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Building an Evidence-First SEO Audit Queue in TypeScript
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Building an Evidence-First SEO Audit Queue in TypeScript

DEV Community: typescript·Orçun Altay·2 days ago
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A Lighthouse score or a missing meta description can be useful diagnostic information. It is not, by itself, a reason to contact a business.

For an agency, the more useful unit of work is an evidence-backed review candidate : a real company, a reasonably matched website, a reproducible finding, and enough context for a person to decide whether a conversation would make sense.

This post builds a small TypeScript triage layer for that workflow. The code is intentionally illustrative, not a production crawler or a lead-generation shortcut.

1. Keep identity, evidence, and decisions separate

A good pipeline should avoid collapsing three very different questions:

Entity matching: Does this website probably belong to the company being considered?

Technical observation: Can we reproduce a particular issue on a particular URL?

Commercial judgment: Would reviewing this issue be useful for an agency and its potential client?

The third question should remain a human decision.…

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