Vector databases: AI search visibility ranking (2026)
How AI search engines rank vector databases by visibility and citations. 20 brands measured monthly across Google AI Mode: which brands the AI names in answers, which domains it cites as sources, and how the leaders compare. Vector databases used to store embeddings, run similarity search, and support retrieval-heavy AI applications and semantic discovery. Composite score: 70% visibility (% of AI answers naming the brand) + 30% citation rate (% citing the brand's domain). Full methodology →
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When buyers ask AI engines about Vector databases, pgvector emerges as the frontrunner. It leads the pack due to its significant visibility, with a notable 62.5% presence in AI-generated responses. Pinecone and Qdrant also frequently appear in recommendations, proving themselves as strong contenders within this category.
The rankings reflect the top cited sources such as medium.com and youtube.com, which play a considerable role in shaping perceptions. Notably, these include aggregator and review sites that summarize user experiences and expert analysis, providing a broad perspective on available options and contributing to the visibility of these brands.
For buyers evaluating options from this list, it's crucial to consider factors like recent reviews and third-party validation, as these are valued by AI engines. Focus on brands that demonstrate topical authority in specific subcategories, ensuring you choose a leader recognized for its relevance and reliability in Vector database technology.
At a glance
What we observed in this category
pgvector leads the vector databases category with a visibility score of 62.5%, well above the category average of 12.5% and ahead of Pinecone and Qdrant, which are tied at 50%. That 12.5-point gap between pgvector and its nearest rivals is meaningful because pgvector also rose from rank 2 to rank 1 this period, adding 37.5 visibility points. The composite score gap of 43.8 versus 38.8 reflects a lead that, while not enormous, is built on a significant visibility advantage rather than citation activity.
The most striking divergence between visibility and citation belongs to Redis, which holds zero visibility yet leads all brands on citation at 62.5%. Redis is referenced as a source by AI but is not surfaced in direct brand mentions, suggesting it functions as background evidence rather than a recommended product. Conversely, pgvector has zero citation despite topping visibility, meaning it is named frequently but its own domain is not being pulled as a cited source. This named-versus-trusted split is the defining tension in this category.
Google AI Mode is the dominant engine across every brand in the top 10, with no exceptions. The top cited sources are third-party content platforms including medium.com, youtube.com, reddit.com, and dev.to, alongside specific technical sites like encore.dev, firecrawl.dev, and zenml.io. The presence of redis.io in the cited sources list, combined with Redis holding a 62.5% citation rate, confirms that AI responses in this category anchor heavily on community and practitioner content rather than vendor-owned pages.
Movers & shakers since last refresh
Biggest visibility risers
-
pgvector 25% → 62% · rank #2 → #1+38pp
-
Weaviate 0% → 38% · rank #9 → #4+38pp
-
Pinecone 25% → 50% · rank #1 → #2+25pp
Biggest visibility fallers
-
Redis 12% → 0% · rank #4 → #5-12pp
The ranking
| # | Brand | Visibility | Citation | Top engine |
|---|---|---|---|---|
| 1 |
pgvector.org
|
62% | 0% | Google AI Mode |
pgvector leads all brands at 62.5% visibility, five times the category average, but holds a 0% citation rate, meaning AI names it without linking its domain. |
||||
| 2 |
pinecone.io
|
50% | 12% | Google AI Mode |
Pinecone matches Qdrant exactly at 50% visibility and 12.5% citation, both above the category averages, but dropped one rank as pgvector surged past it. |
||||
| 3 |
qdrant.tech
|
50% | 12% | Google AI Mode |
Qdrant shares an identical composite score of 38.8 with Pinecone, with equal visibility and citation rates, making rank 3 a statistical tie with rank 2. |
||||
| 4 |
weaviate.io
|
38% | 12% | Google AI Mode |
Weaviate is the biggest rank mover, jumping from 9th to 4th with a 37.5-point visibility gain from zero, now also earning a 12.5% citation rate for the first time. |
||||
| 5 |
redis.io
|
0% | 62% | Google AI Mode |
Redis holds the highest citation rate in the category at 62.5% despite zero visibility, a unique inversion where it is trusted as a source but not named as a product. |
||||
| 6 |
trychroma.com
|
25% | 0% | Google AI Mode |
| 7 |
milvus.io
|
12% | 12% | Google AI Mode |
| 8 |
zilliz.com
|
12% | 0% | Google AI Mode |
| 9 |
couchbase.com
|
0% | 12% | Google AI Mode |
| 10 |
elastic.co
|
0% | 0% | Google AI Mode |
| 11 |
vespa.ai
|
0% | 0% | Google AI Mode |
| 12 |
neo4j.com
|
0% | 0% | Google AI Mode |
| 13 |
singlestore.com
|
0% | 0% | Google AI Mode |
| 14 |
lancedb.com
|
0% | 0% | Google AI Mode |
| 15 |
datastax.com
|
0% | 0% | Google AI Mode |
| 16 |
typesense.org
|
0% | 0% | Google AI Mode |
| 17 |
oracle.com
|
0% | 0% | Google AI Mode |
| 18 |
mongodb.com
|
0% | 0% | Google AI Mode |
| 19 |
vald.vdaas.org
|
0% | 0% | Google AI Mode |
| 20 |
marqo.ai
|
0% | 0% | Google AI Mode |
Sources AI engines trust in this category
Across the 8 buyer-intent queries we ran on vector databases, these are the domains Google AI Mode cited most often. If you're not on this list — or if your competitors are — that's a concrete PR / linkbuilding target.
How to read this ranking
Four things worth knowing before you act on the numbers above. These are the same definitions across every industry page — for category-specific observations, see the What we observed section above (where available) and the per-brand insights inline in the ranking.
Visibility = being named
A brand's visibility % is the share of AI answers that mention it by name in the response prose. This is who AI engines actively recommend to the buyer. More on visibility →
Citation rate = being trusted
Citation rate is the share of AI answers that include the brand's domain as a clickable source link. This is what the AI treats as authoritative evidence, different from being named. More on citation rate →
Top engine differs by brand
The "top engine" column shows which AI surface each brand performs best on. Big gaps between a brand's score across engines usually points to specific content or schema gaps. How AI engines pick sources →
Rankings move month to month
AI engines re-crawl and re-rank on shorter cycles than classical search. We re-audit every brand on this list at least every 30 days and refresh this page automatically. How AI search ranking works →
Get your own vector databases brand audited
The brands above were curated from public market-leader lists. Want the same measurement against your own brand — including the queries you appear on, which competitors get named instead, and a prioritised fix list? Run a free preview.
Frequently asked about vector databases AI visibility
Who leads AI visibility in vector databases?
pgvector leads with 62.5% visibility, which is five times the category average of 12.5%. It rose from rank 2 to rank 1 this period, adding 37.5 visibility points.
Which vector database brand is most cited by Google AI Mode?
Redis holds the highest citation rate at 62.5%, far above the category average of 6.2%, even though it has zero visibility as a named brand recommendation.
What sources does AI cite most for vector database research?
The most cited sources are third-party platforms including medium.com, youtube.com, reddit.com, and dev.to, alongside technical sites like encore.dev, firecrawl.dev, and zenml.io.
Is there a brand in vector databases that is visible but not cited?
Yes, pgvector has 62.5% visibility but a 0% citation rate, meaning Google AI Mode mentions it frequently without linking to pgvector.org as a source.
Which vector database brands have grown AI visibility the most recently?
pgvector and Weaviate both gained 37.5 visibility points in the latest period, with Weaviate rising from zero to 37.5% and jumping five rank positions from 9th to 4th.
How concentrated is AI visibility in the vector databases category?
Visibility is highly concentrated at the top: the leading three brands hold 50% to 62.5% visibility while the category average sits at just 12.5%, and several brands including Redis and Elastic show zero visibility.