Domain
merriam-webster.com
How merriam-webster.com performs across a fixed corpus of 4,170 queries, measured every week.
Measured 2026-W36 · 2026-08-31 · google.com, gl=us
2026-W36
Visibility
Queries ranked
18
of 4,170 measured
Average position
3.5
best seen: 1
Top three finishes
9
5 at position one
Named in AI Overviews
5
always alongside a ranking
Every time Google names merriam-webster.com in an answer, the domain also ranks organically for that query.
Topics
Where it shows up
Named
Queries where Google names it
| Query | Status | Topic |
|---|---|---|
| what is Majestic | Also ranking | SEO tools |
| what is Prefect | Also ranking | Data pipelines |
| Arrow example | Also ranking | Data pipelines |
| Neon example | Also ranking | Databases |
| what is requests | Also ranking | Python |
Rankings
Queries where it ranks
| # | Query | Topic |
|---|---|---|
| 1 | what is Colly | Web scraping |
| 1 | Majestic example | SEO tools |
| 1 | what is Majestic | SEO tools |
| 1 | Majestic alternatives | SEO tools |
| 1 | what is Arrow | Data pipelines |
| 2 | how to use Majestic | SEO tools |
| 2 | Wincher example | SEO tools |
| 3 | what is Replicate | LLM APIs |
| 3 | ranking history explained | Rank tracking |
| 4 | Arrow example | Data pipelines |
| 4 | what is Pipedream | API marketplaces |
| 4 | Neon example | Databases |
| 5 | Colly alternatives | Web scraping |
| 5 | what is Chroma | Vector databases |
| 5 | Remix example | JavaScript and TypeScript |
| 6 | what is Prefect | Data pipelines |
| 7 | what is requests | Python |
| 8 | Honeycomb example | Observability |
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%3Amerriam-webster.com&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.