What we mean by AEO and SEO
Search Engine Optimization (SEO) is the discipline of earning rank in a list of blue links. The reader chooses; the page closes the loop. Answer Engine Optimization (AEO) is the discipline of being the source the answer is built from — whether that answer appears in an AI Overview, a ChatGPT response, a Perplexity citation card, or a Featured Snippet.
The two share infrastructure: crawlability, internal linking, page speed, structured data, link equity. They diverge on what the destination wants from your page. A ranking page wants the click. A cited page wants to be quoted accurately, attributed, and trusted enough to influence the answer.
SEO optimizes for ranking in a result set. AEO optimizes for being the substrate of an answer. The same page can do both, but the design pressures pull in opposite directions on at least three axes.
The eight points where AEO breaks from SEO
1. Chunking discipline
Classical SEO rewards long, comprehensive pages. AEO rewards pages built from independently extractable chunks — paragraphs that name their subject, use complete sentences, and avoid 'this' or 'it' as the subject. LLMs ingest by chunk; if a paragraph fails to make sense in isolation, it cannot be cited.
2. Pronoun elimination
Replace 'It usually takes 4–6 months' with 'Local SEO results for service businesses usually appear in 4–6 months.' The second sentence works in any context. The first only works if the LLM also ingests the surrounding text — which, with chunking, it often does not.
3. Versioned and dated claims
AI assistants prefer sources they can verify. Stamp your claims with a year, a version number, or a publication date inside the sentence. 'As of Q1 2026, Google's Core Update rollout cadence has shortened to roughly six weeks' is more citable than 'Google updates its core algorithm regularly.'
4. Hedging discipline
Classical SEO copy can use 'might' and 'could' freely. AEO punishes them. Hedged claims dilute the source's authority and reduce the probability the model promotes them above an unhedged competing source. Hedge only when the underlying evidence requires it — and say why.
5. The fact-density floor
Pages with fewer than three verifiable facts (numbers, named entities, dates, regulators) per 500 words are at a citation disadvantage. We have seen pages double their LLM citation rate by adding a single quantitative table without changing the prose.
6. Schema-content alignment
Classical SEO accepts JSON-LD as a 'free win.' AEO penalises schema that contradicts the page. Mark up only what the user can verify visibly. Inflated AggregateRating without visible reviews, FAQ schema with answers not present in the page body, and Service schema for services you do not actually offer all increase manual-action risk and reduce LLM trust.
7. The proof asymmetry
A blue-link result can be picked because the title matched. A cited source must survive the model's internal sanity check. Add the proof: a screenshot, a methodology paragraph, a named regulator, a linked primary source. Pages with proof scaffolding outperform pages with the same claims and no proof by a wide margin.
8. Information Gain over breadth
Classical SEO rewards covering every subtopic. AEO rewards saying something the top result does not. Read the #1 page; identify what they have not said; add it with citation. This is the highest-leverage operation in 2026 content work.
Triage matrix: where to start
| Lever | Effort | Citation impact | Start here if… |
|---|---|---|---|
| Pronoun elimination | Low | High | You write in a conversational tone |
| Information Gain pass | High | Very high | Your competitors all sound the same |
| Versioned claims | Low | Medium | Your content is evergreen-styled |
| Schema-content alignment | Medium | Medium | You inherited maximalist JSON-LD |
| Fact-density floor | Medium | High | Your pages are story-driven |
| Hedging discipline | Low | Medium | Your style guide loves 'might' |
| Chunking | Medium | High | You favour long flowing paragraphs |
| Proof scaffolding | High | Very high | You make claims without screenshots |
The 90-day execution plan
Days 1–14: Audit
- 1Run /tools/information-gain-auditor on your top 20 highest-traffic URLs against the current top result.
- 2Tag pages with score < 40 as candidates for full rewrite. Pages 40–64 get an Information Gain pass. Pages ≥ 65 get a versioned-claim and pronoun pass only.
- 3Pull a list of every JSON-LD block on the site and flag ones with FAQ items, ratings, or services not visible on the page.
Days 15–60: Rewrite and republish
- 1Apply the eight levers in order of triage, starting with the highest-traffic page in each tier.
- 2After each rewrite, change the dateModified, ping IndexNow, and resubmit to Search Console.
- 3Test citation behaviour weekly using our /tools/llm-citation-checker for the top 5 target queries.
Days 61–90: Measure and iterate
- 1Compare LLM citation rate (queries cited / queries tested) week over week. Healthy improvement is +5–10 percentage points across the test set.
- 2Compare Google ranking for the same queries. If rank dropped on a rewrite, restore the prior version's TL;DR while keeping the new fact-dense body.
- 3Promote the top 3 new pillar pages with internal linking from your highest-authority hubs.
