Research

Research for teams tracking AI-driven software discovery

Lexeme research helps teams understand how AI answers are shaped in the categories that matter to them.

  • AI visibility research
  • Citation analysis
  • Category benchmarks
  • Model divergence

Lexeme research is meant to do two things well:

  • help teams understand how AI answers are actually shaped in their market
  • help them judge whether AI visibility is becoming a meaningful issue in their category

Research themes

Citation power maps

Reports on which domains most consistently shape AI answers in a category, where models agree, and where the answer ecosystem is still in motion.

Category benchmark reports

Category-level views of brand visibility, competitor movement, and narrative patterns across the markets Lexeme tracks.

Model divergence analysis

Breakdowns of where ChatGPT, Perplexity, Gemini, Google AI Overviews, and other surfaces give different answers to the same buying-intent questions.

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Available reports

Each report is meant to make AI-driven software discovery easier to understand and respond to.

Report

The Cybersecurity AI Citation Power Map

A Lexeme research report for cybersecurity teams that want to understand which domains shape AI answers, where competitors are winning, and where citation gaps are opening.

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Lexeme

Ready to see how AI is talking about your market?

Audit visibility across AI answers, understand which sources shape those answers, and turn citation gaps into a clear plan.

See where you appear

Track how often your brand, competitors, and category sources show up in AI-generated answers.

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See how pricing will be framed

Review how rollout stages, packaging, and early access conversations are likely to be explained as Lexeme matures.

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