I rebuilt ten years of Notion’s homepage as a dashboard. The product moved first almost every time.
In June 2016, Notion’s homepage called it a tool “made for modern thinkers.” In August 2026 it says “Where teams and agents think together.” Six positioning phases sit between those two lines. Each is easy to spot in hindsight and hard to date, and harder still to say whether the product moved first or the message did.
A positioning analysis answers that from three sources: the homepage for what a company claims, the blog and changelog for what it builds, and search and social data for whether anyone cared. I ran one on Notion’s public pages. It shipped first and rewrote the homepage afterward, almost every time. Here’s the method, the dashboard, and the two signals I now check first.
The method, by hand: five steps
You can do all of this by hand, with nothing but a browser and a spreadsheet. It’s slow, and further down I’ll show how I automated it. Doing it once by hand first still helps: you’ll know what every chart in the dashboard is built from.
Pick the company and the window. Choose the competitor buyers compare you with most. Cover at least a year, or everything since launch. Shorter windows tend to catch one phase and miss the change.
Capture the homepage over time. Open the Wayback Machine, enter the homepage URL and pick one snapshot a month. For each date, write down four things: the page title, the headline, the main buttons and the top navigation. Those four carry most of the positioning.
Mark the phases. Start a new phase wherever the title, headline or navigation changes. For each phase, write one line each for who it targets, what it offers and what it promises. Use the company’s own words where you can.
Match content and releases to each phase. Sort the posts in each phase by the scenario and audience they cover, and count feature releases per month. Together they show whether the blog and the product back up what the homepage says.
Check how the market responded. Look at how outsiders reacted around each shift: search interest on Google Trends, views on the company’s X posts, discussion on Reddit and LinkedIn, and a traffic estimate from Similarweb. Keep the dates and gaps visible, and treat the numbers as context: they rarely prove that a message worked.
For Notion, this came to 119 homepage snapshots and 830 official posts across ten years. By hand, that’s days of copying and pasting, and it’s out of date the next time they ship.
Automating it with Actionbook
Actionbook, the Chrome extension we make, ran all five steps for Notion. It works inside the browser and opens each site the way a person would, so it reads what is on the page: the archived homepage on a given date, the view count under an X post.
In about 30 minutes it collected 119 homepage snapshots from the Wayback Machine, 830 posts from Notion’s blog, changelog and customer stories, 41 posts from @NotionHQ with their views, monthly Google Trends data and a traffic estimate. It tagged every post with its scenario and audience, and split the history into phases wherever the homepage title, headline or navigation changed. Labels it inferred are marked as inferred, and missing data stays missing instead of showing up as zero.
The result is a dashboard you can share with your colleagues and clients. When a number stands out, you ask about it in the side panel, and Actionbook goes back to the sources for the answer.
What ten years of Notion data show
The dashboard has four views. Here’s what each one showed for Notion.
1. Positioning phases over time
Each phase is a colored band. Search interest runs across it as a line, and feature releases per month sit on top as bars. Notion split into six phases:
- January 2016 to March 2018: docs, wikis and tasks in one. “Docs, wikis, tasks. Seamlessly in one.”
- April 2018 to September 2021: the all-in-one workspace. “The all-in-one workspace for your notes, tasks, wikis, and databases.”
- October 2021 to February 2023: every team. “One workspace. Every team. We’re more than a doc. Or a table.”
- March 2023 to May 2025: the connected workspace. “Your wiki, docs & projects. Together,” with AI added to the headline in December 2023.
- June to October 2025: the AI workspace. “The AI workspace that works for you.”
- November 2025 to now: agents. “Work faster with your AI team.” The page title still reads “The AI workspace that works for you.”
Clicking a phase opens its detail panel: the headline, releases per month, average search interest and the snapshots on either side of the change. This is where I check whether a split is real. My first pass treated June 2025 to today as one phase, because the page title never changed. The snapshots said otherwise: in November 2025 the headline, the meta description and the navigation (a new Agents entry) all changed in the same month. Since then the headline has been rewritten three more times, from “One workspace. Zero busywork” to “Meet the night shift” in April 2026 and “Where teams and agents think together” in August. All three are about agents.
2. How the homepage changed
The matrix showed two details I’d have missed by hand. In March 2021, still in the all-in-one phase, the homepage added “Switch from Evernote” and “Switch from Confluence.” Notion was naming what it wanted to replace, one tool for individuals and one for teams. Seven months later the headline became “One workspace. Every team.”
The second is a lag. The headline changed between September and October 2021, but the browser page title kept the old wording until February 2022. If you only check page titles, you date that shift four months late.
3. What the company writes about
Notion’s 830 official posts (blog, changelog and customer stories) are broken down by scenario and audience for each phase. The topics followed the homepage. Project and task management peaked at 36% of posts in the connected-workspace phase, the same phase Projects launched in. Agents and automation went from 1% of posts in that phase to 17% in the AI-workspace phase and 39% in the agents phase.
The original pitch faded fast. Docs, wikis and tasks made up 52% of posts in the connected-workspace phase, then 8% and 17% in the two AI phases.
Audience is less tidy. In the all-in-one phase, 68% of posts didn’t name an audience. In the agents phase it’s 86%. Posts aimed at enterprise or large teams stayed at about 4% or less in every phase.
4. How the market responded
Views on @NotionHQ posts are plotted over time, colored by phase. The biggest one is recent: the July 9, 2026 “Ship OS” post reached 3.4M views.
Search interest for “notion.com” averaged 18 in the connected-workspace phase, 38 in the AI-workspace phase and 64 in the agents phase, on a relative scale where the peak is 100.
What the data can’t tell you
A dashboard like this looks more certain than it is, so here’s where I hold back.
- Wayback has gaps. From 2016 to early 2021, Notion’s archived homepage is an app shell, and only the page title survives. The matrix shows those months as unknown, which is different from absent.
- Post topics describe the company. Scenarios and audiences are classified by keyword rules on titles and URLs. They show what Notion chooses to talk about and say nothing about who uses it.
- View counts are a moment in time. The values were read on October 26, 2026, and X doesn’t show views for posts before December 2022. Recent posts are still collecting.
- Search terms are noisy. “notion.com” is a low-volume term that sits near zero in early years, so the chart overlays “notion” as a reference.
- Traffic sources disagree. Two estimates gave 186.9M and 149.1M for the same month. The dashboard names both and draws no trend.
Conclusion
Once you have the homepage history, the content mix and the market response on one timeline, most arguments about a competitor turn into a question you can look up.
Start by hand if you want to learn the method. When you’d rather not redo it after every launch, rerun the dashboard instead: new snapshots and posts land at the same link, so the timeline keeps growing.
If you want to try it on your own competitor, the setup I used is here: Competitor Positioning Analysis.
Top comments (0)