Four AI search engines, four logics
In 2026 it is no longer enough to "optimize for AI". Google AI Overviews, Perplexity, ChatGPT and Claude all have different crawlers, ranking mechanics and citation logics. Treating all four seriously means platform-specific optimization — and visibly more visibility than competitors who buy a generic GEO plugin.
1. Google AI Overviews — the mainstream platform
AI Overviews appear above classic Google results and answer questions directly. Optimization mixes classic SEO with extras: featured-snippet format (40–60 word answer + detail), question-answer structure, FAQPage schema, recency and strong E-E-A-T signals.
2. Perplexity — the source-driven approach
Perplexity cites 5–10 sources per answer with link and excerpt. Citation drives direct referral traffic. Optimize for clean URL anchors per H2, numbered lists, visible dating and external authority — backlinks count more here than on the other platforms.
3. ChatGPT (with web search) — the conversational anchor
ChatGPT cites sources by default since GPT-4-Turbo. For a query like "Which web agency in Munich do you recommend?" it pulls 3–8 sources. Optimize via llms.txt, brand-consistent language, comparison content (X vs Y) and listicles with reasoned justification.
4. Claude (with web search) — the precise reasoner
Claude prefers content that lays out multiple perspectives and trade-offs explicitly, with inline links to primary sources and scientific accuracy.
Cross-platform strategy
- llms.txt at root
- FAQPage, Article and Service schema
- Question-answer H2/H3 structure
- Visible dates plus JSON-LD dateModified
- Author pages with Person schema and LinkedIn link
- Lists, tables, clear numbers
- Lighthouse 90+ performance
How to measure AI visibility in 2026
- Define 20 brand- and service-specific prompts
- Test them monthly across all four platforms
- Record whether your brand is cited, at which position and with which statement
- Track referral traffic from perplexity.ai, openai.com, google.com
