As of 13 August 2026, AI can only partly compare your business reviews with UK competitors.

Most people should hand this to a purpose-built tool.

Can you do it?

5 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ityou

What the alternative costsThe supplied tool data gives no price for a human market researcher or a comparable review-analysis service.

If this goes wrong: you compare unlike businesses or stale reviews and make a marketing decision that wastes budget or damages your positioning.

What to actually do

Use a tool built for this
The route this page recommends
One pick for this task
Polymer
Polymer turns spreadsheet data into dashboards and insights without setup, which fits a structured comparison of exported review data, but it does not remove the need to gather or validate competitor reviews.

Do it yourself

Second choice

A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

How to actually do it

Open your review platforms and export or copy your business reviews with the text, rating, date and source link where available.
Choose UK competitors that serve a similar customer, location and service range, then record those differences before collecting their public reviews.
Paste the business details, review periods and competitor details into the prompt, and upload or paste the review data after removing customer names, contact details and order references.
Run the prompt in a chatbot and ask it to keep separate tables for each platform and review period rather than combining unlike data.
Open the source links and compare the report's quoted reviews, dates, ratings and counts against the live pages or your exports, correcting any mismatch in the report.
Ask a colleague who knows your market to challenge whether the competitors are genuinely comparable, then turn only the repeated, verified themes into marketing actions.

Prompt

Compare my business reviews with the UK competitor reviews provided below. Use only the supplied data and linked sources, and say when evidence is missing. Do not invent reviews, ratings, dates, customer details or competitor facts. First standardise the comparison by recording each business's sector, location, review platform, review period, review count and rating where supplied. Then produce: 1) a table of the available metrics, 2) the five most common positive themes for my business and each competitor, 3) the five most common negative themes, 4) themes where my business appears stronger or weaker, quoting short review excerpts with the source and date, 5) important differences in the businesses or data that make the comparison unfair, and 6) three practical marketing actions based only on repeated evidence. Separate direct evidence from interpretation. Do not treat review volume or rating as proof of service quality. Flag possible duplicate, incentivised, irrelevant or unverifiable reviews. Keep customer names, contact details, order numbers and other personal data out of the report. Finish with a list of every claim I should verify manually before using the findings.

My business details:
[BUSINESS NAME, SECTOR, UK LOCATION, SERVICES, REVIEW PERIOD]

My review data:
[PASTE OR UPLOAD REVIEWS AND SOURCE LINKS]

UK competitor details:
[COMPETITOR NAMES, SECTOR, LOCATIONS, SERVICES, REVIEW PERIODS]

Competitor review data and source links:
[PASTE OR UPLOAD REVIEWS AND LINKS]

Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

Hand it to a person
The distant third
A person who owns the outcome does this end to end, worth it when the failure is dear.

What it gets wrong

AI cannot reliably obtain a complete, current and comparable set of competitor reviews without the data and source links you provide.
It cannot tell whether a competitor is genuinely comparable when differences in location, price, service or customer mix are not recorded.
It cannot prove that repeated review themes represent overall customer experience rather than the people who chose to post reviews.
It cannot decide which weakness is commercially important for your business or which marketing response fits your brand.
It can misread sarcasm, local references and ambiguous complaints, so important quotations need checking against the original review.

What caps this at PARTLY: private data access, real time truth and judgement under ambiguity.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

Axis	Score (0–2)
Output	2
Inputs	1
Verification	1
Liability	2
Effort delta	1
Total	7 / 10

The methodology and its thresholds are published in full.

FAQ

Can ChatGPT compare my reviews with competitors?: Yes, if you provide the review text, dates, ratings and source links for your business and suitable UK competitors. It can organise themes and differences, but it cannot fetch a complete or reliably comparable competitor dataset for you.
Can AI analyse Google reviews?: It can analyse review data that you lawfully export or paste into it. Check the platform's terms and remove customer names, contact details and order references before uploading anything.
How do I benchmark my business reviews against competitors?: Compare businesses with similar services, locations, customer types and review periods, then keep review platforms and measures separate. Use AI to group recurring themes, but verify every quoted review, count and source before using the findings.
Is AI review analysis accurate?: It is useful for sorting and summarising supplied reviews, but it can miss sarcasm, misclassify complaints and present unlike competitors as comparable. Treat its findings as a research draft and check the underlying reviews and business context yourself.

Nearby answers

All Market research rulings

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

The newsletter

AI news, new answers and product picks, straight to your inbox.