Internal competition made visible
Three pages quietly competing for the same certification term get identified explicitly, instead of the company only sensing that something about its content isn't performing.
Available now
In build
The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenThe business stops accidentally splitting its own ranking potential across multiple pages that target the same search term, which can hold all of them back.
Works with
What it does
Khoji checks the site's own pages against its tracked keyword list to find cases where two or more pages are trying to rank for the same term. It flags these clashes and suggests which page should be the primary target so the others can be adjusted or merged.
An edtech company writing about the same certification topic across a blog post, a course landing page, and an old FAQ article has, without meaning to, built three pages competing against each other for the identical search term — and Google, faced with several similar pages from one site, often can't decide which to rank highest, holding all three back. Nobody planned this; it happened one page at a time over a year of separate writing decisions.
Keyword cannibalization detector checks the site's own pages against its tracked keyword list to find exactly this pattern — two or more pages quietly targeting the same term — and flags the clash with a suggestion for which page should become the primary target. The company gets a specific list of internal conflicts to resolve, rather than a vague sense something isn't working.
Khoji runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
Every crawled page's content and title get cross-referenced against the site's own tracked keyword list, building a map of which pages are currently competing for which specific search terms, side by side, page by page.
Where two or more pages map to the same keyword, the scan flags a cannibalization clash, naming every competing page and the shared term they're all quietly targeting without anyone having planned it that way.
Using rank history and content depth as signals, the system suggests which of the competing pages should become the primary target, so the others can be adjusted, merged, or redirected accordingly, once properly reviewed by a person.
Nothing merges or changes automatically — a flagged clash sits as a suggestion for the owner to review and confirm before any actual page consolidation or redirect happens on the live site itself, ever, without approval.
Why it matters
Three pages quietly competing for the same certification term get identified explicitly, instead of the company only sensing that something about its content isn't performing.
Each flagged clash names the exact competing pages and the shared term, giving a concrete starting point for a merge or redirect decision rather than a general content audit.
Every suggestion waits for the owner's confirmation before any page gets changed, which matters because merging the wrong pages can do more damage than the original clash.
The detail
Detecting genuine cannibalization is harder than it looks, because two pages legitimately targeting a broad term isn't automatically a problem worth fixing. A page about "certification exam pattern" and one about "certification exam fees" might both reasonably use "certification" prominently without actually competing for the same searcher intent, and treating every overlap as a clash would flag far more than needs attention. This is why the output is framed as a suggestion requiring judgment, not an automatic finding.
The suggested primary page is based on available signals — which page currently ranks better, which has more content depth — but those signals don't always point to the right decision. A page that ranks slightly higher might not be the one the business wants as the long-term face of that topic, if a newer page better reflects pricing the older one hasn't matched. The detector can tell a business where its pages are competing; it cannot tell it which page should win, since that depends on context it cannot see.
This capability reuses crawl data and rank-history data already gathered for the technical audit and rank tracker, rather than requiring any new third-party source — one reason it can run without adding to the licensed-data costs the other capabilities carry. Its accuracy is bounded by the freshness of that data: a map built from a crawl several weeks old can miss a page added more recently, and won't catch a clash involving it until the next crawl runs.
Industry use cases
8 industries where Khoji applies this directly.
A software reseller wants to be found for a specific procurement-related search phrase used by IT managers; Khoji surfaces that phrase through keyword expansion, shows a competitor already ranking for it, and generates a content brief so the team can build a page to compete.
See the b2b sales playbookA financial advisory firm wants to know if their fee-explainer page is losing ground; Khoji's rank tracker shows a drop, and the technical audit flags a missing HTTPS redirect on one page that could be undermining trust signals search engines weigh for financial content.
See the banking and finance playbookAn online course provider wants more visibility for a specific certification-related search; Khoji's keyword tool surfaces related question-based searches, and the content brief generator outlines an FAQ-style page structure to answer them.
See the education playbookA nutrition clinic wants their new blog post on a diet topic to rank; Khoji's content editor flags that top-ranking competitor pages all cite credentialed sources, prompting the clinic to add author credentials and references before publishing.
See the health and wellness playbookA furniture store wants to catch searches like "small space sofa ideas" ahead of a festive season; Khoji's keyword finder surfaces the seasonal spike pattern, and the internal linking tool suggests connecting that new page to existing product category pages.
See the home decor and furnishing playbookAn agency managing five client websites wants a monthly update for each without manual compilation; Khoji's report generator pulls each client's rank changes, backlink gains, and resolved audit issues into a scheduled report sent automatically.
See the marketing agencies playbookA real estate agency wants to be found for "3 BHK flats in [neighborhood]" searches; Khoji tracks that local-pack and organic position, and the NAP consistency checker finds an old office address still listed on a property portal that needs correcting.
See the real estate playbookA tour operator wants to catch demand for a specific monsoon-season trekking destination before the season starts; Khoji's keyword tool identifies the seasonal search pattern early, and the content brief generator outlines a destination guide page to target it in time.
See the travel and tourism playbookMore from Khoji
The business gets a prioritized list of search terms its real customers use, so content and page-optimization effort goes toward searches that can realistically bring in traffic.
Learn moreThe business sees exactly which topics or pages let a specific competitor outrank them, turning a vague "we should do more SEO" into a concrete list of pages to build.
Learn moreThe business owner can see, at a glance, whether their site is moving up or down for the search terms that matter to them, without manually searching Google every day.
Learn moreThe business gets visibility into which other websites link to them (and to competitors), which is one of the strongest signals search engines use to judge trustworthiness.
Learn moreThe business gets a plain-language checklist of technical problems (broken links, slow pages, missing tags, duplicate content) that are actively holding the site back in search, ranked by how much impact fixing each one has.
Learn moreThe business owner gets a readable summary of what Google itself says about their site's search performance, without needing to interpret Search Console's raw reports.
Learn moreQuestions
No — two pages can legitimately both use the same broad term without genuinely competing for the same search intent, and treating every overlap as a clash would flag far more than actually needs attention. This is exactly why every finding here is presented as a suggestion for the owner to review, not an automatic flag to act on without checking whether the two pages are really fighting for the same searcher in practice.
Not without reviewing it first. The suggested primary is based on available signals like current rank and content depth, but those signals don't always match the page a business actually wants representing that topic long-term — a newer page might better reflect current pricing or messaging even if it ranks slightly lower today. Nothing merges automatically here; the suggestion is a starting point for a human decision, not the decision itself.
No — it reuses the crawl data and rank-history data already collected for the technical site audit and rank tracker, so it doesn't require a new third-party data source of its own. That also means its results are only as fresh as those underlying data sets; a page added since the last crawl won't show up in a cannibalization check until the next crawl processes it.
After adjusting, merging, or redirecting the competing pages, the next rank-tracking and crawl cycle will reflect the changed structure, so watching that keyword's tracked position and confirming only the intended page still targets it is the practical way to check. A merge done carelessly can occasionally create a different problem, like a redirect chain, which the technical audit would then separately flag on its own next run.
The rest of your stack
No rip-and-replace — stop pages from competing with each other works alongside the systems already running your business.
Coming soon