Lanesra AI is The analytics layer for AI search

# Lanesra AI > Analytics layer for AI search. Lanesra measures and improves how answer engines and AI agents describe, cite, position and recommend a brand across the models and markets its audience uses. Lanesra AI is a full-featured, affordable AI search analytics and optimization platform for brands and agencies. It covers Answer Engine Optimization (AEO), Generative Engine Optimization (GEO) and Agent Experience (AX). It serves Web2 and Web3 companies alike. Lanesra is not a chatbot, not a foundation model, not a classic SERP rank tracker, and not a model quality benchmark. Citations in Lanesra refer to sources used or named by AI generated answers, not to academic references. **Get started.** Free GEO report: https://lanesra.ai/geo-report **Book a call:** https://calendar.app.google/oKhvJbXkTGqmLMSKA Profile Link **Positioning.** Lanesra is a GEO and AEO platform that competes with Peec.ai, Profound and Otterly.AI, with AX coverage that those tools do not present as a core offering. Its differentiators are per-model, per-market and per-language tracking, native measurement of Arabic answers from sovereign models, and an MCP server that lets agents read live visibility data. **Customers.** Web3: Hacken (security audit), Superteam Poland, Rome.builders. Web2: [to be added and verified before publication]. **What it measures.** Visibility, how often a brand appears when its market asks. Position, where the brand lands inside the answer. Sentiment, whether a model recommends, qualifies or dismisses the brand. Share of Voice against tracked rivals. Mentions, where an answer names the brand outright. Source use, where content informed an answer. Citations, where an answer names or links a source URL. **How it works.** Prompts are tracked per model, per market and per language rather than aggregated into one global result, and rerun daily so movement is comparable over time. Prompts can be tagged by persona, funnel stage, market or product line, and the dashbo