Parse

See where your brand stands in AI recommendations.

Products

  • Brands
  • Markets
  • Work with us
  • Pricing

Resources

  • Research
  • Methodology
  • Blog
  • MCP

© 2026 Parse. All rights reserved.

LegalPrivacy PolicyTerms of Service
Parse
Pricing
Sign inCheck your brand
  1. Brands
  2. GLM
BrandsGLM

GLM in AI answers

Follow this brand

Data as of Sep 21, 2026 · Based on 3,332,371 AI responses across 10,526 prompts · See how Parse measures this

Latest insights

  1. CompetitionOptimism logoOptimism is the top alternative to GLM logoGLM2 questionsView competitors→View competitors

Explore

Competitors

GLM logoGLMkeg.cs.tsinghua.edu.cn · Low evidence
Low evidence

KEG is a research group in the Computer Science Department of Tsinghua University (keg.cs.tsinghua.edu.cn). The website serves as an information hub for the group’s research interests, projects, publications, and team members. It provides news, events, and contact details related to the lab’s activities.

Parse Score

22

#82 of 143 in DAO Governance & Public Goods Tokens

The market map · 5 of 100 labelled

DAO Governance & Public Goods Tokens →
1%2%5%10%20%Category leadersSpecialistsIn the mixLong tailNamed in more AI answers →Appears earlier in the answer →GitcoinOptimismEther (ETH)SnapshotCircleGLM

Where GLM ranks in AI

DAO Governance & Public Goods Tokens#82
Optimism logoOptimism
is the top alternative to
GLM logoGLM
  • Optimism logoOptimismPicked instead2 questions
  • Circle logoCirclePicked instead1 question
  • Snapshot logoSnapshotPicked instead1 question
  • Gitcoin DAO logoGitcoin DAOPicked instead1 question
  • Decentralized Pictures logoDecentralized PicturesPicked instead1 question

Questions

No contexts measured yet.

Question
Visibility for this question
I want to support public goods. What is the best token whose protocol directly funds open-source software development?2.4
For on-prem deployment with no data leaving our network, what model should we run?1.8
We need a frontier model provider for reasoning-heavy agent workflows. Which AI labs should we benchmark?0.5