NewJev SEO Python Audit
A crawler combines deterministic technical checks with typed semantic judgments for actionable SEO reports.
Added to Jevfast
NewHow it uses Jev
Jev SEO crawls a site and asks typed questions about site and page evidence. In full mode it also batches keyword records against a page catalogue, asking for relevance Score, best-page Choice, and a Noul question that detects whether a keyword names another brand. Deterministic code filters and composes audit recommendations from those judgments.
What Jev decides
Keyword brand-intent check (illustrative request shape)Example answers · not a recorded Jev response · Source ↗
Question 1 · k0 other brand
YOUR APP
INSTRUCTION
Does this keyword name another company, product, or website such that the searcher wants that specific named thing?
STATE
A keyword batch includes site context, up to 30 page records, and keywords with search volume, intent, and current ranking URL where available. The representative first keyword is named k0; its literal runtime value varies by batch.
JEV · NOUL
YesNo
App workflow
- Crawl and prepare evidence
Collect site and page evidence, prepare relevant keyword rows, and construct a page catalogue for candidate matching.
- Ask typed page and keyword questions
Ask page questions over page and site context; in full mode, batch keyword relevance, destination-page, and other-brand questions.
- Validate and compose the audit
Validate returned typed values, apply deterministic filters and ranking, then assemble recommendations and reports from the crawl and judgments.
Why it is interesting
The audit combines rule-based crawling and candidate preparation with typed judgments, including explicit no-match and competitor-brand handling for keyword searches. This supports useful action recommendations without asking Jev to invent a report from scratch.