Target Engines
- Google AI Overviews (formerly SGE)
- ChatGPT with web search
- Perplexity
- Claude with web search
- Gemini
- Bing Copilot
LLM-Readiness Score (0-100)
scripts/geo-score.ts checks:
| Signal | Points |
|---|---|
| Quick answer in first 100 words | 15 |
| Direct H2 questions ("What is X?") | 10 |
| Tables/lists for comparable data | 10 |
| Citations with dates + sources | 15 |
| Statistics with attribution | 10 |
| Author bio with credentials | 10 |
| Schema.org markup | 10 |
| Updated date < 12 months | 10 |
| llms.txt present | 5 |
| No JS-only content (SSR) | 5 |
Quantified Impact (Princeton / 2026 studies)
GEO techniques boost AI visibility by up to +40%. Ranked by impact:
| Technique | Visibility |
|---|---|
| Adding statistics | +40% |
| Citing authoritative sources | +40% |
| Quoting experts | +28% |
| Improving text fluency | +15–30% |
| Keyword stuffing | -10% (worse than baseline) |
AI Overviews cite ~13 sources on average per answer (2026); 59.6% of citations come from URLs outside the top-20 organic results.
Content Structure for LLMs
# <Topic>
**Quick answer** (40-60 words, factual, no fluff)
## What is <topic>?
Definition paragraph...
## Why does it matter?
Stats with sources...
## How to <task>?
Numbered steps...
## Comparison
| X | Y |
|---|---|
## FAQ
- Q: ...
- A: ...
llms.txt
Not required by Google (its crawlers ignore it) — useful for other LLMs, where early adopters report improved citation accuracy. Place at site root: https://example.com/llms.txt
# Site Name
> One-line description
## Pages
- [Homepage](https://example.com/): description
- [Docs](https://example.com/docs/): description
References
seo-entity— entity signals + schema that drive AI citationsskills/seo/04-geo-2026/(ai-platforms, citation-strategies, content-structure, llm-crawlability, zero-click-optimization)skills/seo/08-measurement/share-of-model.md