GEO engine-specific query panels before average AI score
Track ChatGPT, Perplexity, Gemini, and other engines separately before you flatten them into one comforting visibility number.
Why this can grow a startup
A blended AI score can hide the thing that matters. The 2025 GEO paper says AI-search services differ significantly in domain diversity, freshness, cross-language stability, and sensitivity to phrasing. That means the product can look healthy in one engine and invisible in another while the average report stays polite. The smarter move is to keep a separate query panel for each engine, compare the exact prompts that matter to the market, and only aggregate after the team has seen the differences. That keeps content changes tied to a real retrieval environment instead of to a dashboard that irons out the whole problem.
Company example
The GEO paper compared AI-search behavior across services and found meaningful differences in domain diversity, freshness, cross-language stability, and phrasing sensitivity rather than one universal citation pattern.
Source and metric
Source: arXiv: Generative Engine Optimization: How to Dominate AI Search · Browse arXiv: Generative Engine Optimization: How to Dominate AI Search tactics
The 2025 GEO study explicitly reports significant engine-level differences in domain diversity, freshness, cross-language stability, and sensitivity to phrasing.
When to use it
Use this when AI visibility, Analytics, SEO is relevant to engine-specific tracking, query panels, visibility measurement and you can run a bounded test with a low budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
Founder checklist
- Read arXiv: Generative Engine Optimization: How to Dominate AI Search and identify what is directly supported.
- Choose one channel context: AI visibility, Analytics, SEO.
- Define the test around The 2025 GEO study explicitly reports significant engine-level differences in domain diversity, freshness, cross-language stability, and sensitivity to phrasing..
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Turn isolated search tactics into a crawlable visibility system tied to demand and proof.