How to analyze competitor reviews with AI
Your competitors' reviews tell you what their customers are unhappy about, what they praise, and which promises they fail to keep. Reading them by hand takes hours. With an AI tool such as Claude or ChatGPT and a data source for public reviews, you can pull reviews from several competitors at once and get a clear comparison in a few minutes.
What competitor review analysis gives you
- The complaints you can win on. If a competitor's unhappy customers keep mentioning billing or slow support, that is a message for your landing page and sales calls.
- The praise you need to match. What their happy customers mention is what buyers expect from you too.
- Words customers actually use. Review text is a ready source of phrases for ads, headlines and FAQs.
- A baseline to watch. Running the same check every month shows whether a competitor is getting better or worse.
Where to get competitor reviews
Swipe to see more columns →
| Source | Best for | About 100 reviews |
|---|---|---|
| Trustpilot | Company and service reputation, B2B and consumer | $0.14 |
| G2 | B2B software | $1.20 |
| Capterra | B2B software | $0.44 |
| App Store | Mobile apps | $0.03 |
| Google Maps | Local businesses, shops, restaurants, clinics | $0.02 |
| Amazon | Physical products | $0.27 |
| Reddit comments | Unprompted opinions that never reach a review site | $0.003 per call |
Live rates are on the pricing page. Your AI shows the price before every run.
Worked example: Pipedrive and HubSpot on Trustpilot
We asked an AI tool for the 35 most recent English Trustpilot reviews of two CRM companies, Pipedrive and HubSpot. The run returned 70 reviews published between 31 July and 27 October 2026 and cost $0.099 ($0.015 run fee + 70 × $0.0012).
What came back for each company
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| Pipedrive | HubSpot | |
|---|---|---|
| Trustpilot score (whole page) | 4.4 from 3,470 reviews | 1.5 from 1,175 reviews |
| 4–5 stars in our 35 | 25 | 2 |
| 1–2 stars in our 35 | 10 | 32 |
| Reviews with a company reply | 35 of 35 | 0 of 35 |
Main themes in the 1–2 star reviews
We tagged each low-rated review by theme. A review can have more than one theme, and the counts are rough.
Swipe to see more columns →
| Theme | Pipedrive (10 reviews) | HubSpot (32 reviews) |
|---|---|---|
| Slow or unhelpful support | 7 | 20 |
| Billing, renewals, cancelling | 6 | 17 |
| Price increases and upselling | 3 | 15 |
| Onboarding and setup | 3 | 9 |
| Locked accounts or lost data | 1 | 8 |
| Interface changes | 2 | 5 |
What a marketer could take from this sample
- For both companies, the loudest complaints are about the relationship, not the product: support, renewals and getting out of a contract. A competitor in this market can lead with clear month-to-month terms and easy cancelling.
- 21 of Pipedrive's 25 five-star reviews are about a support or onboarding session, often naming the person who helped. Praise in this category is about people, so hands-on onboarding is worth showing.
- Pipedrive replied to every review in the sample; HubSpot replied to none. Reply rate is easy to track and says something about how a company treats its public reputation.
Read the numbers with care. Trustpilot reviews are self-selected: unhappy customers are more likely to write, and some companies invite reviews after support calls. 35 reviews per company is a snapshot of the last three months, not a market survey. Use it to find themes, then check them against other sources such as G2 or Reddit.
How to do it yourself
- Create an account at prolevelmax.com. New users get $2: $1 for verifying your email and $1 for your first data (once per person). No card required.
- Connect your AI. Generate your setup message in Get started in the console and send it to your AI, or add
https://prolevelmax.com/mcpas an MCP server. Step-by-step setup is in How to give your AI real-time social media data. - List your competitors and where their customers leave reviews: website domains for Trustpilot, app names for the App Store, product pages for Amazon or G2.
- Ask in plain words. The AI picks the source, shows you the price, and runs it after you agree.
- Ask for the comparison you need, then download the reviews as CSV or Excel if you want to keep them.
Prompts to copy
Get the 50 most recent English Trustpilot reviews for competitor-a.com and competitor-b.com.
Group the 1–2 star reviews by theme, count each theme per company, and quote one short example for each.Pull the latest 200 App Store reviews for [App A] and [App B] in the US.
What do 5-star reviewers praise that 1-star reviewers say is missing?Compare G2 reviews for [Product A], [Product B] and our product, [Product C].
Give me a table of the top 3 strengths and top 3 complaints for each, and suggest 3 messages for our landing page.Every month on the 1st, pull new Trustpilot reviews for these 3 competitors and tell me what changed since last month.
Show me the price of each run first.Limits
- Public reviews only. Private feedback, support tickets and anything behind a login are not collected.
- Ratings and review counts are what the site shows at the moment of the request.
- The AI's theme counts depend on how you ask. For decisions that matter, ask it to quote the reviews behind each theme and check a few yourself.
Related
- Amazon review analysis with AI
- Google Maps reviews with AI
- Brand24 alternatives for people who already use AI
- How to monitor brand mentions on Reddit and TikTok with ChatGPT or Claude
- How to give your AI real-time social media data
FAQ
What is competitor review analysis?
Reading and grouping the public reviews of competing products or companies to find what their customers like, dislike and expect. It is a quick form of voice-of-customer research that does not need access to the competitor's own data.
Which review sites should I use?
The ones your buyers read. For B2B software that is usually G2, Capterra and Trustpilot; for apps, the App Store and Google Play; for local businesses, Google Maps; for physical products, Amazon. Reddit and TikTok comments add opinions that never reach a review site.
How many reviews do I need?
30–50 recent reviews per competitor are usually enough to see the main themes. Use a few hundred if you want to compare periods or count themes more reliably.
Do I need a subscription?
No. You top up a balance and pay per run. The example above cost $0.099.
Can I do this in ChatGPT?
Yes. Any AI tool that supports MCP or Skills can run it, including ChatGPT, Claude, Cursor and Codex.