How to rank in AI search results
Ranking in AI search (Google SGE, ChatGPT, Perplexity) differs from traditional SEO. You need to be both crawlable and extractable.
The AI ranking paradox
Unlike Google's 10 blue links, AI search often cites multiple sources in a single answer. You can 'rank' without being #1 — you just need to be among the sources the AI chooses.
Phase 1: Technical accessibility (gatekeeper)
If AI can't crawl you, you can't rank. Period.
Check with free AI SEO Score:
- GPTBot allowed?
- Google-Extended allowed?
- No
noaimeta tags? - Sitemap accessible?
Phase 2: Content extractability (the ranking factor)
| Factor | Impact |
|---|---|
| Direct answer in first paragraph | High |
| FAQ schema presence | High |
| Clear heading hierarchy (H2/H3) | Medium |
| Bullet points and lists | Medium |
| Definition sentences (X is Y) | High |
| Tables for comparisons | Medium |
Phase 3: Authority signals (tiebreaker)
When multiple sites have good structure, AI uses:
- Domain authority (backlinks)
- Freshness (recent updates)
- E-E-A-T signals (author bios, credentials)
- Cross-citation (other AIs citing you)
The AI SEO Score ranking scale
| Score | Ranking potential |
|---|---|
| 90-100 | High — likely cited |
| 70-89 | Medium — possible citation |
| 50-69 | Low — rarely cited |
| 0-49 | None — blocked or inaccessible |
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