MARKETING
Source-Authority Verifier for Mention Provenance
Takes a queue of detected brand mentions and runs an agent that verifies whether each source is a legitimate, authoritative publisher versus a scraper or syndication copy.
How it runs
The automated pipeline, trigger to output.
- TriggerNew unverified mention row addedAirtable
- ActionFetch page content and metadataFirecrawl
- ActionAgent classifies source authorityOpenAI
- LogicRoute out non-original sources
- OutputWrite provenance verdict to AirtableAirtable
What it does
Not every mention comes from a real, original source. This workflow inspects each detected mention and decides whether the publishing site is a legitimate authority, a syndicated reprint, or a low-quality scraper. It enriches your opportunity list with a defensible provenance verdict so you do not waste outreach on copies and spam.
When to use it
Run it as the verification stage after raw mentions have been collected, especially when your detector pulls a lot of aggregator and republished content. It is for teams that want outreach targeted only at the original, link-worthy publisher.
How it works
- 1New unverified rows in Airtable trigger the run.
- 2Firecrawl fetches each page's full content and metadata.
- 3An agent assesses publisher signals: original byline, canonical URL, publish date versus competitors, and whether the text appears syndicated.
- 4The agent classifies the source as authoritative, syndicated, or low-quality and explains its reasoning.
- 5A logic branch routes anything below the bar out of the outreach pool.
- 6The provenance verdict, original-source URL, and confidence are written back to the Airtable record.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect FirecrawlCrawl, scrape, structured extract.
- 3Connect OpenAIModels, embeddings, files.
- 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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