Content Gap Analysis and the Searches Your Competitors Own

Updated: 4 days ago

Key takeaways
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Somewhere right now, a competitor is ranking for a search you should own. A buyer types a question you could answer better than anyone, finds their article instead of yours and walks away believing they're the expert. Multiply that by a few hundred searches and you start to see why some companies seem to be everywhere in a category while others with better products barely appear.
A content gap analysis makes those missed opportunities visible. At its simplest, it compares what you've published and where you rank with what your competitors have published and where they rank, and shows you the difference.
The idea is simple. The execution is where most teams go wrong, because the export from any keyword tool is enormous, and almost all of it is noise. The real skill is knowing what to ignore.
What is content gap analysis?
Content gap analysis is the process of comparing your content with your competitors' content and with what your buyers search for, to find topics, keywords and questions where competitors are visible and you aren't. It typically uses search visibility platforms like Semrush or Ahrefs to find keyword gaps, then prioritizes them by relevance, difficulty and business value. These content gap analysis tools compare the options. |
How do content gaps and keyword gaps differ, and does it matter?
You'll see this exercise called several things. Keyword gap analysis usually means comparing the specific search terms you and your competitors rank for. Content gap analysis is broader, looking at topics, formats and stages of the buying journey as well as keywords. Some people also talk about SEO gap analysis, which brings in technical issues.
In practice, they're all the same core idea. Find where demand exists and competitors are meeting it while you aren't. I'd start with keywords, because the data is concrete, and then step back to look at topics and formats, because that's where the strategic patterns show up.
Why is it worth doing?
The most obvious benefit is that a gap analysis lets competitors do some of your research for you. If a competitor ranks for a search with real volume, the demand has already been validated. The question stops being whether there's demand and becomes whether the opportunity is worth your time, which is exactly what competitive content analysis answers.
The less obvious benefit is competitive intelligence. Run a gap analysis every quarter and you start to see where competitors are investing. If a rival suddenly starts publishing heavily around compliance and security after years of writing about onboarding, that tells you something about where they're trying to move in the market, often months before it shows up anywhere else. Gap analysis is one of the cheapest early warning systems in B2B marketing.
And it keeps your strategy honest. Teams naturally drift toward topics they find interesting or that support recent launches. A gap analysis forces you to look outward, at what buyers actually search for, rather than what you'd like them to care about.
How do you run one without drowning?
Start by choosing the right competitors, which is where many gap analyses go wrong before they begin. Include the three to five companies you actually compete with for deals, plus the sites that compete with you for search visibility, including publications or analysts that don't sell anything. Competitive content analysis covers how to pick them.
Comparing yourself with giant platforms that are only loosely related to your business produces a gap list full of things you shouldn't write about.
Then pull the gaps. In Semrush's keyword gap tool, you can compare your domain with up to four competitors and find terms where you're missing or underperforming. In Ahrefs, the Content Gap tool does the same. Either way, you'll usually get hundreds or thousands of rows. That's normal, and it's not the list you'll work from.
Now filter, hard. The first filter is relevance, and it removes most of the list. Ask whether each search matches your product, your buyers and your positioning. A competitor ranking for an enterprise procurement template doesn't mean a mid-market tool should write one.
The second filter is volume, with a sensible floor based on your size. For an early-stage site, something like 40 searches a month is a reasonable minimum, and a larger site can set the bar higher.
The third filter is difficulty. Newer domains should usually favor searches they can realistically win in months rather than years. And the fourth is saturation. If every competitor ranks for something, it's crowded. The sweet spot is often a search that two or three competitors cover, which proves demand without the full pile-up.
How do you prioritize what's left?
After filtering, most teams are left with 20 to 40 genuine opportunities. The temptation is to sort them by search volume and start at the top. I'd resist that, because volume alone is a poor guide in B2B, where high value, low volume keywords often win more deals.
The way I prioritize is roughly volume multiplied by relevance, divided by difficulty. A search with 150 monthly searches, very high relevance to your product and moderate difficulty will often beat one with 800 searches, middling relevance and high difficulty. The first is a fast win in your core market. The second is a distraction in an adjacent one. High-value, low-volume keywords makes the longer case for that thinking.
Then ask one more question for each opportunity. Can we genuinely do this better? If a competitor ranks with a thin listicle and you have proprietary data or real experience, that gap just became a priority. If they rank with an excellent, comprehensive resource and yours would be weaker, it probably isn't worth the effort right now. Pick the top 10 or so, build a few strong pillar pages around the best of them, and leave the rest for the next quarter. How many keywords per page covers how to group them sensibly.
Why check the results page before you write?
For every priority search, look at what's actually ranking before you plan anything. If the top results are comparison guides and you were planning a product page, you've found an intent mismatch, and the page won't rank however good it is. Reading the SERP first saves you from writing the wrong format.
Look beyond the links too. Is there an AI Overview at the top? A featured snippet? A wall of videos or forum threads? These features shape whether a click is even available. A search with healthy volume but an AI Overview that fully answers the question may be better treated as a citation opportunity than a traffic one. What is a SERP covers how to read the page, and what is zero-click search explains why it matters.
What gap do most teams miss?
Traditional gap analysis only looks at search engines. In 2026 there's a second place your buyers look. When a buyer asks ChatGPT or Perplexity which vendors to consider in your category, which brands get named? If competitors appear and you don't, that gap may matter more than any keyword, and it's what share of voice in AI search measures.
Running this version is straightforward. Write the questions your buyers actually ask an AI assistant, the process described in AI search prompts. Run them several times across several assistants and note which brands appear and which sources get cited. The questions where competitors are named and you aren't are your AI gaps. The cited sources tell you where to focus, whether that's your own content, review sites, comparison articles or community discussions. Over time, this becomes your share of model.
How do you close gaps and measure progress?
Closing a gap means publishing something good enough to deserve the position, not just something that mentions the keyword. Study the top results, understand why they rank and find the angle, depth or experience you can add that they don't have. Thin content rarely closes a gap against an established competitor. Information gain does.
Give new content a realistic window, often around 90 days, before judging it, and track rankings, traffic, AI citations and, most importantly, whether the new pages contribute to pipeline. Then rerun the analysis next quarter. Gap analysis works best as a habit rather than a project, because the gaps keep moving. Competitive content analysis and the content audit checklist pair well with it.
Where does content gap analysis fit in the Engine Optimization Matrix™?
Gap analysis feeds the Content column of the Engine Optimization Matrix™ in every row. Keyword gaps shape the SEO row, question gaps shape the AEO row, and AI answer gaps shape the GEO and LLMO rows. Running all three is how you see the whole picture.
For related reading, see what is search engine optimization, what is information gain and brand mentions in AI answers.
Most teams still run SEO like it's 2019 and wonder why the traffic chart and the pipeline chart stopped agreeing. The Demand Doctrine™ for AI SEO covers what still works, what's dead and what to do Monday morning. Out November 18. Want all four engines? Mastering AI Visibility.
Frequently asked questions
What is content gap analysis?
It's the process of finding topics, keywords and questions where competitors have content and visibility and you don't, so you can decide what to create or improve.
What is the difference between content gap and keyword gap analysis?
Keyword gap analysis compares the specific search terms you and competitors rank for. Content gap analysis is broader and includes topics, formats and buying stages.
Which tools can I use for content gap analysis?
Semrush's keyword gap tool is a strong starting point for identifying competitor keyword opportunities, comparing domains, and finding topics where your site falls behind. Ahrefs' Content Gap tool offers a similar comparison, while Google Search Console helps with your own data.
How many competitors should I compare against?
Three to five, including the companies you compete with for deals and the sites that compete with you for search visibility.
How do I filter a keyword gap list?
Filter by relevance to your buyers first, then by a sensible minimum volume, realistic difficulty and how saturated the search is.
How should I prioritize content gaps?
Weigh volume, relevance and difficulty together rather than sorting by volume, and favor gaps where you can genuinely do better than what ranks.
What is an AI content gap?
It's a buyer question where AI assistants name competitors but not you. Find them by running your buyers' questions through several assistants.
How often should I run a content gap analysis?
Quarterly works well for most B2B teams, because competitor content and search results keep changing.
About the author. Harold Bell is the founder of MQL Magnet and has spent about 16 years in enterprise technology marketing, working with brands like Cisco, Rubrik and Nutanix in different capacities. He's a member of the Forbes Communications Council, the creator of the Engine Optimization Matrix™ and the author of Partner Over Product. |



