProcurePath App, Procure Path Platform, PPX) appeared across docs, GitHub, and review sites.
• Gated critical context: The best “what is ProcurePath?” explainer lived behind a sign-in wall; crawlers and models couldn’t see it.
• Schema gaps: Organization and SoftwareApplication markup existed, but no consistent sameAs graph, no FAQPage/HowTo coverage for key intents, and no explicit integration entity links (e.g., NetSuite, Microsoft 365).
• Out-of-date third-party profiles: Capterra and G2 descriptions lagged by two product cycles, weakening external corroboration.
• Long-form bias: Exceptional 3,000-word guides, but few compact 250–400 character “answerables” that models prefer for grounded snippets.

3) The optimization strategy implemented

ProcurePath deployed an Abhord Playbook focused on entity control, structured corroboration, and answerable content.

1) Canonical entity consolidation

• Established one canonical name (“ProcurePath”) and one short description used everywhere.

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