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Bringing Scientific Rigor to AI Search
As search transitions from keyword indexes to probabilistic generative models, brands need deterministic measurement, competitive attribution, and prescriptive intelligence.
From Blue Links to Probabilistic Synthesis
For three decades, digital discoverability was dictated by search engine crawlers and ranked lists of links. If you ranked on page one for high-volume keywords, customer acquisition followed.
Today, buyers increasingly conduct deep research directly inside conversational answer engines like ChatGPT, Perplexity, Claude, and Gemini. These systems do not show ten blue links. They synthesize a single, authoritative consensus response.
Early monitoring tools treated this shift like traditional rank tracking: scraping a prompt once a week and providing a vanity score. But marketing leaders were left with fundamental unanswered questions: Why did the model cite our competitor instead of us? Which authoritative sources influenced the answer? What technical schema or content gaps must we fix today?
EvidentlyAEO was engineered to answer those questions with statistical precision.
Architectural Standards
Four fundamental rules that govern our product design and data pipeline.
Factual Precision
We analyze multi-sample query passes to isolate true model citations from temperature variance, ensuring metrics are boardroom-defensible.
Prescriptive Backlogs
Every score delta directly connects to actionable recommendations, content briefs, and schema updates your team can implement.
Full-Stack Intelligence
True AI visibility requires monitoring both organic consensus citations and emerging paid sponsored placements inside answer surfaces.
Native Extensibility
Built with native Model Context Protocol (MCP) integrations so your brand analytics integrate seamlessly into agentic AI workflows.
Leadership & Engineering
Built by veterans in industrial AI systems and high-throughput data platforms.
Vikas Malik
Founder & CEO
20+ years of leadership in AI, distributed data systems, and enterprise growth. Pioneer in neural optimization systems at GE and NeuCo. Former VP of Engineering and Data Operations at Sensor Tower. B.Tech, NIT Rourkela.
Avaya Sharma
Founding Engineer
Architects the data ingestion, multi-model evaluation pipelines, and real-time citation analysis infrastructure powering EvidentlyAEO's crawler fleet.
Company Overview & Specifications
Your competitors are
already being recommended
by AI.
Start tracking, benchmarking, and winning today.
Your competitors are
already being recommended
by AI.
Start tracking, benchmarking, and winning today.