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Named, but not ranking

How often Google names a brand in its answer while leaving it off page one.

Measured 2026-W36 · 2026-08-31 · google.com, gl=us

2026-W36

The gap

Named off page one
38.6%
of all names
Names per overview
2.1
average
Overviews naming someone
93.3%
of overviews recorded

Ranking on page one and being named in the answer above it are separate achievements. A study of 75,000 brands puts the correlation between brand mentions and AI Overview inclusion at 0.66, against 0.22 for backlinks — which makes this the number worth watching.

Widest

Queries with the widest gap

QueryNamed off page oneNames total
Flowise alternatives68
Pinecone alternatives67
Search Console alternatives66
Jaeger alternatives67
Express alternatives68
best vector databases57
Cloudflare Workers alternatives57
what is Hono57
Flask alternatives56
DataForSEO alternatives47
what is curl_cffi46
LangChain alternatives45
Pydantic AI alternatives46
Dify alternatives45
LangChain vs CrewAI45
Dify vs Flowise44
Dify vs Langflow45
OpenRouter alternatives45
vector databases comparison45
Chroma alternatives44
LanceDB alternatives46
best seo tools45
open source seo tools45
Surfer SEO alternatives45
Grafana alternatives46
OpenTelemetry vs Datadog44
PlanetScale alternatives46
Fastify alternatives47
tRPC alternatives46
Hono vs Fastify46
Method

The measurement behind it

A fixed corpus of 4,170 queries, run once a week from the United States through one endpoint, stored and never re-fetched. 4,170 observations across 1 weeks so far. The method is written out in full on how we measure.

curl --request GET \
  --url 'https://serpens.p.rapidapi.com/api/v1/search_ai_overview?q=best%20search%20apis&gl=us&hl=en&format=json' \
  --header 'x-rapidapi-host: serpens.p.rapidapi.com' \
  --header 'x-rapidapi-key: YOUR_KEY'

Reproduce any figure here

Free tier, no card. Same endpoint, same parameters — the corpus is the only thing you would need to supply.

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