7 Strategies to Get Recommended by AI

Getting recommended by AI isn't luck — it's strategy. Here are 7 proven approaches to increase the chances that ChatGPT, Claude, and Perplexity mention your brand when users ask for recommendations.

1. Own Your Comparison Pages

Create detailed, honest comparison pages for "[Your Brand] vs [Competitor]" queries. AI models often reference these directly. Be fair in your comparisons — AI can detect and penalize obviously biased content.

2. Build a Comprehensive FAQ

A well-structured FAQ with proper JSON-LD schema gives AI direct, structured answers to pull from. Cover every common question about your product category.

3. Get Listed on Review and Comparison Sites

AI models cross-reference multiple sources. Being mentioned on G2, Capterra, TrustRadius, and industry-specific review sites strengthens your authority signal significantly.

4. Publish Original Research

AI values unique data and insights. Publish surveys, benchmarks, or case studies with real numbers. This type of content gets cited because it can't be found elsewhere.

5. Optimize Your Technical Foundation

Ensure AI crawlers can access your content. Deploy llms.txt, configure robots.txt for AI bots, and add comprehensive schema markup.

6. Maintain Consistent Brand Messaging

Your brand description, key differentiators, and value proposition should be consistent across your website, social profiles, press mentions, and directory listings. AI cross-references these sources.

7. Monitor and Iterate

Track your AI visibility regularly to see what's working. AI models update frequently, and yesterday's winning strategy may need adjustment today.

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Check your current AI visibility for free to see which of these strategies will have the biggest impact for your brand. Then explore Elynn's improvement recommendations for a prioritized action plan.