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AI Visibility Scorecard
omicmd.com · Technology
Somewhat visible. AI bots can read Omic, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 1 times
Claude
#359,667 of 2,639,590 in Technology for AI visibility
5.7
/10
AEO Score
from our crawl and measurement
"Omic is an AI-driven digital patient and multi-omics drug discovery platform for target identification, biomarker discovery, and generative compound screening." That is how Omic introduces itself. Its AI visibility score is 5.7 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, WebSite, FAQPage), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
Higher is better · 0-10
Structured Data
9
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
6
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
7
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
8
Inbound links from other sites.
Domain Authority
1
Established authority for your domain.
Reference Presence
0
Not in AI knowledge graphs yet.
News & Press
0
No press coverage found yet.
Community
0
No community discussion yet.
Social Mentions
0
No social discussion 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 5.7/10, Omic has a working base to build on - fixable, and the signals above are where to start.
What is Omic.ai?
Omic.ai is an AI-driven digital patient and multi-omics drug discovery platform. It combines biological superintelligence with computational biology to accelerate drug discovery through target identification, biomarker discovery, and generative compound screening.
How does Omic use AI for drug discovery?
Omic uses PhD-level AI scientists that can read scientific literature, form hypotheses, design experiments, analyze data, and discover drug targets autonomously. The platform achieves 93.3% accuracy on GPQA Diamond benchmark, outperforming GPT-5.1 and human PhD experts.
What are digital patient models?
Digital patient models are computational simulations that capture the molecular dynamics of disease. They allow Omic to predict drug response across diverse patient populations before synthesizing compounds, enabling precision medicine and reducing clinical trial failures.
What is the pricing for Omic?
Omic offers three tiers: AI Scientist at $39/month for individual researchers, AI Research Team at $399/month for teams needing 25x more capacity and digital patient pipelines, and custom Enterprise pricing for full drug discovery workflows and virtual clinical trials.
What therapeutic areas does Omic focus on?
Omic has active drug discovery programs in oncology (ONC-001 for cancer immunotherapy), infectious disease (INF-001 for HIV), hematology (HEM-001 for sickle cell disease), and cardiovascular (CVD-001 for hyperlipidemia).
Is this your brand?
The exact fixes for Omic
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/omicmd
Cite this score: Engagemii (2026). "AEO Score for Omic." Retrieved from https://engagemii.com/aeo/brands/omicmd
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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