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Web and site search with decision models

Choosing sources, queries and result order for web or site search, including SEO and generative-engine visibility checks.

26 public projects

  • Jev Search★ 534

    Plain-language web search where a decision model like Jev picks query, sources and time range, then ranks Search1API results.

    AppproductionTypeScript
  • GEO analytics platform tracking brand visibility in AI answers; a feature flag moves its visibility classifiers onto Jev booleans.

    ProjectproductionTypeScript
  • jev-seo★ 610

    Live SEO audit from one homepage URL: crawl, 52 rules, Core Web Vitals and Jev page judgments, reported as PDF, XLSX and Markdown.

    PluginbetaPython
  • Self-hosted MCP research server that filters search results and page blocks with Jev, returning compact evidence with provenance.

    MCP serverbeta
  • MCP server that scores every search query, result and fetched page an agent sees for relevance, credibility and steering risk.

    MCP serverbetaTypeScript
  • Site audit for SEO and AI-search visibility: a deterministic crawl, narrow Jev Choice, Score and Noul questions, and a live dashboard.

    AppbetaTypeScript
  • Parallel web search CLI and MCP server where Jev scores fetched pages and picks which links to follow next.

    ProjectbetaPython
  • Chrome extension that re-ranks Google results with Jev questions per result and folds away sales pages and SEO filler.

    Browser extensionbetaTypeScript
  • Depth-crawling research agent where Jev makes every per-page relevance and next-link decision and an LLM only plans and writes.

    ProjectprototypeJavaScript
  • Browser extension that has Jev score search results for relevance, depth, SEO filler and page type, then re-ranks them with a 0-100 badge.

    Browser extensionprototypeJavaScript
  • Toy research agent where Jev makes every keep/skip and delve decision over search results, and one expensive call writes the report.

    ProjectprototypePython
  • Experiment using Jev Noul judgments on accumulated evidence to decide when Zilliz's DeepSearcher agent should stop searching.

    ProjectresearchPython
  • Research agent where GPT plans and Jev finds evidence in parallel across document regions with Choice and Noul.

    Browser extensionresearchTypeScript
  • jev-social★ 169

    Local social research agent: Jev picks each bounded Instagram, TikTok or LinkedIn step and socai CLI runs it in your Chrome.

    CLIbetaTypeScript
  • shadcn/ui site-search block that shows keyword hits instantly, then has Jev re-rank the top 20 by what the visitor meant.

    DemobetaTypeScript
  • 3D visual-reference gallery over The Met, NASA, Cosmos and Prelinger Archives where local Jev picks search phrases and highlights.

    AppbetaTypeScript
  • Scores a page for SEO, answer engines and generative engines, using code for measurable checks and Jev rubric scores for judgment.

    DemoprototypeTypeScript
  • Map where you ask anything in plain words and Jev gives every nearby place a probability, lighting up those likely to match.

    DemoprototypeJavaScript
  • Web search CLI for agents that has Jev score results and scraped chunks against the query and goal, passing only relevant ones on.

    BenchmarkbetaGo
  • Pre-registered benchmark where Jev makes every search and evidence decision for a 2B local model answering SimpleQA questions.

    BenchmarkresearchPython
  • Independent benchmark asking whether Jev can replace an LLM reranker, on natural-language search over 6,245 YC companies, with a live demo.

    BenchmarkresearchTypeScript
  • Milvus bootcamp notebooks combining Gemini embeddings, Milvus retrieval and Jev judgments for reranking, filtering, routing and stopping.

    ArticleproductionPython
  • Experimental Rust SEO and GEO CLI and MCP server combining page checks, DuckDuckGo queries and optional Jev scoring.

    MCP serverprototypeRust
  • Test project using Jev to build chat-style search over a blog with hundreds of articles.

    Appprototype
  • Free, no-signup web demo: ask a question and Jev answers yes, no or maybe, with web search when needed.

    Appprototype
  • Boring Tools Kit's technical SEO audit cost study, where Jev ranks striking-distance fixes and content gaps by calibrated probability.

    Article

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