Qomvia
- No match
Machine translation — the English original is authoritative.
The Story
I saw AI agents becoming the new customer discovery channel, but most sites weren't readable to them. When Claude or ChatGPT shops, it names only a handful of brands - everyone else vanishes. So I built Qomvia to make your site agent-ready: get read by AI agents, get indexed in their queries, and get named in their answers.
AI Overview
AI-generatedShopping habits are shifting toward AI agents. When customers ask ChatGPT, Claude, Gemini, or Grok where to buy something, the models name only a handful of brands—leaving everyone else invisible in the results. Qomvia addresses this discovery problem by optimizing e-commerce sites for agent readiness, ensuring they're readable, indexed, and named in AI-generated answers.
The platform tackles a real gap in how search works now. Ten years ago, winning meant ranking in Google's blue links. Today, winning means being named when an AI agent provides the answer. Qomvia measures whether your site can actually be read and understood by these agents, then walks you through the fixes needed to change that.
The product works in six steps. First, it crawls and scores your site against specific checks that AI agents run when evaluating brands—checking for llms.txt files, MCP server discovery, Schema markup, sitemaps, and feeds. This audit generates a score and grade and identifies exactly what's missing. Second, the platform generates a fix report with specific file snippets tailored to your domain, then confirms compliance through weekly rescans. Third, it offers MCP server integration so agents can query your readiness directly via API. Fourth, it indexes your site across questions in the agent ecosystem. Fifth comes an AI monitor that tracks which questions your potential customers are asking agents daily and shows your visibility, position, and sentiment in those answers.
What distinguishes Qomvia is that it's not just another analytics tool. It's attacking a genuine shift in buyer behavior. Rather than requiring companies to guess what makes a site agent-ready, Qomvia provides the checks and the fixes in one workflow. The free tier removes friction—you can score any site without signing up, and weekly rescans come at no cost. The monitoring tier starts at $69 per month for tracking visibility across agent queries.
The platform has already scored 2,167 sites, suggesting real adoption among companies recognizing this shift. For any brand that depends on online discovery—particularly those competing in categories where AI agents now drive purchase intent—Qomvia fills a gap that's only going to widen.
Founder Diary
DevlogThe maker hasn't posted a diary entry yet.
Key Features
Agent-Ready Audit
Crawls and scores your site against specific checks that AI agents run, evaluating llms.txt files, MCP server discovery, Schema markup, sitemaps, and feeds.
Fix Report Generation
Generates specific file snippets tailored to your domain with weekly rescans to confirm compliance.
MCP Server Integration
Allows AI agents to query your site's readiness directly via API.
Query Monitoring
Tracks questions potential customers ask AI agents daily and displays your visibility, position, and sentiment in those answers.
Free Site Scoring
Scores any site without requiring signup, with complimentary weekly rescans included.
Use Cases
-
1
E-commerce brands
Companies selling products online need to ensure visibility when AI agents answer customer questions about where to buy.
-
2
Competitive categories
Brands competing in spaces where AI agents drive purchase intent depend on being named in agent-generated answers.
-
3
Discovery-dependent businesses
Companies relying on online discovery to reach customers require visibility in AI-generated search results.
FAQ
What does Qomvia check on my website? ▾
How much does Qomvia cost? ▾
Can AI agents access my readiness data through Qomvia? ▾
Does Qomvia show how my brand appears in AI-generated answers? ▾
Pricing
Free tier includes site scoring and weekly rescans; monitoring tier at $69/month tracks visibility across agent queries.
Tech Stack & Tags
Discussion
No comments yet — be the first!
Join the conversation — sign up to comment.
Sign up free