CrawlSEO

OpenSEO is an open-source SEO tool developed as a self-hostable alternative to Semrush and Ahrefs. It provides workflows for keyword research, rank tracking, competitor insights, backlink analysis, site audits, and AI visibility, using a DataForSEO API key for the underlying SEO data. The project exposes an MCP server and reusable agent skills that let agents such as Claude Code, OpenClaw, and Hermes access SEO data and perform guided SEO tasks. It can be self-hosted with Docker for personal use or Cloudflare for internet-facing use across devices or teams; a hosted version is also available, with pricing described as pay-as-you-go for API usage and a subscription option.

Firecrawl is an open-source web context API and hosted service for AI agents and applications. It searches the web, scrapes individual pages, crawls websites, maps site URLs, and batch-processes large URL sets, returning content as clean Markdown, HTML, screenshots, structured JSON, and other extracted data. It handles JavaScript-heavy pages, rotating proxies, orchestration, rate limits, and blocked content, and can parse web-hosted PDFs and DOCX files. Its interaction endpoint lets users or agents click, scroll, write, wait, and press on a page before extracting content; its agent endpoint gathers web data from a natural-language request without requiring URLs. Firecrawl provides Python and Node.js SDKs, cURL and CLI interfaces, and an MCP connection for AI agents and applications.

Fire Your SEO Agency is a Claude Code skill that audits and optimizes websites across five search-visibility lanes: SEO for Google and Bing crawling, AEO for AI answer boxes such as Google AI Overviews and Bing Copilot, GEO for generative engines such as ChatGPT, Perplexity, and Claude, LLMO for how language models represent a brand, and NEO for Naver Search and AI Briefing. Its operating procedure audits sites without JavaScript, checks rendering, sitemaps, metadata, structured data, server-side rendering, machine-readable content, brand consistency, crawler policies, and Naver requirements, then proposes and implements fixes, creates intent-focused landing pages and citation-ready content structures, and schedules remeasurement. It is distributed as a Claude Code plugin or project/personal skill and is licensed under the MIT License.

Keyword Pro is a standalone, local-first keyword research console developed as an independent open-source project. It uses the user's own DataForSEO credentials rather than a hosted account, signup, or subscription system, and stores research sessions in a local database. Its guided report can make up to 19 keyword-research calls covering search volume, CPC, difficulty, intent, trends, SERP competitors, and related terms. The application supports 94 markets and 46 languages, validates country-language combinations, skips unsupported paid calls, and provides an advanced mode with 332 keyword-oriented DataForSEO endpoint definitions. It displays estimated costs before paid runs, saves completed reports for later reopening without another API call, and exports results as PDF, CSV, and JSON. The application runs locally with Node.js, pnpm, OpenSSL, and Podman or Docker, binding to 127.0.0.1 by default for a single local user. DataForSEO credentials stored by the application are encrypted with AES-256-GCM. The project is distributed under the Apache License 2.0.

GeoLook is an open-source, self-hosted platform for end-to-end Generative Engine Optimization (GEO), focused on whether AI engines mention and cite a brand. Its workflow runs from status analysis through diagnosis, strategy, implementation tickets, execution, and verification. The platform samples answers from multiple AI engines and measures mention rate, rank, citation share, competitor visibility, and citation sources. It classifies question-level problems such as absence, low ranking, competitor dominance, and suspected negative mentions; stores browsable sample metadata; and allows human corrections to parser results that recompute metrics and persist across resampling. It can expand question banks using Baidu suggestions and Google autocomplete, with candidates requiring manual review. GeoLook audits sites through an Access → Orientation → Understanding → Quotability dependency chain, covering crawler access, extraction blocks, citation-channel gaps, and brand-fact or messaging inconsistencies. It also performs checks such as robots and WAF/CDN behavior, noindex headers, llms.txt links, hreflang, sitemaps, duplicate content, and passage-level quotability. The action stage produces structured implementation tickets with rationale, ownership, effort, timing, acceptance criteria, risk grades, progress tracking, and regression-based reopening; it also provides content planning, deployable llms.txt and JSON-LD assets, and client-facing reports and execution plans. Subsequent sampling rounds compare results before and after implementation.