Reputation management that works before the first conversation
Most reputation services exist to clean up after something has gone wrong. This one is built to stop that being necessary. We help businesses build the review activity, listing accuracy and public trust signals that decide whether a buyer contacts you, chooses a competitor, or never sees you in the first place.
The signals buyers see first
Review activity
The volume, recency and consistency buyers use as proof.
Listing accuracy
Consistent business information wherever customers look.
Public trust signals
The proof that helps buyers choose you before they make contact.
Reputation is built before the enquiry — not after the complaint.
The problem this solves
By the time someone reaches your website, they have already formed an opinion. They have seen your search results, your reviews, your ratings, and increasingly a summary written by an AI assistant that drew on all three.
You will recognise the situation if:
Your reviews are good but there are not many, and the recent ones are old.
Different platforms show different information about your business.
Negative reviews sit unanswered because nobody owns the task.
You are recommended less often than competitors who are not better than you.
An AI assistant describes your business inaccurately, or does not mention it at all.
You have locations or branches where quality varies and head office cannot see it.
What reputation management actually involves
Review generation
Getting satisfied customers to leave reviews consistently, rather than sporadically after someone remembers to ask. This is a systems problem: the request has to reach the right customer at the right moment, through the channel they actually use.
Review response
Replying to reviews, positive and negative, in a way that reads as a real person rather than a template. Response rates across most industries are low, which means doing this well is unusually visible.
Reputation monitoring
Watching what is being said about the business across review platforms, social channels, forums and search results, so problems surface while they are still small.
Listings and profile accuracy
Making sure your business information is correct and identical everywhere it appears. Inconsistent details do more damage than most owners realise, because they undermine the confidence of both people and the systems that recommend you.
Negative review and complaint handling
A defined process for responding to criticism: what gets a public reply, what moves to private resolution, what gets escalated, and what gets reported when a review breaches platform rules.
Brand sentiment and trust signals
The wider picture. What people say when they are not writing a review. Third-party mentions, forum discussions, and the content that shapes how your business is described by others.
Why this matters more than it used to
Search is no longer the only route to a recommendation. People ask AI assistants which company to use, and those systems weigh review volume, recency, ratings and sentiment heavily when deciding what to suggest.
That has a practical consequence. A business can have excellent search rankings and still be passed over, because the assistant summarising the options found thin or stale reviews. Reputation is no longer a defensive activity that sits alongside marketing. It is part of how you get discovered.
Two gaps make this worth acting on now:
Most businesses do not respond to reviews.
The reply rate across most sectors is very low, so consistent responses stand out quickly.
Most review profiles are dormant.
A business with fifty reviews, none from this year, reads as a business that has stopped.
Reputation is no longer just protection after something goes wrong. It is part of the system that determines whether your business gets chosen in the first place.
How we work
Audit
We look at what a buyer actually sees: your reviews across every platform, your ratings, your response rate, your listing accuracy, and how AI assistants currently describe you. You get the findings whether or not you go ahead.
Baseline
We record where things stand before we change anything: review count, average rating, review recency, response rate, listing consistency, and citation rate across the major AI assistants. Without this, improvement is a claim rather than a measurement.
Fix the record
Correcting inaccurate listings, claiming unclaimed profiles, resolving duplicates, and responding to the backlog of reviews that never got a reply.
Build the system
Setting up the review request process so it runs continuously rather than in bursts, with the response workflow agreed and owned.
Monitor and report
Ongoing monitoring, response, and reporting against the baseline. Where reputation work affects visibility, we show that alongside your search and AI citation data.
How we measure it
Reputation work is often sold without any way to judge it. These are the numbers we report:
Review volume
Review volume and rate of new reviews.
Average rating
Average rating, and its direction over time.
Review recency
Review recency, which affects both buyer confidence and AI recommendations.
Response performance
Response rate and average response time.
Listing consistency
Listing accuracy and consistency across platforms.
AI citation rate
Citation rate across major AI assistants, measured against a defined set of the questions your buyers actually ask.
Enquiries and revenue
Where your systems allow it, enquiries and revenue traced back to review platforms.
Who this works best for
Multi-location businesses and franchises
Consistency across many locations is an operations problem, and reputation is usually where it shows first.
Professional and expert-led firms
Where the reputation offline is strong and the online record does not reflect it.
Service businesses that depend on being chosen locally
Where reviews are effectively the shortlist.
Any business selling into markets where nobody has met them
Trust has to be established before contact, not during it.
Common questions
01 Is this the same as removing bad reviews?
No. Legitimate reviews cannot be removed, and any agency claiming otherwise is describing something you should avoid. We can report reviews that breach a platform’s rules, and we can respond to criticism well. The larger part of the work is making sure genuine positive experiences get recorded, so a single bad review carries less weight.
02 How long before this makes a difference?
Listing corrections and response work show within weeks. Building meaningful review volume takes a few months, because it depends on your customer cycle. Changes in how AI assistants describe you tend to follow review and mention activity rather than lead it.
03 Do we need software for this?
Some form of review request and monitoring tooling makes the work sustainable.
[STATE — whether you provide this, resell it, or work with the client’s existing tools, and how it is billed.]04 Can you manage this across multiple countries or languages?
Yes.
[SPECIFY — the platforms and languages you can genuinely cover. Do not claim coverage you do not have.]Review platforms differ by market, so the first step is establishing which ones actually matter where you sell.
05 Who writes the review responses?
Responses are drafted by our team and follow a tone and escalation policy agreed with you. Anything sensitive comes to you before it is published.
06 What if we already have a bad reputation?
That is a different piece of work and we would say so on the call. Repair takes longer than maintenance and the honest answer depends on what is actually out there. The audit will tell us both.