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Practical case studies and honest takes on using AI for business. Real implementations, real results — no fluff, no jargon.

Peec AI MCP Deep Dive: How AI Search Data Becomes Agentic GEO Execution
Peec AI MCP turns AI visibility data into an agent-readable data layer. The winning workflow is not dashboard replacement; it is measured, source-led execution.

How to Build a Claude Plugin with Peec AI MCP
A plugin gives Claude repeatable instructions. Peec AI MCP gives it live AI-search data. The boundary between them is what makes the system safe.

How to Build Claude Agents with Peec AI MCP: The AI Search Blog Optimiser Example
Use the AI Search Blog Optimiser as the public example: Peec reads the market, Claude creates the evidence, and the harness decides what ships.

How to Optimise Your Blog with Claude Code and Peec AI MCP
A practical GEO workflow for turning Peec AI prompt/source evidence into Claude Code blog improvements.

How to Use Peec AI MCP with Claude Cowork
Claude Cowork can turn Peec AI visibility data into recurring growth briefings when the workflow is bounded, reviewed, and evidence-led.

How to Use Peec AI MCP with Claude Code
A practical Claude Code workflow for connecting Peec AI MCP, reading source gaps, and shipping reviewed blog and GEO improvements.

Best AI Search Agencies for B2B Companies: GEO Audit, Content, and Agentic Execution
The best AI search agency for a B2B company is not just a content shop or a dashboard reseller. It should measure prompt-level visibility, explain why AI engines recommend competitors, and turn the source gaps into shipped work.
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