Keyword gap analysis
The searches your rivals show up for on Google and you don't, sorted into what to write.
- Not ranking63%
- Behind27%
- Level10%
ledgerline.io
What is a keyword gap?
The searches your rivals show up for on Google and you don’t, or where you show up below them.
Competitor keyword research lists everything one rival shows up for. A keyword gap analysis puts your site next to several rivals and keeps only the searches you are missing.
Each one is a page you could write, or a page you already have that needs to be better.
How it works
Name your site and your rivals
Your website and up to five rivals, in the country you sell in.
Chatly lines up the rankings
Every search any of you shows up for, with each site's spot on Google side by side.
Get the gaps back
Each search marked not ranking, behind or level, with the easiest to win first.
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tidybooks.com isn’t in the top 100.
Gaps worth asking about
What rivals have and you don't
Which Google searches do ledgerly.com and billwise.io show up for that tidybooks.com doesn't?
Every gap, sorted into topics.
Try itWhere you're behind
Where does tidybooks.com show up below ledgerly.com on Google?
Searches where you're close, but behind.
Try itThe easy wins
Which of tidybooks.com's gaps are easiest to win, with at least 500 searches a month?
A short list to write for first.
Try itTurn gaps into articles
Group tidybooks.com's gaps into articles we could write, biggest first.
A list of articles, each with its searches.
Try itGaps for one product
Gaps for tents between our store and two rivals, in the UK.
The searches for one product line only.
Try itDid the gap shrink
How has tidybooks.com's gap with ledgerly.com changed since last month?
What you closed, and what's new.
Try it
What you get
You ask: “Which searches should Tidybooks go after first?”
Who it’s for
36 searches to write for, easiest first.
Content leads building a roadmap
Turn the gap into the next few months of articles, ordered by how many people search and how easy each is to win.
Rival stores show up for “wide trail shoes”. You don't.
Ecommerce category managers
Find the product searches where rival stores show up on Google and your category pages do not.
The gap closed by nine searches since last month.
Agencies reporting to clients
Show a client the searches their rivals win, then track the gap getting smaller month by month in the same sheet.
Frequently asked questions
What is a keyword gap analysis?
A side-by-side look at the Google searches you and your rivals show up for. It keeps the searches they show up for and you don't, and the ones where you show up below them.
How is it different from competitor keyword research?
Competitor keyword research lists everything one rival shows up for. A gap analysis compares several rivals with your own site and keeps only what you are missing.
What is the difference between a keyword gap and a content gap?
A keyword gap is a search you are missing. A content gap is the page you would need to write to show up for it. The gap sheet groups searches into topics, so each topic is one page to write.
How many competitors can I compare?
Up to five at once. Each gets its own column, so you can see which gaps one rival owns and which all of them share.
Which gaps should I go after first?
Searches you are not ranking for that plenty of people make and that are easy to rank for, where a rival shows up with an ordinary page. The sheet marks these as easy wins.
How often should I run a keyword gap analysis?
Every month or two. Rivals publish new pages and rankings move, and running it again shows whether your gap is getting smaller.
One prompt in.
Real work out.
The searches your rivals show up for on Google and you don't, sorted into what to write.
Chatly on your phone and your Mac
Chatly for iPhone
Ask for the keyword list on the train, check the top rows, and open the sheet from your phone. Every report you run here is on your phone.
Download on the App Store
Chatly for Mac
SEO research on your desktop, with the site lists and exports you already have to hand.
Download for macOS