AI VISIBILITY REPORT

Chaidiscovery

Complete AI search performance analysis

30 prompts · 3 platforms · 90 responses

Mention Rate

named in 5 of 90 answers

needs work

About Chaidiscovery

Chaidiscovery

Chai Discovery builds AI models and a computer-aided design suite for molecules, helping life sciences and pharmaceutical organizations design new medicines, proteins, antibodies, and other biomolecules faster and with higher experimental success rates.

Category: AI for drug discovery / molecular designSegment: Pharmaceutical companiesKey rival: Schrödinger

Scorecard

Across all 90 AI answers

Visibility Score

0–100 · how often & how high you appear

Mention rate ÷ average rank (0–100). Higher when AI names you often and near the top.

Share of Voice

3.6%

your share vs competitors

Your share of the AI conversation, compared to competitors

Average Rank

#2.8

your position when you appear

Your typical position in AI recommendations

Visibility Distribution

Where you land across 90 answers — 30 prompts × 3 platforms

94%

Top pick #1 · 3 runs

Recommended #2–3 · 0 runs

Mentioned #4+ · 2 runs

Missing Not mentioned · 85 runs

Platform Performance

How your brand shows up on each AI platform — 30 prompts each

ChatGPT

Avg rank #2.5

2/30 responses mention you

Google Overview

Avg rank #1.0

2/30 responses mention you

Perplexity

Avg rank #7.0

1/30 responses mention you

Competitive
Landscape

How you compare against competitors
in AI visibility

4%YOUR SHARE

share of voice

Insilico Medicine19.1%

RFdiffusion6.7%

Absci6.1%

BindCraft4.8%

ProteinMPNN4.6%

Schrödinger4.0%

Chai Discovery3.6%

AlphaFold3.5%

Other47.6%

Prompt-Level Detail

Every prompt we ran, tagged by type, with who showed up alongside you

All Prompts

● = platforms that mentioned you (of 3)30 prompts

Prompt

Type

Competitors

Platforms

Avg Rank

How do AI antibody design platforms compare for commercial use in pharma?

Comparisons

1st

What should a biotech team look for in an AI platform for hard-to-drug targets?

Buying intent

—

1st

What is the best software for designing antibodies with higher hit rates?

Recommendations

1st

What are the best AI platforms for de novo protein and antibody design for pharma teams?

Recommendations

—

How do AI protein design tools help reduce screening before wet-lab characterization?

Problem-solving

—

Which AI tools are best for designing binders against membrane proteins?

Recommendations

—

What are the most important features in an AI platform for antibody engineering?

Buying intent

—

How do leading AI protein design platforms compare on success rates?

Comparisons

—

What AI tools can design antibodies with specific framework sequences or formats?

Problem-solving

—

How do researchers use AI to design against a specific antigen conformation?

Educational

—

What is the fastest way to evaluate an AI platform for molecular design in pharma?

Buying intent

—

What are the best AI solutions for designing molecules from scratch?

Recommendations

—

What should scientists expect from AI-assisted protein design in the first two weeks?

Educational

—

How can AI help design molecules for targets that traditional methods struggle to reach?

Problem-solving

—

How do generative biology platforms work for protein and antibody design?

Educational

—

What questions should I ask before licensing an AI molecular design platform?

Buying intent

—

How do different AI platforms handle public versus private target structures?

Comparisons

—

What are the best tools for designing miniproteins with high success rates?

Recommendations

—

How do I choose between an AI model and a full molecular design suite?

Comparisons

—

What does an AI-powered computer-aided design suite for molecules do?

Educational

—

What are the most common reasons AI-designed proteins fail in the lab?

Problem-solving

—

How do AI-driven molecular design platforms compare on integration with existing R&D workflows?

Comparisons

—

What is the best way to pilot AI for protein engineering in a research team?

Buying intent

—

What are the top capabilities to look for in AI software for de novo binder design?

Buying intent

—

How do AI tools support design around ligands or post-translational modifications?

Problem-solving

—

What is the difference between structure prediction and structure-guided design?

Educational

—

How can AI reduce the number of experimental rounds in antibody optimization?

Problem-solving

—

What should an academic lab know before using AI for non-commercial protein design?

Buying intent

—

How do AI platforms compare for design speed versus experimental accuracy?

Comparisons

—

What are the benefits of using AI for molecular design instead of screening large libraries?

Educational

—

How do AI antibody design platforms compare for commercial use in pharma?

Type

Comparisons

Avg Rank

1st

Platforms

Competitors

What should a biotech team look for in an AI platform for hard-to-drug targets?

Type

Buying intent

Avg Rank

1st

Platforms

Competitors

—

What is the best software for designing antibodies with higher hit rates?

Type

Recommendations

Avg Rank

1st

Platforms

Competitors

What are the best AI platforms for de novo protein and antibody design for pharma teams?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

How do AI protein design tools help reduce screening before wet-lab characterization?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

Which AI tools are best for designing binders against membrane proteins?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

What are the most important features in an AI platform for antibody engineering?

Type

Buying intent

Avg Rank

—

Platforms

Competitors

—

How do leading AI protein design platforms compare on success rates?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

What AI tools can design antibodies with specific framework sequences or formats?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#10

How do researchers use AI to design against a specific antigen conformation?

Type

Educational

Avg Rank

—

Platforms

Competitors

#11

What is the fastest way to evaluate an AI platform for molecular design in pharma?

Type

Buying intent

Avg Rank

—

Platforms

Competitors

—

#12

What are the best AI solutions for designing molecules from scratch?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

#13

What should scientists expect from AI-assisted protein design in the first two weeks?

Type

Educational

Avg Rank

—

Platforms

Competitors

#14

How can AI help design molecules for targets that traditional methods struggle to reach?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#15

How do generative biology platforms work for protein and antibody design?

Type

Educational

Avg Rank

—

Platforms

Competitors

#16

What questions should I ask before licensing an AI molecular design platform?

Type

Buying intent

Avg Rank

—

Platforms

Competitors

#17

How do different AI platforms handle public versus private target structures?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

#18

What are the best tools for designing miniproteins with high success rates?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

#19

How do I choose between an AI model and a full molecular design suite?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

#20

What does an AI-powered computer-aided design suite for molecules do?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#21

What are the most common reasons AI-designed proteins fail in the lab?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

#22

How do AI-driven molecular design platforms compare on integration with existing R&D workflows?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

#23

What is the best way to pilot AI for protein engineering in a research team?

Type

Buying intent

Avg Rank

—

Platforms

Competitors

#24

What are the top capabilities to look for in AI software for de novo binder design?

Type

Buying intent

Avg Rank

—

Platforms

Competitors

#25

How do AI tools support design around ligands or post-translational modifications?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#26

What is the difference between structure prediction and structure-guided design?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#27

How can AI reduce the number of experimental rounds in antibody optimization?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

#28

What should an academic lab know before using AI for non-commercial protein design?

Type

Buying intent

Avg Rank

—

Platforms

Competitors

#29

How do AI platforms compare for design speed versus experimental accuracy?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

#30

What are the benefits of using AI for molecular design instead of screening large libraries?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

Citation Ecosystem

Understanding where AI models source information about your brand

Citation Breakdowncitations by source type

100%Third Party

Owned 0%

Competitor 0%

Third Party 100%

Not Cited 0%

Top Domainsthe sources AI cites most

pmc.ncbi.nlm.nih.gov130

youtube.com58

nature.com54

sciencedirect.com41

linkedin.com25

Chaidiscovery

Mention Rate

Chaidiscovery

Scorecard

Visibility Score

Share of Voice

Average Rank

Visibility Distribution

Platform Performance

ChatGPT

Google Overview

Perplexity

CompetitiveLandscape

Prompt-Level Detail

All Prompts

Citation Ecosystem

Competitive
Landscape