Search Bridge provides AI‑powered brand intelligence that tracks how large language models perceive your brand across content, technical, and off‑site signals.
Funding
Funding not disclosed
Founders
Product
Problem
Brands increasingly rely on AI-driven search and large language models (LLMs) to surface product and service information, yet they have no clear view of how these models perceive their brand, what sources inform that perception, or how it translates into revenue. This lack of AI‑specific brand intelligence makes it difficult to optimize content, technical signals, and off‑site presence for emerging AI search experiences.
Solution
Search Bridge delivers an AI‑powered brand intelligence platform that continuously monitors how LLMs represent a brand across multiple signals. The system tracks 14 key performance indicators—including awareness, clarity, trust, uniqueness, advocacy, and sentiment—by querying several LLM engines (e.g., ChatGPT, Claude, Gemini, Perplexity) and mapping results to AI knowledge‑graph nodes. It also evaluates technical readiness through LLM readability analysis, schema markup checks, and content‑structure audits, while identifying the primary, secondary, user‑generated, and competitor sources that feed AI models. By converging deep tracking, competitive tracking, and technical tracking data, the platform automatically generates prioritized, data‑driven recommendations for content, SEO, social, PR, and sustainability actions, linking improvements to revenue correlation metrics.
Target Audience
Primary customers are brand, marketing, and SEO teams at mid‑size to large enterprises that need to understand and improve their visibility in AI‑driven search and recommendation ecosystems.
Features
- Multi‑signal tracking of 14 brand perception KPIs across four source categories (brand‑controlled, third‑party, UGC, competitor)
- Deep tracking that queries multiple LLM engines to map brand presence within AI knowledge graphs
- Technical tracking of LLM readability, schema markup, llm.txt compliance, and content structure for AI‑ready websites
- Competitive tracking of rival visibility in AI‑generated search results and responses
- Intent tracking to surface evolving user intent patterns behind AI search queries
- Automated recommendation engine that prioritizes actions by impact, source weight, and KPI urgency
- Weekly data refresh with historical retention and a unified vector database for cross‑layer correlation
- Customizable modules allowing brands to select specific KPIs, intents, and geographic coverage