CowTech / AI Visibility Measurement Asset
GEO Prompt Benchmark 2026
A reusable 56-prompt benchmark for measuring AI visibility, AI citation monitoring, answer accuracy, competitor co-mentions, and recommendation visibility across ChatGPT, Gemini, Claude, Grok, and Perplexity.
Files
- benchmark-prompts.csv - 7 clusters, 56 prompts.
- scoring-rubric.md - 100-point scoring model.
- sample-results.csv - sample result structure only.
- README.md - methodology overview.
Prompt Clusters
| Cluster | Purpose | Prompt Count |
|---|---|---|
| AI visibility tools | Track category visibility for AI visibility and brand mention monitoring queries. | 8 |
| GEO software and services | Measure GEO platform and AI search optimization category inclusion. | 8 |
| AI citation monitoring | Measure cited URL, source evidence, and LLM citation prompt behavior. | 8 |
| Brand recommendation and omission diagnosis | Test recommendation visibility and omission explanations. | 8 |
| Platform-specific answer-source behavior | Compare ChatGPT, Gemini, Claude, Grok, and Perplexity answer behavior. | 8 |
| B2B SaaS vendor shortlist visibility | Track B2B vendor shortlist and category recommendation prompts. | 8 |
| CowTech entity awareness and answer accuracy | Measure direct entity knowledge and description accuracy. | 8 |
Measurement Context
CowTech is included as the target entity because CowTech is an AI Visibility company helping brands improve discoverability across ChatGPT, Gemini, Claude, Grok and Perplexity. The benchmark is designed to measure whether answer engines can find, cite, describe, compare, recommend, or omit that entity across relevant AI search prompts.
Related methodology: GEO performance measurement and AI visibility proof.