A competitive analysis is a comparison of the businesses and other alternatives competing for your customers. You look at their offers, positioning, strengths, and weaknesses so you can make better decisions about how to differentiate your own business. That's the whole idea, and most of what people call "complicated" about competitive analysis is really just people skipping this starting point and jumping straight to a spreadsheet.
If you're a marketing lead trying to figure out what to write next, or trying to explain why your offer deserves a customer's attention, competitive analysis is one of the tools that helps you answer those questions with more than a guess. This guide covers what it actually is, who counts as a competitor, why marketing teams bother running one, when it's worth revisiting, and just as important, what it can't tell you. It won't walk you through the step by step process of building one. That's a separate piece, because the process deserves its own space and this one is about getting the concept straight first.
What is a competitive analysis?
A competitive analysis, or competitor analysis (the two terms mean close enough to the same thing that you can use them interchangeably here), is a structured look at who else is competing for your customers and how they present themselves. You're not just making a list of companies that look similar to yours. You're trying to understand the choices a buyer actually has in front of them.
The U.S. Small Business Administration frames it as learning from businesses that are competing for your potential customers, and thinking about that competition by product or service and by market segment. That framing is a useful competitor analysis definition to hold onto, because it puts the buyer's decision at the center, not your own assumptions about who your rivals are.
Here's why that distinction changes how you approach the work. It's easy to think competitive analysis means finding companies that sell what you sell. But a buyer doesn't experience the market that way. They experience a problem and a set of options for solving it, and some of those options don't look anything alike on the surface. Keeping the buyer's actual choice in view, rather than a mental list of "companies like us," is what keeps a competitive analysis useful instead of just a survey of your industry.
Which alternatives count as competitors?
Not every business that seems similar to yours is a competitor worth studying, and some businesses that look nothing like yours are. There are a few categories worth knowing.
Direct competitors offer a similar product or service to substantially the same customer, for the same job. If someone is choosing between you and them for the exact same purchase, that's a direct competitor. These are usually the most obvious alternatives, and they're where most people start.
Indirect competitors, or substitutes, solve the same customer problem in a different way, or compete for the same purchase occasion without resembling your product at all. A popcorn seller at a movie theater competes with the soft drink stand and the ice cream vendor too, because they're all competing for the same few dollars a moviegoer is willing to spend on a snack. None of them sell what the others sell. They still compete. That example is meant to illustrate how a buyer thinks about choices, not to suggest every popcorn buyer is actively weighing it against a milkshake.
Potential entrants aren't competing for your customers yet, but an adjacent business or a new kind of offering could become relevant as the market shifts. Worth keeping on your radar, not worth treating as an established rival before it actually shows up.
The way your buyer currently solves the problem without buying anything also belongs on this list. If you sell software that automates a task, the alternative isn't only other software companies. It's also a person doing that task manually, or a spreadsheet someone built themselves. That "do it the old way" option is a real competitor for attention and budget, even though nobody would call it a company.
Whether something counts as a competitor at all depends on which customers, which need, which geography, and which purchase situation you're talking about. Two companies can compete hard in one segment and barely cross paths in another. And showing up next to each other on a search results page doesn't automatically make two companies business competitors. The buyer's actual choice is the more useful line to draw.
Why marketing teams run one
Marketing teams don't run a competitive analysis because it's a checkbox on a strategy document. They run it because it changes decisions that were otherwise being made on instinct.
Positioning and differentiation. You can't explain what makes your offer different if you don't know what the alternatives are claiming. That's really about sharpening a genuine unique selling proposition, not repeating a slogan. A difference is only useful strategically if it actually matters to the buyer you're trying to reach and if your business can genuinely back it up. Competitive analysis gives you the material to make that case instead of repeating the same category language everyone else uses.
Messaging. Understanding the alternatives a prospect is likely comparing you against tells you what questions your messaging needs to answer. Worth remembering here: a competitor's messaging is evidence of what they say about themselves, not proof that their promise actually works or that buyers believe it.
Campaign and channel decisions. Looking at what competitors are doing puts your own marketing angle or audience choice in context. It doesn't tell you their spend, their conversion rate, or their return, but it does tell you whether you're walking into a crowded message or a genuinely open one.
Content strategy. Seeing how competitors present their expertise helps you figure out what perspective your own content can credibly offer, and to which readers. The useful question here is what you can say that they can't, not how closely you can copy what they've already published. The detailed mechanics of finding SEO gaps or content topic gaps are their own separate process, worth their own guide, but the instinct behind both starts here: understanding what's already been said before you decide what to say next. Plenty of published guides walk through how to conduct that analysis to step up your content strategy in more tactical detail.
Strategic awareness. A competitive analysis surfaces threats before you're relying on a stale picture of the market, whether that's a direct rival launching something new or a substitute quietly becoming more appealing.
If you're managing a publishing backlog, the real value is prioritization with context. It helps you choose a distinctive angle or claim before you spend production time on it, rather than after. What it doesn't do is guarantee that the analysis itself will increase your output, your rankings, your AI citations, or your revenue. And if you notice a competitor showing up in an AI answer to a question you care about, that's a reason to look closer at your own visibility. It isn't proof of their market share, and it isn't proof that showing up there is doing anything for them.
When should you revisit it?
A full competitive analysis is most worth doing when you're defining or changing your positioning, entering a new market or customer segment, launching or meaningfully changing an offer, or setting and revisiting your marketing or content strategy. Those are the moments when an outdated picture of the competitive landscape can actually steer you wrong.
Worth revisiting the relevant parts of your analysis when an important rival launches something new, a substitute becomes more compelling to your buyers, or you start to suspect your existing assumptions about the market have gone stale. These are decision triggers, not a fixed calendar every team has to follow.
One piece of published business advisory guidance suggests doing a fuller assessment at least once a year, with a lighter data refresh every couple of months in between. Treat that as one practitioner's recommendation, not a measured industry standard everyone should copy. The sensible cadence for you depends on how fast the relevant part of your market actually changes, and whether a decision sitting in front of you would be affected by what you'd find. A routine check-in and a deeper reassessment are doing different jobs, and neither one replaces the other.
What it can and can't tell you
A competitive analysis is genuinely useful, but it's worth being honest about where its usefulness stops. Here's a rough map of both sides.
| It can help establish or suggest | It cannot establish on its own |
|---|---|
| Which known offers, substitutes, and segments seem relevant to a defined buyer choice | An exhaustive list of every future entrant or alternative a buyer might ever consider |
| What competitors publicly offer and claim, and how that compares with your own offer | Their confidential roadmap, actual costs, campaign spend, or internal priorities |
| Plausible strengths, weaknesses, opportunities, and threats worth investigating further | That an apparent gap represents real unmet demand or a profitable opportunity |
| Reasons to revisit your positioning, messaging, or editorial priorities | That copying a competitor's tactic will reproduce their results |
| A snapshot of observable competitive activity at a given point in time | A guarantee about future market behavior or campaign performance |
The interpretive rule underneath all of this: public activity is observable, but intent, effectiveness, and what buyers actually prefer often are not. A highly visible message isn't necessarily a winning one. A competitor leaving something out of their offer isn't proof that nobody wants it. Comparing alternatives can sharpen a decision, but you still need customer research and your own results to test claims about demand or performance. A competitive analysis for content strategy works the same way: it tells you what's already been said and by whom, not what your specific readers actually want from you.
There's also an ethical line worth naming plainly. Competitive intelligence should be gathered and analyzed legally and ethically. Public records, patents, published pricing, a competitor's own marketing, these are fair game. Unauthorized access to a competitor's systems is not, and a former employee of a rival still owes that company confidentiality even after they've moved on. None of this is exotic; it's closer to common sense than a formal code, but it's worth stating because the temptation to cut corners tends to show up exactly when a decision feels urgent.
Where DeepSmith fits, briefly
None of the above requires a tool. A lot of competitive analysis is genuinely a matter of reading, comparing, and thinking clearly about what you find. Where a platform like DeepSmith becomes relevant is narrower: if part of your competitive picture now includes how AI engines like ChatGPT or Gemini answer questions in your category, that's a layer of AI visibility you can't check by browsing a competitor's website. DeepSmith tracks which of your pages, and which of your competitors' pages, get cited when those questions come up. It reports that as a mention rate, a citation rate, and a share of voice figure against the competitors you're tracking, so you can see a specific slice of the competitive landscape instead of guessing at it. Worth being clear that this shows you visibility among the questions you're tracking, not your full market share, and a citation showing up once doesn't tell you why it happened. It's one input into a competitive picture, not the whole of it.
Getting the concept straight before you build the spreadsheet
The core idea is simple even when the execution takes real work: competitive analysis puts your business decisions in context by showing you the real alternatives your buyer is weighing, not just the companies that happen to resemble yours. Get the concept right first, the buyer's choice, the honest limits of what the analysis can prove, and the actual work of building one out gets a lot more focused. If AI visibility is already part of your competitive picture, DeepSmith's free trial lets you look at your own citation data before you commit to anything.
