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automatelab-ai-seo

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TDQS

A4.2/5.0

Scored across 20 tools

Disambiguation4/5

The set contains many superficially similar tools (audit_page/audit_site/audit_sitemap, check_robots/check_sitemap/check_technical, three score_* tools), but every description includes explicit 'When to use' and 'Distinct from X' guidance that cleanly scopes each to a different resource or granularity. Only minor confusion is plausible (e.g. audit_page vs audit_site vs audit_sitemap, or AEO vs GEO rewrites), and the text resolves it. No tool appears to duplicate another's purpose.

Naming Consistency3/5

Most tools follow a verb_noun pattern (audit_page, check_robots, score_citation_worthiness, rewrite_aeo, diff_pages), but several flip to noun_verb (llms_txt_validate, llms_txt_generate, pricing_generate, report_save). The mix is still readable and groups logically, but it is not a single predictable convention.

Tool Count3/5

20 tools sits at the heavy end of the acceptable range. The domain is broad (audit, scoring, rewriting, generation, reporting) and most tools earn their place, but the audit/check/score clusters inflate the count beyond what a lean surface would need.

Completeness5/5

The surface covers the full AI-SEO lifecycle: page/domain/sitemap audits, schema, canonical, technical, robots, sitemap validation, four scoring tools, AEO/GEO rewriting, llms.txt and pricing generation, entity extraction, citation simulation, competitor diffing, and report export. Given the read-only audit framing, there are no obvious dead ends.

Maintenance

ActivityMaintained
ResponsivenessWithin a week