Find Pages Competing for the Same Keywords
Investigate keyword cannibalization in LLMIC using Search Console evidence. Compare page intent before deciding to differentiate or consolidate.
Two pages ranking for one keyword are a reason to investigate, not a reason to delete one. A useful keyword cannibalization audit asks whether those pages serve the same searcher and whether their overlap is hurting your intended landing page. LLMIC helps you assemble the evidence for that decision.
What this guide helps you do
Keyword cannibalization can occur when several pages compete for the same search intent. LLMIC combines query and landing-page evidence so you can distinguish useful overlap from pages that may need consolidation or clearer targeting.
Build availability: This guide describes the updated workflow checked against the September 2026 development build. Some controls may not yet be included in the public installer. Check the release notes and your app version before following those steps.
The workflow at a glance
- Set the search scope
Choose property, period and device. - Find shared queries
Inspect the actual overlapping pages. - Compare their purpose
Decide whether both pages are useful. - Choose a reviewed action
Differentiate, consolidate or leave unchanged.
Workflow illustration. These steps explain the process; they are not measured performance results.
Use Search Console evidence
Open Cannibalization under Content. This workflow needs the Search Console connection and a plan that includes Google integrations. Select the property, dates and device before running the audit. Save that scope with your report so another person can reproduce the same comparison rather than comparing unrelated periods.
Inspect both URLs
Open an overlapping pair and read its shared keywords. Compare the pages themselves, their intended audience and the landing page you wanted to rank. A product page and a troubleshooting article can legitimately appear for a broad query while solving different problems. Shared vocabulary alone does not prove harmful competition.
Look for a clear editorial problem
An illustrative concern is two near-identical service pages answering the same question with conflicting details. Review clicks, impressions and average position for the chosen period alongside the content. These observations can reveal patterns worth investigating, but they do not prove that one page caused another page’s performance to decline.
Choose the smallest justified change
If both pages are useful, clarify their different purpose, titles and internal links. If they genuinely duplicate one another, prepare a consolidation plan with a reviewed destination and redirect requirements. Preserve useful sections and existing user journeys. Do not automatically noindex or redirect a URL merely because a tool groups it with another.
Check what happened after publication
Record the change date and recheck the affected URLs. Confirm redirects or revised content with fresh crawl evidence, then review a comparable Search Console period after enough data is available. Keep technical verification separate from traffic analysis. A successful redirect does not by itself demonstrate improved search performance.
Quick reference
| What you see | What to do next |
|---|---|
| Different user needs | Keep both pages and clarify their distinct purpose. |
| Near-identical intent and content | Review consolidation with a specific destination. |
| Missing page evidence | Inspect or crawl both URLs before deciding. |
| Performance changes after an edit | Compare matched periods; do not assume causation. |
Your next step
Continue with inspect keyword clusters, check intended target pages, verify the implementation. Return to the documentation home for the full workflow. Before sharing an export, check its website, dates and filters, and remove private information. If a control is missing or a result looks wrong, contact support with your app version and a sanitized example.
Frequently asked questions
Investigate keyword cannibalization in LLMIC using Search Console evidence. Compare page intent before deciding to differentiate or consolidate.
Load a completed crawl that includes the pages you need to inspect. Confirm the crawl scope, capture time, rendering choice, and any filters before interpreting the result.
Review the affected URL, measured field, source or rendered evidence, and the rule that raised the item. Inspect nearby pages and templates because one shared component can create the same pattern across many URLs.
Create a task with the affected URL, observed evidence, intended outcome, smallest safe change, owner, and verification method. Keep the measured finding separate from the proposed fix.
Publish the approved change, run a fresh compatible crawl, and compare the new evidence with the saved result. A resolved local finding confirms the implementation changed; search performance requires separate observation over time.
The check cannot guarantee rankings, indexing, traffic, conversions, inclusion in an AI answer, or a future search-engine action. Interpret it with site context, search performance, and editorial judgment.
Save or export the evidence, assign the approved action, and use the related guides linked on the page for the next check. After implementation, repeat the same workflow against a fresh crawl so the result is comparable.