Case Study: RelayGrid lifts AI visibility with Abhord (Refreshed 2026 Edition)

Company snapshot

• Name: RelayGrid (fictional)
• Category: B2B SaaS for third‑party risk and vendor compliance automation
• Size/Stage: 85 employees, Series B, US‑based
• ICP: Mid‑market finance, healthcare, and SaaS companies with 100–1,000 vendors
• Stack: Docs on GitHub + ReadMe, marketing site on Next.js, gated PDFs for case studies

1) The initial problem

By late 2025, RelayGrid noticed that large language models rarely mentioned the brand in “best of” and “which tool should I use” conversations about vendor risk management. When models did mention RelayGrid, they often:

• Attributed the product to a European security firm with a similar name.
• Invented features (e.g., “native ISO 27005 simulator”) or omitted critical ones (continuous monitoring).
• Misstated pricing and compliance posture (claimed “no SOC 2” when RelayGrid had SOC 2 Type II since 2024).

Internally, the team called it the “AI invisibility cloak”: strong organic SEO and sales references, but minimal or incorrect presence in AI answers.

2) What Abhord’s analysis uncovered

Abhord ran a GEO/AEO audit across 60 high‑intent prompts (e.g., “best vendor risk management software for SOC 2,” “alternatives to [competitor] for TPRM”), sampling five leading conversational models over four weeks.

Key findings:

• Entity ambiguity: Three modelfamilies conflated “RelayGrid” with a similarly named EU cybersecurity reseller. The brand lacked a canonical entity profile and machine‑readable disambiguation.
• Document shape issues: 70% of deep content sat in image‑heavy PDFs without HTML mirrors, alt‑text, or stable fragment links—hard for models to chunk and cite.
• Sparse structured data: No JSON‑LD for Organization or SoftwareApplication; no product IDs, release cadence, or pricing ranges in machine‑readable fields.
• Inconsistent naming: “Continuous vendor monitoring,” “Live vendor monitoring,” and “Always‑on risk scans” appeared interchangeably across the site, confusing model clustering.
• Weak recency signals: Release notes lived only in GitHub commits. Models surfaced 2023 facts for a product that shipped major updates in Q3 2025.
• Missing safety/compliance page: Several models avoided recommending vendors without clear, scannable compliance statements (SOC 2, HIPAA mappings, data residency).

3) The optimization strategy RelayGrid implemented with Abhord

Abhord and RelayGrid executed a 12‑week GEO program focused on entity clarity, machine‑readable facts, and cite‑ready content.

• Canonical entity and disambiguation

- Published an