CONTENT CREATION
Evergreen Post Refresh: Competitor Data Watch & Post Flagging
Monitors competitor pages for newly published statistics, matches them to your own posts on the same topic.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires
- ActionScrape competitor pagesFirecrawl
- ActionExtract fresh stats and topics (LLM)OpenAI
- LogicMatch topics to your posts and compare data recency
- ActionDraft refresh brief for outdated posts (LLM)OpenAI
- OutputOpen Linear issue with brief and competing sourceLinear
What it does
Guards your ranking content against being out-numbered. The workflow watches a set of competitor URLs, detects when they publish a newer figure on a topic you also cover, finds your matching post, and files a tracked task so you can refresh before the competitor outranks you.
When to use it
You compete on data-driven SEO content and a rival cited a 2026 number while your post still quotes 2023. You want to learn about that gap from a task in your tracker, not from a traffic drop.
How it works
- 1A daily schedule triggers the watch.
- 2Firecrawl scrapes the configured competitor pages.
- 3An LLM extracts each fresh statistic and its topic.
- 4A logic step matches those topics to your own post catalog and compares figures.
- 5When a competitor's data is newer than yours, the LLM drafts a refresh brief naming the gap.
- 6Open a Linear issue with the brief, the competing source, and a link to your post.
Set it up
What you configure once, before turning it on.
- 1Connect FirecrawlCrawl, scrape, structured extract.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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