feat: add Didoo AI to llms.txt hub

[thedaviddias]

This PR adds Didoo AI to the llms.txt hub.

Submitted by: elias

Website: https://didoo.ai/
llms.txt: https://didoo.ai/llms.txt

Category: marketing-sales

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Please review and merge if appropriate.

Summary by CodeRabbit

• Documentation
  • Added a new website resource with metadata and content information to the available database.

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Project	Deployment	Preview	Comments	Updated (UTC)
llms-txt-hub	Ready	Preview	Comment	Dec 2, 2025 1:44pm

[coderabbitai]

Walkthrough

A new MDX data file is added to the websites collection with YAML frontmatter containing LLM metadata (name, description, website URLs, category, and publication date) and a brief Markdown description section.

Changes

Cohort / File(s)	Summary
New MDX website entry packages/content/data/websites/didoo-ai-llms-txt.mdx	Added new data file with YAML frontmatter metadata and Markdown content for LLM listing

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

• File addition is purely data/content with no logic, executable code, or functional complexity
• Standard frontmatter structure consistent with existing pattern

Possibly related PRs

• PR #262: Adds new MDX metadata files for LLM listings with identical frontmatter structure (name, description, website, llmsUrl, etc.)
• PR #397: Adds new MDX data files under packages/content/data/websites/ directory with the same frontmatter schema and structure for llms.txt hub entries

Pre-merge checks and finishing touches

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The pull request title clearly and specifically describes the main change: adding Didoo AI to the llms.txt hub, which aligns perfectly with the changeset containing a new MDX file for this entry.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch submit-didoo-ai-1764682908240

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📜 Recent review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 935e684 and efd2edc.

📒 Files selected for processing (1)

• packages/content/data/websites/didoo-ai-llms-txt.mdx (1 hunks)

🧰 Additional context used

🔍 Remote MCP

I found comprehensive information about the llms.txt hub project. Now let me search specifically for Didoo AI to verify their website and llms.txt implementation.Based on my research, I have gathered relevant context for the PR review. Let me compile the findings.

Additional Context for PR Review

llms.txt Hub Project Overview

The llms.txt hub is a central repository for discovering and sharing llms.txt implementations across different projects and platforms, where the llms.txt file is a standardized way to provide information about how LLM-powered tools and services should interact with your documentation and codebase.

The project organizes entries into primary categories (🤖 AI & ML, 💻 Developer Tools, 📊 Data & Analytics, ⚡ Integration & Automation, ☁️ Infrastructure & Cloud, 🔒 Security & Identity) and secondary categories (personal, agency, e-commerce, education, media, international, other).

Submission Requirements & Best Practices

Submissions are made through a submission process on the homepage, and submitters must have implemented llms.txt on their site before submitting.

The llms.txt file should follow a specific Markdown structure with the website/project name as an H1 header, followed by a brief description in blockquote format, and then sections with H2 headers containing links to important content.

Category Verification for PR

The PR categorizes Didoo AI as "marketing-sales," which appears appropriate. Didoo AI transforms links into high-performing Meta ads, targeting profitable buyers and optimizing around the clock, confirming its positioning as a marketing/sales tool rather than developer-focused infrastructure.

Data File Structure

The project stores entries as MDX metadata files under packages/content/data/websites with frontmatter fields including name, description, website, llmsUrl, llmsFullUrl, category, and publishedAt. The PR's addition of a new file at packages/content/data/websites/didoo-ai-llms-txt.mdx follows this established pattern consistent with related PRs #262 and #397.

Review Considerations

1. Metadata Completeness: Verify that all required frontmatter fields are properly populated in the MDX file
2. Website Verification: The Didoo AI website (didoo.ai) exists and offers AI-powered advertising services
3. File Accessibility: Confirm that the specified llms.txt file is accessible at the provided URL (https://didoo.ai/llms.txt)
4. Consistency: Ensure the entry follows the same structure as existing entries in the hub

[::web_search::]

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• GitHub Check: Validate

🔇 Additional comments (4)

packages/content/data/websites/didoo-ai-llms-txt.mdx (4)

1-9: Metadata structure is complete and properly formatted.

The YAML frontmatter follows the established MDX pattern in the hub with all required fields present. The category classification ("marketing-sales") appropriately reflects Didoo AI's service positioning as a Meta ads optimization platform.

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6-6: Verify the empty llmsFullUrl field is intentional.

The llmsFullUrl field is empty. Based on the hub's conventions, please confirm whether this field should be populated with a separate URL or if an empty value is expected for this entry.

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5-5: Verify that the llms.txt file is accessible at the provided URL.

Before merging, confirm that the llms.txt implementation is publicly accessible at https://didoo.ai/llms.txt and follows the llms.txt specification for the hub.

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11-13: Content section is consistent with metadata.

The Markdown description accurately mirrors the frontmatter description and properly uses the H1 header format with the project name, following the established hub pattern.

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