How to Improve How Often AI Recommends You

Once you can measure your share of model, you can move it. AI recommendations are driven by what credible sources say about you and how machine-readable your own claims are. Here are the levers, in order of impact.

Steps

  1. Earn third-party mentions. Generative engines weigh what other credible sites say about you. Digital PR, guest content, and being included in roundups move the needle most.
  2. Get into comparison and “best of” content. AI assistants frequently pull from listicles and comparisons; being present and well-described there directly affects who gets named.
  3. Make your claims machine-readable. Clear positioning, structured data, and an llms.txt help models understand and quote you accurately.
  4. Strengthen reviews and reputation — a core trust input for recommendations.
  5. Re-measure your share of model after each change to see what worked.

Why this order

AI answers are built from sources the model trusts. The fastest gains come from increasing how often credible third parties mention you, then making sure your own site confirms and structures those claims.

Do it with DigiJaws

Track your progress with the AI Visibility Tracker and fix your on-site signals with the SEO Agent. Back to the Measure AI Visibility playbook.

Part of: Measuring AI Visibility (Share of Model): The Complete Guide
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Last verified July 2, 2026
Cite this page:How to Improve How Often AI Recommends You. DigiJaws, 2026. https://digijaws.com/guides/measure-ai-visibility/improve-and-report/improve-ai-mentions/
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