01What Are New Chinese AI Models for SEO?

New Chinese AI models for SEO are advanced artificial intelligence systems that can automate many search engine optimization tasks. They can write code, read long documents, and even interact with your screen to do boring data work. In this episode, Julian Goldie introduces three such models: KimiK 2.7, GLM 5.2, and QN 3.7 Plus.

Each one has special abilities that make SEO easier and faster.

These models are not just chatbots. They are built to act like workers. They can run for hours, complete tasks on their own, and handle big chunks of information.

For example, KimiK 2.7 can write a custom keyword tool, GLM 5.2 can audit your entire blog at once, and QN 3.7 Plus can click around your dashboard like a tiny robot. That means you can save time and focus on growing your business.

02Key Features of KimiK 2.7, GLM 5.2, and QN 3.7 Plus

Each model has unique features that make it useful for SEO work. KimiK 2.7 is a coding model with 1 trillion parameters, but it only activates 32 billion at a time. This saves power and speeds up performance. It has a 256,000-word context window, so it can handle large code projects.

The maker, Moonshot AI, says it uses 30% fewer thinking tokens, meaning it gets to the point faster.

GLM 5.2 has a 1 million-word context window—that is huge. It can read a full book or your entire blog site in one go. It has about 744 to 753 billion parameters, with 40 billion active.

Its coding test scores are top for open models. QN 3.7 Plus from Alibaba can see your screen and click around. It also has a 1 million-word memory and can read images and video, making it perfect for visual data tasks.

  • KimiK 2.7: Free, open weights, coding focused, released June 12, 2026.
  • GLM 5.2: Open MIT license, huge context, released mid-June 2026.
  • QN 3.7 Plus: Cloud-based, screen interaction, released June 1, 2026.

03How to Set Up New Chinese AI Models for SEO

Getting started with these models is simple. Here are the steps Julian shows in the episode to set them up for SEO tasks.

  1. Download KimiK 2.7 for free from Moonshot AI. It is open weights, so you can run it locally if you want.
  2. Access GLM 5.2 via z.ai. Since it is MIT-licensed, you can use it without heavy restrictions.
  3. Sign up for QN 3.7 Plus through Alibaba's cloud service. You do not need to download anything.
  4. Pick the model that matches your task. For coding a keyword tool, use KimiK. For reading a whole site, use GLM. For screen tasks, use QN.

Once set up, you can start giving them plain-language instructions. The models understand what you want and can execute tasks like building tools or pulling reports.

04Using the Models for Keyword Research and Content Audits

Julian shows two practical examples in the episode. First, he uses KimiK 2.7 to build a keyword tool. You give it a topic like "AI automation for small business," and it returns 20 long-tail keywords people actually search for.

Then it groups them by difficulty to rank.

Second, he uses GLM 5.2 for a content audit. If you have a blog with 200 posts, you can tell it to read them all at once. Ask it to find posts that compete for the same keyword, ones that are too thin, and gaps you might be missing.

That saves weeks of manual work.

For QN 3.7 Plus, Julian describes screen-based tasks. You can tell it to open your analytics, find your top 10 pages, check which keywords they rank for, and spot pages slipping down. It does the clicking and prepares a list of fixes for you.

05Results and Tests Shown in the Episode

Julian shares some test numbers from the episode. GLM 5.2 is currently the top open model on public coding tests, beating many big names and getting close to closed models. He notes these scores come from the company and a few outside trackers, so they are promising but not final.

QN 3.7 Plus had an impressive test run. Alibaba had it running for over 11 hours straight. It wrote more than 10,000 lines of code across more than 1,000 steps without human help.

These results show that open models are catching up to paid ones. That means you can get smart AI for SEO without a huge budget. The direction is clear: these models can handle heavy work reliably.

06Tips, Limits, and Mistakes to Avoid

Julian gives honest tips and warnings. First, QN 3.7 Plus can read images and video, but it cannot create them. So do not expect it to make a logo.

It is a worker, not an artist.

Second, these models can do SEO grunt work like keyword research and content audits, but they cannot do everything. Backlinks, site authority, and Google trust still need human effort or expert help. Avoid thinking AI alone will rank your site.

Also, be careful about test scores. They come from the company itself, so treat them as a strong sign, not the final word. Third, remember that context windows are big but not infinite.

For huge sites, you may still need to break tasks into parts.

  • Use the right model for the job: coding for KimiK, reading for GLM, screens for QN.
  • Do not rely solely on AI for authority building.
  • Verify all outputs, especially if you use them for live SEO decisions.

07Who Should Use New Chinese AI Models for SEO

These models are for anyone who does SEO and wants to save time. Small business owners who manage their own blogs can benefit. You can automate keyword research and content audits without hiring a big team.

It also matters for freelancers and marketing agencies. They can handle more clients by letting AI do the boring parts. Julian mentions his community, the AI Profit Boardroom, where people share AI tools and workflows daily.

That shows these tools are practical for real business growth.

Finally, if you want free traffic from Google, you need SEO. These models lower the cost of doing SEO well. They make it easier to produce content that ranks, find gaps, and maintain your site—all without a huge budget.

08Why These Models Matter for Your SEO Strategy

The big picture is a shift in AI. In 2024, we had chatbots. In 2025, thinking models.

Now, in 2026, we have agents—things that act. These agents matter for SEO because they can complete jobs from start to finish.

For example, you can have a model check your rankings, pull reports, and even suggest fixes while you sleep. That is a huge advantage over manual work. But Julian stresses that none of it works if Google does not trust your site.

You still need backlinks and authority.

So the right strategy is to use these models for the grunt work, but invest in your SEO foundation too. That is what actually puts you in front of people. Use the free tools, but do not neglect the human side of SEO.