This workflow automates the analysis of a website’s HTML content to evaluate its readability and accessibility for Large Language Models (LLMs) like ChatGPT and Perplexity. Starting from a user’s input URL via a webhook trigger, the workflow fetches the website’s HTML, sanitizes and extracts key SEO features such as headings, meta tags, and visible text. It then leverages OpenAI’s GPT-4 model to assess the website’s AI-friendliness, providing an AI readability score, a summary, actionable suggestions, and advice on verifying that the site’s robots.txt file isn’t blocking AI crawlers. This workflow is ideal for website owners or SEO professionals aiming to improve their site’s visibility to AI search engines and ensure compatibility with emerging AI-based search tools.
AI SEO Readability Audit: Enhancing Website Search Friendliness
Node Count | 6 – 10 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, code, httpRequest, stickyNote |
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