Online reputation management (ORM) is the ongoing work of monitoring, shaping, and responding to what people find when they look a business up online: its reviews, its search results, its social mentions, and increasingly, what AI assistants say about it. Good ORM is not about hiding criticism. It is about making sure the public record of your business is accurate, current, and representative of the experience most customers actually have.
For most businesses the stakes are concrete. A prospective client searches your name before they call. What appears on the first page of Google, in your Google Business Profile, and in an answer from ChatGPT or Perplexity forms their first impression before you ever speak to them. Online reputation management is the discipline of taking responsibility for that impression instead of leaving it to chance.
What online reputation management covers
ORM is broader than review management, although reviews are usually where it starts. A complete program typically includes five areas of work.
Review generation and response. Asking satisfied customers for reviews on the platforms that matter for your industry (Google first for most local businesses, then industry sites such as Clutch for agencies, Avvo for law firms, or Healthgrades for medical practices), and responding to every review, positive or negative, promptly and professionally.
Branded search results. Shaping what ranks for your business name. The goal is a first page made up of properties you control or that represent you accurately: your website, your Google Business Profile, your LinkedIn company page, legitimate directory listings, press coverage, and case studies.
Monitoring. Tracking new reviews, brand mentions, news coverage, and social posts so that problems are seen within hours rather than discovered months later by a prospect.
Listings and citations. Keeping your business name, address, phone number, and website consistent across directories and data aggregators. Inconsistent listings confuse customers, weaken local search rankings, and give AI systems conflicting facts to choose between.
AI answer accuracy. Checking what large language models say about your business and correcting the sources they draw from. This is the newest part of ORM and the one most businesses have not started yet.
Why reputation now includes AI answers
Search is no longer the only place a reputation is formed. When someone asks an AI assistant which agencies, law firms, or contractors are reputable in their city, the answer is assembled from reviews, directory listings, news coverage, forum discussions, and the business’s own website. If those sources disagree, are outdated, or are thin, the AI answer will be vague, wrong, or will simply recommend a competitor with a clearer footprint.
That changes the practical work of ORM in two ways. First, consistency matters more than it used to, because AI systems reconcile what many sources say rather than trusting any one of them. We call this the consensus layer, and we cover it in depth in Winning the consensus layer: the new SEO battleground. Second, you need a way to see what the models are saying. Our AI model testing prompt template is a free starting point, and our AI visibility plans monitor it monthly.
Responding to negative reviews
Every business with enough customers eventually gets a negative review. How you respond is often more persuasive to prospects than the review itself, because readers are judging how you treat people when something goes wrong. A few principles hold across industries.
Respond quickly and publicly. A reply within a day shows the review was noticed. Silence reads as indifference.
Acknowledge, do not argue. Thank the reviewer, acknowledge the specific problem they describe, and avoid disputing their account in public even when you believe it is unfair. Readers side with the calm party.
Move the details offline. Offer a direct contact (a named person and a phone number or email) to resolve it. Never disclose private customer information in a reply; for healthcare, legal, and financial businesses this can create regulatory problems as well as reputational ones.
Fix the underlying issue. Recurring complaints about the same thing are operational feedback, not a marketing problem. ORM that only manages the surface will keep generating the same reviews.
Know what can be removed. Platforms will remove reviews that violate their policies, such as reviews that are fake, off-topic, from competitors, or that contain hate speech or private information. They will not remove honest negative reviews, and trying to force that usually backfires.
What ORM is not: fake reviews and suppression tactics
Some reputation vendors still sell shortcuts: purchased reviews, review gating (only asking happy customers to post publicly), networks of fake profiles, or campaigns to bury legitimate criticism under spam content. These tactics carry real risk.
In the United States, the Federal Trade Commission’s rule on fake reviews and testimonials, finalized in 2024, prohibits buying or selling fake reviews, AI-generated reviews that misrepresent a real customer experience, and insider reviews that are not disclosed, and it allows the FTC to seek civil penalties for violations. Google also removes reviews it identifies as fake and can restrict a Business Profile that receives them. And search engines treat mass-produced suppression content as spam, which can pull down the pages you actually want to rank.
The durable approach is slower but safer: ask every real customer for an honest review, respond to all of them, and publish enough accurate, useful content about your business that the first page of results reflects reality.
Reputation and local SEO
For businesses that serve a local area, reputation and search visibility are closely tied. Google has said that review count and rating are part of how it assesses a business’s prominence in local results, and reviews that mention specific services and locations give it more context about what you do and where. A steady flow of recent reviews, answered consistently, supports your local SEO as well as your conversion rate, because a searcher comparing three businesses in the map pack will usually call the one with the stronger, more recent track record.
The same consistency requirement applies to listings. If your address or phone number differs between Google, Yelp, Bing, Apple, and industry directories, both customers and search engines have reason to doubt which one is right. Cleaning up citations is unglamorous work, but it is foundational to any reputation program.
How to measure online reputation
ORM should be measured like any other marketing program, against a baseline recorded before the work starts. Useful measures include:
Average rating and review count on each platform that matters, and the rate of new reviews per month.
Response rate and response time for reviews and public comments.
Branded search results: how many of the first ten results for your business name you control or consider accurate.
Share of sentiment in mentions and reviews over time.
AI answer accuracy: whether the leading AI assistants describe your business, services, and location correctly when asked.
Business outcomes: calls, form submissions, and direction requests from your Google Business Profile, which tend to move with rating and review volume.
ORM for regulated industries
Law firms, healthcare providers, and financial institutions have extra constraints. Attorneys must follow state bar rules on advertising and testimonials. Healthcare providers must avoid confirming that a reviewer is a patient, which rules out many ordinary responses. Banks and wealth managers face rules on testimonials and endorsements from their regulators. A reputation program for these businesses needs response templates reviewed by compliance before they are used, and a clear escalation path for complaints that raise legal issues.
Where ORM fits in a marketing program
Reputation work supports almost everything else a business does online. Stronger reviews lift conversion rates on your website and profile. Accurate listings support local rankings. Consistent facts across the web support entity SEO and AI visibility. And a well-managed branded search page protects the value of every other marketing dollar that sends people to look you up.
Our online reputation management services cover review generation, monitoring, response, listing cleanup, and AI answer checks, built on honest methods only. If you are not sure what people currently find when they search for your business, book a discovery call and we will show you.
