Online Reputation Management in the AI Era: A Guide

Online reputation management (ORM) is the ongoing work of monitoring, influencing and improving what people see when they search for your brand: reviews, ratings, search results, social posts and now AI-generated answers. In the AI era the goal is the same as it always was, earning and showing genuine trust, but more of the first impression is a summary written by Google or ChatGPT from many sources, so you have to manage the sources, not just your own site.

This guide is for e-commerce and Shopify brands that want a practical system rather than a crisis playbook. You'll get what changed with AI search and what didn't, current data on what shoppers check before they buy, a reputation audit you can run in an afternoon, compliant ways to get more reviews, how to respond to and remove negative content, the tactics that can now get you fined, and a 90-day plan.

What is online reputation management?

ORM covers everything a shopper might find about your brand before they decide to buy. For an online store, that usually includes:

• Reviews and ratings on your product pages, Google, Trustpilot, Amazon, Reddit threads and any marketplace you sell on.
• Branded search results: what appears on page one for "[brand]," "[brand] reviews" and "is [brand] legit."
• Google seller ratings, the store-level star ratings that can show on Shopping listings and ads.
• Social and community mentions, from TikTok comments to forum posts.
• AI answers from ChatGPT, Perplexity and Google AI Overviews when someone asks about your brand or category.

Good ORM has three parts: monitor what is being said, improve the experience that generates it, and amplify the genuine positive signals so they're what people and machines find first. The fourth part, removing content, is narrower than most agencies imply, and we'll cover exactly what qualifies.

What changed in the AI era, and what didn't

The biggest change is where people look. In BrightLocal's 2026 Local Consumer Review Survey of 1,002 US adults, the share using ChatGPT and other generative AI tools for local recommendations rose from 6% in 2025 to 45%, while Google's share fell from 83% to 71%. The average consumer used six different review sites. The survey covers local businesses, but the shift is the same one e-commerce brands see: the answer increasingly comes from a summary, not a list of links.

Summaries are also showing up inside review platforms. In the same survey, 82% of consumers said they read AI-generated review summaries, and 23% said they would rely on the summary alone. That means a handful of recurring complaints, about sizing, shipping times or customer service, can become the one-line verdict on your brand.

What didn't change:

• Reviews still decide. 97% of consumers in BrightLocal's survey read reviews online, 85% are more likely to use a business after positive reviews and 77% less likely after negative ones.
• Search fundamentals still matter. AI tools summarize what they can find and trust. Clear, accurate information on your own site and authoritative third-party coverage feed both classic rankings and AI answers. Our guide to E-E-A-T explains how Google thinks about trust.
• You can't fake it. Fake reviews were always against platform rules. Since 2024 they are also explicitly against a federal rule with civil penalties, covered below.

What shoppers check before they buy

Star ratings are the first filter, and the bar is rising. BrightLocal found that 68% of consumers will only use businesses rated 4 stars or higher, up from 55% the year before, and 31% now require 4.5 stars or higher, up from 17%.

Volume and recency matter almost as much as the average. 47% of consumers in the survey won't use a business with fewer than 20 reviews, and 74% look for reviews written in the last three months. A 4.8 from 12 reviews in 2024 is weaker than a 4.6 from 400 reviews this year.

Shoppers also judge whether individual reviews are believable. The most cited signals of a credible review were being backed by similar reviews, describing a positive experience and being recent. An owner response was cited by 37%.

Run a reputation audit in an afternoon

Before you change anything, write down what a shopper sees today. Search in a private browser window, on mobile and desktop, and ask the AI assistants your customers use.

Group what you find into themes. Most brands discover the same three or four issues repeated everywhere, usually shipping, sizing or fit, returns, and support response times. Those themes are your real reputation, and fixing them operationally does more than any amount of content. For ongoing tracking across AI tools, see our guide to AI brand monitoring.

How to get more genuine reviews

The fastest way to improve a rating is usually more reviews from ordinary, satisfied customers, who rarely leave one unprompted. BrightLocal found 78% of consumers had been asked for a review in the past year and 65% wrote one when asked. Asking works.

Ask the right way

1. Time the request to the experience. For physical products, ask after delivery and enough time to use the product, not at checkout.
2. Ask everyone. Google's policy forbids merchants to "selectively solicit positive reviews," so don't route only happy customers to Google and unhappy ones to a private form. This practice is called review gating.
3. Make it one tap. Link directly to the review form, and keep the ask short.
4. Don't pay for sentiment. Google's policy prohibits incentives such as discounts or free products in exchange for any review. The FTC rule specifically bans incentives conditioned on positive or negative sentiment.
5. Spread across platforms. Product reviews on your site, Google, and the third-party sites shoppers in your category use.

Qualify for Google seller ratings

Seller ratings are the store-level stars on Google Shopping and ads, and they're one of the most visible reputation signals an online store has. Google says most merchants get a rating after collecting 100 or more eligible reviews, counted per country over the last 24 months, from sources including Google Customer Reviews and approved partners such as Trustpilot and Yotpo. A rating of 3.5 or above is required to show on text ads. Our review generation strategy guide has templates and timing.

How to respond to negative reviews

A negative review handled well can build more trust than a perfect score. BrightLocal found 89% of consumers expect owners to respond, 80% are more likely to use a business that responds to all reviews, and 50% are put off by templated or generic replies. Expectations for speed are rising fast.

For word-for-word examples, see our guide on how to respond to Google reviews.

Removing or pushing down negative content

Most negative content can't be removed, and anyone who promises otherwise should be asked how. What you can do falls into three categories.

Report content that breaks the rules

Review platforms remove content that violates their policies: spam, fake reviews, conflicts of interest, harassment, off-topic rants. Google, for example, processes reviews automatically to detect fake reviews and spam and can take down flagged reviews that break its policies. Flag individual violations with evidence. A one-star review from a real customer you disagree with is not a violation.

Request removal of personal information

Google Search will consider removing specific personal information, such as home addresses, phone numbers, ID numbers, financial account numbers and doxxing content, and its "Results about you" feature helps find and request removal of contact details. Google is clear that it can only remove results from Search; the page itself stays online unless the site owner removes it, and newsworthy content may stay.

Outrank it with better pages

For everything else, the realistic approach is to publish and earn better results for your branded searches: a clear About page, a detailed shipping and returns page, an honest "[brand] reviews" page, founder and press coverage, and active profiles on the platforms that rank. This also gives AI assistants accurate material to draw from. Our guides to Google Knowledge Panels and Organization schema help Google understand which entity and sources are officially yours.

Shape how AI assistants describe your brand

You can't edit an AI answer, but you can change what it's built from. AI assistants repeat what is consistent across sources they trust, so the work is making the accurate story about your brand easy to find and hard to contradict.

• Answer trust questions on your own site. Shipping times, returns, warranty, sizing and who's behind the company, written plainly so they can be quoted.
• Fix outdated facts at the source. If ChatGPT says you don't ship to Canada because a 2023 article says so, update or contact that source.
• Earn coverage in category roundups and comparisons, which assistants often cite for "best" and "vs" questions.
• Build reviews on several platforms, since consumers and AI tools draw on more than one.
• Track it. Run the same set of brand and category prompts monthly and log changes. Our posts on ChatGPT brand mentions and brand reputation management cover tracking in detail.

Reputation tactics that can get you fined

The FTC's final rule banning fake reviews and testimonials, announced August 14, 2024, took effect in October 2024 and lets the agency seek civil penalties against knowing violators. Along with platform policies, it turns several once-common ORM tactics into real legal risk.

A 90-day reputation plan

1. Days 1 to 7: audit. Run the audit table above, record ratings, counts and recency per platform, and save the AI answers you get today as a baseline.
2. Days 8 to 14: fix the obvious. Answer every unanswered review from the last six months, flag clear policy violations, and turn off any review gating.
3. Days 15 to 30: start asking. Launch a post-delivery review request to every customer, linked to your site and one or two key platforms, with no incentives tied to sentiment.
4. Days 31 to 60: fix the themes. Take the top two complaint themes to operations, and publish clear pages on shipping, returns and other trust questions.
5. Days 61 to 90: build authority. Pitch category roundups and press, move review stars near product titles, and work toward Google seller ratings.
6. Every month: re-measure. Compare ratings, review volume, response time, branded search results and AI answers against your baseline.

Reputation is the sum of thousands of small experiences, and the brands that manage it well treat reviews as product feedback, not a marketing problem. If you'd like help seeing how your brand appears across Google and AI answers compared with competitors, get in touch.