Recall Monitor
How answer engines decide which brands to name, measured. Research from our own runs, field guides, and notes on the tools and plumbing underneath.
- Vector databasePinecone88%[69–96] n=24/
- Vector databaseQdrant88%[69–96] n=24/
- Vector databaseWeaviate83%[64–93] n=24/
- Vector databaseMilvus83%[64–93] n=24/
- Vector databaseElasticsearch21%[9–40] n=24/
- Vector databaseChroma17%[7–36] n=24/
- Vector databasepgvector0%[0–14] n=24/
- Vector databaseRedis0%[0–14] n=24/
- Decentralised exchangeUniswap67%[52–79] n=42/
- Decentralised exchange1inch52%[38–67] n=42/
- Decentralised exchangeJupiter36%[23–51] n=42/
- Decentralised exchangeCurve29%[17–44] n=42/
- Decentralised exchangeOrca24%[13–39] n=42/
- Decentralised exchangeRaydium21%[12–36] n=42/
- Decentralised exchangeAerodrome14%[7–28] n=42/
- Decentralised exchangePancakeSwap12%[5–25] n=42/
Technical
Crawlers, structured data, llms.txt and the plumbing underneath.
Robots.txt and AI Crawlers: Is 'Disallow All' Killing Your AI Traffic?
A leftover 'Disallow: /' can hide your site from AI search. Here's which AI crawlers to allow, which to block, and how to check your robots.txt in minutes.
№ 15//8 min
Structured Data for AI Search: Schema & llms.txt
How structured data helps AI engines understand and cite your content: a practical guide to schema markup and llms.txt for AEO.
№ 13//5 min
Do llms.txt files matter for AEO?
The llms.txt convention is often misunderstood due to minor nuances in how it's used by AI search. Learn how agentic search actually uses Markdown text.
№ 11/Recall Research//2 min