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ClicLoop · built by Jason

Growth data for marketers and their AI agents.

Eight tools on one data layer. They show what ranks in Google, who ChatGPT recommends, which ads keep running and which local businesses to call, and they hand the same data to your agent.

Research

What the data says

Original studies from the data behind our products. Aggregates only, with the method and limits written down.

All research

Digest

The week in search and ads, read for you

Weekly digests with every claim linked to its source, plus what our own data shows.

Read past issues
  • SEO & GEO Weekly

    What changed in Google Search and in how AI answer engines pick sources, what practitioners are seeing, and one thing to do about it.

    Every Monday

  • Ads That Work Weekly

    Winning creative patterns, platform changes on Meta, TikTok and Google, and the AI UGC and video tools people actually use.

    Every Thursday

Get the weekly digests

One email per digest per week. Pick the ones you want.

Digests

Work with me

Two ways I can help

I take a small number of projects alongside the products, using the same data and tools.

Details and contact
  • AI-SEO for Shopify and local businesses

    Rank for the terms your buyers search and get named when they ask ChatGPT, Gemini or Claude.

    Who it's for: Shopify brands, local-service businesses and the agencies behind them

  • Growth-data agents for your team

    An agent that pulls competitor, search and ad data on a schedule and hands your team the next actions.

    Who it's for: Marketing teams and founders who already use Claude Code or Codex

From Jason

Why one person runs eight products

Every product here needs the same raw inputs: search results, ads, Maps listings, store data, AI answers. So I built the collection once and put eight front doors on it. When one scraper gets better, every product does.

I share what the data shows and the plays I run with it on X, most days.

Latest writingHow I run 8 marketing-data products solo with Claude CodeThey are not 8 products. They are one data layer with 8 front doors. The setup, what went wrong, and how to copy it.Read it