The 10 GEO Features That Make Content Citable

The E-GEO research preprint (arXiv:2511.20867), building on the Princeton GEO study (Aggarwal et al., KDD 2024), identifies 10 content features that consistently appear in content that AI answer engines rank and cite highly. These are the same 10 features E-GEO’s analyzer scores — the list below is the canonical definition used by the code.

Most GEO tools score a subset of these features and stop there; E-GEO’s analyzer scores all ten and its rewriter optimizes against them directly.

1. Ranking emphasis

Frame the content as a leading choice for a specific use case (“best for X”). Engines prefer sources that take a clear position over sources that list options neutrally.

Implement: state plainly what the thing is best at, in the first paragraph.

2. User intent

Open by directly answering the question the reader actually asked. If the page targets “how to rank in Perplexity”, the first sentence should answer it, not set scene.

Implement: a 50–170 word answer block at the top of every page.

3. Competitive differentiation

Concrete advantages over typical alternatives — without needing to name competitors. “The only one that does X” claims must be verifiable or they destroy trust.

Implement: one honest differentiator, stated as fact you can defend.

4. Social proof

Trust signals: user counts, ratings, testimonials. Never fabricated — invented proof is a disqualifier when checked.

Implement: real numbers with dates, or omit the claim.

5. Narrative

A persuasive, benefit-led flow instead of a feature dump. Engines extract better answers from coherent prose than from fragments.

Implement: problem → mechanism → outcome, in that order.

6. Authority

Expert, confident phrasing with verifiable specifics: credentials, methodology, datasets, dates.

Implement: say how you know — “measured weekly since 2026-08” beats “industry-leading”.

7. Unique selling points

Make USPs explicit and scannable as bullets. If a reader (or model) can’t list your USPs after one pass, you don’t have any on the page.

Implement: a short bullet list of differentiators, high on the page.

8. Urgency

Genuine urgency or scarcity where it truly exists — a dated offer, a real deadline. Fake countdowns and manufactured scarcity are trust poison, and engines increasingly discount them.

Implement: use only when literally true.

9. Scannability

Headings, bullet lists, short paragraphs. Scannable structure is what makes a passage liftable into an answer with attribution intact.

Implement: descriptive H2s; no paragraph over ~4 lines.

10. Factual accuracy

Concrete, verifiable facts — numbers, units, names — and no vague hype. Models cross-check claims against other sources; consistency across surfaces compounds trust.

Implement: every number has a source or a date.

How the features are scored

E-GEO’s analyzer scores each feature, flags anything below threshold as a gap with remediation copy, and prioritizes the three weakest features for rewriting. Applying all 10 together outperforms individual heuristics in the paper’s experiments — the features interact; a page strong on authority but weak on scannability still loses citations.

Try it on your own page:

egeo optimize path/to/page.md

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In short: 10 research-derived features — ranking emphasis, user intent, competitive differentiation, social proof, narrative, authority, USPs, urgency, scannability, factual accuracy — predict citability better than any single trick, and they interact. E-GEO scores all 10 and rewrites for the weakest three: github.com/mverab/eGEOagents.