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We help brands build
the
technical
foundations AI systems
rely on to understand, interpret,
and confidently
recommend them.
2008 — Where it all started.
Began building websites and learning SEO fundamentals — the foundation for understanding how digital discovery really works.
2011 — Years of experimentation.
2023 — The AI spark.
2025 — The shift became undeniable.
Today — Helping brands win the AI search era.
AI Recommended was born after watching countless brands lose visibility overnight as AI systems quietly reshaped how people search. Since 2023, we’ve focused on understanding how LLMs absorb information, judge credibility, and choose which businesses to feature in responses. Now, we work with companies to strengthen the signals AI relies on, ensuring they stay discoverable — not replaced — in an AI-driven world.
We analyze real AI search queries to understand how models interpret intent, retrieve information, and choose which brands to surface.
We track how often brands appear inside AI answers, summaries, and citations across major LLMs and assistants.
We measure visibility across LLM models to understand where brands surface — and why.
Marcus Hibbert
Marcus is the founder of AI Recommended. He helps brands show up in AI search by making them easy for AI to discover. After working in SEO for more than 15 years — and experiencing major Google updates like Panda, Penguin, and Hummingbird — he now focuses only on AI SEO. He studies and experiments with LLM tools like ChatGPT, Google AI Overviews, Gemini, Perplexity, and Microsoft Copilot to learn which brands get recommended, how they get chosen, and why they appear.
Fahima Jannath
Fahima is the co-founder of AI Recommended. She loves learning about LLMs, with a special interest in ChatGPT, and often spends time exploring its many abilities. She enjoys experimenting, asking questions, and seeing how AI responds. Her warm curiosity helps us find better ways for brands to show up in AI search.
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