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Screaming Frog SEO Spider
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Ahrefs
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OpenSEO
Site Audit by Ahrefs
Audit public URLs for AI crawler access, robots.txt policy, sitemap and llms.txt readiness, schema quality, semantic structure, visible content signals, and issues that may affect AI search, answer engines, or source-grounded retrieval.

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| Website | codegres.org | davidtamachi.ca |
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| Company | — | Startup from Canada · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Codegres.org yet.
LLM Crawlability and Context Auditor is a free technical SEO and AI-readiness tool that checks whether a public URL is ready for AI search, answer engines, and crawler-based retrieval. It audits: AI crawler access and robots.txt policy Sitemap and llms.txt availability Schema quality and...
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As answered by people managing Codegres.org and LLM Crawlability and Context Auditor.
LLM Crawlability and Context Auditor's answer:
It combines technical SEO checks with AI crawler-readiness checks in one free URL audit. Instead of only testing schema or basic crawlability, it reviews robots.txt policy, AI bot access, llms.txt readiness, semantic structure, visible content signals, and exportable context outputs for AI search workflows.
LLM Crawlability and Context Auditor's answer:
Most SEO audit tools are built around traditional search crawling, while this tool focuses specifically on how pages can be fetched, parsed, and interpreted by AI systems and answer engines. It is lightweight, free, browser-based, and includes an AI Bot Policy Matrix for crawlers like OAI-SearchBot, GPTBot, Googlebot, Claude-SearchBot, PerplexityBot, and CCBot.
LLM Crawlability and Context Auditor's answer:
The primary audience is SEO teams, developers, founders, marketers, and content creators who publish important web pages and want to check whether those pages are technically ready for AI search, crawler-based retrieval, structured extraction, and source-grounded discovery.
LLM Crawlability and Context Auditor's answer:
The tool was created as AI search and answer engines began changing how web pages are discovered, fetched, summarized, and cited. Traditional SEO checks are still important, but teams also need a practical way to review AI crawler policy, semantic clarity, schema quality, and context packaging before publishing high-value pages.
LLM Crawlability and Context Auditor's answer:
The tool is built as a browser-based web application using HTML, CSS, JavaScript, and serverless fetching logic. It analyzes public HTTP and HTTPS URLs, page HTML, metadata, schema markup, robots.txt, sitemap.xml, and llms.txt signals.
LLM Crawlability and Context Auditor's answer:
Share your experience with using Codegres.org and LLM Crawlability and Context Auditor. For example, how are they different and which one is better?