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Competitor intelligence

Find the Google keywords your competitors win, and publish the articles that take them.

Every week, Rank.ai pulls the keywords each competitor ranks for that you don't, reads the pages winning them and groups the gaps into a plan. Approve it and Rank.ai writes and publishes the articles, then checks every day whether you've moved ahead.

How it works

From the keywords they win to the articles that pass them

Four steps, all inside Rank.ai.

01Map

See every keyword they win that you don't

Each week Rank.ai pulls each competitor's keywords from Ahrefs, drops their brand terms and the ones you already target, and scores the rest by traffic and difficulty. The biggest gaps you can realistically take come first.

02Read

Know why each winning page ranks

Rank.ai reads the competitor's ranking page: its type, format, topics and length, and a plain read on why it wins. When the winner is a calculator, you know before you write a blog post.

03Plan and publish

Turn the gaps into articles on your site

Press Plan hubs and the gaps are grouped into topic hubs, a main page with related pages around it, each page given the type that wins its results. Approve a hub and Rank.ai writes its first articles, researched against the competitor's page, in your voice, and publishes them to WordPress, Webflow, Shopify or Next.js.

04Overtake

Check every day whether you've passed them

Each article is checked daily against the page it targets. Three checks ahead in a row marks the keyword won; 21 days with no movement up marks it stalled, so nothing sits in the queue unnoticed.

Method

What runs, and when

Each step of the engine, the data it reads and how often it runs.

StepWhat it doesWhen
Keyword harvestEach competitor's organic keywords from Ahrefs. Their brand terms and the keywords you already target are dropped.Weekly, Mondays
Gap scorePotential × winnability. Potential is the competitor's estimated traffic for the keyword, or its search volume. Winnability is (100 − keyword difficulty) ÷ 100.Weekly
Page readThe competitor's ranking page: its type (article, comparison, docs, tool, glossary), format, topics, length and why it likely ranks.Weekly, at most once a month per page
Hub planGaps grouped into up to 6 hubs, each with up to 12 pages, every page given the type that wins its results.When you press Plan hubs
ArticlesThe hub's first three articles, comparisons or glossary pages, researched against the competitor's page, written in your voice, with a spending cap on each.When you approve a hub
Overtake checkYour position and the competitor's for each keyword. Won after three checks ahead in a row; stalled after 21 days with no movement up.Daily
Paid searchA competitor's paid keywords, estimated monthly ad spend and the landing pages they buy traffic to.On each competitor's profile

The competitor content engine, as it runs in Rank.ai.

MCP

Run the same analysis from your AI assistant

Rank.ai's MCP server lists your competitors, opens each one's Google, paid search and AI footprint, lists your content gaps and drafts the article, from Claude, ChatGPT, Codex or Cursor.

See the MCP server

Questions about competitor intelligence

What is a competitor content gap?
A keyword a competitor ranks for that you don't cover. Rank.ai pulls those keywords every week for each competitor you add, drops their brand terms and the keywords you already target, and scores the rest by traffic and difficulty, so the queue starts with the gaps worth taking.
How is the opportunity score calculated?
Score = potential × winnability. Potential is the competitor's estimated traffic from the keyword, or its search volume when traffic is unknown. Winnability comes from keyword difficulty: a keyword with difficulty 10 scores 0.9 and one with difficulty 90 scores 0.1. High traffic, low difficulty gaps come first.
Where does the data come from?
Keywords, volumes, difficulty and ad spend come from Ahrefs. Positions come from Google results checked daily. Page reads come from fetching the competitor's ranking page and reading it.
What does the page read tell me?
What kind of page you are up against (article, docs, tool, comparison or glossary), its format, the topics it covers, its length and why it likely ranks. If the top results for a keyword are calculators, the plan says so before you spend an article on it.
Why group gaps into hubs?
A competitor that ranks well rarely loses to one page. A hub is a main page and a set of related pages that link to each other, so you build a section of your site on the topic. Rank.ai groups your gaps into hubs and gives each page the type that wins its results.
What happens when I approve a hub?
Rank.ai writes the hub's first three article-shaped pages (articles, comparisons or glossary entries): researched against the competitor's page, in your voice, with a spending cap on each, and published to your WordPress, Webflow, Shopify or Next.js site. Tool and docs pages stay in the plan for your team to build.
How do I know it worked?
Each published article is checked daily against the competitor page it targets. A keyword is marked won after your page ranks ahead for three checks in a row, and one that shows no movement up for 21 days is marked stalled.
Does this work with AI assistants?
Yes. Rank.ai's MCP server has tools to list your competitors, open one competitor's Google, paid search and AI footprint, list content gaps and draft an article, from Claude, ChatGPT, Codex or Cursor. The MCP server is on Growth, Agency and done-for-you.
Can you guarantee AI will recommend us?
No one can guarantee what an AI will say. Rank.ai shows where you're missing, writes and publishes the articles that answer those questions, and asks again every day so you can see what moved.

See who AI names ahead of you.

Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.

  • Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
  • Who gets namedEvery competitor in the answers, most named first.
  • The pages AI readsThe sources behind each answer.
  • Three fixesWhat to fix first, with a brief for the first article.