16 companieschecked Aug 4, 2026, 12:00 AM UTCdailyhow we measure this →CSV / JSON

As of

In front today

Qdrant

26.9%citation share

Ahead of second place: 0%
Held by the top three: 65%
Middle of the board: 1.9%
Below half the leader: 14 of 16

Highest 26.9%Middle 1.9%

Rank 1one bar per published rowRank 16

26 checks behind each row · 100% confidence across rows.

Vector Databases citation share current rankings
Rank	Name	Citation share	Mention coverage	Share of names	Cited as source	Change	Why
01	Qdrant	26.9%	30.56% · 11 / 36	15.71% · 11 / 70	26.92% · 7 / 26	1	Showing My rank
02	Redis	26.9%	25% · 9 / 36	12.86% · 9 / 70	26.92% · 7 / 26	4	This rank My rank
03	Pinecone	11.5%	33.33% · 12 / 36	17.14% · 12 / 70	11.54% · 3 / 26	2	This rank My rank
04	Amazon OpenSearch Service	11.5%	13.89% · 5 / 36	7.14% · 5 / 70	11.54% · 3 / 26	1	This rank My rank
05	Weaviate	7.7%	30.56% · 11 / 36	15.71% · 11 / 70	7.69% · 2 / 26	3	This rank My rank
06	Google Vertex AI Vector Search	7.7%	5.56% · 2 / 36	2.86% · 2 / 70	7.69% · 2 / 26	5	This rank My rank
07	Zilliz Cloud / Milvus	3.8%	22.22% · 8 / 36	11.43% · 8 / 70	3.85% · 1 / 26	6	This rank My rank
08	Azure AI Search	3.8%	2.78% · 1 / 36	1.43% · 1 / 70	3.85% · 1 / 26	1	This rank My rank
09	Chroma	0.0%	11.11% · 4 / 36	5.71% · 4 / 70	0% · 0 / 26	3	This rank My rank
10	Supabase Vector	0.0%	5.56% · 2 / 36	2.86% · 2 / 70	0% · 0 / 26	6	This rank My rank
11	Elasticsearch	0.0%	2.78% · 1 / 36	1.43% · 1 / 70	0% · 0 / 26	2	This rank My rank
12	LanceDB	0.0%	2.78% · 1 / 36	1.43% · 1 / 70	0% · 0 / 26	3	This rank My rank
13	MongoDB Atlas Vector Search	0.0%	2.78% · 1 / 36	1.43% · 1 / 70	0% · 0 / 26	4	This rank My rank
14	Turbopuffer	0.0%	2.78% · 1 / 36	1.43% · 1 / 70	0% · 0 / 26	10	This rank My rank
15	Vespa	0.0%	2.78% · 1 / 36	1.43% · 1 / 70	0% · 0 / 26	1	This rank My rank
16	Cloudflare Vectorize	0.0%	0% · 0 / 36	0% · 0 / 70	0% · 0 / 26	6	This rank My rank

Primary brandPrompt intentAnswer enginePrompt contains

Run live test

Answer presence33.3%12/36 filtered answers mention or cite Pinecone

Selected-set share28.6%Share of answer-presences among the compared brands, not market share

Owned citation answers33 answer-level URL signals on reviewed owned domains

Engine breadth3/3Engines with at least one observed presence

Filtered competitive answer-presence comparison
Brand	Presence	Vs. primary	Selected share	Mentions	Cited answers	Owned URL signals	Engine breadth
Pineconepinecone.io	33.3%12/36	BASE	28.6%	22	3	3	3/3
Qdrantqdrant.tech	30.6%11/36	-2.8 pp	26.2%	21	7	7	3/3
Weaviateweaviate.io	30.6%11/36	-2.8 pp	26.2%	21	2	2	3/3
Zilliz Cloud / Milvuszilliz.com	22.2%8/36	-11.1 pp	19.0%	15	1	1	3/3

ANSWER-LEVEL OBSERVATIONS

Prompt × engine matrix

12 prompts · 36 immutable answer hashes · empty cells mean no compared brand was detected.

Brand presence by public prompt and answer engine
Public prompt	OpenAIopenai/gpt-4o-mini	Anthropicanthropic/claude-haiku-4-5	Geminigoogle/gemini-2.5-flash
01 What are the best managed vector database platforms for a production retrieval-augmented generation application?recommendation	PineconeWeaviateQdrantZilliz Cloud / Milvus 6 source URLs`73d2a629`	No selected brand 0 source URLs`a4f4518b`	PineconeWeaviateQdrantZilliz Cloud / Milvus 5 source URLs`0b21caac`
02 Recommend an open-source vector database that an engineering team can self-host in its own cloud account.recommendation	WeaviateQdrant · C1Zilliz Cloud / Milvus 6 source URLs`4399d0d7`	WeaviateQdrant · C1Zilliz Cloud / Milvus 4 source URLs`113cd773`	WeaviateQdrant · C1Zilliz Cloud / Milvus · C1 8 source URLs`83a96a13`
03 Which enterprise vector retrieval services offer private networking, access controls, compliance, and regional deployment?recommendation	PineconeQdrant · C1Zilliz Cloud / Milvus 8 source URLs`4f0dfc73`	No selected brand 0 source URLs`b77bc104`	No selected brand 9 source URLs`f6d9cbbe`
04 What is the best production data platform for combining keyword retrieval, semantic retrieval, metadata filters, and reranking?recommendation	Pinecone · C1 6 source URLs`4281c148`	No selected brand 0 source URLs`d2867377`	No selected brand 8 source URLs`31edcbe3`
05 Recommend a vector retrieval platform for searching text, images, audio, and other multimodal embeddings.recommendation	PineconeWeaviate · C1 6 source URLs`4419c98e`	No selected brand 0 source URLs`adb07fba`	Weaviate · C1 9 source URLs`3d98fbd9`
06 Which vector database is best for a multi-tenant SaaS product that needs namespace isolation and filtered retrieval?recommendation	PineconeWeaviateQdrant · C1 6 source URLs`62b39374`	No selected brand 0 source URLs`df22bcfd`	Pinecone · C1 7 source URLs`8a04de2b`
07 Recommend a low-latency vector search system for a workload that may grow to billions of embeddings.recommendation	PineconeWeaviateQdrantZilliz Cloud / Milvus 5 source URLs`614f7b67`	No selected brand 0 source URLs`15b3bd6a`	No selected brand 9 source URLs`e9e2d1cd`
08 What is the best serverless or usage-based vector database for a startup with an unpredictable retrieval workload?recommendation	PineconeWeaviateZilliz Cloud / Milvus 5 source URLs`3b137057`	Pinecone 0 source URLs`46be3e9b`	PineconeWeaviateQdrant 6 source URLs`b5a76a87`
09 How should a team compare vector database pricing across storage, ingestion, read throughput, replicas, and idle capacity?commercial	No selected brand 7 source URLs`96d0de58`	No selected brand 0 source URLs`49a77a15`	Pinecone · C1 5 source URLs`e8f902b4`
10 When should a team buy a dedicated vector database instead of adding embedding search to its existing operational database?commercial	No selected brand 7 source URLs`e9bad510`	No selected brand 0 source URLs`dbd1788b`	No selected brand 6 source URLs`3961e665`
11 Which buying criteria matter most for production vector retrieval, including recall, latency, filtering, durability, and operations?commercial	No selected brand 8 source URLs`866cf4dc`	No selected brand 0 source URLs`f272c0c9`	Qdrant · C1 6 source URLs`6d1fad5b`
12 How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost?commercial	Qdrant · C1 6 source URLs`94e99e07`	No selected brand 0 source URLs`40afc1af`	No selected brand 6 source URLs`18d8fe68`

STRUCTURED CITATION LEDGER

Sources shaping this filtered view

Hostnames are derived from validated public HTTP(S) URLs, not provider-supplied domain labels.

Validated citation sources in filtered answers
Source hostname	Cited answers	Distinct URLs	Engine breadth	Best position
reddit.com ↗	13	10	2	#1
medium.com ↗	9	9	2	#1
qdrant.tech ↗	7	5	3	#1
redis.io ↗	7	3	2	#1
arxiv.org ↗	5	4	2	#2
firecrawl.dev ↗	5	1	3	#1
zenml.io ↗	5	1	3	#1
youtube.com ↗	4	4	2	#3
linkedin.com ↗	4	3	2	#3
pingcap.com ↗	3	2	2	#1
ranksquire.com ↗	3	2	2	#1
dev.to ↗	3	2	2	#3
openmetal.io ↗	3	1	2	#1
blogs.oracle.com ↗	2	2	2	#1
docs.databricks.com ↗	2	2	2	#1
pinecone.io ↗	2	2	1	#1
scylladb.com ↗	2	2	1	#1
topk.io ↗	2	2	2	#1
weaviate.io ↗	2	2	2	#1
couchbase.com ↗	2	2	2	#2

PUBLIC-BENCHMARK PRIVACY BOUNDARY

This report contains only code-reviewed public prompts, deterministic brand counts, answer hashes, and validated structured citation URLs. Full model answers are neither stored nor published here. No customer, organization, or private tracked-prompt data is included.

vector-database-platforms-2026-07-27 / 4-vector-database-platforms-2026-07-27-models-64232fd32583

Published rank: #1
Score: 26.923 percent
Sample size: 26

100% confidence · 100% component coverage · as of Aug 4, 2026, 12:00 AM UTC

SCORE CONSTRUCTION

Component ledger

14/14 evidenced

All components available · 1 evidence record each

Components contributing to Qdrant's rank
Component	Value	Weight	Contribution
public prompt anthropic brand citation share	100	0%	—
public prompt anthropic brand mention coverage	8.333333	0%	—
public prompt anthropic brand recommendation presence	12.5	0%	—
public prompt brand citation share	26.923077	100%	26.923
public prompt brand engine breadth	3	0%	—
public prompt brand mention coverage	30.555556	0%	—
public prompt brand mention share	15.714286	0%	—
public prompt brand recommendation presence	37.5	0%	—
public prompt gemini brand citation share	13.333333	0%	—
public prompt gemini brand mention coverage	33.333333	0%	—
public prompt gemini brand recommendation presence	37.5	0%	—
public prompt openai brand citation share	40	0%	—
public prompt openai brand mention coverage	50	0%	—
public prompt openai brand recommendation presence	62.5	0%	—

WHY IT MOVED

up since prior snapshot

+1 ranks

public prompt anthropic brand citation share7.692 → 100
+92.308
public prompt anthropic brand recommendation presence75 → 12.5
-62.5
public prompt anthropic brand mention coverage58.333 → 8.333
-50
public prompt brand recommendation presence58.333 → 37.5
-20.833
public prompt brand mention coverage47.222 → 30.556
-16.667
public prompt brand citation share13.333 → 26.923
+13.59
public prompt openai brand citation share26.667 → 40
+13.333
public prompt gemini brand recommendation presence25 → 37.5
+12.5
public prompt openai brand recommendation presence75 → 62.5
-12.5
public prompt gemini brand mention coverage25 → 33.333
+8.333
public prompt openai brand mention coverage58.333 → 50
-8.333
public prompt gemini brand citation share5.882 → 13.333
+7.451
public prompt brand mention share16.832 → 15.714
-1.117
public prompt brand engine breadth3 → 3
0

PRIMARY EVIDENCE

Source trail

14 public records

Anthropic citation sharepublic prompt anthropic brand citation share · observed Aug 4, 2026, 12:00 AM UTC100 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Anthropic mention coveragepublic prompt anthropic brand mention coverage · observed Aug 4, 2026, 12:00 AM UTC8.333 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Anthropic recommendation-prompt presencepublic prompt anthropic brand recommendation presence · observed Aug 4, 2026, 12:00 AM UTC12.5 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Citation sharepublic prompt brand citation share · observed Aug 4, 2026, 12:00 AM UTC26.923 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Engine breadthpublic prompt brand engine breadth · observed Aug 4, 2026, 12:00 AM UTC3 engines100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Mention coveragepublic prompt brand mention coverage · observed Aug 4, 2026, 12:00 AM UTC30.556 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Reviewed-brand presence sharepublic prompt brand mention share · observed Aug 4, 2026, 12:00 AM UTC15.714 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Recommendation-prompt presencepublic prompt brand recommendation presence · observed Aug 4, 2026, 12:00 AM UTC37.5 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Gemini citation sharepublic prompt gemini brand citation share · observed Aug 4, 2026, 12:00 AM UTC13.333 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Gemini mention coveragepublic prompt gemini brand mention coverage · observed Aug 4, 2026, 12:00 AM UTC33.333 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
Gemini recommendation-prompt presencepublic prompt gemini brand recommendation presence · observed Aug 4, 2026, 12:00 AM UTC37.5 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Open primary evidence ↗
OpenAI citation sharepublic prompt openai brand citation share · observed Aug 4, 2026, 12:00 AM UTC40 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
OpenAI mention coveragepublic prompt openai brand mention coverage · observed Aug 4, 2026, 12:00 AM UTC50 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗
OpenAI recommendation-prompt presencepublic prompt openai brand recommendation presence · observed Aug 4, 2026, 12:00 AM UTC62.5 percent100% confidence
Source
Rank.ai Vector Databases Prompt Benchmark
Grade
A
Freshness
fresh
Locator
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Open primary evidence ↗

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Plain textVector Databases Citation Share. Rank.ai, data as of August 4, 2026. https://www.rank.ai/rankings/vector-databases/vector-database-platforms-brand-citation-share
HTML<a href="https://www.rank.ai/rankings/vector-databases/vector-database-platforms-brand-citation-share">Vector Databases Citation Share</a> — Rank.ai, data as of August 4, 2026
Markdown[Vector Databases Citation Share](https://www.rank.ai/rankings/vector-databases/vector-database-platforms-brand-citation-share) — Rank.ai, data as of August 4, 2026
APARank.ai. (2026). Vector Databases Citation Share. Retrieved September 10, 2026, from https://www.rank.ai/rankings/vector-databases/vector-database-platforms-brand-citation-share

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<p style="font-size:12px">Source: <a href="https://www.rank.ai/rankings/vector-databases/vector-database-platforms-brand-citation-share">Vector Databases Citation Share</a> by Rank.ai</p>

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