AEO Checklist for News websites Content

Implement 'Direct Answer' Headline/Subheadline Structures

Structure news articles to answer the core journalistic question (Who, What, When, Where, Why, How) in the first paragraph. Use a 'Headline -> Lead Paragraph (concise factual summary) -> Supporting Details' hierarchy to facilitate LLM extraction.

Optimize for 'Featured Snippet' Extraction (News Context)

Align content with extraction patterns: use precise factual statements, short paragraphs (under 100 words), and numbered lists for timelines or key figures. Answer engines prioritize these for 'verified' news summaries.

Leverage 'Schema.org' Speakable Property for News

Define the 'speakable' property in your JSON-LD for news articles to help voice-based AI assistants (e.g., Gemini Live, Alexa News Briefings) identify the most critical, audibly-friendly sections for playback.

Implement 'NewsArticle' Structured Data

Map your articles to `NewsArticle` or `Article` schema. This explicitly signals to Answer Engines the content type and associated metadata (publisher, datePublished, author), enhancing SERP feature eligibility.

Optimize for 'Fragment Loading' for Breaking News

Ensure your CMS and CDN support fast delivery of updated article fragments. AI retrievers (RAG) prioritize rapidly updating sources for real-time news queries.

Deploy 'Machine-Readable' Timelines and Data

Use standard HTML `<table>` or semantic list structures for event timelines, statistics, and financial data. LLMs extract information from these structured formats more reliably than from prose.

Establish Strong 'Authoritative Source' (E-E-A-T for Journalism)

Ensure 'About Us', 'Author Bios', and 'Editorial Standards' are clearly defined with Schema.org Organization/Person. AI engines cross-reference these entities (via `sameAs`) to verify journalistic integrity and expertise.

Verify 'Entity Linkage' in News Aggregators

Ensure your publication and key journalists are accurately represented in Wikidata, Google News, and other authoritative news knowledge bases. LLMs use these nodes to confirm entity validity.

Use 'Natural Language' Semantic Triplets for Facts

Format critical data points as 'Subject-Predicate-Object' triplets. E.g., '[Politician Name] announced [New Policy] on [Date]'. This simplifies entity-relationship extraction for LLM knowledge graphs.

Eliminate 'Journalistic Bias' and Subjective Language

Strip out loaded language, speculation, and non-attributed opinions. Answer engines prioritize objective, verifiable reporting. Subjective adjectives are filtered as low-utility noise for factual queries.

Optimize for 'Related Questions' (PAA/Gemini Context)

Identify related follow-up questions in AI search interfaces and create dedicated, semantically-linked sections within your articles that address these peripheral intents.

Monitor 'Attribution' in Generative AI Summaries

Track citation frequency in AI Overviews (Google SGE), Perplexity Answers, and ChatGPT summaries. Use 'Source Citation Share' as a primary KPI to measure your brand's authority in the generative landscape.