LearnAI builds you a hands-on course in AI-powered competitive intelligence — from monitoring rivals to turning findings into positioning you can act on.
AI turns competitor research from an occasional scramble into a repeatable process: it can summarize competitor websites and reviews, compare pricing and positioning, digest earnings calls or changelogs, and draft battlecards — as long as you verify what it claims. LearnAI teaches the full workflow in a personalized course, using your real competitors as the case study. You can start free, no account required.
Practical competitor research with AI looks like this: paste a rival's pricing page and get a structured comparison against yours, feed in a batch of their customer reviews and extract recurring complaints, summarize their last quarter of product announcements, draft a sales battlecard from the findings, and set up a routine so it happens monthly instead of never. Each of those tasks used to take hours of tab-hopping; AI compresses them to minutes.
The catch is that AI will happily present outdated or invented details with total confidence, and raw summaries aren't strategy. The skill is building a process: deciding what to track, prompting for structured comparisons rather than vague overviews, verifying key claims against primary sources, and turning the output into decisions about positioning, pricing, and roadmap. LearnAI teaches that process through conversation, working on the actual competitors you name.
5 weeks at 2-3 hours per week · built by LearnAI, adjusted to your level and goals
This is an example of the course plan LearnAI generates — yours will be personalized from your first message.
Define your real competitive set — direct, indirect, and emerging — and pick the handful of questions your research should answer.
Build a structured profile of each competitor with AI — offering, pricing, positioning, audience — and learn to verify before you trust.
Use AI to digest large volumes of competitor reviews and community chatter into themes: what customers love, hate, and wish existed.
Run structured side-by-side analyses and use AI to pressure-test where you genuinely win, lose, or merely differ.
Turn research into artifacts people use — sales battlecards, exec briefs — and set a lightweight monthly monitoring cadence.
Competitive intelligence used to belong to companies with analysts or expensive CI platforms. AI has collapsed that advantage: a founder, marketer, or product manager can now do in an afternoon what once required a dedicated function. Markets also move faster — competitors ship, reprice, and reposition constantly — so a once-a-year competitive deck goes stale almost immediately.
None of this requires code. It requires knowing which questions to ask, which sources to feed the AI, and how to separate verified facts from plausible-sounding guesses. Those habits are the difference between competitive research that shapes decisions and a folder of summaries nobody reads — and they apply whether you're in sales, marketing, product, or running the whole company.
Name your market and rivals, and every exercise uses them — you finish the course with real profiles, comparisons, and a battlecard, not hypothetical examples.
The tutor repeatedly has you check AI-generated claims against primary sources, so distinguishing fact from confident guess becomes reflex before you present findings to anyone.
A sales rep needs battlecards; a founder needs positioning strategy; a beginner needs the basics of prompting first. LearnAI shapes the course to your role and experience.
Work through every module and pass the reviews, and Pro members earn a completion certificate for LinkedIn or a performance review.
No. Everything in the course happens through conversational AI tools — pasting in sources, asking structured questions, and organizing output. If you can write a clear email, you have the technical prerequisites.
AI is excellent at digesting material you give it — pages, reviews, announcements — and decent at retrieving recent public information, but it can also cite stale or invented details. That's why the course pairs AI speed with a verification habit and a monitoring routine, so you catch real changes without trusting unverified claims.
It's automating the gathering and summarizing layer, which was most of the manual work. The judgment layer — deciding what matters, connecting findings to strategy, briefing leadership — remains human, and being the person who runs both layers well is a stronger position than doing either alone.
You'll produce a usable competitor profile in your first week. The full course runs about five weeks at 2-3 hours per week, ending with battlecards and a monitoring routine you keep running afterward.
Researching public information — websites, pricing pages, reviews, filings, press — is standard business practice. The lines you don't cross are the same as always: no misrepresentation, no accessing confidential information, and respect for terms of service. The course sticks to public-source methods throughout.
You can start it at no cost and without an account. The free tier caps the number of AI tutoring messages; Pro lifts the cap and adds a completion certificate when you finish.
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Tell LearnAI your goal and your level. It builds your course and starts teaching in under a minute — free, no account needed.
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