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  Emerging Trends

  Brand Performance Trends

Questions & Answers

  Available Formats

Markdown

Markdown (.md) is a lightweight, plain-text format used for creating structured content, documentation, and AI-generated text processing.

Benefits for AI Optimization

Human & Machine Readable – Designed for both document clarity and easy parsing

Best for AI-Generated Content & Assistants – Frequently used in AI-driven knowledge bases

Implementation

Lightweight & Easily Portable – Requires minimal formatting but retains structured output

Widely Supported – Used across blogs, GitHub, and AI-driven documentation systems

Generated Output
Installation Steps
  1. Download the geordy.md file generated for your page.
  2. Upload it to a documentation folder (/docs/, /content/, or /knowledge-base/).
  3. If using a CMS like WordPress, Ghost, or Jekyll:

    Create a new Markdown post and paste the file's contents.

    If using Jekyll or Hugo, store it in the /content/ or _posts/ directory.

  4. Ensure Markdown renders properly by previewing it in your CMS or a Markdown viewer.
  5. Reference the Markdown file from your website or documentation system:
    1. 📄 If hosted publicly, add a link like: <a href="/docs/yourfile.md">View Documentation</a>
    2. 📘 In static site generators (e.g., Jekyll/Hugo), import the file using a relative path: {% include_relative yourfile.md %} or {{ .Site.Data.docs.yourfile }}
    3. 🔗 For GitHub or Git-based knowledge bases, link directly to the raw Markdown file in the repo.
    4. 🧠 In AI documentation tools, point to the `.md` URL or embed the content using iframe or markdown viewer plugins.
Optional Enhancements

If you run a dynamic site, integrate the JSON schema into your CMS templates to auto-generate structured data for each new page.

Convert Entire Site to Markdown

This will crawl and convert all pages of the website to markdown format.

Schema JSON

Schema.org JSON-LD is a structured data format used by search engines and AI systems to better understand your web content.

Benefits for AI Optimization

Rich Search Appearance – Enables enhanced search features like FAQ snippets, product carousels, and knowledge panels

Direct AI Integration – LLMs use structured data to generate precise answers and link relevance

Implementation

Machine-First Readability – Follows JSON-LD format which is natively read by bots and AI agents

Flexible & Extendable – Supports multiple entity types (e.g., Article, Product, FAQ, Organization)

Generated Schema JSON
Installation Steps
  1. Copy the generated Schema JSON above.
  2. Paste it inside a <script type="application/ld+json"> tag in the <head> or just before </body> in your HTML page.
  3. If using a CMS (e.g., WordPress):
    1. Add it to your theme’s header or use an SEO plugins custom script option.
    2. Ensure the JSON is correctly encoded and doesn’t conflict with existing scripts.
  4. Test the structured data using Google’s Rich Results Test or Schema Markup Validator.
  5. Monitor Search Console for indexing and enhancement reports.

YAML

YAML (YAML Ain’t Markup Language) is a human-readable format used for configuration, metadata, and AI content structures.

Benefits for AI Optimization

Human-Friendly – Easier to read and edit than JSON, especially for non-developers

Flexible for Metadata – Commonly used for front matter in content systems like Jekyll, Hugo, and AI pipelines

Implementation

Structured Configuration – Ideal for managing data in headless CMS and automation systems

Multi-Purpose – Used in content models, SEO configs, AI prompts, and metadata files

Generated YAML
Installation Steps
  1. Copy the YAML output from the left panel.
  2. Paste it into a .yaml or .yml file inside your project.
  3. If using with Jekyll or Hugo:
    1. Insert it in the front matter block using --- before and after the YAML section.
    2. Save it in your _data or _config directory for dynamic access.
  4. Validate the YAML using an online validator to ensure proper indentation.
  5. Use the data as configuration, structured metadata, or content reference in your CMS or web app.
Optional Enhancements

Combine YAML with Markdown front matter to power static site generators and LLM-ready knowledge bases.

Use aliases and anchors for reusable YAML components across your config structure.

LLMs.txt

LLMs.txt is an emerging standard used to help AI models and answer engines discover your public AI-friendly content.

Benefits for AI Optimization

Improves LLM Crawling – Helps large language models understand what content you want surfaced

Declarative Inclusion – You control what pages, endpoints, and data are considered “LLM-friendly”

Implementation

Similar to robots.txt – Placed in your root directory as /llms.txt

Lists structured and AI-intended content like datasets, docs, endpoints, or knowledge bases

Generated LLMs.txt
Installation Steps
  1. Copy the generated content from the left panel.
  2. Create a file named llms.txt in the root of your domain (e.g., yourdomain.com/llms.txt).
  3. Paste the content inside and save the file.
  4. Ensure it is accessible publicly — test it by visiting the URL in your browser.
  5. Optional: Submit the URL to AI indexing platforms or include it in robots.txt as a reference.