1. SEO data as a dataset

Most SEO tools show you a dashboard. A SEO dataset is the same underlying data (keyword demand, ranking position, SERP features, click-through behavior) packaged as structured rows and fields instead: something you can join against other data, feed into a model, or hand to an analyst who has never opened a rank tracker. If you're building or training against search behavior rather than just watching it, this is what you're looking for. A worked example: Datasets Maker's SEO Keyword & Ranking Dataset, or its longer guide on the concept.

2. SEO data as a product

The second intent is commercial: an ongoing SEO data feed you license rather than a one-time export, refreshed on a schedule and delivered in a consistent format for a subscriber to integrate. This is the productized version of the dataset above.

3. Dataset SEO as an open protocol

This site adds a third meaning, and it's the one it's actually built to test: measuring a site's own AI-era visibility and readiness as a structured, versioned dataset. The Digital Karma Score (currently version 6.1) is the instrument. It is not a proven, validated system, and nothing on this site claims it predicts search or AI visibility. It's a hypothesis being tested live across 102 real properties Krisada owns, with the methodology itself versioned and dated like any other changelog, not marketed as a finished product.

If you want to see what that looks like in practice rather than take it on faith, the Experiment Log is a dated build log, not a growth report, and the underlying methodology is open enough that someone outside this portfolio could look at it and adapt the same approach to their own properties.

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