Programmatic SEO/AEO Content Engine for Product Launches
A product launch is a content opportunity most teams underuse. This workflow takes your launch documentation and turns it into a programmatic SEO and AEO content engine: AirOps MCP maps every use case across your new integrations, queries LLM search frequency data to prioritize which ones to build first, and ports everything into an AirOps Grid so you can auto-generate dozens of targeted landing pages in an afternoon.
Process
Upload your launch documentation
Feed your product documentation and launch brief to Claude via AirOps MCP to create a working knowledge base for the workflow.
Map every use case
Ask Claude to generate a comprehensive list of use cases for each integration, breaking down the old manual approach and how the new tool solves each problem.
Prioritize by LLM search frequency
Query search and LLM frequency data to understand which use cases are actively being searched in AI tools, so you can prioritize which pages to build first.
Build a content template
Work with Claude to create a repeatable blog page template: hook, native method walkthrough, AirOps solution, comparison table, related use cases, and FAQ.
Port to a Grid and generate content at scale
Use AirOps MCP to push all use case and tool combinations into a Grid with target prompts, slugs, and context fields. Run a workflow to auto-generate content for every row.
Key benefits
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Related use cases
Audit any prospect's AI search presence and generate a personalized, data-driven pitch document in under five minutes using AirOps MCP, Insights 360, and your brand kit.
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Monitor competitor signals in Slack, approve the ones that matter, and automatically generate a full campaign kit with persona emails, competitive themes, and a Notion stakeholder page — all within 48 hours of a competitive event.
Automate customer sentiment research across app stores, Trustpilot, and Reddit with a single prompt. Get both a detailed executive report and a shareable HTML dashboard in minutes.
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Use AirOps MCP to pull Reddit threads about a product or category, then structure them into a Grid showing exact customer language, pain points, categories, and content ideas grounded in real conversations.
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Automatically extract customer quotes and key statistics from your AirOps story-building Grid and push them into a Notion evidence library, complete with metadata for company, speaker, and topic.
Pull AEO tracking data from AirOps via MCP and auto-generate branded client reports in four formats: interactive HTML, Excel workbook, executive briefing, and narrative analysis, all with a single command.