Every AI SEO team eventually asks the same question once volume climbs past a few dozen articles a month: does it make sense to keep paying per token, or run the models yourself?
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Somewhere between a hobby project generating a handful of articles a week and a production pipeline pushing out hundreds a month, the “just run a script” architecture stops working.
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Content decay detectors have a trust problem. Most flag anything with a downward line on a graph, then hand an SEO a spreadsheet of 200 “declining” URLs where 150 are normal seasonal noise.
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An AI SEO agent is only as good as the data it can pull on demand. The moment you wire Claude or a Python script into a live SEO API, pricing model and rate limits stop being a procurement detail and start being an architecture constraint.
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