Does Google's AI Overview cite docs.qdrant.io?

Yes. Across the 4,185 queries measured in week 2026-W36, Google's AI Overview cited docs.qdrant.io on 13 of them, including 11 where the domain does not rank organically.

How well does docs.qdrant.io rank?

It appears on page one for 32 of 4,185 measured queries, at an average position of 4.7, with a best observed position of 1.

docs.qdrant.io — search visibility and AI Overview citations

2026-W36

Visibility

Queries ranked

32

of 4,185 measured

Average position

4.7

best seen: 1

Top three finishes

13

5 at position one

AI Overview citations

13

11 without ranking

Week on week

-6%

vs 2026-W35

Google credits docs.qdrant.io in its own answer on 11 queries where the domain does not appear in the ten organic results. That gap is the whole argument for measuring citations separately from rankings.

Topics

Where it shows up

Vector databases 45

Citations

Queries where Google cites it

Query	Status	Topic
Pinecone review	Cited, not ranking	Vector databases
Weaviate tutorial	Cited, not ranking	Vector databases
Qdrant rate limits	Cited, not ranking	Vector databases
Milvus review	Cited, not ranking	Vector databases
what is Milvus	Cited, not ranking	Vector databases
Chroma rate limits	Also ranking	Vector databases
Redis Vector best practices	Cited, not ranking	Vector databases
what is OpenSearch	Also ranking	Vector databases
LanceDB rate limits	Cited, not ranking	Vector databases
FAISS pricing	Cited, not ranking	Vector databases
FAISS example	Cited, not ranking	Vector databases
how to use Typesense	Cited, not ranking	Vector databases
Redis Vector vs Elasticsearch	Cited, not ranking	Vector databases

Rankings

Queries where it ranks

#	Query	Topic
1	vector databases pricing comparison	Vector databases
1	pgvector best practices	Vector databases
1	Vespa documentation	Vector databases
1	Turbopuffer pricing	Vector databases
1	FAISS review	Vector databases
2	Elasticsearch python	Vector databases
2	what is OpenSearch	Vector databases
2	FAISS vs Typesense	Vector databases
3	Pinecone rate limits	Vector databases
3	Vespa not working	Vector databases
3	Turbopuffer best practices	Vector databases
3	Turbopuffer rate limits	Vector databases
3	what is Meilisearch	Vector databases
4	Weaviate best practices	Vector databases
4	OpenSearch best practices	Vector databases
4	Vectorize alternatives	Vector databases
4	Typesense review	Vector databases
4	Weaviate vs Chroma	Vector databases
5	Qdrant python	Vector databases
6	Pinecone best practices	Vector databases
6	OpenSearch python	Vector databases
6	Turbopuffer alternatives	Vector databases
6	Vespa vs Vectorize	Vector databases
7	Chroma alternatives	Vector databases
7	FAISS alternatives	Vector databases
8	Qdrant not working	Vector databases
8	how to use Chroma	Vector databases
8	Meilisearch not working	Vector databases
9	what is Weaviate	Vector databases
9	is Weaviate free	Vector databases
9	Chroma rate limits	Vector databases
10	what is Vespa	Vector databases

API

Track any domain yourself

This page is an aggregate of ordinary search calls — one per query, once a week. Nothing here needs a special endpoint or a rank-tracking contract.

curl --request GET \
  --url 'https://serpens.p.rapidapi.com/api/v1/search?q=site%3Adocs.qdrant.io&gl=us&hl=en&format=json' \
  --header 'x-rapidapi-host: serpens.p.rapidapi.com' \
  --header 'x-rapidapi-key: YOUR_KEY'

Build this for your own domain

Free tier, no card. One endpoint returns organic results, the AI Overview and its citations together, so ranking and citation come out of the same call.

Get a free API key