What this blog covers:
In this blog we look at how online reputation management AI search changes affect brands and what ORM in 2026 looks like in practice. We go through where AI tools get their answers about a brand, what can go wrong, which older ORM work still matters, and a simple plan for AI reputation management that you can start this month.
Search is not just a list of links anymore.
Earlier, reputation work mostly meant watching the first page of Google. If a bad article was sitting at position three, we tried to push it down. We still do that, but a lot of people now read an AI answer first and may never click any link.
A 2026 study of 300,000 keywords found that when AI overviews show up, the top result gets about 58% lower click rate than before. Another study of US searches from early 2026 found that around 68% of Google searches ended with no click at all. So people read the summary and leave. Whatever that summary says about your brand is often the first thing they know about you.
Thus, how does AI search influence your brand reputation?
AI gathers information about your brand from numerous sources and gives a short answer to it. The majority of the population will read an answer and won’t bother with the reviews and articles it was generated from.
When someone asks how AI search affects brand reputation, we usually mention three things:
- If one complaint shows up on many sites, it can become the main summary of your brand.
- An old problem that is still on a popular page can come back in an answer.
- A small mistake can get repeated in a confident tone, and people tend to believe it.
It affects sales as well, since a 2026 survey found that the number of people using AI tools to find local businesses went from 6% to 45% in one year. AI is now the third most used source, after Google and Facebook.
Where do AI tools get their information about you?
Different tools use different sources, and the studies don’t fully agree. Some found that brand websites and listings get used a lot for simple business questions. But when the question is about opinions, like what customers think of a brand, one study of more than 23,000 AI citations found that outside sources were used about 82% of the time.
Another 2026 study looked at 30 million citations. Reddit was at the top, then YouTube, LinkedIn and Wikipedia. Review sites like Yelp and G2 were also in the top ten.
| Source: | What does it mean for your brand? |
| Reddit threads | Real customer complaints can show up in answers. |
| Review sites | Ratings and review text are used in summaries. |
| YouTube and LinkedIn | Videos and posts about your company get read too. |
| Wikipedia and news | Often used for basic facts about a brand |
| Your own website | Still counts, but it is only one source |
What happens when the AI gets it wrong?
A solar company in the US sued Google. It said an AI overview told people the company was facing a lawsuit from a state attorney general. The company says there was no such lawsuit and that some customers cancelled contracts after seeing the answer. The case is still going on, and Google has denied the claims, so nothing is proven. It still shows the kind of problem a brand can run into.
This is more likely with question searches. In early 2026 data, AI Overviews showed up on about 86% of question searches and 95% of comparison searches. For buying searches, it was only about 5%. Searches like “is this company legit” or “X vs Y” fall in the first two groups.
Is traditional ORM still relevant with AI search?
People ask us, “Is traditional ORM still relevant with AI search?” The short answer is yes, though the work is a bit bigger now. AI reads the same reviews, articles, forum posts and listings that ORM has always dealt with. If those are clean and correct, the summary is usually better. If they are not, the AI repeats the problem to more people and faster.
At Repute Matters, our work is already on these sources. We do review management, removing or suppressing negative content, and monitoring new mentions. ORM in 2026 just adds one more place to check, which is what the AI tools are saying after that work is done.
Here is how the usual tasks look when online reputation management AI search is part of the picture.
| Usual ORM task: | Still useful? | What is different in 2026? |
| Review management | Yes. | Fresh, steady reviews matter more because AI summaries use them. |
| Suppressing negative results | Yes. | You also check if the same problem shows up in AI answers. |
| Removing false content | Yes. | Removing the source often helps stop the AI from repeating it. |
| Tracking Google rankings | Yes, but not enough. | Also check ChatGPT, Gemini, Perplexity and AI Overviews |
Where generative engine optimisation fits?
Generative engine optimisation means making your content easy for AI tools to find and use in their answers. Some people sell it like a special trick. In May 2026, Google put out a guide saying that, for its own AI features, this is still just SEO. You don’t need special files or markup, and trying to get fake mentions can be treated as spam.
We think generative engine optimisation works best as a part of reputation work and not a replacement for it. Clear pages, real reviews and honest mentions help both people and AI tools. Planted posts and fake reviews don’t.
A simple AI reputation management plan:
- Ask the tools about your brand. Type your brand name, “[brand] reviews”, “is [brand] legit” and “[brand] vs [competitor]” into ChatGPT, Gemini, Perplexity and Google. Take screenshots with the date.
- Check where the answers come from. See which pages they link to. It could be a Reddit thread, an old news article or a review site.
- Fix the source, not only the answer. Reply to reviews, correct your listings, update your website, and report content that is false or breaks the platform’s rules.
- Keep reviews coming. About 47% of people say they won’t use a business with fewer than 20 reviews. A few new reviews every month are easier to keep up than one big push in a year.
- Put clear facts on your website. Your About page, service pages and FAQs should say who you are, what you do and where you are. This is the practical side of generative engine optimisation.
- Use the feedback option. If an AI answer is false, report it in the tool. Keep your screenshots in case you need legal advice later.
- Do this every month. Run the same checks monthly and after any news about your brand.
If you are not sure where to start, our online reputation audit at Repute Matters looks at your digital presence, so you know what to fix first.
Conclusion
AI has changed how people first find out about a brand, but what builds trust is the same as before. Real reviews, correct pages and quick fixes still do most of the work. What is new is that online reputation management AI search work now means checking AI answers along with Google results and doing it regularly. Good AI reputation management starts with knowing what these tools say about you today. If you want help with that, the team at Repute Matters can look at it with you.
FAQs
Q1. What is AI reputation management?
It means checking and improving what AI tools like ChatGPT, Gemini, Perplexity, and Google AI Overviews say about your brand. Most of the work is fixing the sources they read.
Q2. How does AI search affect brand reputation?
It takes many reviews, articles and posts and turns them into one short answer that people read first. If the sources behind it are mixed or wrong, the answer will be too.
Q3. Is traditional ORM still relevant with AI search?
Yes. AI tools still read reviews, news and forum posts, so managing those still works. You just add AI checks on top.
Q4. What does ORM in 2026 look like for a small business?
Mostly the basics are done regularly. Ask for reviews, reply to them, keep your listings correct and check AI answers once a month.
Q5. Do I need generative engine optimisation for my brand?
You don’t need it as a separate project. Google’s own guide says its AI features rely on normal SEO, so clear and honest pages are a good place to start.
Q6. Can I remove false information from AI Overviews?
Usually you can’t edit an answer yourself. It is better to fix or remove the source page and report the answer using the tool’s feedback option. If the claim is serious, talk to a lawyer.
Q7. Can fake reviews help me show up in AI answers?
No. Google has said that trying to get fake mentions may be treated as spam, and fake reviews can hurt trust if people notice them.
Q8. How often should I check what AI says about my brand?
Once a month is a good habit. Check again after any news, a rise in complaints, or a crisis.
