Research & Engineering

Research & engineering notes on how we build Seerly: infrastructure, product engineering, and AI search visibility measurement.

Filtered by: Rakesh Menon, Udit KhandelwalClear filter
Beyond Dashboards: A Five-Layer Architecture for Proactive AI Search Visibility
AI VisibilityAI Search

Beyond Dashboards: A Five-Layer Architecture for Proactive AI Search Visibility

Reactive dashboards log what AI models said. Proactive systems detect why they will change. This paper outlines a five-layer engineering architecture for AI visibility: signal ingestion, influence modeling, narrative drift detection, confidence-weighted recommendations, and governed execution.

Rakesh Menon, Udit Khandelwal
21 min read
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How LLMs decide who to cite: The mechanics behind AI Search visibility
AI SearchLLM Citations

How LLMs decide who to cite: The mechanics behind AI Search visibility

Citations are now a primary discovery surface, but they remain unreliable enough that visibility without correctness becomes a brand risk. Seerly operationalizes this by tracking citation frequency alongside attribution correctness, so teams can measure where they show up and whether they are represented accurately.

Rakesh Menon
20 min read
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