# Rankry (rankry.ai): agent-readiness 77/100, grade B

> Rank 25 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-27T12:40:45.303Z. Page: https://qomvia.com/site/rankry-ai  JSON: https://qomvia.com/api/score/rankry-ai

## Summary
Category: Software and SaaS
{
  "known": true,
  "confidence": "medium",
  "summary": "Rankry.ai is an AI visibility analytics platform that helps brands track their performance and presence across various Large Language Models (LLMs). It provides metrics on how a brand is recommended by AI systems like ChatGPT, Claude, and Gemini, including visibility, ranking, sentiment, and competitive share of voice.",
  "offerings": [
    "AI visibility analytics",
    "Brand tracking across LLMs (ChatGPT, Claude, Gemini, Perplexity, Grok)",
    "23 proprietary AI visibility metrics",
    "Sentiment analysis for AI recommendations",
    "Competitor tracking in AI outputs",
    "AI Website Readiness Score"
  ],
  "audience": "Brands, marketing teams, PR teams, and businesses aiming to monitor and optimize their presence in generative AI content and recommendations.",
  "geography": null,
  "strengths": [
    "Specialized focus on LLM visibility, addressing an emerging market need.",
    "Comprehensive metrics for tracking brand presence in AI responses.",
    "Coverage of major LLMs including ChatGPT, Claude, Gemini, Perplexity, and Grok.",
    "Includes competitive analysis and sentiment tracking for AI mentions.",
    "Offers an 'AI Website Readiness Score' for actionable insights."
  ],
  "unknowns": [
    "Specific pricing tiers or models.",
    "The founding date or company history.",
    "Details on the technology stack or data sources beyond LLM output analysis.",
    "Customer testimonials or case studies.",
    "Specific team size or leadership."
  ],
  "alternatives": null,
  "business": "Rankry.ai provides an AI visibility analytics platform for brands to track and optimize their presence and recommendations across major Large Language Models globally.",
  "competitors": null
}

## Score by group
- Machine access: 24/24
- Content legibility: 24/26
- Discovery surface: 12/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 4/10
Failing checks:
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] Content carries a date
- [improvement] Machine-readable data surface

## AI mentions and rivals
Named in 1 AI assistant answers.


## Named for
- Which platforms can help me measure my brand’s visibility in generative AI and LLM-generated answers? https://qomvia.com/answers/which-platforms-can-help-me-measure-my-brand-s-visibility-in-generative-ai-and-l
- 1. Which AI visibility monitoring platform should a small or medium-sized company use to track brand mentions, competitors and recommendations across LLMs? https://qomvia.com/answers/1-which-ai-visibility-monitoring-platform-should-a-small-or-medium-sized-company

## FAQ
Q: Is Rankry readable by AI agents?
A: Rankry (rankry.ai) scores 77 out of 100 for agent readiness, grade B, measured 3 days ago, on 27.09.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright.

Q: What stops agents from using rankry.ai?
A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; Content carries a date; Machine-readable data surface. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report.

Q: How is the Rankry agent-readiness score calculated?
A: Qomvia fetches public pages of rankry.ai as an AI agent would and runs the core checks every site gets across 6 groups: Machine access, Content legibility, Discovery surface, Identity & policy, Agent-facing performance, Agent protocols. Checks are weighted by how much an agent loses when they fail, and the score is expressed out of 100.

Q: How often is this score updated?
A: Public scores are re-checked when the site is re-scanned; tracked domains are re-scanned weekly and their owners are alerted when a check regresses. This page shows the scan from 3 days ago, on 27.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software
- Score another site: https://qomvia.com/