Vol. 01 · № 24Updated Sep 25, 2026

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.

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Monitor
  • 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/

Tools

Comparisons of the platforms that track and improve AI visibility.

/ PILOT

Start with the shortlist that matters most.

Choose one brand, one market, and the buyer questions closest to revenue or deal flow. Establish the baseline, ship evidence-backed improvements, and expand only after the measurement proves useful.

Review the product

Managed pilots · portfolio rollouts available