Many B2B and B2C SaaS companies are already using topic clusters to deliver better content, but not all are doing it right.
The most common mistakes companies make when creating topic clusters
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Topic clusters dominated by competitors can be problematic because you may end up chasing keywords that are not relevant to your business.
Imagine looking at a competitor like HubSpot. Imitating popular topics without analysis can result in:
Post “100 Most Famous Quotes of All Time” or “What is Your Greatest Weakness” on your website.
Following a Competitor-Led Strategy
The 100 Most Famous Quotes of All Time – traffic
These topics may drive a lot of traffic, but they are unlikely to phone number list lead to actual sales.
#2 Content Cannibalization
Content Cannibalization
If your website has too many pages covering the same content, this can lead to a problem called “ keyword cannibalization .”
Keyword or content cannibalization means pages competing with each other for the same keywords, which can reduce organic traffic.
Check SERPs to make sure your keywords are not related to the intent of other keywords.
You can automate this process using a keyword clustering tool like Keyword Insights . After conducting keyword research, upload the resulting CSV file to Keyword Insights, which groups together all keywords that match with similar intent.
Relying Too Much on keyword research
The keyword with the highest search volume becomes Phone Number List your primary keyword, and the rest become secondary keywords.
Chima Mmeje – quote
If you only use keyword research tools, you may be ignoring the needs of your potential customers.
For example, there’s an HR technology company that creates a cluster just because ‘cloud computing’ has high search volume in a keyword research tool, even though it doesn’t match their brand or offer unique value to their audience.
SEO tools can categorize keywords as informational or transactional. This tool can’t provide any insight into what searchers are struggling with.
It also doesn’t tell you which features of the product might solve your problem.
Rather than just ranking for random keywords, you should consider your product’s use cases and your customers’ needs.
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