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Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. Omic just got measured.
7/10 means Omic is somewhat visible. AI bots can read you, but you are missing the structured signals that would push citation rate above competitors.
Omic is an AI-driven digital patient and multi-omics drug discovery platform for target identification, biomarker discovery, and generative compound screening.
Category: Technology
omic.ai8
Structured Data
9
Content Structure
6
Entity Clarity
6
E-E-A-T Signals
8
Technical AEO
5
AI Discoverability
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).
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Exact fixes: robots.txt, schema, llms.txt
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Scored by Engagemii on May 21, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/omic-ai
Cite this score: Engagemii (2026). "AEO Score for Omic." Retrieved from https://engagemii.com/aeo/brands/omic-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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