Runcell is an AI agent for Jupyter notebooks that automates writing Python code, executing cells, debugging, and explaining data analysis results in real time.
Agent Memory
Code Generation
Data Analysis
SIGPIK VERDICT · Sep 2026
Runcell visits were roughly flat in Sep (7.9%)
Runcell’s organic search traffic went from 129.7K to 154.4K visits in one month, mostly from the non-brand terms below. In the same window, Runcell’s Sitemap added 7 pages, mostly under /skills. The timing overlaps — worth a closer look.
Non-brand terms are traffic anyone can compete for; higher CPC means higher commercial value.
Keyword
Traffic
CPC
Rank
ipynb to pdfNon-brand
7.4K
$3.76
1
ipynb to htmlNon-brand
2.3K
$5.28
2
ipynb to html converterNon-brand
1.4K
$6.63
3
true size ofNon-brand
1.1K
—
4
true size of countriesNon-brand
900
$0.37
5
Borrow: Most of its search traffic comes from non-brand terms (e.g. “ipynb to pdf”, “ipynb to html”). Find the needs your product also serves and capture them with tool or landing pages.
AI referrals · ChatGPT, Copilot… — AI referrals are early — not a growth source yet
0 visits from AI assistants (previous month 836), 0% of all traffic.
Borrow: No need to follow yet; watch whether it scales next month.
Above is what we observe automatically. The reconstruction starts from these moments, searches launches, community threads, directory listings and backlinks from the same period, fills in what Runcell did at each step, and gives you a sequence to follow.
Promotion timeline with original sources
Traffic before and after each channel
Exportable launch action list
Unlock Runcell’s promotion research & launch action pack
Review launch channels, backlink evidence and marketing milestones, then export your action checklist. A one-off purchase includes permanent access and regeneration for this product.
Each product uses its latest observed month; different months are not a same-period ranking.
Know the next time Runcell ships pages in bulk
We diff its Sitemap, backlinks and traffic daily and alert you only on real changes.
Method: visits and channel shares are third-party monthly estimates; channel change = monthly visits × channel share, month over month; site actions and traffic are shown by timing only, not as cause and effect.