Prompt
How can I write and publish content that’s easy for LLMs and AI assistants to discover, understand, and cite?
Latest observation
To make your content easy for LLMs and AI assistants to discover, understand, and cite, write for both humans and machines:
1) Make the page easy to crawl and access
- Keep important content in the HTML (not only in images, PDFs, or scripts).
- Avoid blocking bots in
robots.txtunless you truly want exclusion. - Use clean URLs, canonical tags, and a sensible site structure.
- Make sure pages load quickly and work without heavy JavaScript.
- Submit a sitemap and keep pages linked internally.
2) Write in a clear, extractable format
LLMs prefer content that is:
- Well-structured with headings, short sections, and lists
- Explicit about what each section is about
- Concise but complete
- Free of jargon unless you define it
Good patterns:
- Start with a one-paragraph summary
- Use clear headings like “What it is,” “How it works,” “Examples,” “Limitations,” “FAQ”
- Use bullet points for steps, constraints, and definitions
- Put the most important answer near the top
3) Be precise and unambiguous
Models cite and summarize better when statements are:
- Specific: “12% conversion lift” instead of “better performance”
- Time-bound: include dates and version numbers
- Source-backed: cite data, studies, and original references
- Distinct: avoid vague pronouns like “this,” “that,” or “it” when the subject could be unclear
4) Include metadata and structured data
Add machine-readable clues:
- Title tag and meta description
- Open Graph and Twitter cards
- Schema.org structured data when relevant:
ArticleFAQPageHowToProductOrganizationDataset
Structured data helps systems identify:
- authorship
- publication date
- topic
- FAQs
- product details
- organization identity
5) Make citations easy
If you want AI systems to quote or cite you:
- Name the author, publisher, and date clearly
- Include canonical URLs
- Use section anchors and stable permalinks
- Reference original sources directly
- Publish a bibliography or “Sources” section
- Use consistent terminology across pages
A good citation-friendly pattern:
- Claim
- Evidence/source
- Date
- Link
6) Favor original, high-value content
LLMs are more likely to surface content that is:
- original research
- strong explanations
- unique data
- firsthand experience
- definitive guides
- expert commentary
Content that is repetitive, thin, or heavily rewritten from others is less likely to be useful or cited.
7) Provide answer-ready snippets
Write some sections so they can be lifted directly:
- Definitions: “X is…”
- Steps: “To do X, first…”
- Comparisons: table format
- FAQs: short question-answer pairs
- Summaries: 2–4 sentence recap
This improves retrieval and citation.
8) Use accessible, semantically correct HTML
Good HTML helps both search and AI systems:
- Proper heading hierarchy:
h1→h2→h3 - Use
<p>,<ul>,<ol>,<table>,<blockquote> - Use alt text for images
- Label charts/tables clearly
- Avoid putting essential text only in images
9) Publish stable, versioned content
If your content changes often:
- show “last updated” dates
- version your docs
- keep archives of prior versions
- use stable URLs for canonical content
This makes citations more reliable.
10) Build authority and trust
AI systems often prefer sources that appear trustworthy:
- clear author bio
- organization page
- contact info
- editorial policy
- references and methodology
- transparent corrections
A simple checklist
Before publishing, ask:
- Can someone understand the main answer in 10 seconds?
- Is the page crawlable without JavaScript?
- Does each section have a clear heading?
- Are names, dates, and claims specific?
- Is there structured data?
- Are sources cited?
- Is there a canonical URL?
- Would a model be able to quote this cleanly?
A good content template
You can use this structure:
- Title
- One-paragraph summary
- Key points
- Detailed explanation
- Examples
- FAQ
- Sources
- Author / organization / date
If you want, I can also give you:
- a blog post checklist,
- a schema markup example, or
- a template optimized for AI citation.