# Alhena (alhena.ai): agent-readiness 70/100, grade C > Rank 133 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T17:10:41.859Z. Page: https://qomvia.com/site/alhena-ai JSON: https://qomvia.com/api/score/alhena-ai ## Summary Category: Software and SaaS { "known": true, "confidence": "high", "summary": "Alhena AI, formerly Gleen AI, provides hallucination-free AI agents primarily for e-commerce brands. Their solutions aim to enhance customer experience, improve discovery, shopping, and support, and ultimately drive revenue.", "offerings": [ "AI-powered shopping assistants", "Customer support chatbots", "Voice agents", "AI search visibility solutions (AEO & GEO)", "Clienteling solutions" ], "audience": "e-commerce brands, consumer brands, support leaders, CX teams, digital commerce teams, and enterprise buyers evaluating AI for revenue, shopping, support, social commerce, and AI search visibility.", "geography": null, "strengths": [ "Focus on hallucination-free AI", "Specialization in e-commerce CX and revenue growth", "Comprehensive solutions for discovery, shopping, and support", "Omnichannel capabilities", "Demonstrated impact on metrics like AOV" ], "unknowns": [ "Specific pricing models or tiers", "Detailed list of integrations with major e-commerce platforms", "Exact technical architecture or underlying LLMs used", "Full geographical reach or specific regional focuses", "Specific investor information or funding rounds" ], "alternatives": [ "ada.ai", "ultimate.ai", "yellow.ai", "acquire.io", "replicant.ai" ], "business": "Provider of hallucination-free AI agents for e-commerce brands to enhance customer experience, improve discovery, shopping, and support, and drive revenue globally.", "competitors": [ "ada.ai", "ultimate.ai", "yellow.ai", "acquire.io", "replicant.ai", "kore.ai", "boost.ai" ] } ## Score by group - Machine access: 24/24 - Content legibility: 19/26 - Discovery surface: 12/20 - Identity & policy: 5/12 - Agent-facing performance: 8/8 - Agent protocols: 2/10 Failing checks: - [blocker] No MCP endpoint to call - [improvement] No stated policy for automated access - [improvement] No machine-readable contact - [improvement] No Content Signals - [improvement] Main content is extractable ## Add-on packs - E-commerce & product feeds: 19/100 (not part of the public score) ## AI mentions and rivals Named in 11 AI assistant answers. - ultimate.ai: not measured - yellow.ai: not measured - replicant.ai: not measured - kore.ai: not measured - boost.ai: not measured ## Named for - What are the best tools to track how a brand is mentioned and recommended by AI assistants like ChatGPT, Claude and Gemini? https://qomvia.com/answers/what-are-the-best-tools-to-track-how-a-brand-is-mentioned-and-recommended-by-ai - 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 - What are the best alternatives to Profound and Peec AI for monitoring AI brand visibility? https://qomvia.com/answers/what-are-the-best-alternatives-to-profound-and-peec-ai-for-monitoring-ai-brand-v - Which platforms help e-commerce businesses become visible and actionable for AI shopping agents? https://qomvia.com/answers/which-platforms-help-e-commerce-businesses-become-visible-and-actionable-for-ai ## FAQ Q: Is Alhena readable by AI agents? A: Alhena (alhena.ai) scores 70 out of 100 for agent readiness, grade C, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright. Q: What stops agents from using alhena.ai? A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; No Content Signals; Main content is extractable. 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 Alhena agent-readiness score calculated? A: Qomvia fetches public pages of alhena.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. E-commerce & product feeds checks are scored separately (19/100) and do not affect the public score or rank. 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 2 days ago, on 08.10.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software - Score another site: https://qomvia.com/