Case Studies1 min read • Jan 17, 2026By Ethan Park

Case study: Correcting brand misconceptions in LLM responses (Jan 2026 Update 2)

Case Study (Refreshed): How NimblyOps Used Abhord to Become Visible to LLMs

Case Study (Refreshed): How NimblyOps Used Abhord to Become Visible to LLMs

Company snapshot

  • Name: NimblyOps (fictional)
  • Product: B2B SaaS for workflow orchestration in mid-market manufacturing
  • Team size: 85 employees
  • Goal: Be correctly included and described when buyers ask LLMs for “best workflow orchestration platforms for factories”
  • Timeframe: 90-day program in August–October 2025

1) The initial problem

By mid-2025, NimblyOps noticed a worrying pattern: when prospective customers asked popular LLMs for vendor shortlists, NimblyOps was either not mentioned or was described as a field service tool (confused with a similarly named company). In our baseline test of 300 prompts across five widely used LLMs, NimblyOps appeared in only 14% of generic shortlist responses and, when mentioned, 37% of those mentions contained factual errors (e.g., outdated

Ethan Park

AI Marketing Strategist

Ethan Park brings 13+ years in marketing analytics, SEO, and AI adoption, helping teams connect AI visibility to measurable growth.

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