Competitive research with an AI agent
Competitive research with an agent is two steps: find sources, then read the few that matter. Your agent searches the web with web__search, reads pricing pages and changelogs with web__scrape, and writes a one-page brief to Notion with a source on every claim. No search provider account is needed; each call is priced in credits.
The job: Find competitor sources with web search, read only the pages that matter, and write a one-page brief to Notion.
Paste this into Claude Code, Codex or Cursor
set up https://corespeed.io/SKILL.md (read it raw, e.g. with curl), then research our three closest competitors: find their pricing, recent launches and docs with web search, read only the pages that matter, and write a one-page brief to Notion with a source link on every claim.Set up first
Nothing for the research: no search provider account, and each call is priced in the catalog. When the brief is ready, your agent asks you to connect Notion if it is not connected yet.
The tools it calls
web__searchFind sources: pricing, launches, docs
web__scrapeRead the pages that matter
web__google_searchSee how each one ranks on Google
notion__create_pageWrite the brief to Notion
memory__rememberSave what changed, for next quarter
Every tool and its price:/catalog/web/catalog/notion
Steps
- 1
Name your competitors
Paste the prompt into Claude Code, Codex or Cursor. Name the three, or let it find them.
- 2
Let it search, then read
Search returns sources, not answers. It reads only the few pages that matter.
- 3
Review the brief
Every claim links its source. Check the ones you will act on.
