-: Sometimes it can be a big struggle
to get data-backed insights on your competition.
And this lesson is all about how AI is changing that.
In this lesson, we're gonna be using ChatGPT o1
to craft a targeted research prompt.
Then we're gonna run that through Deep Research
to analyze our competitors' strengths, weaknesses,
and market gaps.
And by the end of this lesson,
you're gonna have a detailed competitor x-ray,
and a clear roadmap to position your businesses
and your projects more strategically.
Now we're gonna set things up properly,
similar to what we did in the previous lesson.
So, let's use ChatGPT with 01 switched on
in AI software for education.
I need a detailed breakdown of their strengths, weaknesses,
pricing models, customer sentiment,
and any gaps in their offerings.
Your assignment is to generate the best Deep Research prompt
in order to get the most detailed
and structured actionable insights.
Now let's see how o1 processes this prompt.
So o1 is actually structuring the research here,
so it's outlining the key components
and explaining why each detail matters.
And it's not just giving us a question,
it's helping to lay the foundation
for a high value competitive analysis.
Now, a small tweak that I made is refining the scope
so that Deep Research can identify key competitors
for us in this example.
Now that we have a strong and targeted prompt,
it's time to put this to work.
And as you know, already Deep Research is different
than the standard ChatGPT responses
because of the time it takes,
the deeper amount of analysis that it does.
And it's also response and asking clarifying question
before it goes into research mode.
Because it asks for some clarifying questions,
here's what it wants to know.
Who is the target audience?
Do we need a global or local analysis?
What is the level of detail? Which sources to prioritize?
And if there are any specific metrics
that we personally care about for this example?
We can fill in these details
or we can let Deep Research decide for us.
So once we send it off, AI starts doing the work for us,
pulling in real time data
to generate a structured competitor analysis.
So we're gonna cut forward here in the edit,
and this time it took us 15 minutes to get our response
and it reviewed over 31 sources, which is pretty incredible.
So looking at this, right away we get a big picture view
of AI in education, how fast the market is growing,
which companies are leading,
and what trends are shaping the industry itself.
Now this isn't just a competitor list,
it's a well-structured breakdown of who's driving innovation
and where the opportunities are emerging.
So the report goes into competitor identification,
profiling some key players like Duolingo, Chegg and Riiid.
Some focus on AI tutoring, others on corporate learning,
and some, like Quizlet, are integrating AI assistance
into different study platforms.
So right away we can see who is dominating this market
and how they're positioning themself.
Now we can move into strengths and weaknesses,
and this is where AI really kind of shines
in this department.
Instead of just generic descriptions,
Deep Research is helping us to analyze
what makes each company more competitive.
For example, Riiid stands out for its adaptive AI tutoring.
Its platform helps you predict students' performance
in real time, tailoring lessons based
on individual strengths and weaknesses.
This is kind of a newer predictive learning,
gives them a really strong competitive advantage
in test prep markets where this type
of efficiency is really important.
On the other hand, there's Sana Labs,
which takes a completely different approach.
Instead of selling directly to students,
they license their AI to corporate education platforms.
This basically means that they don't have
to build a consumer brand at all.
Instead, they are embedding their AI
into existing learning ecosystems,
which is a completely different type of market,
making it a more behind the scenes player
in the corporate training and higher education markets.
Now, at the same time, we can see where companies struggle.
And one of the most surprising cases
here is actually Duolingo.
For all its success, and I know you've probably heard of it.
Duolingo is faces a major perception issue.
While casual learners love the gamification
of the platform itself,
many serious language learners have felt
it doesn't develop real world conversational skills.
But their introduction
of the AI-powered conversation practice is a step for them
in the right direction.
But there's still a gap for competitors in this analysis
to clearly come in and try to capitalize on.
Now if you scroll down here we have the customer sentiment.
And this section pulls from real reviews,
social media trends, things like case studies,
and it shows what users are actually thinking.
Some platforms get higher praise for a personalization,
for example, while others get a consistent amount
of complaints about pricing, usability,
or even missing features.
So this section is pretty valuable
because it highlights
where competitors are meeting expectations
and also where they're falling short.
Now, scrolling down even more,
we get to market gaps and opportunities,
where Deep Research is starting
to put some actionable insights for us.
It kind of points out here unmet needs,
like AI tools that can support multiple subjects,
better AI solutions for students with learning disabilities,
and a overall major lack for offline learning options
with students in more low connectivity areas.
So these are some strategic openings you could capitalize on
with some level of a smart action plan in place.
Now with all of this in one report,
we now have a real competitive roadmap.
No more guessing, like before,
or having to speak to experts.
We can now have data-backed insights
that help us to position smarter, respond faster,
and find different gaps that others might not be addressing.
Deep Research isn't just about gathering competitor data,
it's about turning insights into strategy.
With AI-driven research, you can now stay ahead
of the competition and make data-backed decisions
that actually make a large impact
on your business and projects.