How to Publish in Reusable Form

Why it matters

A long-form article is hard for a model to summarise faithfully and easy to paraphrase badly. If you pre-package the reusable pieces — a one-sentence thesis, a 100-word abstract, three quotable lines — you hand the model exactly what it needs to cite you accurately, in your words rather than a distortion. These components are also what populate your schema abstract and meta description (Phase 5.1).

Format matters too. Search engines and AI systems do index and cite PDFs, but text extraction from PDF is lossy — headings, tables and reading order can be scrambled. An HTML canonical page is parsed reliably; offer the PDF as a companion download.

What good looks like

Each canonical article ships a reuse layer alongside the long-form body:

• A 1-sentence thesis stating the core claim.
• A 100-word abstract — factual, not promotional.
• 3 key definitions and 3 quotable lines, visible in both page meta and body, designed for citation.
• The page’s main entities and topics in schema (about, keywords) — not the <meta name="keywords"> tag, which Google ignores.
• An HTML version (PDF optional as a download — never PDF-only).

Reusable form includes video and images. If you publish a video explanation, publish its transcript on the page and mark it up as VideoObject; give images descriptive alt text and captions. Give each section heading a stable id so a passage can be deep-linked.

Step by step

1. Write a 1-sentence thesis Distil the article to a single sentence that states its core claim. This is the line a model reaches for first — make it complete and quotable on its own (Phase 2.1).
2. Add a 100-word abstract Write a ~100-word factual summary of what the piece argues and finds. Reuse it as the schema abstract and meta description (50–160 chars for the meta; the full abstract on-page).
3. Surface key definitions and quotable lines Pull out 3 key definitions and 3 quotable lines, and place them visibly in the body (not just meta). These are the verbatim units AI systems lift — write them to stand alone.
4. Declare the main topics in schema Name the page’s main entities and topics in its JSON-LD (about, keywords; Phase 5.1). Skip the <meta name="keywords"> tag — Google has ignored it for years and no AI engine documents using it.
5. Publish as HTML, not PDF-only Always publish a canonical HTML page. Offer a PDF as a download if you like, but never PDF-only — HTML is parsed reliably, while PDF extraction can scramble headings and tables.

Worked examples

Thesis:      Optimising for real-time RAG retrievability
             now beats optimising for training inclusion.

Abstract:    ~100 words summarising the argument and
             its evidence (used as schema abstract).

Definitions: RAG; AI Overview; engine editorial identity.

Quotable:    3 standalone lines written to be cited.

Keywords:    GEO, AI search citation, RAG retrievability,
             training data, engine-specific strategy.

Format:      HTML canonical page (+ optional PDF).

Common mistakes