GLM 5.2 is Z.AI‘s flagship model, and it is available as a built-in model you can select directly from the Notion. It comes included with the Notion Business plan at no extra API cost, alongside other models like Claude Opus 4.8 and GPT-5.5.
GLM 5.2 specifically good for content workflows because of how it handles long, multi-step prompts. When you write a prompt in markdown, it executes the whole sequence in order. Workflows require research, structure, drafting, formatting, and editing and they all require multiple steps within each prompt to complete.
The speed is the other thing that stands out. In the video walkthrough, GLM 5.2 built an entire content library database with all columns and properties in about 10 seconds. It researched three separate AI models in parallel, searched the web for each, and created individual child pages with sources and links in roughly 30 to 40 seconds. It drafted a full blog post following a template skill in about 30 seconds.
This is faster than Opus 4.8 and faster than anything I have seen with any model in Notion. For marketers moving through content at volume, that speed difference adds up fast. The full YouTube walkthrough is below.
Step 1: Building Your Content Library Database
The first step is creating a database in Notion. If you are not familiar with Notion, think of it like Google Drive, Google Docs, and Google Sheets all powered by AI in one place. A database is Notion’s version of a spreadsheet, and you can create one inline within a page or as a standalone full-page database.
To build the content library, I used GLM 5.2 with a markdown-formatted prompt that laid out every column I needed. Writing your prompt in markdown, using hashtags for each step, helps the model follow the structure. Here is what I asked it to build:
Content Library Database Columns:
- Publish Date — when the blog goes live (your calendar view)
- Name — the blog title (also where you write the blog itself)
- Blog Topic — multi-select tags for categorizing posts
- Status — Idea, Drafting, Editing, Published
- URL — the live WordPress URL once published
- Platform Checkboxes — WordPress/Blog, TikTok Video, IG Reel, YouTube Short, LinkedIn
I also asked GLM 5.2 to group the database by status so that ideas, drafts, and published posts segment automatically. You can always change the grouping later, but starting with a status grouping gives you a clean content calendar view right away.
If you were to build that by hand, it would take a while. This is where GLM 5.2’s agentic task performance really shows. It one-shot the build. You set the status colors, customize the topic tags, and you have a working content library.
One of the things that makes Notion powerful for content is that you can write the blog directly inside the database row. When you click into a row, it expands into a full page where you can write, edit, reorganize, and use the AI. You do not need to go create a separate page somewhere else. The blog lives in the same row where you track its status.
Step 2: Creating a Blog Template as an AI Skill
In Notion, you can use pages as AI skills. If you are familiar with skills in Claude or ChatGPT, it is the same concept. A page can define a set of instructions that Notion AI follows when you mention it in your AI panel.
I created a page called “Blog Template 1” and set it to be used as an AI skill. When you open the AI in Notion, you can select that skill from a dropdown, and the model follows the template structure automatically.
Blog Template Structure:
- SEO-centric title
- Intro with a bullet point segment covering the main topics
- 2-3 H2 headers for body sections
- Full body paragraphs, not thin content. Aim for 1,000+ words
- Social media captions for each platform
- Image prompt
- SEO elements matching Yoast (Focus Keyphrase, SEO Title, Slug, Meta Description, Alt Text, Tags)
- Author bio
- Comparison table
I also asked GLM 5.2 for suggestions on the template, and it built out the entire structure in seconds. The key here is that this template becomes a repeatable skill. Every time you write a new blog, you select the skill, give it the research and topic, and it follows the same structure. You are not pasting instructions manually every time. The template is your consistent output engine.
Step 3: Researching a Blog Series with Parallel Searches
With the content library and template in place, the next step is research. I created a blog research prompt for an upcoming July blog series covering AI models and how they assist marketers in digital advertising.
I used markdown again to structure the prompt, listing out the topics to cover for each blog and the models to research. The models were Fable 5, ChatGPT 5.6 (OpenAI’s new line), and GLM 5.2 plus other open-source models. The topics across each blog included:
Research Topics per Blog:
- Building ad sets and copy with AI in platforms like Notion
- SEO work and GEO (Generative Engine Optimization)
- Web crawling and competitor analysis
- Reporting and creating client decks
- Writing API scripts for reverse LLM queries
- Keyword research and automation
I asked GLM 5.2 to research these from the web, include links, and create child pages for each blog’s research. This is a long, multi-step prompt, but that is exactly what GLM 5.2 is built for. A year ago, if you threw this at ChatGPT, it would probably break or return poor results. GLM 5.2 executed it cleanly.
In practice, it searched all three models in parallel, meaning it researched Fable 5, ChatGPT 5.6, and GLM 5.2 at the same time, not sequentially. It pulled sources from the web, organized the findings, and created three separate child pages, one for each blog and model, with all links and sources listed. The entire research pass took about 30 to 40 seconds in real time, with no fast-forwarding.
If you are researching an unfamiliar topic for a client, this kind of parallel research with structured output is a major time saver. The research pages themselves are almost blog-ready, and they serve as the reference layer when you actually write the blogs.
Step 4: Writing the Blogs with the Template Skill
Now that the research is done, it is time to write. I went back to the content library, opened the first blog page, and selected the Blog Template 1 skill from the AI dropdown. That is how easy it is. You select the skill, tell it to write the full blog based on the research page, and it uses both the template structure and the research page as its reference points.
GLM 5.2 confirmed what it was doing, then wrote the entire blog in about 30 seconds. It followed the template structure, included social media captions for each platform, generated an image prompt, and produced the SEO elements. One shot, full draft, done.
I want to be clear: you should not just pump out content and post it. You need to make sure it is quality before it goes live. But for the drafting process, this is a real acceleration. What used to take an hour of writing now takes 30 seconds of generation plus your editing time.
Step 5: Building an Editing Template and Running the Edit Pass
Writing is only half the workflow. The other half is editing, and this is where having a separate template matters. I created a new page called “Editing Template 1” and set it up as another AI skill.
Editing Template Instructions:
- Review blogs for repetitiveness and generic content
- Check for generic phrases and flag them
- Verify there is a blog title, and write one if missing
- Check headers for structure and keyword stuffing
- Insert placeholders for images
- Check for internal links to previously published blogs
- Check for outbound links to research sources
- Verify the focus keyphrase is present
- Check transition words and readability
- Flag paragraphs that are too long or run-on
- Verify divider usage and section length
After the editing template is created, you open the blog you want to edit, select the editing skill in the AI panel, and ask it to review the blog. I recommend having it drop findings in the chat first before making changes, so you can review what it found before applying updates. If it makes changes you do not like, you can always use Notion’s version history to reset to a previous version.
GLM 5.2 ran the entire editing workflow in about half a second. It found missing keywords, flagged generic phrases, checked internal and outbound links, identified repetition, and compiled a list of updates to apply.
You can apply all updates at once or go through them one by one. I recommend going step by step for real work, but for the walkthrough I applied them all at once to show the speed. When you apply changes, you can view them through the “show changes” view to see exactly what was modified.
One thing you will encounter when using Notion AI to update pages is what I call the “old string” bug. Sometimes when the AI tries to update a page, the edit does not go through. It is a known bug in Notion that pops up every now and then.
When it happens, you just ask the AI to check the old string and fix it. The model knows what to do. It is always good to know how to troubleshoot, because as with any tech or AI, it is not perfect. It makes mistakes, and you need to know how to handle them.
If you ever accidentally delete something, you can recover it from the trash. Notion also has version history, so you can reset to previous versions of a page at any time. In the walkthrough, this bug actually popped up while I was recording, and I worked through it live so you can see exactly how to handle it.
Why the 1M Token Context Window Matters for Editing
One of the features that makes this workflow possible is the 1M token context window. For reference, a million tokens is longer than the entire Harry Potter series. Most of the new models now have a 1M token context window, meaning the model can hold a million tokens in its reasoning at once.
In the editing pass, GLM 5.2 looked at 28 different pages in a single session. I did not need all of them, but it could handle it. This matters for marketers because when you are editing, the model can look at your brand guidelines, your template, your keyword database, a list of content you already published, and the blog you are currently working on, all at the same time. It is not limited to just the page in front of it.
With Notion AI, you are choosing the model and giving it the brain, but it is a writer, a builder, an editor, and a researcher. It can do all of those things right here in Notion, and that is what makes the Business plan so valuable. You get all these models included, and you can switch between them whenever you want.
Staying Human-in-the-Loop
I want to stress this: you should not be just one-shotting blogs and posting them in mass. Google will not index them. They are getting better at detecting spam networks, so do not just set up this system, let it write 20 blogs, and post them all. That is not a good idea.
You want to go through the process. You want each blog to have a unique angle. You want to spend time editing. What Notion with GLM 5.2 does is let you draft and edit quickly so you can get through the mechanical part faster, and then actually parse through it yourself as a human with a brain and eyes.
In the walkthrough, GLM 5.2 was putting “GPT 5.6” in every single header of one blog. That is keyword stuffing, and it should not be happening. I caught it because I read through the draft. The AI gets a little overzealous sometimes. You update your editing template to reflect those patterns so the next draft avoids them. You iterate a couple of times, and you set yourself up for success.
The point is: still review your content yourself. You will catch things the AI is doing that it should not be doing. One good blog a week, done well, beats 10 blogs pumped out without review.
Below are the steps and pieces you need to build out in the workflow.
| Component | What It Does | Why It Matters |
|---|---|---|
| Content Library Database | Tracks every blog with status, topic, publish date, and platform checkboxes | Single source of truth for what is written, in progress, and published |
| Blog Template Page (AI Skill) | Defines SEO structure, headers, body depth, social captions, and Yoast elements | Every blog follows the same structure automatically without manual prompting |
| Blog Research Page | GLM 5.2 researches topics in parallel and creates child pages with sources | Feeds the writing with real links and data, not generic filler |
| Editing Template Page (AI Skill) | Reviews for repetition, generic phrases, keyword stuffing, links, and structure | Catches the patterns AI tends to produce before you review manually |
| GLM 5.2 Model | Executes multi-step agentic prompts for building, researching, writing, and editing | Faster than any model I have used in Notion for this type of workflow |
| Notion Business Plan | Includes GLM 5.2, Opus 4.8, GPT-5.5, and 300 agent credits at roughly $25/user/month | All models included, no extra API costs, and you can switch between them per task |
What Else You Can Build in Notion
This is just one workflow. Notion is an infinitely customizable universe. You can use the same approach to build:
- Social media calendars — track posts across platforms with the same database structure
- Client hubs — centralize research, reporting, and content for each client
- Knowledge bases — create internal wikis with AI-assisted search and drafting
- Project management — track deliverables, timelines, and assignments
- Email outreach systems — I run a 21-job AI automation pipeline for pennies a day using similar infrastructure
The combination of Notion’s flexibility and GLM 5.2’s agentic speed means you can build and execute content systems that previously required multiple tools and manual work. I also compared GLM 5.2 against other models in my Qwen 3.7 vs Kimi K2.7 vs MiniMax M3 vs GLM 5.2 breakdown, and the takeaway is that routing the right work to the right model is the 2026 playbook. I will continue this series with different models, comparing and contrasting how they build, write, and edit in Notion.
Frequently Asked Questions
Is GLM 5.2 free in Notion?
GLM 5.2 is included with the Notion Business plan at no extra API cost. The Business plan runs about $25 to $26 per user per month and includes access to multiple frontier models (GLM 5.2, Claude Opus 4.8, GPT-5.5) plus 300 agent credits for building other automations.
How fast is GLM 5.2 compared to Claude Opus 4.8 in Notion?
In my testing, GLM 5.2 is faster than Opus 4.8 for agentic content tasks. It built a full database in 10 seconds, researched three models in parallel with web searches in 30 to 40 seconds, drafted a full blog in 30 seconds, and ran an editing pass in under a second. Opus 4.8 may still edge ahead on quality for certain editing tasks, which is why switching models per task is useful.
Can I use a different model for editing?
Yes. You can use Opus 4.8 for editing and GLM 5.2 for drafting and research. Notion lets you switch models in the AI panel whenever you want. I stuck with GLM 5.2 for the walkthrough, but using Opus 4.8 as the editor is a strong approach.