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Tuesday, July 7, 2026  ·  4 stories

AI Prepared Daily

The morning briefing for marketing & data professionals.

Happy Tuesday. Here’s what’s moving in AI, data, and martech today.

Your Executive Summary

  • Search Console now reports Instagram, TikTok, X, YouTube performance — This is first-party data on your social content's search visibility that never existed before, so have someone verify your brand's platform properties as soon as the option appears.
  • ChatGPT Ads adds audience list uploads, 25,000 matched user minimum — ChatGPT Ads is starting to look like a conventional ad platform, so decide now how your first-party data governance treats identifier uploads to OpenAI.
  • Dentsu wires Meta's Creator Marketplace APIs into its planning stack — Creator activation is becoming programmatic plumbing, so ask your agency what data feeds their creator selection and how performance flows back into your measurement.
  • dbt Core v1.12 first release candidate ships Fusion compatibility — If your transformation pipelines pin dbt Core, run the RC in a branch now so Fusion-era config changes do not surprise you at GA.

▸ MarTech/AdTech  ·  Search Engine Land

Search Console now reports Instagram, TikTok, X, YouTube performance

Google Search Console added platform properties, letting teams see how their social and video content performs in Google Search across Instagram, TikTok, X, and YouTube. Clicks, impressions, and query data appear in Performance and Insights reports, with export supported and rollout happening over the coming weeks.

The bottom line: This is first-party data on your social content's search visibility that never existed before, so have someone verify your brand's platform properties as soon as the option appears.

Check out the full article →

▸ Data Engineering  ·  dbt Labs release notes

dbt Core v1.12 first release candidate ships Fusion compatibility

dbt Labs published the first release candidate of dbt Core v1.12, adding support for dbt Fusion-specific warn_error_options names, removing the experimental dbt login command, and fixing intermittent parsing errors in unit tests for versioned models. It is the first Core cut aligned with the Fusion engine era.

The bottom line: If your transformation pipelines pin dbt Core, run the RC in a branch now so Fusion-era config changes do not surprise you at GA.

Check out the full article →

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