Perplexity AI
Perplexity is fundamentally different from ChatGPT or Claude. It's "search-first", meaning every response is grounded in real-time web retrieval with citations. This makes it the most SEO-influenced AI assistant.
In this guide
- How Perplexity's search-first approach works
- Why your SEO directly impacts Perplexity visibility
- Understanding Perplexity's citation system
- Optimisation strategies specific to Perplexity
Knowledge
Context Window
Web Search
Citations
How Perplexity Works
Unlike ChatGPT or Claude which can answer from training data, Perplexity searches the web for every query:
Every claim in Perplexity's response is linked to a source. This means:
- Your content can be directly cited (with a link back to your site)
- SEO rankings directly determine if you're included
- Information is always current, not from training cutoffs
Key Takeaway
Perplexity is essentially SEO-powered AI.
If you rank well in Google, you're likely to appear in Perplexity responses. This makes Perplexity the most straightforward AI to optimise for because your existing SEO work transfers directly.
Perplexity Models
Sonar
Built on Llama 3.3 70B with real-time web search. Runs at 1200 tokens/second via Cerebras infrastructure.
Sonar Pro
Deeper content understanding with 2x more citations. Best-in-class factuality (0.858 F-score on SimpleQA).
Sonar Reasoning Pro
Advanced reasoning for complex multi-step queries. Competes with Gemini 2.5 Pro on benchmarks.
Sonar Deep Research
Expert-level research mode for comprehensive analysis. Ideal for in-depth market and competitor research.
Optimisation Strategies for Perplexity
1. Double Down on SEO
Your Google rankings are your Perplexity rankings. Focus on:
- • Featured snippet optimisation (Perplexity loves these)
- • Question-based content that matches user queries
- • High domain authority through quality backlinks
2. Create Citable Content
Perplexity cites sources for specific claims. Make your content cite-worthy:
- • Include specific facts, statistics, and data points
- • Use clear, quotable statements
- • Structure content with clear headings that match queries
3. Answer Questions Directly
Perplexity users ask questions. Structure your content to answer them:
- • Use FAQ sections on product and service pages
- • Start articles with direct answers, then elaborate
- • Target "what is", "how to", "best" query patterns
Technical Implementation
FAQ schema markup helps search engines (and Perplexity) understand your Q&A content, making it more likely to be selected and cited.
Schema for FAQ ContentThe Citation Advantage
Unlike ChatGPT or Claude, Perplexity actually drives traffic to your site. When it cites your content:
- Users can click through to read more on your site
- Your brand is explicitly attributed as a source
- Multiple citations build authority across queries
This makes Perplexity visibility more directly valuable than other AI assistants because you get brand mention AND potential traffic.
Monitoring Perplexity Visibility
Track how often your content appears in Perplexity:
- • Use AI Rank to monitor brand mentions across Perplexity responses
- • Test queries relevant to your industry and see if you're cited
- • Monitor referral traffic from Perplexity in your analytics
Sources
- Perplexity API Documentation: Official API docs and model information
- Sonar Models | Perplexity: Sonar model family specifications
- Introducing Sonar Pro API | Perplexity Blog: Sonar Pro capabilities and features
- Perplexity Sonar Performance | Perplexity Blog: Benchmark results and comparisons