DatasetSEO tracks the visibility of Krisada's portfolio of web properties.
Different properties raised different questions, so we built a separate tool for each job. This page brings those tools together, explains why each one exists, and helps you choose the right one for your own site.
These tools grew out of work on the properties DatasetSEO tracks. Each one looks at a different part of visibility.
Fastest first look
We needed a quick, repeatable first reading for any portfolio page before deciding where to look deeper.
How visible does this page look right now?
Get a visibility temperature from 0 to 100 across search visibility, AI discoverability, technical access, and content and entity strength for the page you want to check.
Best when you want one quick reading before deciding whether a deeper check is worth your time.
AI retrieval
Some pages were live and crawlable but still hard for AI systems to retrieve, quote, or connect to the right publisher.
Can AI retrieve, extract, and attribute this page?
See whether an AI retrieval system can reach the page, pull out a useful answer, identify the publisher, and read its machine-readable signals. Failed checks include specific fixes.
Best when the page is live but you need to know what may stop an AI system from using it.
Repair decision
A score by itself did not tell us whether a page needed a few fixes or a larger rebuild.
Does this page need a tune-up or a rebuild?
Run a fast URL inspection across discovery, page structure, entity clarity, AI readiness, and content signals. Findings are sorted into quick fixes, items to investigate, and structural work.
Best when you need a practical repair list and want to know how large the job is.
Federation implementation
The Digital Karma protocol runs across several portfolio properties, so we needed one public check for whether each site follows the same standard.
Does this domain meet the Digital Karma Federation v8.2 baseline?
Check the seven required artifacts, rendered Dataset proof, Schema.org coverage, freshness, federation relationships, technical quality, and dataset quality behind the domain's score.
Best for checking protocol implementation across a whole domain. It does not estimate rankings or AI citations.