How to Rank and Get Cited in GLM

GLM logoBe visible in China's leading open models.Zhipu's GLM family, a top open model for agents and coding, widely deployed across Chinese enterprise apps.

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Scanned daily via Model API

omnifamous.com/ai-visibility/glm
GLM logo
GLM visibility
Scanned daily via Model API
GLM-4.6GLM-4.5 Live
Mention rate
54%
+26 pts
Avg. position
#1.8
+0.8
Citations
106
+27
Share of voice
28%
+9 pts
Mention rate in GLM, last 12 weeks
Share of voice
Competitor A
30%
Your brand
28%
Competitor B
16%
Competitor C
9%
PromptMentionedPositionTop cited source
best CRM for small B2B teamsYes#2g2.com
HubSpot alternatives for startupsYes#1yourbrand.com
which CRM has the best email automationNo-reddit.com
CRM with a native Slack integrationYes#3capterra.com

Your GLM dashboard in omnifamous. Sample data shown.

Open
Weights used by agent and coding tools
Daily
Scans of your prompts via the model API
Training
Data shapes most of what it knows
Why GLM

Why optimize for GLM

What makes GLM worth winning, and what it rewards.

01

Agent favorite

GLM is a popular choice inside coding and agent tools, where developers ask for tool recommendations.

02

Enterprise reach in China

Zhipu sells GLM into large Chinese enterprises and government, a market most brands cannot see.

03

Earned through coverage

Open models learn from the public web. Consistent, well-cited content is how you shape what they say.

What we do for you

Get named and cited in GLM

GLM, Zhipu's open model family, is increasingly used in assistants and agents. We track whether it names your brand, then do the work to get you there.

Tests your brand against the real prompts people ask GLM when they compare tools and providers in your category.

Shows which prompts already name you, where a competitor wins instead, and what GLM seems to know about you.

Turns each gap into finished, authoritative content across the open web. We research, write, and publish, you approve.

Re-scans on a schedule so you can watch your GLM visibility grow as new content lands.

How it works

From audit to GLM citations

Four steps. You stay the editor, the engine handles the rest.

1

Run the free AI visibility audit. We check your brand against GLM and the other major engines in minutes.

2

We map the prompts where competitors win and the sources that shape what GLM knows about your space.

3

Our engine writes clear, factual, widely-cited content that teaches models like GLM who you are.

4

We publish and keep watching GLM, so mentions grow month over month.

FAQ

Questions, answered

Everything you need to know about how the engine does the work for you.

GLM answers mostly from its training data, so what it knows about your category is shaped by the open web: authoritative articles, Wikipedia, forums, and widely-cited pages. Ranking means being well-represented there. When GLM runs with web search or retrieval, clear rankings and direct answers matter too. We handle both.

In its base chat, GLM answers from memory and does not always link sources. With web search or a retrieval setup it can cite the pages it used, favoring clear, well-ranked content. Being the trusted, quotable source in your space is the goal, which is the content we produce.

Build a strong, consistent open-web presence: authoritative articles, reputable mentions, and clear answers to your category's questions. That shapes what GLM recalls and what any retrieval layer pulls. We track competitor mentions, then write and publish the content that puts you in the answer.

Yes. Open models power a fast-growing set of apps and agents, often through model hosting platforms. If GLM does not know your brand, those downstream products will not recommend you. We measure your presence and do the work to improve it.

Still have questions? Talk to us

More AI models

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Your competitors are already cited by GLM

Find out where you stand in minutes. Run a free audit, then let omnifamous write and track the content that gets you cited in GLM too.

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