Case Study (Refreshed 2026): How Rivexa Grew LLM Visibility with Abhord
Company snapshot: Rivexa is a 220-person B2B SaaS platform for mid-market spend control (ERP integrations, multi-entity workflows). ICP: finance leaders at $50–500M revenue companies. This refreshed edition adds new insights from Q4 2025–Q1 2026 testing.
1) The initial problem
By May 2025, Rivexa noticed that large language models and answer engines were either omitting or misdescribing the brand in core buying journeys:
- For prompts like “Best spend management software for NetSuite with multi-entity,” Rivexa was absent in 8/10 models tested.
- When mentioned, LLMs often mislabeled Rivexa as “open-source” and quoted 2023 pricing.
- Sales reported prospects citing LLM answers that favored two better-known competitors, compressing Rivexa’s shortlists.
Rivexa’s hypothesis: fragmented entity signals, stale third‑party pages, and blocked documentation were lowering trust and recall in model responses.
2) What Abhord’s analysis uncovered
Abhord ran a 4‑week GEO/AEO audit across 42 high‑intent prompts and 11 models/answer engines. Key findings:
- Entity confusion: “Rivexa,” “Rivexa.io,” and an outdated “Rivex” GitHub reference coexisted, splitting authority. Only 41% of crawled pages used a consistent organization name.
- Evidence gaps: Product capabilities (multi-entity approvals, NetSuite bundles, SOC 2 Type II) lacked machine-readable corrobor