
Positioning shows up in what a company puts on its homepage, what it writes about and what it ships. When a competitor changes any of these, the shift is easy to sense and hard to date. Actionbook tracks those changes for you. It collects a competitor's homepage history, blog posts, releases and market response in your browser, and lines them up in one dashboard, dated phase by phase.
What a competitor positioning analysis is
A competitor positioning analysis tracks how a company describes itself over time: who it targets, what it offers and what it promises. It splits the company's history into phases, dates each change and checks whether the product and the market moved with the message.
Marketing teams use it to explain how a competitor talks about itself today, and how that changed. Product teams use it to check whether a new story is backed by what the company ships. Founders use it to decide where to position against a competitor that keeps moving.
How Actionbook analyzes a competitor
Actionbook is a Chrome extension that collects the data in your browser and builds the dashboard you need. A positioning analysis needs two kinds of evidence: what the company says about itself, and how the outside world responded. Actionbook opens those pages in your browser and collects the data from every platform automatically.
What the company says:
- Archived copies of the homepage on the Wayback Machine, about twice a month: the title, banner, quick actions and top navigation on each date.
- The company's blog, release notes and feature pages: each post's date, the scenario it covers, the audience it targets and whether it announces a feature release.
- The company's official X account: the date and views of its most-engaged posts, plus every post from the latest month, read with your own X login.
How the market responded:
- Google Trends for the company's name, weekly, worldwide and in the US.
- Similarweb for monthly visits and top countries. If Similarweb doesn't load, Actionbook uses another public estimate and says which.
- LinkedIn for posts by the company and posts that mention it, with their reactions and comments.
- Product Hunt for each launch: its date, upvotes and comments.
Beyond these platforms, Actionbook runs web searches across the internet for anything else that mentions the company, like press coverage, reviews, launch write-ups, and Reddit and X threads. What it finds is added as dated evidence next to the rest.
With the evidence in, Actionbook builds the dashboard around what you asked for. It splits the history into phases, starting a new one where the homepage title, banner or main entry points change, then picks the charts and layout that fit what the data shows. Labels it infers, like a post's audience, are marked as inferred, and missing data stays marked as missing instead of showing up as zero.
The dashboard is its own page with its own link, and it's private by default. You decide who sees it: invite a colleague or a client by email, or make it public so anyone with the link can open it. Only you can change it.
What the analysis shows
Positioning phases over time
Each positioning phase is a colored band, with search interest as a line and feature releases per month as bars on top, so you can see when the story changed and what moved with it. Pick a phase, and a detail panel shows its promise, a quote from the homepage and the snapshots on either side of the change. Releases clustered just before a band edge mean the product moved first. Releases that only start after it mean the message went out ahead of the product.
How the homepage changed
A matrix shows one column per snapshot and one row per homepage element, grouped into what the company pushes, who it targets and what it promises. Snapshots come about twice a month, so you can see which one each quick action, menu item, title or banner first appeared or disappeared in. If a phase split looks wrong, ask Actionbook to move it.
What the company writes about
Each phase's posts are broken down by scenario and audience, to show whether the content backs up the homepage. If the homepage moves to a new audience but the posts keep writing for the old one, the shift is still on the surface.
How the market responded
Views of the company's official X posts are plotted over time and colored by phase, so each spike sits in the phase it belongs to. A Similarweb traffic estimate sits alongside, with monthly visits and the period it covers.
The evidence behind each chart
Tabs below the charts list every homepage snapshot, official post, X post and feature page behind the dashboard. Each record links back to its source, so every number and conclusion in the sections above can be traced and checked.
Why use Actionbook
AI research tools collect competitor data through web search. They work from search snippets and indexed pages, which miss much of what a positioning analysis needs, like the homepage on a given date or the view count on an X post. And what you get back is a report, not a dashboard you can share and keep editing.
Dashboard tools only build from the sources they have a connector for, or from files you upload. Once built, the dashboard just sits there. To dig into a number or bring in newer data, you're back to exporting and rebuilding.
Actionbook works on each platform the way you would. It steps through Wayback Machine snapshots by date, scrolls the company's blog, runs the query in Google Trends and reads view counts on X, so every record comes from the page itself and traces back to it. The result is a dashboard you can share. When something stands out, ask about it in the side panel, and Actionbook goes back to the sources for the answer.
More you can do with Playbooks
Competitor positioning is one Playbook. Each Playbook is a ready-made dashboard you pick, fill in, and Actionbook builds from your own data. A few others:
- Competitor Pricing Comparison: your plans next to competitors', priced for the same customer, so you see where your prices land and what to change.
- Competitor Design Teardown: how competitors solve the same task, with design ideas to reduce effort and test with your users.
- Google & Meta Ads Performance: spend, conversions and CPA across both ad accounts, with the campaigns to scale or cut this week.
- New-User Activation Funnel: a weekly PostHog funnel from first visit to first completed core task, with the biggest drop-offs and what to investigate first.
- Google Index Checker: which pages you published this week Google has indexed, and which updates it hasn't seen yet.