How to Fix Keyword Cannibalisation with Free AI Tools

When two or more pages on your site chase the same keyword, Google splits the clicks, links, and trust between them- a problem called keyword cannibalisation. Case studies (including Backlinko’s famous 466 % click-lift after one redirect) prove that simply merging or redirecting the weaker page can boost traffic by double digits. With one CSV from Google Search Console and any free AI chat tool, you can find, fix, and track cannibalisation in under an hour.

Keyword cannibalisation in plain English

When several pages target the same search term, they “fight” each other, so none ranks as high as it could.
Google treats a single, well-focused page as more helpful than several half-competing ones.

Free AI tools you can use

Tool Why it’s useful Cost
ChatGPT Free Accepts pasted tables or small file uploads and can run the full prompt (GPT-4o). openai.com $0
Microsoft Copilot (web/Edge/Windows) Lets you upload CSVs or paste data for analysis. support.microsoft.comsupport.microsoft.com $0
Perplexity AI – Free tier Supports up to three basic file uploads a day; gives web-sourced answers you can cite. perplexity.aiperplexity.ai $0

Gather your data (Step 0)

  1. Open Google Search Console. Select your site and click Performance → Search Results.

  2. Choose a useful date range (e.g., “Last 3 months”) so you have enough data to spot patterns.

  3. Click the Export button (top-right) and pick CSV.

  4. You’ll get a zipped file—open the Pages tab and keep these columns: URL, Clicks, Impressions, Position. Add extra columns (Backlinks, Conversions) if you track them elsewhere. The more context, the smarter the AI’s suggestions will be.

  5. Save your final sheet as cannibalisation_audit.csv. (or any name you want)

(Tip: If your site is brand-new and has little data, start with a smaller time range, like “Last 28 days”, to avoid empty rows.)

Run the audit – copy/paste prompt

Paste the block below into ChatGPT, Copilot, or Perplexity and upload your CSV when the chat asks for it.

sql

Step 0 – I’ve uploaded a CSV with: URL, main keyword, clicks, impressions, backlinks, avg position, conversions.

1. Group similar pages – place pages with the same (or very close) keyword into one group.
2. Spot clashes – for any group with 2 + pages, output a table:
Page A | Page B | % of clicks | % of backlinks | Action (keep / merge / 301 redirect)
3. Find underlinked pages – list pages getting <10 % of their group’s internal links and suggest stronger pages that should link to them.
4. Set a Cleanup Score – higher = fewer clicks, fewer conversions, fewer links, older content.
5. Action Plan – three quick fixes (<2 hrs each) and three bigger fixes (>2 hrs), sorted by the Cleanup Score.

Return everything as a **markdown table**.

What happens next (and why)

Prompt step What the AI will show you Why it matters to you
Group similar pages A short list of keyword “families”. Lets you see overlap at a glance.
Spot clashes Clear “Page A vs Page B” rows with a suggested action. Decides whether to keep, merge, or redirect pages.
Under-linked pages A list of pages starving for internal links. Easy win: adding links often boosts rankings fastest.
Cleanup Score A single 1-to-10 score per page. Helps non-SEOs choose priorities quickly.
Action Plan Six fixes, already sorted by impact/effort. Drop straight into Trello, Asana, or a sprint board.

Next steps & best practices

  1. Implement the quick fixes first – they often deliver wins in days, not weeks.

  2. Schedule a follow-up export in 30 days and rerun the same prompt to see improvements.

  3. Repeat every quarter – new content can create fresh overlaps, and regular audits keep your site clean :).

By following these clear steps – and leaning on free AI chat tools – you’ll fix keyword cannibalisation without needing an SEO degree or expensive software. Enjoy the traffic bump!

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