Spawned Research

How we measure AI visibility

Spawned Research is the research arm of Spawned (Spawned LLC), the platform that builds and grows organic-acquisition assets designed to get brands cited by AI answer engines. Measurement comes first: you cannot improve what you have not measured, so we built an audit and run it constantly.

Each audit follows the same steps:

1. Read the brand. We crawl the brand's own site to build a profile: what it sells, who it sells to, and the category it competes in. No guessing about positioning.
2. Ask real buyer questions. From that profile we generate the questions a real buyer would type, recommendation questions ("best X for Y"), comparisons, and category questions, not vanity brand-name searches.
3. Put them to the engines. We ask each question to the major AI answer engines, currently ChatGPT, Claude, and Gemini, with live web access on, the same way a buyer's assistant would answer them.
4. Score deterministically. For every answer we record whether the brand was mentioned or cited, and which competitors appeared instead. Visibility is the share of answered questions where the brand shows up. The scoring is plain string matching, not a model judging a model, so the same inputs always produce the same number.

What we do and do not claim

• Figures are a snapshot in time. Answer engines change, and so do the answers; we date every study.
• We report what the engines said, not why. We do not claim to know a model's internal ranking.
• We never invent numbers. If a figure appears in a Spawned study, it came from an audit run like the one above.