Vector Databases AI visibility leaderboard
Vector Databases tools help engineering and product teams store and search embeddings. Buyers increasingly start this search inside AI assistants, which narrow 30 vendors down to a shortlist of three to five.
- Pinecone leads Vector Databases with an AI visibility score of 71.8 and appears in 82% of AI answers about Vector Databases (SlateIndex, Nov 2, 2026).
- AI engines named 30 Vector Databases brands; Pinecone, Qdrant and PostgreSQL hold 40% of all mentions.
- Pinecone leads on all 3 engines.
- qdrant.tech is the most cited source for Vector Databases, with 5.3% of citations.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Where vendors stand in Vector Databases
8 brands shown: 1 Leader, 3 Consensus Picks and 4 Challengers. Pinecone is the only brand above both lines.
| Brand | Mention rate | Citation authority | Answers citing own site | Position |
|---|---|---|---|---|
| Pinecone | 81.5% | 40.9% | 27 of 66 | Leader |
| Qdrant | 77.8% | 39.7% | 25 of 63 | Consensus Pick |
| PostgreSQL | 72.8% | 0% | 0 of 59 | Consensus Pick |
| Weaviate | 69.1% | 39.3% | 22 of 56 | Consensus Pick |
| Chroma | 39.5% | 31.2% | 10 of 32 | Challenger |
| Zilliz Cloud | 37% | 39.3% | 11 of 28 | Challenger |
| MongoDB Atlas | 32.1% | 16% | 4 of 25 | Challenger |
| Elasticsearch | 29.6% | 29.2% | 7 of 24 | Challenger |
Leaderboard
Brands mentioned in AI answers in the weekly run of Nov 2. Every engine ranks Pinecone first.
From audit to execution, Slate’s AEO team gets your brand into the answers buyers read.
Visibility score trend
Weekly runs over the last 60 days, top 8 brands. Click a name to hide or show its line.
Pinecone leads Vector Databases at 71.8%. Changes appear after the second weekly run.
Prompts in Vector Databases
The buyer questions SlateIndex runs for this category every week.
Most cited sources
Where engines get their information when they answer Vector Databases prompts.
| Source | Type | Share of citations | Citations | Prompts |
|---|---|---|---|---|
| qdrant.tech | Brand site | 35 | 21 | |
| pinecone.io | Brand site | 33 | 21 | |
| github.com | Web | 27 | 19 | |
| g2.com | Review site | 26 | 12 | |
| weaviate.io | Brand site | 26 | 21 | |
| zilliz.com | Brand site | 20 | 12 | |
| milvus.io | Web | 16 | 13 | |
| atlan.com | Web | 15 | 11 | |
| costbench.com | Web | 14 | 5 | |
| databricks.com | Brand site | 13 | 5 | |
| trychroma.com | Brand site | 13 | 10 | |
| firecrawl.dev | Web | 12 | 10 | |
| toolradar.com | Web | 12 | 9 | |
| cratedb.com | Brand site | 10 | 1 | |
| dupple.com | Web | 10 | 9 | |
| geekflare.com | Web | 10 | 9 | |
| microsoft.com | Web | 10 | 5 | |
| mixpeek.com | Web | 10 | 9 | |
| redis.io | Brand site | 10 | 7 | |
| rework.com | Web | 10 | 9 | |
| amazon.com | Web | 9 | 5 | |
| elastic.co | Brand site | 7 | 7 | |
| supabase.com | Brand site | 7 | 5 | |
| actian.com | Brand site | 6 | 6 | |
| mongodb.com | Brand site | 6 | 5 |
All vendors in Vector Databases
Every Vector Databases brand tracked by SlateIndex.
Compare the leaders
Vector Databases in AI answers: questions
Which Vector Databases software do AI assistants recommend most?
Pinecone, Qdrant and PostgreSQL are recommended most often. Pinecone leads with an AI visibility score of 71.8 and appears in 82% of answers (data of Nov 2, 2026).
Which Vector Databases tool do ChatGPT, Perplexity and Google AI Mode recommend?
ChatGPT puts Pinecone first (77), Perplexity puts Pinecone first (61.1) and Google AI Mode puts Pinecone first (77.4).
Which sources do AI engines cite for Vector Databases?
qdrant.tech (5.3%), pinecone.io (5%) and github.com (4.1%) are cited most often in answers about Vector Databases.
How is the Vector Databases ranking calculated?
SlateIndex asks ChatGPT, Perplexity and Google AI Mode 30 Vector Databases buyer questions every week and scores each brand by how often and how high it appears in their answers. The methodology page has the formulas.
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Cite as: SlateIndex, “Vector Databases AI visibility leaderboard”, https://slateindex.ai/category/vector-databases, data of Nov 2, 2026. Licence: CC BY 4.0.