Lanesra AI

First you add your brand: your name, your domain and the competitors you care about. No code or tag goes on your site. Then you pick the prompts that matter, either from a generated set built around your category or written yourself, and every prompt is tagged by intent such as learn, discover, compare and validate.

Next you choose the AI engines and the markets you sell into. Lanesra runs every prompt on every selected model every day, in each market, and records each answer as the user saw it. The dashboard then shows your visibility, share of voice, average position and sentiment against competitors, plus which sources the models cite when they answer.

Finally you act. Instead of a long issue list, Lanesra produces a ranked to-do list of content to publish, sources to get listed on and pages to fix, ordered by expected impact, and you watch the next daily run to see whether the line moves.

• •AI Visibility Tracking - Visibility, share of voice, position and sentiment for your brand on each model, with a competitive score out of 100, an NPS read from AI answers, brand ranking and a topic-by-topic benchmark against competitors. It also shows how often you are suggested when people ask for alternatives to a competitor.
• •Advantage and Source Analysis - See which brand AI names first on each prompt, the content and page formats competitors win with by topic, and the sites models cite most, so you know where to build presence instead of guessing.
• •Brand Archetype - Lanesra reads the personality AI engines give your brand out of 12 archetypes and compares it with what your own site expresses and the archetype you target, by engine, with a never list of words your brand must not be described with and a brief on what to amplify and what to drop.
• •Agent Analytics - Check your robots.txt, firewall, page tags, llms.txt and sitemap against AI crawlers from GPTBot to ClaudeBot, see which engines can train on, index or visit your site, and get a drafted llms.txt. The basic domain check is free with no signup.
• •Prompt Library and Markets - Build a prompt library tagged by topic, market and language, with several markets and languages per project. Core models are included, and Claude, Grok, DeepSeek, Qwen, Moonshot AI and Mistral are available as custom add-ons.
• •Integrations, API and MCP - Stream data into Looker Studio, pull it through the REST API, or connect Lanesra to Claude, Cursor and n8n over MCP to ask questions about your visibility in plain language and build your own workflows.

Lanesra is built for marketing, SEO, content and PR teams that need to know what AI assistants say about their brand and what to do about it. In-house teams at SaaS, e-commerce, fintech, travel and B2B services companies can track their category prompts daily, compare themselves with named competitors and hand content and outreach teams a ranked list of fixes. Web3 projects, where models often confuse token names or describe protocols skeptically, were the starting market and remain a focus.

Agencies and consultancies get a separate Agency plan with credits shared across up to 25 client projects and client-friendly reports. Brands selling into several countries benefit from per-market and per-language tracking, including regional models. A Persona plan for individual professionals is listed but is in early access and not yet open for sign-up. Buyers outside the eurozone should note that prices are published in euros and exclude VAT.