Qwairy

GLM Visibility Tracker

See when GLM recommends your brand, in which position, which sources it relies on and which competitors it names instead.
  • 1 API model

Example answer

What are the best running shoes for a first marathon?

GLMGLM 5.3 Flash
Brand

Mentioned

Position #2

Competitors

2

2 brands observed

Sources

0

None observed

Modules

0

None observed

Answer

For a first marathon, favor cushioning, stability and a pair you have already broken in.

  1. Puma for maximum cushioning on long runs
  2. Your brand praised by runners for comfort after 30 km
  3. Mizuno a lighter pick for faster runners
Lefebvre Dalloz
Converteo
Nissan
Razorfish

One platform for GLM and every other AI engine

Qwairy shows what AI engines say about your brand, explains why, tells you what to do next and measures the impact.
  • Visibility and position

    How often GLM mentions your brand, in which position, prompt by prompt and over time.

    Monitor
  • Competitive benchmark

    The brands GLM recommends next to yours, and how your visibility compares with theirs.

    Cockpit
  • Sources and citations

    The pages, media and social platforms GLM cites, and which of your own pages it uses.

    Optimize
  • Sentiment and perception

    How GLM describes your brand and positions it against your competitors.

    Analyze
  • Recommended actions

    Prioritized content and backlink opportunities, and citation-ready briefs in Content Studio.

    Act
  • Measured impact

    AI crawler visits, traffic from AI referrers and AI revenue, measured next to your visibility.

    Measure

How Qwairy tracks GLM

Qwairy reads each engine where its answers are most complete: in its interface, by scraping the page your customers see, or through an API, model by model.

API ยท premium models

Every model, side by side

Qwairy sends the same prompts to Z.ai models through an API: compare versions and see which one names your brand, in which position and next to which competitors. These same models also write inside coding and content generation tools: what they know about your brand ends up in the text they produce.

  • GLM 5.3 Flash

1

model compared

Catalogue of 17 AI engines and model families from 15 vendors: 11 web interfaces and 8 API families. Availability varies by engine.

See every engine

How GLM answers

GLM is the family of language models developed by Zhipu AI, which operates internationally as Z.ai. GLM models power the ChatGLM assistant and are widely used as open-weight and API models. Qwairy queries GLM models through the API.

  • Is available both as open-weight models and through a commercial API.
  • Powers the ChatGLM assistant and many enterprise deployments in China.
  • Is increasingly used for coding and agent workloads.

Who uses GLM

GLM is used by companies and public organizations in China, and by developers worldwide through its open models and API. Its models are also offered as the engine of coding tools.

How to improve your visibility in GLM

  1. 01

    Make sure Chinese-language sources describe your brand accurately.

  2. 02

    Publish clear technical documentation, which developer-oriented models rely on.

  3. 03

    Compare GLM answers with other engines to spot missing or outdated knowledge.

  4. 04

    Measure the impact: track the prompts that matter and follow mentions, sources and competitors in GLM over time.

Start with Qwairy

See how GLM talks about your brand

Track your prompts in GLM and every other major AI engine, then act on what they cite.

FAQ

GLM visibility tracking FAQ

What to know before you track your brand in GLM.

Qwairy sends your prompts to GLM models through an API. Each answer is analyzed for brand mentions, position, sentiment, citations and competitors, with the same method used for every other engine.

GLM is the model family. Zhipu AI is the company that develops it, and Z.ai is the name it uses internationally.

GLM models are deployed by many organizations in China and reused by developers elsewhere. Tracking them shows how your brand appears in answers built on them.

Each engine retrieves different sources and names different brands. Two engines answering the same prompt can cite very different domains, so a good position elsewhere says little about GLM.