search-intent

IntentsKB: A Knowledge Base of Entity-Oriented Search Intents - CIKM'18

Towards an Understanding of Entity-Oriented Search Intents - ECIR'18

Смыслотрон — экспресс-кластеризация SEO-ядра по эмбеддингам: 11 моделей (OpenAI/Gemini/Voyage/Qwen), смысловой дедуп, HAC-деревья, интенты DeepSeek, мгновенный срез кластеров в браузере

Open-source organic content intelligence for search demand, page funnels, intent coverage, data quality, and AI/GEO visibility.

Privacy-first SEO, GEO & AEO question discovery and search intent mining engine. Categorizes user demand and powers AI visibility benchmarks.

A practical, hands-on guide to learning SEO for WordPress, focused on real-world implementation and common pitfalls.

🚀 A data-driven SEO SOP for competitor reverse-engineering, precision keyword mining, and search intent clustering. | 精准 SEO 关键词挖掘与对手词库逆向工程执行标准。

Official MCP Server for Human Search Intent Keywords, Google Lighthouse Core Web Vitals (CLS/LCP/INP), Technical SEO Audits, and On-Page Diagnostic Intelligence.

Free, open-source keyword research tool: keyword ideas, SERP-based keyword clustering, search intent and keyword mapping.

A curated list of keyword clustering tools, libraries, embedding models and papers - with the SERP-overlap and semantic approaches compared.

Turn keyword CSVs into intent clusters, content gaps, editable briefs and explainable SEO priorities.

Rubric-based framework for evaluating search ad relevance. Three empirical case studies grounded in search intent theory, Quality Score mechanics, and Decision Intelligence. Built for AI Google Ads evaluation.

SEO portfolio focused on on-page and technical SEO, including crawlability, indexation, search intent optimization, and data-driven organic growth. Includes real frameworks and anonymized performance results.

Free CLI that proposes the dominant page type in the top 10 of a search (heuristic).

Flask dashboard for exploring keyword ideas, search volume, search intent, and difficulty from a seed keyword.

Map overlapping search intent and surface likely keyword cannibalization.

Open-source SERP intent monitor: know when a search results page changes enough to deserve a content review. Python, SQLite, SearchApi.

ListeningMind Intent Data: remote MCP server for intent intelligence: search paths, intent clusters and why people buy (Korea, Japan, US alpha). Free tools, no key.

Classify SEO keywords by intent — and by whether they attract B2B buyers/importers or just consumers. Built for export & B2B sites.

Fine-tune Qwen2.5-3B into an SEO search-intent classifier (QLoRA SFT + DPO), quantize to GGUF, and serve it with vLLM on RunPod, with load-test numbers.