Lapis

What is Lapis?

Lapis is a growth marketing and AI search analytics platform backed by Y Combinator. As user behavior shifts from traditional search to conversational AI assistants, Lapis gives businesses the tools to understand how AI models perceive and cite their brand. The platform compresses website content into AI-readable formats, tracks citation frequency and sentiment across multiple model providers, and surfaces actionable optimization recommendations — all without requiring engineering resources. Trusted by 300+ businesses, Lapis bridges the gap between traditional SEO and the emerging discipline of AEO (AI Engine Optimization).

Key Features

• Website Compressor

  Converts website content into structured markdown optimized for AI model consumption, preserving semantic meaning while reducing token usage so models can retrieve more context, faster.

• AI Search Analytics

  Tracks how often your brand is cited, where it appears in AI-generated responses, and the sentiment around those mentions — across GPT-5, Claude, Gemini, Grok, and Perplexity Sonar.

• Keyword & Query Fanout

  Expands core topics into hundreds of realistic conversational queries, then runs them across model providers to give a comprehensive picture of actual AI search visibility.

• Google AI Mode Monitoring

  Shows exactly what Google AI Mode and Google AI Overview say about your business, giving visibility into one of the fastest-growing AI-native discovery surfaces.

• AI Agent Analytics

  Identifies where AI agents are coming from and what users are asking them, delivering traffic source data comparable to Google Analytics but tailored for the agent-native web.

• Actionable Insights & AI Actions

  Surfaces one-click implementation recommendations based on what AI search engines see, enabling non-technical teams to improve AI discoverability without developer involvement.

Use Cases

• Brand Visibility Monitoring : Marketing teams can track how frequently and favorably their brand is cited across major AI assistants, catching visibility gaps before they translate into lost traffic.
• AI-Native SEO Strategy : SEO professionals can extend traditional keyword strategies into conversational AI search, identifying which topics and formats earn citations in AI-generated answers.
• Competitive Benchmarking : Businesses can compare their AI search presence against competitors, understanding where rivals are winning citations and where gaps exist.
• Content Optimization : Content teams receive specific guidance on how to restructure and enrich existing web content so it is more likely to be parsed, cited, and recommended by AI models.
• Growth Marketing Automation : Startups and fast-growing brands can automate ad creation, landing page copy updates, and brand reputation management across Google and AI search engines from a single platform.

FAQs