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Zapier AI Blog

Jun 10, 2026

How a two-person SEO shop is building an engine to run twelve clients in thirty minutes a month

Adrian Martinez, who runs the Toronto agency Hire Adrian with his wife, is building an AI delivery system to serve roughly twelve SEO and answer engine optimization clients while keeping the team at two people. The goal is to shrink hands-on work from 10 to 15 hours per client each month down to about 30 minutes, without hiring account managers. He pairs Claude for planning and decisions with Zapier MCP, which connects the agent to WordPress, reporting tools, and image generation so plans turn into real production work.

MarketingRead Summary

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Zapier AI Blog

Jun 10, 2026

The 17 best AI marketing tools in 2026

Zapier's 2026 roundup picks 17 AI marketing tools and sorts them by the job a marketer needs done, from making visuals to tracking whether a brand shows up in ChatGPT answers. The core message is that most marketers do not need every AI feature on the market. The author, who tested the tools, argues the bigger win comes from matching a few tools to real workflows and connecting them so they work together instead of in silos.

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Google Cloud AI

Jun 4, 2026

What's new for Managed Service for Apache Spark clusters

At Google Cloud, our goal is to let you run large-scale analytical and data science workloads with maximum efficiency so you can process big data pipelines, machine learning, and ETL tasks. We recently announced that the Dataproc service is now Managed Service for Apache Spark, reflecting our deep integration with the Agentic Data Cloud. To support the diverse architectural needs of today's modern data teams, we offer the service in two distinct deployment modes: serverless and managed clusters. The serverless deployment mode completely abstracts infrastructure management for ephemeral or ad-h

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