Generate and optimize AI blog posts for WordPress with Gemini and OpenAI

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  "detail": {
    "description": "Quick overview This workflow receives a webhook request with a draft article and AI configuration, then uses Google Gemini, OpenAI, and/or OpenRouter to generate WordPress-ready HTML content, SEO metadata, FAQs, and a cover image (base64) formatted for WPBakery, returning the assembled payload as JSON. How it works 1. Receives a POST webhook request containing a title, article text, writing and image style instructions, optional existing data, and AI provider settings. 2. Normalizes the incoming payload, determines whether the request is for a new post or for regenerating a specific asset, and prepares defaults such as categories and image constraints. 3. For regeneration requests, generates only the requested asset (image, excerpt, FAQ, or SEO JSON) using a fallback chain across Google Gemini, OpenAI, and OpenRouter, then returns the result to the webhook response. 4. For new post requests, generates excerpt, FAQ items, a single category selection, and SEO fields in one JSON response using the same multi-provider fallback strategy. 5. Rewrites the full article into clean WordPress-ready HTML (for example using <p, <h2, <ul, and <strong) while preserving the original meaning and applying the requested writing style. 6. Creates a detailed image prompt from the article, then generates a cover image with Google Gemini (fallback to OpenAI), and returns the final JSON containing content, SEO metadata, and base64 image data. Setup 1. Configure the Webhook trigger URL (POST /create-post) in your WordPress plugin or source system that sends the article payload. 2. Provide at least one AI provider credential in the incoming aiconfig (Google Gemini API key, OpenAI API key, and/or OpenRouter API key) and enable the corresponding text/image flags. 3. Update the allowed category list sent in availablecategories (or set a default in the workflow) to match the categories you use in WordPress. 4. Set your preferred Gemini/OpenAI/OpenRouter model names in aiconfig (including image models if you want image generation) and adjust retrycount and retrydelay as needed. 5. Use the Manual Trigger test path to validate the payload structure and confirm that the webhook response returns the expected JSON fields (contentbody, seodata, faqitems, and imagebase64)."
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}