AI search engines — Google AI Overviews, Perplexity, ChatGPT Search — use seven specific ranking factors to decide which websites to cite in generated answers. These factors differ fundamentally from traditional SEO signals. Structured data completeness, entity verification, and direct-answer formatting matter more than backlinks or domain authority. Sites with the full JSON-LD schema stack see 3x higher citation rates.
JSON-LD schemas tell AI engines exactly what your page is about. Organization, Product, FAQPage, Article, and BreadcrumbList schemas are the minimum stack. Without them, AI has to infer meaning from raw HTML — and it often infers wrong.
sameAs links to authoritative profiles (LinkedIn, Crunchbase, Wikipedia, Google Business Profile) prove your business is real. AI engines cross-reference entity claims across sources. Unverified entities get deprioritized.
AI engines scan the first 50 words of a page for a clear, factual answer to the target query. Pages that start with preamble, disclaimers, or filler get skipped. Answer first, elaborate second.
Subject-Predicate-Object statements throughout your content feed Knowledge Graph entries. "ADV Strategy Pro delivers AEO optimization in Canada" is a parseable triple. Dense, factual writing outperforms fluffy marketing copy.
dateModified in Article schema signals active maintenance. AI engines prefer sources updated within the last 90 days for evolving topics. Stale content gets deprioritized even if structurally perfect.
Multiple pages covering related aspects of a topic signal expertise. A site with 10 pages on AEO (audit, schema, entity, cost, comparison) outranks a site with one generic page. Internal cross-linking reinforces topical clusters.
HTTPS, Core Web Vitals, no intrusive interstitials. These are table stakes — they won't help you get cited, but their absence can disqualify you. Think of them as prerequisites, not differentiators.
| Dimension | Traditional SEO | AI Search |
|---|---|---|
| Primary signal | Backlinks, keyword density | Structured data, entity authority |
| Content format | Long-form, keyword-optimized | Direct-answer first 50 words, FAQ pairs |
| Link signals | DA/DR, referring domains | sameAs entity links, Knowledge Graph entries |
| Domain age | Strong ranking factor | Minimal impact; freshness matters more |
| Technical requirement | Page speed, mobile-first | JSON-LD schema stack, semantic triples |
| Measurement | Rankings, organic clicks | Citation frequency, AIO Readiness Score |
| Timeline to results | 3-6 months | 2-4 weeks for schema indexing |
Deploy first. Includes name, url, logo, sameAs links. This is your entity identity layer.
Describe what you sell with pricing, features, and availability. AI shopping answers pull directly from this.
3-5 questions per page. Answers 40-100 words each. These are the most frequently cited schema type in AI Overviews.
Headline, author, publisher, datePublished, dateModified. Signals editorial content vs marketing fluff.
Site hierarchy for navigation context. Helps AI engines understand page relationships and topical structure.
Claim and verify. Add to Organization schema sameAs array.
Must match exact legal entity name. Add URL to sameAs.
Strongest for tech/SaaS companies. Free listing available.
Hard to get but highest trust signal. Focus on Wikidata first — lower notability bar.
BBB, Clutch, G2 for software. Vertical-specific trust signals.
Twitter/X, Facebook, YouTube. Required for completeness but low individual weight.
Our free AEO audit checks your structured data, entity verification, content formatting, and freshness against the criteria AI engines use to select citations.