Domain
coursera.org
How coursera.org 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
47
of 4,170 measured
Average position
4.8
best seen: 1
Top three finishes
14
2 at position one
Named in AI Overviews
3
always alongside a ranking
Every time Google names coursera.org 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 |
|---|---|---|
| how to use Search Console | Also ranking | SEO tools |
| how does generative engine optimisation work | Also ranking | Generative engine optimisation |
| competitive intelligence explained | Also ranking | Market and brand research |
Rankings
Queries where it ranks
| # | Query | Topic |
|---|---|---|
| 1 | answer engine optimisation python | Generative engine optimisation |
| 1 | competitor tracking tutorial | Rank tracking |
| 2 | OpenAI API vs Cohere API | LLM APIs |
| 2 | how to use chunking strategy | Retrieval-augmented generation |
| 2 | how does generative engine optimisation work | Generative engine optimisation |
| 2 | how to use competitor tracking | Rank tracking |
| 2 | scikit-learn vs BeautifulSoup | Python |
| 2 | how to use competitive intelligence | Market and brand research |
| 2 | alternative data python | Market and brand research |
| 3 | generative engine optimisation for beginners | Generative engine optimisation |
| 3 | AI Overview python | Generative engine optimisation |
| 3 | answer engine optimisation example | Generative engine optimisation |
| 3 | best javascript and typescript | JavaScript and TypeScript |
| 3 | competitive intelligence python | Market and brand research |
| 4 | answer engine optimisation explained | Generative engine optimisation |
| 4 | what is answer engine optimisation | Generative engine optimisation |
| 4 | databases for beginners | Databases |
| 4 | what is BigQuery | Databases |
| 4 | NumPy pricing | Python |
| 4 | competitive intelligence best practices | Market and brand research |
| 5 | Selenium python | Web scraping |
| 5 | is RAG free | Retrieval-augmented generation |
| 5 | context window example | Retrieval-augmented generation |
| 5 | how to use Search Console | SEO tools |
| 5 | data pipelines for beginners | Data pipelines |
| 5 | what is Node.js | Serverless and edge |
| 5 | how does javascript and typescript work | JavaScript and TypeScript |
| 5 | pytest vs scikit-learn | Python |
| 6 | context window explained | Retrieval-augmented generation |
| 6 | how to use answer engine optimisation | Generative engine optimisation |
| 6 | competitor tracking best practices | Rank tracking |
| 6 | competitor tracking explained | Rank tracking |
| 6 | Node.js review | Serverless and edge |
| 6 | is BigQuery free | Databases |
| 6 | how does python work | Python |
| 6 | sentiment analysis python | Market and brand research |
| 6 | is GDPR free | Compliance and terms |
| 7 | Claude API tutorial | LLM APIs |
| 7 | semantic search explained | Retrieval-augmented generation |
| 7 | is Django free | Python |
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%3Acoursera.org&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.