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AI Visibility Scorecard
lassare.com · Technology
Somewhat visible. AI bots can read Lassare, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 1 times
Claude
#465,549 of 2,623,115 in Technology for AI visibility
5.5
/10
AEO Score
from our crawl and measurement
Lassare is a business whose own site puts it this way: "Lassare lets AI coding agents ask you questions via Slack DM. Answer from your phone while Claude Code, Cursor, Copilot, or Gemini CLI keeps shipping code." Its AI visibility score is 5.5 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (Organization, FAQPage, SoftwareApplication), an llms.txt file for AI models and a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
Higher is better · 0-10
Structured Data
8
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
9
Clear headings and answer-style content.
Entity Clarity
6
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
2
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
9
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Trust
3
Established authority for your domain.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
0
No press coverage found yet.
Community
0
No community discussion yet.
0
No Reddit mentions found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 5.5/10, Lassare has a working base to build on - fixable, and the signals above are where to start.
How does Lassare work?
Lassare provides an MCP server that integrates with Claude Code, Cursor, Gemini CLI, Copilot, and any MCP-compatible agent. When your agent needs input, Lassare routes the question to your Slack as a DM. You respond from your phone, and the answer flows back to your agent instantly.
What is MCP?
MCP (Model Context Protocol) is an open standard that lets AI agents use external tools. Lassare uses MCP so any compatible coding agent — Claude Code, Cursor, Gemini CLI, Copilot, and others — can ask you questions without any SDK or code changes on your side.
What happens if I don't respond?
Your agent waits up to 15 minutes for your response. When you reply, it picks up right where it left off. If the request expires, your agent will be notified so it can continue or retry.
Do I need a Slack workspace?
Yes, you'll need to install the Lassare Slack app. Questions are delivered as direct messages to your Slack. We chose Slack because it's where developers already are — and it works on mobile out of the box.
How is Lassare different from Claude Code's Remote Control?
Remote Control is great — for Claude Code users with a Pro or Max plan who want full session mirroring through Anthropic's app. Lassare takes a different approach: it works with any MCP-compatible agent (Claude Code, Cursor, Copilot, Gemini CLI, and more), delivers questions to Slack where you already are, and focuses specifically on the decision points that block your agents. If you use more than one coding agent, Lassare gives you a single channel for all of them.
Is my code sent to Lassare?
No. Lassare only sees the questions your agent sends — the text of the question itself. Your code stays on your machine. We don't have access to your codebase, your file system, or your terminal.
What happens if I exceed my question limit?
You'll get an email warning at 80% usage. At 100%, new questions are blocked until you upgrade or your monthly limit resets. Your agent receives an error so it knows to stop retrying.
Is this your brand?
The exact fixes for Lassare
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Tech buyers are the most research-intensive shoppers on the internet.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/lassare
Cite this score: Engagemii (2026). "AEO Score for Lassare." Retrieved from https://engagemii.com/aeo/brands/lassare
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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