Based on what buyers actually ask
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Keyword cannibalization
Catch keyword cannibalization before it costs you rankings
When two of your pages chase the same query, search engines have to pick one, and often pick neither well. WriteWorks reads your Search Console data, flags every query where more than one of your pages competes, and ranks each case by how much search demand is at stake.
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Claude and MCP clients The challenge
Why cannibalization goes unfixed
Hard to see, tedious to check, unclear to resolve.
Cannibalization is invisible page by page
Each page looks fine in isolation. The problem only shows up when you line every page up against the queries they win, which most teams never do.
Checking means exports and spreadsheets
Finding pages that share a top query means exporting Search Console data and pivoting it by query and URL. It is tedious enough that it rarely gets done.
Knowing is not the same as fixing
Even when the overlap is found, someone still has to decide which page should own the query and what the other one should become.
Fixes go unverified
Content ships and the task closes, but nobody re-checks whether the answer itself actually changed.
The solution
How cannibalization detection works
Group by query, score by stake, brief with evidence.
WriteWorks groups your pages by the top query each one earns impressions for. Where two or more of your pages share a top query, a cannibalising row appears in the opportunity queue, naming the query and how many pages compete for it.
Each case is scored on reach (impressions), severity (how many pages compete) and ease of the fix, so the overlaps on your highest-demand queries come first.
Generate a brief and it lists every query the page earns impressions for, split by whether the page already mentions it and whether it sits in the top 3, so the decision about which page owns what is made on evidence.
Customer story
How teams are winning AI search
From invisibility to category dominance across every major answer engine.
“WriteWorks showed us exactly which competitors AI was recommending instead of us, and the sentiment behind every mention. We closed the gap across every major engine.”
RN
Capabilities
Keyword cannibalization capabilities
Everything needed to find and resolve overlapping pages.
Cannibalising signal
Two or more of your pages competing for the same query.
Competing page count
How many of your URLs share the query, shown on the row.
Search metrics on every row
Keywords, intent, position, clicks, impressions and CTR.
Priority scoring
Reach, severity and ease combined into one ranked queue.
Query-level brief evidence
Every query the page ranks for, split by coverage and top-3 position.
One-click into the editor
Open the page and work the fix with the brief alongside.
Time savings
What changes when the check runs itself
From occasional exports to a daily signal.
TaskBeforeWith WriteWorksTime saved
Check for keyword cannibalizationExport, pivot, eyeballFlagged automatically in the queueHours per check
Decide which page owns the queryOpinion in a meetingQuery-level evidence in the briefThe debate
Keep checking after the fixRemember to re-run the exportDaily refresh catches new overlapsOngoing
Included
What's included
Every cannibalization capability.
Cannibalising signal from Google Search Console
Competing page count and shared query on every row
Priority scored on reach, severity and ease
Briefs listing every query the page ranks for
Works alongside losing rank, losing clicks and CTR gap signals
One-click handoff into the content editor
Built for
Built for teams with growing sites
SEO teams, content managers and agencies.
SEO teams
A cannibalization check that runs every day without a spreadsheet.
Content managers
Know when a new article competes with an old one before it costs rankings.
Agencies
Spot overlaps across client sites with the Search Console evidence attached.
Featured story
GoTeachingJobs
“We retired three legacy tools and rebuilt our launch motion around WriteWorks. We can finally see our share of voice on the engines our buyers ask, and prove the lift on every run.”
Read the full story10+
AI platforms measured
Share of voice
Tracked vs competitors
Proven
Lift on every run
FAQ
Frequently asked questions
Everything teams typically ask before getting started.
What is keyword cannibalization?+
Keyword cannibalization happens when two or more pages on the same site target, and rank for, the same query. Search engines split signals between them, so neither ranks as well as one consolidated page would.
How do you find keyword cannibalization?+
Compare the queries each page earns impressions for and look for overlap. WriteWorks does this automatically from your Search Console data: if two or more of your pages share the same top query, it flags them as cannibalising.
How do you fix keyword cannibalization?+
Usually by choosing one page to own the query and either consolidating the other into it, redirecting it, or refocusing it on a different query. The WriteWorks brief lists every query each page ranks for, which makes that choice clearer.
Is keyword cannibalization always bad?+
Not always. Two pages can rank well for one query if they serve genuinely different intents. That is why WriteWorks shows the intent and search metrics on each row, so you can dismiss cases that are fine.
Do I need Search Console connected?+
Yes. The cannibalising signal comes from Google Search Console query and page data. Connect it from the integrations hub and the signal starts appearing in the opportunity queue.
Explore more
Keep exploring
Related solutions, adjacent use cases, and platform features.
Stop your own pages competing with each other
Connect Search Console and WriteWorks flags every query where more than one of your pages competes, ranked by what is at stake.