Asset 20 8 2
Does AI recommend your business? Run the free check →

Join 15,000 business owners, marketers and entrepreneurs. The Sunday newsletter you'll be annoyed only arrives once a week.

Article

ChatGPT Prompts for Competitor Analysis

If you are skim reading
The short version: ChatGPT can speed up competitor analysis if you feed it specifics (URLs, pricing pages, reviews, ad copy) rather than asking it to "analyse my competitors" from thin air.

The short version: ChatGPT can speed up competitor analysis if you feed it specifics (URLs, pricing pages, reviews, ad copy) rather than asking it to "analyse my competitors" from thin air. The prompts below are built to extract positioning gaps, pricing tells, and messaging weaknesses you can use in your own marketing within the hour. It will not do your research for you, it will organise and sharpen research you still have to go and fetch.

Why most people get competitor analysis prompts wrong

Here is the uncomfortable bit nobody wants to say out loud: ChatGPT does not know what your competitors are doing right now. It was not sent their latest email campaign. It did not read their Trustpilot reviews this morning. If you type "analyse my top 3 competitors in the UK coaching industry" with no further input, you'll get a plausible-sounding, generic answer built on training data patterns, not on what those three businesses are doing in 2026.

So the first rule, before any prompt, is this: you bring the raw material, ChatGPT does the thinking with it. Copy in the competitor's homepage text, their pricing page, five of their LinkedIn posts, a chunk of their reviews. Then prompt. Without that, you're paying for confident guesswork.

The prompts that work (and what to paste in first)

Each of these assumes you've pasted something real alongside the prompt, not just a company name.

1. Positioning gap finder

"Here is the homepage copy from [Competitor A], [Competitor B] and [Competitor C]. Here is my homepage copy. Compare how each of us describes who we're for, what problem we solve, and what makes us different. Tell me where all three competitors sound the same, and where there's a gap nobody is claiming."

This is the one most people skip, and it's the most useful. If all four of you say "we help businesses grow faster," ChatGPT will flag that instantly, and that's your opening.

2. Pricing page translator

"Paste below are the pricing pages of three competitors. Summarise their pricing tiers, what's included at each level, and any hidden costs or upsells you can spot. Then tell me where my pricing sits relative to theirs and whether my positioning as [premium/mid-market/budget] matches my price."

Say you run a project management SaaS charging $29 a month. If ChatGPT comes back showing two competitors at $19 with more features included, that's not a reason to panic, but it is a reason to check your messaging is earning that gap.

3. Review mining for weaknesses

"Here are 40 one and two-star reviews from [Competitor]'s Trustpilot page. Group the complaints into themes. For each theme, tell me how often it comes up and suggest one line of marketing copy I could use that directly addresses that gap without naming them."

This is where the real gold sits. Competitors rarely tell you their weaknesses, but their unhappy customers do it for free, in public, in their own words.

4. Ad and messaging teardown

"Here are screenshots and transcripts of five LinkedIn or Meta ads from [Competitor]. Tell me what pain point, offer and call to action each one is built around. What pattern runs through all five? What audience are they clearly targeting?"

If you want to go further with this, pair it with Grok prompts for pulling live X posts and research since Grok has access to real-time content that ChatGPT often doesn't.

5. The "what would I do if I ran them" prompt

"Based on everything above about [Competitor], if you were their head of marketing, what's the one move you'd make next quarter to win more market share? Now tell me how I'd beat that move before they make it."

This one forces ChatGPT out of description mode and into strategy mode, which is where most competitor analysis falls flat.

Work with me

Want AI doing the heavy lifting in your marketing?

I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.

A worked example: the online course seller

Say you run a cohort-based course on public speaking, priced at £497. You've got three obvious competitors: one at £297 with a self-paced model, one at £997 with live coaching, and one at £397 that bundles in a community membership.

You paste their sales pages into ChatGPT and run the positioning gap prompt. It comes back showing all three competitors lead with "become a confident speaker in 30 days." None of them mention what happens after day 30. You run the review mining prompt on the £297 self-paced option and find 11 of 40 negative reviews mention "felt alone, no accountability."

That's two usable facts from twenty minutes of work: a messaging gap (nobody owns the "after" period) and a specific unmet need (accountability). Your next email subject line writes itself: "What happens after day 30 (the bit nobody tells you)." That's the kind of output worth having, and it only existed because you fed ChatGPT real material rather than asking it to invent competitors from memory.

Step by step: a 45-minute competitor audit

  • Minute 0 to 10: Pull homepage copy, pricing page and about page text from three competitors. Paste as plain text, not screenshots.
  • Minute 10 to 15: Run the positioning gap prompt.
  • Minute 15 to 25: Find 15 to 20 reviews per competitor (Trustpilot, Google, G2, App Store) and run the review mining prompt.
  • Minute 25 to 35: Grab three to five recent ads or LinkedIn posts per competitor and run the messaging teardown prompt.
  • Minute 35 to 45: Run the "what would I do if I ran them" prompt using everything above as context, then write down three concrete actions, not insights, actions.

Three competitors, under an hour, and you come out with messaging you can test this week rather than a 20-page PDF nobody reads twice.

Where this fits with the rest of your marketing

Competitor analysis is only worth doing if it changes what you publish. Feed what you find straight into your next marketing plan, use the pricing and positioning gaps when you're writing LinkedIn posts that quietly address what your competitors aren't, and if you're producing content at scale, run the same insights through your SEO blog briefs so the gaps show up in your search content too. If your role sits across sales, product and marketing, the broader prompts by job list has variations worth adapting.

If you're doing this regularly across a whole category rather than three rivals, and you want it built into an actual repeatable system rather than a one-off exercise, that's the kind of thing worth bringing in real help for. An AI consultant for small business can set up the workflow once so your team isn't starting from a blank prompt every quarter.

What ChatGPT cannot do here

It cannot browse a competitor's live site unless you're using a version with active browsing switched on, and even then it often misses dynamic pricing or gated content. It cannot tell you their actual revenue, ad spend or conversion rates, despite sometimes answering as if it can, it is guessing from public patterns. And it will not flag when a competitor has quietly shut down a product line or pivoted unless you tell it. Treat every output as a draft built from what you gave it, not an independent investigation. If you want a wider sense of which free tools can supplement this kind of research, the free AI chat tools comparison is worth a look, several of them handle live data better than ChatGPT does out of the box.

Frequently asked questions

Can ChatGPT find my competitors for me?

It can suggest likely competitors based on your industry description, but it won't know the current market with any accuracy. Name your own competitors and give ChatGPT their actual content to work with rather than asking it to identify them cold.

How many competitors should I analyse at once?

Three is the sweet spot. Enough to spot patterns and gaps, few enough that you can read everything ChatGPT gives back and act on it within a day.

Is this a replacement for real market research?

No. It's a way to process research faster once you've gathered it. The homepage text, reviews and ads still have to come from somewhere real, ChatGPT organises and interprets, it doesn't collect.

How often should I run a competitor analysis like this?

Quarterly for most small businesses, monthly if you're in a fast-moving space like SaaS or ecommerce where pricing and ad messaging shift often. Set a recurring calendar reminder, it's the step people skip once the novelty wears off.

Run a business, a brand or a blog? I feature tools, products and expert guest posts for an audience of 15,000. See how it works

Published and maintained by the Lilach Bullock team, covering marketing, AI and business growth.
Your buyers are asking AI who to use. Does it say you?

See for free whether ChatGPT, Claude, Perplexity, Gemini and Google name you, and get the plan to become the answer.

Check my AI visibility →
Sundays only

Get the Sunday newsletter.

One email a week. AI experiments, marketing tactics, and the workflows Lilach is building right now in her own business.

Subscribe free

Let’s get your marketing running on AI.

Book a free 30-minute call

We figure out what you need, where AI fits in, and what working together would look like.

Book the call →

Or take the 30-second calculator

You’ll see the hours and the money quietly leaking out of your week, and the three workflows worth building first.

Take the calculator →

Or grab the free AI resource library

Prompt packs, templates, checklists, and swipe files. The exact tools I build for paying clients. Yours, free.

Get the library →
Keep reading

More from the blog.