What is it?
Search optimization for traditional search engines and AI-powered generative engines (ChatGPT, Perplexity, Claude). Dual strategy preparing for shift in search behavior.
What is it for?
- Traditional SEO (Google, Bing)
- Generative Engine Optimization (AI search)
- Meta tags and Open Graph
- Structured data (JSON-LD)
- Sitemaps
Why was it chosen?
| Channel | Current State | Trend |
|---|---|---|
| Traditional (Google) | 14B searches/day | Stable |
| AI (ChatGPT, etc.) | 66M prompts/day | Growing (4.4x conversion) |
Gartner predicts 50% drop in traditional traffic by 2028. Optimize for both.
Stack advantages:
| Component | Benefit |
|---|---|
| SSR | SvelteKit default—content indexed reliably |
| Performance | Svelte compiler—fast Core Web Vitals |
| Meta tags | svelte-meta-tags—easy Open Graph + JSON-LD |
| Hosting | Vercel edge—fast TTFB |
| i18n | URL-based (/en/)—SEO-friendly |
GEO strategies:
| Strategy | Impact |
|---|---|
| Statistics with sources | +22% visibility |
| Quotations from authorities | +37% visibility |
| Clear structure (bullets, headings) | Easier extraction |
| Summaries ("Key takeaways") | Signals extractability |
Known limitations
Traditional SEO:
- Requires ongoing content updates
- Backlinks still matter (hard to control)
- Core Web Vitals requires optimization work
- Schema markup needs manual maintenance
GEO (AI search):
- Emerging field—strategies evolving
- No direct control over AI training data
- Citation tracking tools are paid/limited
- Reference rates not guaranteed
Monitoring challenges:
| Tool | Purpose | Cost |
|---|---|---|
| Profound | AI visibility | Paid |
| Semrush AI | Prompt testing | Paid |
| Manual | Query AI directly | Free |
Implementation priority:
- SEO foundation (meta tags, sitemap, JSON-LD)
- GEO enhancement (stats, citations, structure)
- Active GEO (track reference rates, optimize)
Related
- ../core/sveltekit.md - SSR capabilities
- ../i18n/paraglide.md - URL-based i18n
- ../ops/deployment.md - Edge hosting