LEARNING HUB

How to Use AI to Do Quick Competitive Analysis

Artificial intelligence is reshaping the way marketers and business owners analyze competitors. In this week’s episode of AiME Weekly Podcasts, our panel dived deep into the tactical side of using AI-driven tools―from ChatGPT to Perplexity, Gemini, Manus, and Claude―to streamline competitive analysis for businesses of any size.

Why does this matter right now? Because the pace of change in digital marketing is relentless. Traditional methods of competitive intel gathering—think manual mystery shopping, endless review analysis, or compiling data across tools—just can’t keep up. But with the latest generation of large language models (LLMs), competitive analysis is no longer something you “get to someday.” Instead, it becomes a 30-minute, insight-packed operation that’s accessible to every marketer, consultant, and owner who knows the right prompts and process.

Here’s an actionable breakdown of the tools, workflows, and mindset shifts that today’s AI marketing leaders are using to gain an unfair advantage—delivered in plain English, minus the noise.

 

This Week in AI: Key Developments

This week’s episode showcased a toolkit of cutting-edge AI platforms and the subtle—but critical—differences in what each can deliver for competitive analysis:

The Tools that Matter

  • ChatGPT: Still the Swiss army knife for quick prompts and brainstorming, but it’s often limited by outdated knowledge and can return generic, PR-style summaries if not prompted deeply.
  • Perplexity: Emerged as the go-to research engine for real-time, internet-wide data and sentiment analysis, assembling insights from diverse sources (Reddit, reviews, blog posts) to surface what customers actually feel.
  • Claude: Shined in synthesizing raw data and converting competitive intelligence into actionable positioning gaps, marketing headlines, and strategic reports—ideal when you want clarity, not just raw info.
  • Gemini: Leveraged for its Google integration and up-to-date content, ticking the box for anyone wanting to cross-check findings in Google’s own dataset.
  • Manus: Highlighted as one of the first “agentic” platforms—meaning it runs autonomous research agents that compile comprehensive, multi-source competitive reports, even spinning out instant marketing resources like landing pages.

Why should you care? Because blending these tools (rather than betting on just one) brings a signal-over-noise approach. Each platform fills in gaps the others miss, and together they deliver a 360-degree view of your competitors’ actual weaknesses—and your own winning moves.

 

Tactical Takeaways & Use Cases

What can business owners and marketers put into action, starting this week? Here’s how the panel applied these AI tools to crush the old ways of research:

What Was Shown

  • Prompt Chaining: Instead of asking a single “what do you know about X competitor?” question (which returns bland info), the discussion emphasized building layered prompt chains—each focused on gaps, pain-points, customer sentiment, pricing hacks, and more.
  • Competitor Sentiment Analysis: By specifically instructing LLMs (ideally via Perplexity or Claude) to ignore company PR and focus on third-party sources (like Reddit threads and 2-4 star reviews), marketers extract the real frustrations customers have.
  • Multi-Model Battle: Running the same research prompt through several models (e.g., ChatGPT, Gemini, Perplexity) to compare, hone in on overlaps, and uncover blind spots.
  • Instant Synthesis: Using Claude to turn research “raws” into punchy ad headlines and gap-filling content ideas based on customer voice—ready for direct use in marketing.

Why It Matters

  • Speed: AI reduces hours of data collection and synthesis to under 30 minutes, making competitive research a foundation of weekly (not yearly) marketing ops.
  • Depth: These workflows get past surface-level PR, revealing actionable pain points and positioning gaps your brand can exploit immediately.
  • Actionability: Outputs aren’t just research—they’re ready-to-use headlines, ad copy, and even one-page executive summaries.

How to Implement

Small businesses, agencies, or internal marketing teams can:

  • Start with a master “company blueprint” prompt (so AI knows your context).
  • Run competitor research prompts in at least two LLMs to cross-validate.
  • Specifically mine customer reviews, Reddit threads, and FAQ language.
  • Synthesize the findings into headlines and content ideas that speak to customer pain.
  • Repeat quarterly—AI lets you make competitor intel a consistent habit.

 

AI Workflow or Strategy Spotlight

Let’s break down the standout tactic from this episode: The “Positioning Gap to Headline” Workflow.

How It Works:

  1. Research Competitor Gaps:
    • Use Perplexity or Manus to uncover specific customer complaints, negative reviews, and neglected features or content gaps.
  2. Synthesize with Claude:
    • Paste research into Claude and prompt it to act as a seasoned CMO.
    • Instruct: “Identify the 3 most specific positioning gaps, give each a name, write a punchy counterclaim headline, and explain the customer segment it speaks to.”
  3. Review Output:
    • Get 3 battle-ready headlines and explanations, each mapped to a live gap in the competitor’s market.
  4. Deploy:
    • Use these headlines in landing pages, ads, or sales copy to directly address (and capture) frustrated competitor clients.

Who It’s Best For:
Agencies looking to land new clients, founders of SaaS or local SMBs seeking to “punch above their weight,” and internal marketers aiming for rapid campaign ideation.

 

What This Means for Marketers in 2026

The old manual approach to competitive analysis is, frankly, obsolete. In 2026 and beyond, the marketers and business owners who win will be those who make AI-driven competitor insight part of their standard operating procedure—not an annual special project.

Strategic implications:

  • Agencies & Consultants: Rapid, AI-powered competitor dossiers become table stakes for client acquisition and retention.
  • Internal Teams: Standardized, repeatable AI workflows enable nimble pivots in messaging, pricing, and offer design—outpacing less-adaptive competitors.
  • SMBs & Founders: No need for big-research-budget paralysis. AI levels the playing field, democratizing strategic intelligence.

The upshot: The AI-powered competitive intelligence cycle—research, synthesize, deploy, refine—moves from theory to everyday practice, driving better decisions at every stage.

 

Implementation Checklist

Ready to beat the competition in under an hour? Follow this action plan:

  1. Define Your Company Blueprint: Summarize who you are, who you serve, and your unique value.
  2. Identify Top Competitors: Use AI to surface actual market leaders—not just your usual suspects.
  3. Mine Real Customer Sentiment: Prompt AI tools for reviews, Reddit threads, pricing sheets, and third-party commentary.
  4. Cross-Reference Models: Run the same prompts in at least two LLMs (e.g., Perplexity and Gemini).
  5. Extract Positioning Gaps: Synthesize data in Claude to name clear competitor weaknesses.
  6. Generate Ads/Content: Turn findings into ad headlines and blog ideas mapped to each gap.
  7. Create One-Page Dossiers: Use agentic tools like Manus to automate report building.
  8. Rinse and Repeat: Schedule a monthly or quarterly review cycle.

Frequently Asked Questions

What’s the fastest way to surface real competitor weaknesses?
Use AI to mine 2–4 star reviews and Reddit threads via platforms like Perplexity, then synthesize actionable gaps in Claude.
For up-to-date research, try Perplexity or Gemini. For synthesis and strategic output, Claude excels. Use agentic platforms like Manus for automated reports.
Absolutely. The core process applies to any business—just specify competitor name, location, and target customer type in your prompts.
Convert your best prompt chains into “skills” inside AI tools, making competitor analysis a plug-and-play operation for your team.

Conclusion

The future of competitive analysis is here—and it’s driven by AI. If you’re still relying on old-school research or rarely revisit your competitive playbook, you’re falling behind. Plug into these workflows, test the tools for yourself, and watch as high-value insights and differentiated marketing angles become your new standard. Ready for a deeper dive? Don’t miss our “Show Guide & Resources” for battle-tested prompts, demo videos, and step-by-step templates.
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Transcript

CHRIS HUNTER
1:23

Everybody. And welcome to our latest episode of the AI Marketing Experts. I’m joined here with, we’re missing a few people, but we, we have our whole crew here and we’re going to talk about all sorts of things with AI and marketing today. We have a very interesting concept here that we have put together and basically, you know, it’s about competitive analysis. How do you do competition, you know, or deal with the competition online? How do you figure out what they are? Right? And the problem is that if we’re always as small business owners, you know, wondering what’s, what are they doing? What are they doing that I’m not doing? Right? And if you’re an agency owner, obviously you’ve got competitors in your market. If you’re small business owner, you’ve got all sorts of competition that’s out there, right? Well, if you have tried doing this in the past and you have no, you’re not getting a good output from Chad, GPT or whatever LLM that you’re using to show you exactly how to do it and how to get the exact output that you’re look that you really need in order to help you move the needle.

LAURA SUTHERLY
2:39

I think this is a common topic that we receive from small business owners is that as we ask who do you feel is your competition? They may say oh I don’t have any competitors. And even if you approach that this way and think okay, but I’m intrigued as to what others are doing, these prompts will open your eyes or at least give you that vantage to see what’s going on that you may not have considered, especially as you’re planning out your next quarter, your marketing, your year, what your next move is.

JOHN CLENDENNING
3:09

Yeah, I think as Chris is pulling up the screen, I’ll chime into that as well because having run local service businesses for 30 years before doing this stuff or in the middle of doing all the marketing and consulting and all that stuff, that was one of the things that I found actually help differentiate between the sort of the people that are strategically operating a business and growing versus the reactionary is that most business owners don’t. They just think they’re the best, they hate all the other guys kind of idea and we just do things so much better. And they never mystery shop, they never check, they never, they don’t mystery shop their own team members and stuff let alone which we, we did painfully because you know, you don’t want problems in the marketplace that, that your team team isn’t telling you is happening. But you also want to find out the gaps like and who’s doing what, where and when. Like if you’re targeting like Chris, which Chris and I have talked about this before, if you’re Targeting the, the 15,000 square foot home roofs and the size of that job versus the 1800 square foot home and the, the size of those roofs, they’re entirely different companies in those marketplaces. They speak differently, they at market differently, they answer phones differently, they follow up differently. Did you know that? Did you check into any of that? Are you building your business around one or the other or just trying to be in everybody, everything for everybody and which is a definite recipe for failure. So competitive analysis is huge in running a agency, running a local company, local business or anything.

JOHN CLENDENNING
4:44

And it is kind of one of those things that yeah, I’ll get to it someday. AI’s made that day about a 30 minute task. If you do it right.

LAURA SUTHERLY
4:51

Absolutely. It used to take so much time. So what do you have for us today, Chris?

CHRIS HUNTER
4:56

Okay, so we’re going to pretend that because we didn’t want to step on anyone’s toes or anything like that. And so what we’re going to do is we’re going to say we are. We are starting up a SaaS. Right. And the SAS stands for software as a Service. And So we’re. The SaaS that we’re starting up is a. Is an email marketing platform.

CHRIS HUNTER
5:18

Right. Our main competitors would be in that space probably Mailchimp and ActiveCampaign. So we’re going to do a competitive analysis on active campaigns specifically. Okay. So I’m going to show you what typically happens. Most people go into chat GPT. Right. And if you followed us for any length of time, you understand what I say about chat GPT.

CHRIS HUNTER
5:38

But here we are right here. Okay. All right, so most people will do exactly this right here. What can you tell me about activecampaign? Did that actually come through?

LAURA SUTHERLY
5:52

It did.

JOHN CLENDENNING
5:53

Oh, we heard you that time. Yeah. So, yeah.

CHRIS HUNTER
5:55

Okay. All right. You could actually hear the prompt. Okay, good. All right, so what can you tell me about activecampaign? And that’s it. Most people will put that in as a prompt and it’s going to do all sorts of stuff and it’s going to come back probably with information that might or might not be relevant. Right. So let’s see.

JOHN CLENDENNING
6:14

Let’s zoom in on that a little bit if you get the chance.

CHRIS HUNTER
6:17

Yeah. Can you not see it? Let me zoom. Here we go. Is that better?

LAURA SUTHERLY
6:21

That’s great. Yes.

JOHN CLENDENNING
6:22

For those listening, we’ll read a little bit, but yes, on the screen is your. Your. Your typical generic PR copy dribble.

CHRIS HUNTER
6:30

Right. ActiveCampaign Pain is primarily an email marketing plus marketing automation platform that’s evolved into a broader CRM customer experience automation system. It sits somewhere between basic email tools like Mailchimp, enterprise platform like HubSpot. Right. So it’s. This is basically a lot of information that’s probably just out there on the Internet, most likely coming from their website themselves. Right. What we want to do to figure out what they’re doing on a marketing side of things is way different than what it’s.

CHRIS HUNTER
7:03

It’s giving us here. Right. So, yeah. What do you all think about this prompt here?

JOHN CLENDENNING
7:11

Customer sentiment or anything? No, I don’t see any customer sentiment or anything like that. Like. Like what do we. Yeah, it does seem pulled right off a website. Just generic dribble.

LAURA SUTHERLY
7:23

It is. And I mean, at least it’s one step forward. Using AI to say, hey, what can you see? What can you find? And obviously we’re using very popular companies Here with our examples today, if we would have selected a local company, we would want to not only be specific, specific about the name, maybe the location, start asking what kind of customers they serve, what kind of homeowners they serve, what kind of areas are they in. So you definitely want to provide additional information when you’re starting even with that initial prompt, because it will pull off what is online. Obviously, ActiveCampaign has a lot because their foundation, their footprint is very strong because they know what they’re doing.

JOHN CLENDENNING
8:04

But.

LAURA SUTHERLY
8:04

So this is giving us a lot more information than if we would have said, tell us about ABC location in our area.

CHRIS HUNTER
8:12

100.

JOHN CLENDENNING
8:13

Yeah, yeah, it seems good. Like, I mean, it seems basic, A basic first draft output. It wouldn’t be something that again, you could probably get a lot of insider action on. How would you price comparatively, if you’re starting your own company? What are the, what are the real customer complaints, customer things that people like, you know, all that kind of stuff. If you were a agency tried to, hey, hey, I’d like to pay you to do a competitive analysis on my new, my new SaaS company. If you, if you copied and pasted this into a document and sent it to them, they’re gonna go, well, I could have found that myself. Like, no, really, what’s, what’s the gap? Like, where’s the exact.

CHRIS HUNTER
8:52

But see, that’s all the information that basically we didn’t feed it. Right. So, you know, anyways. Yeah, go ahead.

LAURA SUTHERLY
8:59

I was just gonna say. So what would be the next step? How would you strengthen that prompt using more insight or two that would actually provide us more insight. What would you recommend?

CHRIS HUNTER
9:11

Yeah, yeah, so I’ve, I’ve actually got a pretty good prompt chain over here that I think that will work just fine, that we prepared beforehand. And, and basically what you want to do is all that stuff that you were saying that John was saying that is not there. You got to ask it to go look for that. Right? So again, we’re in Chat GPT, but I would use a better tool. Tool, first of all, right. I would go to something that has direct access to absolutely everything on the Internet. Something like Perplexity. Okay, yeah.

JOHN CLENDENNING
9:43

And Perplexity is, is already known to be a little like, again, does a deeper sentiment analysis just on its own. The way it’s built. Chat GBT is. What do they say? It’s how many months back is the, the knowledge, right, at 8 months, 10 months, something like that. It’s, it’s, it’s active context windows. Perplexity goes out and sees what’s happening right now. It’s perplexity. I always thought just, just if anybody else thought this as well, Perplexity was its own LLM.

JOHN CLENDENNING
10:07

Well it isn’t. It’s an aggregate LLM. So it, it uses in the background a bunch of different, like chat, like OpenAI and anthropic and a bunch of other ones to, to create its context. It’s not, it’s not, it’s not its own data servers and its own, its own thing. So interestingly as well. So Perplexity has a, has always had sort of a little bit of an edge. Claude writes better chat GPT is more of your Swiss army knife perplexity and there’s others in the mix, but Perplexity is sort of that one that seems to be better for research in general because of its context window and where it’s pulling from just in general and.

LAURA SUTHERLY
10:50

Right, yeah, you can see the difference in the prompt.

JOHN CLENDENNING
10:54

Right? Yeah, yeah. And then so a better prompt, like a better way better prompt, like a big wig, deeper prompt is going to get you a better, better answer and which LLMs. So compete LLMs against each other. I think we’ve talked about that before as well is check one, check the other, that kind of thing. Start building sort of like a case around what you’re doing as well. That, that’s always helpful in AI. It’s not to just some of the other ones are free like I mean you can at least try the free one out. So you want to pay the 20 bucks or the whatever if you’re coding and you want to be, you know, the 200 max plan like Chris, that’s entirely different.

JOHN CLENDENNING
11:24

But there’s Gemini also at all as well. Just check the different answers but start a better prompt is going to get you a better answer and then you can compete the two against each other or three and really dial in some really good insights.

LAURA SUTHERLY
11:39

And Chris, while this is running, why don’t you drop that same prompt back over at ChatGPT so that they can see the difference as to what would be pulled and what would not be pulled to our point as to how it’s aggregating through the LLMs as well as it’s up to date information 100. And I think that proves John’s point too is you can do the exact same prompts in both to see what information is presented. But the deep research in perplexity is usually amazing.

CHRIS HUNTER
12:13

Yeah, and I’m going to let that run basically. Right. So you know, we just asked it here what are the specific complaints? Any threads, discussions about them on Reddit? You know, everyone knows about Reddit these days. Current pricing tiers, news articles, blog posts, all, all that kind of stuff. Right.

JOHN CLENDENNING
12:32

So ignore marketing, ignore their own marketing, you know, because again we all market our, our best foot forward. So that’s right at the top of that prompt as well. Which is a very smart point. Like say hey, actually ignore what they’re saying and let’s see what what everybody else is saying. The reason why Google Reviews blew up years ago is like hey, I don’t care what’s on your website. I care what Nancy said around the corner about your business. So.

CHRIS HUNTER
12:54

Right.

LAURA SUTHERLY
12:55

And also that 1 and 2 stars, 1 stars usually outliers, there’s just people that are mad. 2 stars are generally disappointed customers and that will start showing you a gap of where your company might be able to step in and fill. It also kind of gives you an idea of what complaints are out there. So. So don’t always ask for the five star ratings. Consider the two star. They are going to give you a lot of information and I think four stars.

JOHN CLENDENNING
13:23

Another side of that is a five star is a raving fan. Right? And so if somebody’s got 392 reviews and they’re all five stars, I don’t trust them just to be straight up. And people don’t. The actual trust in an aggregate of ratings is somewhere between 4.7 or 4.6 and 4.9 I think is the numbers I’ve heard before. People don’t trust a perfect five star because you’re not going be perfect. Somebody who leaves a four star review is like, I’m mostly happy. Here’s a few things that I would have done differently. Imagine the intel, the, the business intelligence in that, right.

JOHN CLENDENNING
13:55

The intel that you can get from how close they got. Like think of an Amazon if you sell. I used to sell products on Amazon as well. And the competitors we always found what we were always looking for. And it was manual before the days of AI it was literally manually scouring through hundreds and hundreds and hundreds of competitors reviews inside Amazon to say hey, what did somebody almost perfectly like but made a little comment there. Can we add that to our version? Right. So another little point there.

CHRIS HUNTER
14:26

100. So now, right, what we’re going to do is we’re going to go into another LLM here, right. As you know, my favorite here is Claude. Okay. So we’re going to take the competitive analysis information, we’re going to take this prompt and we’re going to throw this in here. Right. And right here. Okay.

CHRIS HUNTER
14:47

Actually, I’m going to remove that and switch it with Active Campaign real quick.

JOHN CLENDENNING
14:54

Okay.

CHRIS HUNTER
14:55

And then we’re going to take our entire output that we got here from Perplexity and just copy this entire thing. Okay. And we’re going to paste it right here into the cloud conversation. Okay. And what.

JOHN CLENDENNING
15:07

What’s this prompt about?

CHRIS HUNTER
15:09

Just so this prompt. Yeah, can y’ all see it? Do I need to zoom for the listeners as well?

JOHN CLENDENNING
15:15

We’re.

CHRIS HUNTER
15:16

Okay.

JOHN CLENDENNING
15:16

We’re now doing a synthesis of the data.

CHRIS HUNTER
15:19

Right. So act as a direct response CMO with 15 years of experience turning competitor weaknesses into client acquisition campaigns. Here’s the raw competitive intelligence on activecampaign. Okay, that’s all the information that I just pasted in that was from above. Let me get down to mine. Your task. Identify the three most specific positioning gaps, areas where this competitor is consistently frustrating or disappointing their customers in real review and form data. Name each gap clearly.

CHRIS HUNTER
15:50

For each gap, write one punchy counterclaim headline under 12 words that a competitor could use in their own landing page or in a Facebook or Google Ad to speak directly to those frustrated customers. Number three. For each headline, write one sentence explaining what which customer segment it targets and why the language will resonate with them. Be direct, be specific. Don’t use hedge words like perhaps or might. These headlines need to be useful usable on Monday. Right. And the output here that we’re telling it, three positioning gaps, each with the gap name, a counterclaim headline and one sentence deployment note.

CHRIS HUNTER
16:28

Okay, so I’m using Opus 4.7, by the way. I. That’s just what I use on a daily basis. So I’m going to hit go on that thing. Let’s see what comes up.

JOHN CLENDENNING
16:36

And I love that idea of saying, hey, like, because you think about. Again, that’s going back to my Amazon conversation. If you can take what is frustrating that you fixed or what is slightly off what you. You fixed, but using the exact language that the, that the. The people in that marketplace are using when they. When they state these things. Right. So anywhere that you can get the voice of the customer and have that ingested into a knowledge base of some sort, that’s kind of what we’re doing here is we’re building it out and then using that as your speak back again.

JOHN CLENDENNING
17:11

Right? So you know, you got a customer that complains to you, fix that problem and then speak. Have your website and everything else in your marketing speak back to how you know, because you’ve now corrected it. Now you know that if there’s a legitimate concerns that have hit the marketplace, not from the, even the competitors, but from your own business that you’ve corrected, use that in your marketing because that was a real intelligence, you know, intel in the company that you can, you can solve for.

LAURA SUTHERLY
17:38

Absolutely.

CHRIS HUNTER
17:40

Yeah. So it came out with a couple of gaps, you know, three gaps, just like we told it to. The gap number one is the death by a thousand clicks. Right. Headline, stop hunting for buttons. Start sending campaigns. Right. This was based off of, you know, the information that it gathered, that perplexity gathered.

CHRIS HUNTER
17:59

Okay. Lost work and mid campaign glitches. Headline. Your campaign shouldn’t vanish when you hit save. All right, that’s very valid.

LAURA SUTHERLY
18:09

They’re very, very valid.

CHRIS HUNTER
18:11

Next one. Stealth Price hikes plus slow support. Headline is no surprise. Price hikes, no 48 hour support weights. Okay, so these are all pretty good. I could use, probably do some split testing on those as ads to run traffic to a landing page to see which one is actually working better. Right.

JOHN CLENDENNING
18:35

Yeah.

CHRIS HUNTER
18:37

Anyways, yeah, I think they came out pretty good. You know, me with Claude, I like Claude more than any other platform. But as you can see, we use all of them. Right.

LAURA SUTHERLY
18:50

Yeah.

CHRIS HUNTER
18:50

It’s not just one because each one have their, their specific things that they are good at. So perplexity to me is very good at, at, you know, the Internet, just like Gemini would be if, I mean Gemini is hooked up directly to Google. So it’s got all of Google’s information. So I could have easily have done that inside of Google or Gemini itself. Right. But coming over to a really good reasoning, LLM that really, really knows me well, that’s Claude. Okay.

JOHN CLENDENNING
19:21

Yeah.

CHRIS HUNTER
19:22

For me.

LAURA SUTHERLY
19:23

Yes.

CHRIS HUNTER
19:24

Now, since we have time, I’m going to take one more prompt here. I’m going to tie it all together. Okay.

LAURA SUTHERLY
19:31

And while you’re doing that, I think that as business owners we have to know that there are some what they call silent funnels, you know, so the churn, it, you know, a company that may have a lot of churn still can appear very dominant online. There’s going to be some objections that they’re able to handle online that may not be called out. So there obviously is painting a picture, but maybe not a complete picture, but it’s sure a stronger picture than what we’ve ever had in the past. And it is easy for small business owners to run prompts like you’re demonstrating here today and really get those insights as to what the gaps are.

CHRIS HUNTER
20:10

Exactly. Yeah.

JOHN CLENDENNING
20:11

And I’ll share a little way that we, we’ve. We teach our clients to in the coaching group at the end here just as a dovetail it together in a minute. But I’ll show you how we actually get our clients to mystery shop the competitors as well through this whole process or like in the coaching program to kind of try and fill in a few of those silent funnel gaps as well. Um, and because I used to do it my own businesses, how we could figure out what the other guys were doing in the behind the scenes because that’s where the magic happens as well, right? The, the stealth marketing that showed up not publicly in, in flyers and door hangers and, and ads, but privately in referral partners and you know, in community events and really. And stuff like that. And you got to get the bigger picture of what they’re doing. So.

LAURA SUTHERLY
21:00

So Chris, do you want to explain what. Yeah. This prompt.

CHRIS HUNTER
21:03

Yeah. Yeah. So this last prompt here basically says based on the same competitive intelligence, identify three content topics that ActiveCampaign is not addressing in their blog, social media or marketing. Right. So we’re filling those gaps in but their com their customers are clearly asking about based on the review and Reddit data for each topic. Write a working title for a blog post or YouTube video we could create create to capture their frustrated customers through search output 3 content gap topics with working titles immediately usable as a content calendar for icp which is ideal customer profile be agency clients. Okay so right. The topic one, the escape hatch Active campaign won’t build.

CHRIS HUNTER
21:50

Right. And the title is how to export everything from Active campaign in under an hour. Okay. That probably would be a good blog and probably would. Would be searched on quite a bit there. Right. Topic number two, the pricing math. Nobody publishes the true three year cost of ActiveCampaign why 49amonth becomes $300 plus.

CHRIS HUNTER
22:13

Right? As. As anyone who has experienced anything with them, I understand that pain right there as you started out at $50 and then all of a sudden you’re. You’re paying them a thousand dollars. Right. Topic number three, the glitch insurance policy title is how to back up your active campaign automations before the next glitch wipes them out. That’s not cool. So. Yeah, no, but anybody that’s that pain,

LAURA SUTHERLY
22:45

they’re gonna grab that.

CHRIS HUNTER
22:47

Yeah. 100 so the logic here, right? And it’s telling us which is cool. Topic number three catches the rage. The top of the funnel, right. ToF topic two makes them do the math, right? Middle of Funnel and Topic 1 hands them the door bottom of the funnel. Right. So it’s actually working backwards here. So that’s cool.

CHRIS HUNTER
23:10

I like that. Yeah.

JOHN CLENDENNING
23:13

All right, so try this. So let’s do, do one, do one thing on this now, now have, because you’re in Claude so it, I, I assume which are you in co work or are you just in cloud chat? Because what I’m going to say is,

CHRIS HUNTER
23:24

I mean just in chat. Yep.

JOHN CLENDENNING
23:25

Have it create a one page dossier that you could, you would hand off, you know, the CMO would hand off to the visit or the consultant would hand off of the raw data versus the synthesis. Just a one to two page final, you know, position report. Right. With some examples. Because as we know Claude can create these beautiful reports. Right. So if you can get a degree, create a report. I’ll share a little bit of what we, what we teach and we’ll just let me share the screen for a second and then as that’s running I think that would be at the end we can just kind of show what it, what it would look like as an output.

JOHN CLENDENNING
24:00

Does that work?

CHRIS HUNTER
24:01

Yep, yep.

JOHN CLENDENNING
24:02

Okay cool. So let me share my screen and I’ll just show you what this looks like in our practical world. So you guys see the screen. I run Blueprint for Success Growth coaching for home cleaning services on top of carpet clean and marketing masters. We do digital services and marketing services but we also coach people on how to become million dollar cleaning businesses. And one of the things we’re teaching in the coaching program is competitor Intel. Right. So it’s a couple modules ago but and what we, we got everybody to do is actually run a very similar prompt.

JOHN CLENDENNING
24:35

Right. So what it was was finding your competitors first who are know you might have that person that, that you, you hate, you’re pissed off with. We actually some of our, some of our coaching members came back and said you know what, these guys show up everywhere and when I reached out to them and called them and did, did my started to do some mystery shop competitive analysis on top of it like use AI to help find the competitors and find the gaps, but then actually create a mystery shop. So that’s what we did here is like you know, research sources to find you know, websites, Google Business reviews, FAQs, guarantee language, all of that stuff. Do not invent facts, separate hard evidence, do not overrate companies, all that and come back to me. Basically the first prompt in this chain was to find competitors. You could add one that you knew that you really wanted to target but really let the AI go and find who is legitimately the top dogs in the Marketplace, right. You might think you know who they are, but there is that.

JOHN CLENDENNING
25:34

We talked about that sort of like those hidden funnels, that stealth stuff. Let’s see if we can flesh that out a little bit more in the marketplace. And then we had them validate that. So it’s always good. Like Chris just did there, put a second prompt in to go, okay, now go a little bit deeper, go a little bit tighter, right? So when you’re prompting, always say, cool, try harder, right? That’s how the kind of the way to think about it, we give them these nice long deep prompts for the, for our coaching members. They just go copy paste into their, into their prompt chain inside a folder, trained on their basic, we call it basic company blueprint, but it’s your master prompt. So trained on your master prompt, put it in the folder, have a new thread, start doing this stuff. It knows all about you already.

JOHN CLENDENNING
26:15

You don’t have to teach it that kind of stuff, right? So if you’re doing it yourself, these are kinds of the things, the way they, they come together. And then we actually had it create a natural buyer call script. So, and even to the point where I used to do it, my company, I would have people I knew hire in a competitor to go to do a job. And I paid the bill, right? If there was somebody I was worried about was starting to get better than us at something, speak better than us, learn from us. Like we had people like modeling our guarantees and modeling our scripts because I just wanted to lead the marketplace with everything we did. And we started hearing that mystery shopping. You know, we tried to do it every six to nine to 12 months kind of idea, but over the, the 28, 29 years I own the businesses, we would do that. And so we would actually, from time to time, maybe every couple of years, pay for a competitor to come in and do a service.

JOHN CLENDENNING
27:09

And we wanted to know everything that was said, everything that was done, all that because we wanted to know what was really happening in the marketplace, right? So, so that was how we did and then basically find the positioning gaps. Once you do all of that, then we just basically said, okay, cool, now let’s start finding, you know, the, the study the marketing material do and find the positioning gaps, the pricing differences of the top dogs, the high end, the offer structures, the guarantees, the trust building that they do versus us and all of that so that we can now be the market leader wherever you want to fit that in your brain. To me, you know, the market leader has, you know, isn’t the Cheapest, the commoditized business. It is the premium service provider at a reasonable price. Right? So you can lead the market in price and have a top tier pric. But you also you, because your ideal client lives on golf course road, if that’s who you’re targeting, for example, but differentiators and stuff. And now you take all of this and then in our bonus prompt, it’s like, cool. Now let’s build my marketing material around that.

JOHN CLENDENNING
28:13

Let me, let me create headlines and copies and stuff like we just did with Chris. So if you think about it in that way, this is just a prompt chain way of doing it. But it’s kind of what we just did is start with something. Take, take that something. Put it into the next, then go. Okay, go a little bit deeper. Do a little bit more. Let’s grab some more.

JOHN CLENDENNING
28:31

Okay, now what can I do with this? Here’s my pricing model. Here’s how we answer the phones. Here’s how we market this. How could we change our marketing to fill that gap that we just found, that gap in the marketplace? What can we do to be more strategic than our competitors and stand out better?

LAURA SUTHERLY
28:47

I tell you what, if our listeners aren’t watching their computers, that’s where they might need to go next. Because what you just shared, John, was extremely valuable. And I know, Chris, as we’re getting closer to the end of this episode, you have another thing to show them. With what you were running so exciting times, 100%.

CHRIS HUNTER
29:07

And it really all comes down to, you know, not being tied to one specific tool. Right. If you’re, if you’re a professional in the marketing industry, you should have multiple tools in your tool belt. Right. And as we all do. But what I wanted to show you is two things. First, this is the output that it created for us, right. Based off of my really simple prompt, create a onepage dossier that you can hand off to a CEO as a final report with examples.

CHRIS HUNTER
29:42

Okay, so that’s basically what it all came up with. Yeah.

JOHN CLENDENNING
29:46

Super clean. I didn’t match the one page. You try that in chat GPT and your one page is seven pages and you go, why did you give me seven pages? Oh, I’m so sorry. Let me try again. Then it gives you nine, so. Exactly. So way to go, Claude.

CHRIS HUNTER
30:01

Yeah. Right. Okay, so the other thing that I wanted to show you guys is I, before this, had it do the same kind of a thing inside of Manus. I love manuscript because Manus is a very good tool for competitive analysis to begin with, you you give it a very basic prompt and it can go off and, and do it. So it, it, I gave it a very simple, simple prompt. Let me go back up here. And, and I did this beforehand instead of doing it, you know, during this. Simply because we have.

CHRIS HUNTER
30:41

Well, it’ll, it’ll take a while, right, because it is, it’s more of an agentic platform. Right. And if you don’t know Manus, it’s, it’s, it’s not new. It’s been around for a while. It was one of the first agentic type platforms out there and I’ve been using it probably two years at this point. They were just recently purchased from Facebook. That’s now being contested in China and, and there’s this whole thing going on there. Right.

CHRIS HUNTER
31:12

But anyways, it’s built right into Facebook. Nowadays when you go to Facebook there’s a Manus button right there. So it’ll take you right to it. Okay. So I told it I have a new. Oops, I said it twice. I have a new email marketing SaaS company called eSendr. Right.

CHRIS HUNTER
31:31

And I would like to do a competitive analysis of activecampaign. Please do a competitive analysis of activecampaign. Tell me what channels are strongest in what their offers are, what ads they are running and how I can beat them in online marketing compared to what we just put in. Right? That’s a very, very basic prompt. Okay. Not as basic as the first one that we started with, but anyways, where it came out with was this whole. A bunch of really good information. Like if I actually did have this SaaS, this would be juicy information for me to go.

CHRIS HUNTER
32:02

Oh okay. And I might already know what their plans are. 1549, 79, $145 levels. You know, I might already know that. But what ads are they running right on Google? What? I didn’t even tell it where to go. Right?

JOHN CLENDENNING
32:17

Yeah.

CHRIS HUNTER
32:17

Google, Facebook. It went to both of those places. Three biggest vulnerabilities that I can exploit and how send our E Sendar beats them. Right. It doesn’t even know anything about my company. I completely made that up and pulled it out of the air. If you do take that or if that, that is the name of your company, I apologize in advance. That was a completely made up.

CHRIS HUNTER
32:42

Yeah, right. But then it creates this cool, you know, report automatically with pretty much every output that it creates. It creates a report for you, right? And you can download it as Markdown, PDF or Doc. You can send it directly into your Google Drive or in my case since I’VE got, you know, one drive, either personal or work. I’ve got them both hooked up here. So.

JOHN CLENDENNING
33:07

And that’s just a really good example of just, just for the listeners, if they’re not really sure what agentic means or they kind of get an idea. This is a really good case study of what agentic means. It’s kind of considered like a level three thinking that Dan Martell talks about or AI. Because what you do is you give it the goal, the outcome, and you say, basically, go figure it out. And it’s not one chat that’s doing it. It spins like it goes, okay, how would I research this? What would I care about the most? Who would I. And it spins up separate agents, it spins up ideas all in the background. You don’t have to think it through.

JOHN CLENDENNING
33:42

So it could go down rabbit holes, but it tends to self correct as well, a lot better. And this is sort of the direction AI is going in general. And yeah, Manus was like the first on the scene with that. That’s what Cowork is doing and, and that kind of thing as well, trying to be. Be that agentic. But it’s where it basically says, okay, let me just, let me just figure out how. What do I have to know to figure this out? Let me go find that. Okay, now let me build the plan to figure this out.

JOHN CLENDENNING
34:08

Now let me double check my plan. And all of that’s happening in the background in these tiny little. You can see like, little sort of like, hey, here’s what I did. Next, next, next. And it’s kind of cool that you can just walk away, come back and be like 95, 99 of the way there. And if it drifted a little bit to say, nope, I want this more, more like this than that. Walk away again, go have lunch. And it’s, oh, okay, let me.

JOHN CLENDENNING
34:29

Yeah, that’s good input. Let me rethink a little bit more. And so agentic flow is really cool.

LAURA SUTHERLY
34:34

Absolutely. It really does help business owners be more of a director versus sitting there and taking that much more time checking the boxes, saying, did this research or did this element or did this aspect get completed? They’re able to see it.

CHRIS HUNTER
34:50

So when you were talking there, John, I clicked a little button. There’s a. On every output with Manus, there’s a little button that. Down at the bottom, create a website out of this. Right. So I just went ahead and did it and it’s. It’s in the background just working away, building an entire website. Right.

CHRIS HUNTER
35:11

And the cool part about that is that you can then share it out. Right. With whoever that you want to share it out with, you know, whether that’s the world or your internal team. I did the same thing, by the way. I did the same thing. My. My son just. He’s about to graduate high school and going off to college.

CHRIS HUNTER
35:32

He’s an Eagle Scout, so I created a report for him with all of these scholarships for Eagle Scouts. Like, there were a hundred of them that it found.

JOHN CLENDENNING
35:41

Right.

CHRIS HUNTER
35:42

That he could go out and links to where he needs to go to apply for those things. Right. So there’s all sorts of really cool things. That man is. That was a very practical use. Yeah, absolutely.

LAURA SUTHERLY
35:54

For me, while this is working on it, I know we’re almost up with time, but a shower, a bridal shower that I needed to do, or I’m trying to coordinate for my daughter, that’s what I created so that all the members involved can go to the website and claim what tasks they’re able to do for the bridal shower. So it made it quite clear.

JOHN CLENDENNING
36:16

Yeah. Remember how that was apps and stuff like that? There was gifter app, like, hey, all the whole family get on gifter app and who. What gifts. You want all this? Because nowadays, again, I think the world of apps is going to slowly fade away because it’s like, hey, can you just create me a page? Blah, blah, blah. My family can jump on and do this and do this, and there it’s done. You know, I mean, it’s like we’re getting to that point where it’s. All of these tools are just allowing you to build that custom thing that you want if you know how to kind of get it started.

CHRIS HUNTER
36:42

Yeah. And we might run out of time here. You don’t need to see the whole thing, but it’s basically going to create an entire website out of this. Now, before we jump off, I wanted to mention something here, is that all of these prompts that we’ve been talking about, right. One of the things that you can do with this inside of Claude, inside of Perplexity, inside of even Manus now, right. You. You can create skills based off of those prompts. So, so I share.

CHRIS HUNTER
37:11

Shared with you the prompts that we used on this use case, John has a whole bunch of those prompts that he was using for his local folks there that he’s working with. Right. Or the cleaning folks that. That he’s working with, you could create skills out of those. And. And it creates a repeatable process that you can use over and over and over again. So you don’t have to. All of this copying and pasting is going away.

JOHN CLENDENNING
37:37

Okay.

CHRIS HUNTER
37:38

So, you know, it’s real super easy to do it, you know, in every platform to create a skill out of everything that you just did. Right. So if you find yourself doing something copying and pasting prompts over and over and over again, just create a skill out of it. Right. And use it. Use that skill next time.

LAURA SUTHERLY
37:57

And that can be as simple as asking convert this to a skill or create a skill from this. It’ll walk you through depending on the platform and then to call those out, it’s usually just a forward slash that you’re going to be able to. If you’ve named your skill.

JOHN CLENDENNING
38:10

Yeah, Y.

CHRIS HUNTER
38:11

It’s still working here. It might take another 10 minutes or so. Right. And we’re not going to, you know, waste our time on. On that actually.

JOHN CLENDENNING
38:21

Join the Amy, Join the Amy Insider community. You’ll get the show notes, these prompts, all that kind of stuff. Christine will in. In the background are. We’ll. We’ll be handling getting that all together. So if you join the. The private community, it’s free.

JOHN CLENDENNING
38:37

Jump in and if there’s a link to an output or we can of the. Of the actual web page, when it’s done, we’ll put a link or at least a PDF or a graphic so you guys get to see what it actually turned out to look like.

CHRIS HUNTER
38:50

Yep. Well, I’m not going to wait around, so thank you all so much. This was, this was fun sharing kind of some. A few of our, our things that we have in our belt, our tool belt for AI marketing experts. Any final thoughts on anything there, Laura or John?

LAURA SUTHERLY
39:07

I say try it. It’s amazing. And again, that just increases your comfort zone. I know a lot of our episodes we go very high level on some things or deep dive. This one’s very practical. Easy to copy and paste, easy to see what the competition is doing in your industry.

CHRIS HUNTER
39:24

Yeah, very good. All right, well, until next time, make sure, like John says, make sure that you share like comment, whatever, all down below here where whatever platform that you are on, make sure that you join us in our community that we are currently building up. Right. So it’s free. Come on in, get the show notes, get everything from this episode.

JOHN CLENDENNING
39:48

Take care, everybody.

CHRIS HUNTER
39:49

Y’ all take care.

[00:0001:30] AI competitive analysis intro

[01:3102:46] Why guessing hurts your business strategy

[02:4704:58] Digital marketing and competitor research for business owners

[04:5907:12] ChatGPT competitor research and basic AI prompts

[07:1309:18] Better AI prompts for stronger insights

[09:1911:46] Using Perplexity AI for deeper research

[11:4714:33] Reviews, Reddit, pricing, and customer sentiment

[14:3418:48] Claude AI for positioning gaps and campaign ideas

[18:4921:09] Hidden funnels, churn, and business opportunities

[21:1023:18] AI tools for content gap analysis

[23:1928:54] Local business competitive analysis and mystery shopping

[28:5530:34] Creating an AI competitor intelligence report

[30:3536:49] Manus AI and agentic competitive analysis

[36:5038:04] Turning AI prompts into reusable skills

[38:0539:58] AI tools, digital marketing, and final takeaways

In today’s episode, we show how small business owners, marketers, agencies, and teams can use AI tools like Perplexity, ChatGPT, Claude, and Manus to research competitors faster and make smarter marketing decisions.

You’ll see how basic AI prompts give generic answers, while stronger prompt chains can uncover real customer complaints, pricing gaps, Reddit discussions, reviews, positioning opportunities, and content ideas.

This is a practical AI competitive analysis walkthrough for anyone using AI in business, digital marketing, local marketing, SaaS, or agency strategy.

What You’ll Learn:

How AI can improve competitive analysis
Why basic ChatGPT prompts are not enough
How to use Perplexity AI for deeper competitor research
How Claude turns raw research into marketing strategy
How to find customer complaints, pricing gaps, and review insights
How to turn competitor weaknesses into ads and content ideas
How Manus can create deeper AI research reports
Why reusable AI prompts can become business systems

Perplexity AI
ChatGPT
Claude
Manus
Gemini
OpenAI
Anthropic

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