Competitive Landscape Research: What Most Teams Get Wrong

Competitive landscape research is the process of systematically mapping who your competitors are, how they position themselves, where they invest, and what gaps they leave open. Done well, it gives you a factual basis for strategy. Done badly, it gives you a slide deck that nobody acts on.

Most teams do it badly. Not because they lack the tools, but because they frame the exercise wrong from the start.

Why Most Competitive Research Produces Nothing Useful

I have sat in a lot of strategy kick-offs where someone presents a competitive landscape slide. It usually looks thorough. There is a grid with five or six competitors listed across the top, a set of attributes down the left side, and a series of ticks and crosses filling the cells. Everyone nods. The slide gets filed. Three months later, nobody can tell you what changed as a result of it.

The problem is not the research. It is the question being answered. Most competitive landscape exercises are set up to answer “what are our competitors doing?” That is a descriptive question. It produces a description. What you need is an analytical question: “what does this mean for where we should play and how we should win?” Those are different exercises entirely, and conflating them is how you end up with impressive-looking work that drives zero commercial decisions.

When I was running an agency and we were pitching for new business, I used to do competitive research on the incumbent agency before every pitch. Not to copy them, but to find the cracks. Where were they overcomplicating things? Where had the client probably outgrown them? What were they almost certainly not saying in their reporting? That framing, starting with a specific commercial question, made the research useful immediately.

If you want to go deeper on how competitive research fits into a broader market intelligence practice, the Market Research and Competitive Intel hub covers the full picture, from audience research through to trend analysis and competitor monitoring.

How Do You Define the Competitive Landscape Correctly?

The first mistake most teams make is defining competitors too narrowly. They list direct product competitors and stop there. That misses two categories that are often more strategically significant.

The first is indirect competitors: businesses that solve the same customer problem with a different mechanism. If you sell project management software, your indirect competitors include spreadsheets, email threads, and the decision to hire a coordinator instead of buying a tool. Those alternatives are competing for the same budget and the same mental space, even if they never appear in a category report.

The second is perceptual competitors: businesses that your target customer mentally associates with your category, even if they are not technically competing. This matters most in brand and positioning work. If your customer thinks of a particular brand when they think of your category, that brand shapes expectations whether or not it is a direct rival.

A useful competitive landscape maps all three layers. Direct, indirect, and perceptual. The weighting you give each depends on what decision you are trying to make. If you are working on pricing strategy, direct competitors matter most. If you are working on brand positioning, perceptual competitors often matter more.

What Are the Most Reliable Sources of Competitive Intelligence?

There is no shortage of data sources for competitive research. The discipline is knowing which ones are actually telling you something versus which ones are creating the impression of insight without the substance.

Search data is one of the most underused and most honest signals available. When a competitor is investing heavily in paid search for a particular set of terms, they are telling you something real: that those terms convert, or that they believe they do. Organic rankings tell you where they have invested content and authority over time. Tools like Ahrefs let you see a competitor’s keyword footprint, their top-performing pages, and where their traffic is actually coming from. That is not speculation. That is evidence of strategic priority.

I used this approach at lastminute.com when we were building out paid search campaigns. Understanding what terms competitors were bidding on, and crucially, what they were not bidding on, shaped where we focused spend. The gaps in a competitor’s paid search strategy are often where the best margin lives. Everyone is fighting for the obvious terms. The adjacent terms with real commercial intent and lower competition are where you can build an advantage quickly.

Beyond search, the most useful sources tend to be:

• Job postings. What a company is hiring for tells you where it is investing. A competitor suddenly posting ten engineering roles focused on a specific product area is a signal worth noting.
• Pricing pages and product documentation. Public-facing commercial information is often overlooked because it feels too obvious. It should be the first thing you read.
• Customer reviews on third-party platforms. Review sites are a direct feed of what customers value and what they find frustrating. Competitor reviews are a map of their weaknesses, written by their own customers.
• Earned media and PR coverage. What stories is a competitor pushing? What narrative are they trying to own? That tells you about positioning intent, not just current position.
• Social and content output. Frequency, format, and topic focus all signal where a competitor believes attention is worth buying. Resources like the Content Marketing Institute track shifts in how brands are using content, which can add useful context to what you observe in individual competitor behaviour.

What I would caution against is treating any single source as definitive. A competitor’s website tells you how they want to be perceived. Their customer reviews tell you how they are actually experienced. Both are useful. Neither is the full picture.

How Do You Turn Competitive Data Into Strategic Conclusions?

This is where most competitive research stalls. You have the data. Now what?

The analytical move that separates useful competitive research from expensive filing is pattern recognition across dimensions. You are not looking at each data point in isolation. You are looking for what the combination of signals tells you about where a competitor is strong, where they are vulnerable, and where the market as a whole is underserved.

A framework I have used across multiple agency engagements is to map competitors on two axes that are specific to the strategic question at hand. Not generic axes like “quality vs. price” that produce the same uninformative chart every time, but axes that reflect the actual trade-offs customers in that market are making. For a B2B software client, the relevant axes might be “implementation complexity vs. feature depth.” For a consumer brand, they might be “premium positioning vs. accessibility.” The point is that the axes should emerge from customer research, not from convention.

When you plot competitors on axes that reflect real customer trade-offs, the gaps become visible. And gaps are where strategy lives. Not the crowded centre of the map where everyone is clustered, but the spaces that are either underserved or that competitors have consciously vacated.

One thing I learned from judging the Effie Awards is that the campaigns that win are rarely the ones that out-executed in a crowded space. They are the ones that found a position the category had left open and owned it with conviction. That starts with competitive research that is honest about where the map is already full.

What Does Good Competitive Positioning Analysis Look Like?

Positioning analysis is a specific subset of competitive landscape research, and it deserves its own treatment because it is so frequently done superficially.

Most positioning analysis reads competitor taglines, looks at their homepage copy, and draws conclusions from there. That is a starting point, not an analysis. Positioning is what a brand actually occupies in the mind of its customer, not what it claims to occupy in its own marketing. Those two things are often different, and the gap between them is commercially significant.

To understand actual positioning rather than claimed positioning, you need customer data. That means talking to customers, reading reviews, and looking at the language people use when they describe a competitor unprompted. The words customers use to describe a brand are far more revealing than the words the brand uses to describe itself.

I worked with a client once who was convinced their main competitor owned the “premium quality” position in their category. When we looked at customer reviews and ran some qualitative interviews, it turned out the competitor was actually perceived as “reliable but expensive.” Premium quality and reliable but expensive are not the same thing. One is aspirational. The other is a grudging acknowledgement with a sting in the tail. That distinction opened up a genuine positioning opportunity that the client had not seen because they had been reading their competitor’s marketing rather than their competitor’s customers.

How Often Should You Refresh Competitive Landscape Research?

There is a tendency to treat competitive landscape research as an annual exercise, usually tied to the planning cycle. That cadence made more sense when markets moved more slowly. It makes less sense now.

The more useful approach is to distinguish between deep-dive research and ongoing monitoring. A full competitive landscape analysis, done properly, is a significant piece of work. You do not need to repeat it every quarter. But you do need a lightweight monitoring process that flags material changes between those deep dives.

Material changes worth tracking on an ongoing basis include: significant shifts in competitor ad spend or keyword strategy, new product launches or pricing changes, leadership changes at key competitors (which often precede strategic pivots), and major earned media moments that signal a shift in narrative. Most of these can be monitored with a combination of search tools, Google Alerts, and a disciplined habit of reading what your competitors are actually publishing.

The failure mode I have seen most often is teams that do a thorough competitive analysis at the start of a strategy cycle and then treat it as fixed truth for the next twelve months. Markets do not hold still. Orkut was once a dominant social network in several markets before it was effectively erased by faster-moving competitors, as Search Engine Journal documented. The lesson is not that competitive positions are always fragile, but that assuming stability is a choice with consequences.

What Are the Common Mistakes in Competitive Landscape Research?

Having reviewed competitive analyses across dozens of client engagements and seen the outputs of agency teams at various stages of maturity, the failure patterns are consistent.

Confusing activity with strategy. A competitor posting frequently on LinkedIn is not evidence of a content strategy. It might just be someone on their team who likes writing. Do not infer strategic intent from tactical activity without corroborating signals. Resources like Buffer’s research on LinkedIn behaviour can help you understand what platform activity typically signals versus what it does not.

Anchoring on the biggest competitor. The market leader sets the benchmark for what is possible, but it is rarely the most instructive competitor to study. The most instructive competitors are usually the ones growing fastest from a smaller base, because their choices reflect what is working now, not what worked five years ago when the market leader built its position.

Treating the competitive landscape as static. A map drawn today is already slightly out of date. Build in a process for updating it, not just a document for filing it.

Ignoring the customer’s perspective entirely. Competitive research conducted purely from a marketer’s perspective produces a marketer’s view of competition. The customer’s view is different, and it is the one that matters commercially. This connects to a broader point about audience research: understanding how customers actually perceive your category is foundational to everything else. If your competitive research is not grounded in customer language and customer priorities, it is analysis in a vacuum.

Not connecting findings to decisions. This is the most common failure and the one with the most direct commercial cost. Competitive research that does not end with a clear set of implications for strategy, positioning, or investment priority has not done its job. The deliverable is not the slide. The deliverable is the decision it enables.

If you want to build a more systematic approach to market intelligence across your organisation, the Market Research and Competitive Intel hub is worth bookmarking. It covers the full range of research methods that feed into strategic planning, from primary audience research through to competitive monitoring and trend analysis.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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