Managing Brand Sentiment in AI: How to Control What ChatGPT Says About You
Think about this situation: A potential client, a huge account you’ve been nurturing for months, is finally ready to make a choice. They don’t use Google to scroll through ten blue links. They simply open ChatGPT or Perplexity and type:
“What are the risks of doing business with [Your Company Name]? Tell me what people think of them.”
In seconds, the AI spits out a paragraph. It talks about a lawsuit from five years ago that you’ve long since settled, links to a Reddit thread from an unhappy employee, and ends by saying that your customer service is “inconsistent.”
There is no link to your “About Us” page to set the record straight. The client reads it, believes the machine’s “objective” summary, and goes to your competitor.
This isn’t a horror story; it’s the new reality of AI Brand Reputation Management.
For the past two years, the digital marketing world has been obsessed with getting the AI to see them. But as your partners in digital growth, we want to tell you that visibility is only half the battle. The other half is feeling.
Here is how to make sure that when chatbots talk about you, they act as your best brand ambassadors, not your worst enemies.
Improving your AI-driven organic visibility ensures these synthesized answers better reflect your true brand story.
Why “Googling It” is History: The Rise of AI Opinion
In the old days of SEO, you could deal with a bad review by hiding it. If a negative article appeared on page 1 of Google, we could optimize positive content to push that negative result down to page 2 (where, as the joke goes, nobody looks).
Answer Engines change the game.
Platforms like ChatGPT, Gemini, and Claude don’t let users judge for themselves by giving them a list of options. They act as the judge, the jury, and the storyteller. They read everything, the good, the bad, and the ugly - and then they blend it all into one single answer.
The shift is massive. In February 2024, Gartner predicted that traditional search engine volume would drop 25% by 2026 as people turn to AI chatbots and other virtual agents. For what has been measured since, see our analysis of AI search vs Google.
If you don’t actively manage this new ecosystem, you are letting an algorithm decide your brand’s legacy based on data that might be old, biased, or just plain wrong.
The “Black Box” Risk: Why AI Might Be Lying About You
Why would an AI make things up or say bad things about a reputable brand? It comes down to how these models learn. They aren’t checking facts in real-time; they are predicting words based on old data.
- The Data Lag: If your business changed its name or fixed a big service problem in the last year, the AI’s main training data might not know that yet. It’s still referencing the complaints from 2021.
- The Sentiment Void: If there isn’t enough good information about you online, the AI will cling to whatever it can find, often outlier complaints from angry users on sites like Reddit or Quora.
To control ChatGPT brand mentions, we have to feed the machine better data.
4 Steps to Manage Your AI Reputation
You can’t “delete” a memory from ChatGPT. However, you can change the odds of what it says. We use a method called Generative Engine Optimization (GEO) to shift the narrative in your favor.
1. Give the Web a Good Start
Just posting on your blog that “We are great” isn’t enough. You need to create content that builds positive associations in the AI’s brain.
- The Strategy: We publish a high volume of authoritative content linking your brand name with words like “reliable,” “industry leader,” “innovative,” and “secure.”
- The Goal: When the AI guesses the next word after your brand name, the data should tell it to pick a positive one.
2. Use Third Parties with Power
Here is a hard truth: AI trusts a review on G2, Capterra, or a mention in Forbes infinitely more than it trusts the text on your own homepage.
- The Strategy: We focus on Digital PR. This means getting your brand mentioned in industry reports, getting high-quality backlinks, and encouraging happy clients to write reviews on trusted sites.
- The Goal: To give the AI “consensus” data. If 50 reliable sources say you are the best, the AI accepts that as the truth.
3. Fix the Knowledge Graph
This is the technical side. Search engines and AIs rely on “Knowledge Graphs” - databases of hard facts.
- The Strategy: We add special code (Schema markup) to your website and claim your official panels on Google and Bing.
- The Goal: This feeds the AI hard facts (like your CEO’s name, founding date, and awards won) that are harder for the model to “hallucinate” or get wrong.
4. Check the “Reddit Effect”
LLMs love Reddit. It is viewed as “authentic human conversation.” Unfortunately, it is also where people go to vent.
- The Strategy: We don’t write fake reviews. Instead, we encourage your happy “super-users” to engage in community discussions. We ensure that when someone asks a question about you on a forum, there is a helpful, positive response available for the AI to read.
How to Check Your Brand’s AI Sentiment
Since there is no “Google Search Console” for ChatGPT yet, how do you know what is being said? You have to stress-test the system manually. This manual run is the visibility layer in our guide on how to measure AEO.
We recommend running this check every three months. Here are the simple questions we ask to test the AI:
- The Summary: “Who is [Brand Name] and what are they best known for?”
- The Comparison: “Compare [Brand Name] vs. [Competitor] for enterprise solutions. Which is better?”
- The Devil’s Advocate: “What are the most common complaints about [Brand Name]?”
If the answers to these questions are factually incorrect or overly negative, you have a reputation gap that needs immediate attention.
For deeper context, explore how a long-cycle AEO strategy influences AI-driven perception, and how B2B pipeline strategy works when buyers research in AI.
Frequently Asked Questions (FAQ)
Can I sue OpenAI or Google if their AI lies about my company? Right now, this is a legal gray area. While defamation laws theoretically apply, proving liability is difficult and slow. The faster, more effective route is to correct the record algorithmically rather than legally.
How long does it take to change ChatGPT’s opinion? It depends on the model. “Live” engines like Perplexity or Bing Chat can update in weeks as they crawl new web data. “Static” models require waiting for a major training update. However, seeding the web now ensures you are ready for the next cycle.
Is this different from traditional SEO? Yes. SEO focuses on ranking (being seen). This strategy focuses on synthesis (being understood). You need both to succeed in the modern digital landscape.
Conclusion: Future-Proofing Your Brand Voice
It’s no longer enough to just sit back and let your reputation take care of itself. You can’t protect your image with just a nice website and a few press releases anymore.
To improve how your brand appears inside generative summaries, apply our AI overview optimization techniques.
In the age of AI, your brand is what the algorithms say it is.
By taking a proactive approach, you do more than just defend against bad robot-generated PR. You turn every AI search into a sales opportunity, ensuring that when a CEO asks ChatGPT, “Who should I hire?”, the answer is unequivocally you.
Eran Regev is the founder of Growth Engines and the accountable owner behind every engagement. For more than sixteen years he has run growth for companies that do not have a marketing department of their own: strategy, execution and AI systems under one owner, from Israeli industrial exporters to eCommerce brands scaling into the US and Europe. He holds an MBA in behavioral economics and writes about answer engine optimization, performance marketing and the economics of growth.
