Research

How to Analyse Competitors with AI

Build a structured competitive analysis covering positioning, pricing, strengths, weaknesses, and strategic gaps.

Competitive analysis done well informs product roadmap, pricing strategy, and marketing positioning simultaneously. AI can synthesize publicly available information about competitors into structured frameworks — positioning maps, feature comparison tables, and gap analyses — giving you strategic clarity without weeks of manual research.

Why Competitive Analysis Is Often Done Wrong

Most competitive analyses produce a feature comparison table and stop there. A feature comparison tells you what competitors have built; it does not tell you who they are building for, what problem they have chosen to ignore, or which customer segment is underserved. Strategic competitive analysis starts with positioning — not features. Positioning answers: what does this company believe about the market that justifies its specific choices? When you understand the belief behind each competitor's product decisions, you can identify where their belief is wrong or incomplete, which is where your opportunity lives. AI can help you move from feature inventory to positioning analysis by synthesizing publicly available information about messaging, pricing, and product decisions into a coherent strategic picture.

How to Identify White Space in a Competitive Set

White space is the customer segment, price point, or use case that exists in the market but is not being served by any competitor. Identifying it requires mapping the full competitive set — not just the obvious direct competitors but also indirect competitors who solve the same underlying problem differently. AI can generate a positioning map from a list of competitors and a set of dimensions you specify, revealing the clusters where competition is dense and the gaps where it is sparse. The most valuable white space is not necessarily the empty quadrant on a positioning map — it is the underserved customer whose problem the current competitive set has decided is too small, too complex, or too unprofitable to solve well.

The Inputs That Make Competitive Analysis Actionable

Competitive analysis becomes actionable when it ends with specific strategic implications, not just observations. The inputs that produce actionable analysis are: a clearly defined competitive set including direct, indirect, and aspirational competitors; the specific dimensions that matter for your positioning decision; and a stated strategic question — are you deciding on pricing, positioning, product roadmap, or go-to-market channel? When you give AI a strategic question alongside the competitive data, it can generate recommendations that connect the analysis to a decision rather than leaving that final step to you. Analysis without a strategic question is intelligence without a mission.

Step-by-step guide

Define competitors and scope

List the 3 to 5 direct competitors you want to analyze and the specific dimensions you care about.

Build a comparison framework

Ask AI to create a comparison table with dimensions: pricing, target customer, key features, positioning, and distribution.

Identify gaps and white space

Ask AI to identify which customer segments, price points, or use cases are currently underserved by the competitive set.

Generate strategic implications

Ask AI to translate the analysis into 3 specific strategic recommendations for your positioning or product.

Ready-to-use prompts

Structured competitive positioning analysis

Conduct a competitive analysis of these [NUMBER] competitors in [MARKET / CATEGORY]: [LIST COMPETITORS]. Compare them across: target customer segment, pricing model and price point, core product differentiator, primary messaging and value proposition, distribution channel, and one strategic weakness. Format as a comparison table. Then: 1) identify 2 underserved customer segments the full competitive set ignores, 2) identify the price point with the least competition, 3) recommend where a new entrant should position to avoid direct conflict. My company context: [YOUR BRIEF DESCRIPTION AND WHAT YOU ARE TRYING TO DECIDE].

Why it works

Ending the analysis with a stated positioning recommendation forces the output to be strategic rather than descriptive — the goal is a decision, not a table.

Single competitor positioning deep dive

Analyze the brand positioning of [COMPETITOR NAME] in detail. Based on their public website, messaging, pricing, and product decisions, answer: 1) what belief about the customer do they appear to hold, 2) who is their primary target customer and what specific pain are they solving, 3) what customer segments or problems do they appear to have consciously ignored, 4) what does their pricing signal about their market positioning, 5) what is the single most vulnerable part of their positioning that a competitor could exploit. Apply the same analysis to [COMPETITOR 2] and compare the two.

Why it works

Asking about what a competitor has chosen to ignore is more strategically valuable than cataloguing what they have built — the ignore list reveals the opportunity space.

Practical tips

✦Define your strategic question before starting the analysis — are you deciding on positioning, pricing, roadmap, or channel? The question determines which dimensions matter.
✦Include indirect competitors in your analysis — the company solving the same underlying problem differently often represents the most important competitive threat.
✦Ask AI to identify what each competitor has decided not to do — the absence of features or customer segments is as strategically informative as their presence.
✦Generate a positioning map by asking AI to place each competitor on two axes you define — visualization often reveals clustering and white space that a table obscures.
✦Validate AI-generated competitive analysis against primary sources before sharing it — AI knowledge has a cutoff date and competitor positioning changes faster than training data updates.