Brand Sentiment in the Age of AI Search

AI search is changing how brands are discovered online. Instead of relying solely on webpages and traditional rankings, platforms like ChatGPT, Google AI Overviews and Perplexity are increasingly forming opinions about brands based on conversations happening across the web.

Reviews, Reddit discussions, social conversations, press coverage and customer feedback are now helping shape how AI systems describe and recommend businesses. As search journeys become more divided across social platforms, search engines and large language models, brand sentiment is becoming more than just the PR metric it once was. It’s becoming a visibility signal.

Today, users discover brands through a mix of platforms including LinkedIn, Capterra, G2, Clutch, Reddit, YouTube, AI and traditional search engines. Every review, mention, recommendation and discussion contributes to how brands are perceived online.

As a result, search engines and LLMs now have access to huge volumes of user-generated content and third-party commentary to help shape their understanding of brands. Reputation, trust and sentiment are increasingly influencing visibility within AI search experiences.

What is Brand Sentiment?

Brand sentiment refers to the emotional perception people have of your brand and reflects the conversations happening online around it. This includes brand mentions, reviews, press coverage, social media conversations and customer feedback, which are generally categorised as positive, negative or neutral.

Measuring brand sentiment focuses on how people talk about your brand rather than simply tracking the number of mentions. Your brand and a competitor’s brand may receive the same number of mentions online, but the sentiment surrounding them could be completely different.

Sentiment analysis tools look for recurring associations linked to your brand through phrases such as ‘reliable’, ‘helpful’, ‘easy to use’, ‘poor service’ or ‘unreliable’ to gauge public perception.

These associations influence both consumer perception and how AI systems understand your business online.

Monitoring brand sentiment can quickly help businesses understand how they are perceived and identify whether brand reputation management is needed.

How AI Interprets Brand Sentiment

Rather than analysing a single review or mention about your company, LLMs can identify patterns across content at scale. They analyse repeated themes, associations and descriptions across reviews, articles, forums and social conversations to build an understanding of your brand.

For example, if dozens of reviews (from platforms such as G2, Capterra, Google Reviews), Reddit discussions and industry articles consistently describe a SaaS company as ‘easy to use’, ‘great customer support’ and ‘ideal for small businesses’, AI systems may begin associating the brand with those qualities when generating recommendations or summaries.

The same applies to negative sentiment. If a brand is repeatedly associated with complaints around pricing, customer service or reliability, AI systems may reflect those themes in how the brand is positioned within AI-generated responses.

This is where brand reputation is no longer just a PR concern.

Why Brand Sentiment Matters for GEO

Brand sentiment is becoming increasingly linked to brand visibility within AI search. The stronger your brand sentiment, the more visible you are likely to become within AI search because it helps shape how models such as ChatGPT describe and position your business.

Positive associations found in online conversations influence how brands are introduced and recommended within AI. Negative sentiment, on the other hand, can lead to more cautious framing through phrases such as ‘has faced criticism for’ or ‘users have reported concerns about’.

When users search with phrases such as ‘best’, ‘top’, ‘recommended’ or ‘most reliable’, the brands surfaced within AI overviews and conversational search experiences are likely to be influenced by wider sentiment and trust signals found across the web.

As AI search evolves, visibility is becoming less dependent on what brands are saying about themselves on their websites but more dependent on what others say about them. This shift makes off page signals such as backlinks, citations and mentions increasingly important as AI uses these signals to assess authority, relevance and trust which boosts your visibility. Without Digital PR and GEO strategies working alongside SEO, brands risk losing visibility in AI.

What Signals Influence Brand Sentiment in AI Search?

Brand sentiment is heavily influenced by how well businesses deliver on the promises they make. While your website messaging plays a role, third-party conversations often carry significantly more weight.

Customer reviews remain one of the strongest indicators of sentiment. Reviews provide authentic experiences that help both users and AI understand how customers genuinely feel about a brand.

Community discussions on platforms such as Reddit, Quora and industry forums also contribute heavily to sentiment. These conversations often include experience-led commentary and comparisons that AI systems may interpret as highly trustworthy.

Media coverage, expert commentary and thought leadership content can further strengthen brand credibility and authority signals online. Brands consistently featured across trusted publications and industry conversations are more likely to be viewed as credible entities.

Social proof also matters. Testimonials, case studies, podcast appearances, interviews and webinars all contribute to a broader digital footprint that helps reinforce brand trust and visibility.

Together, these recurring signals help search engines and LLMs build a clearer understanding of how brands are perceived online.

How to Measure Brand Sentiment

There are a variety of tools (free and paid) that help businesses monitor and measure brand sentiment across different channels by analysing reviews, comments and online mentions.

Social listening and media monitoring tools are commonly used by brands running PR or awareness campaigns. Popular tools include:

Customer review platforms also provide valuable insight into customer perception. Platforms such as Trustpilot, Google Reviews and Tripadvisor can help businesses identify common praise points and recurring frustrations.

Monitoring these conversations regularly can help brands identify trends, spot potential reputation issues early and understand how they are perceived online.

How Businesses Can Improve Brand Sentiment

Businesses should focus on improving brand sentiment by actively listening to customers and understanding what is being said about them online.

One of the most effective ways to start is by encouraging customer reviews. Reviews provide insight into both the strengths and weaknesses of a business and can highlight opportunities for improvement while reinforcing what customers already value.

Negative feedback should never be ignored. In many cases, customers pay close attention to how brands respond to criticism. A thoughtful and proactive response can often strengthen trust more than the original review itself.

Social listening tools can also help brands understand wider conversations happening across the web and identify recurring themes associated with their business.

Beyond reviews and monitoring, businesses should focus on increasing their visibility outside of their own website. For example, being involved with podcasts, webinars, interviews, PR campaigns and expert contributions all help strengthen brand authority and expand digital presence across multiple channels.

The stronger and more consistent your brand presence becomes across trusted platforms, the more likely AI systems are to associate your brand with credibility and expertise.

Brand Reputation: The New Search Signal?

For years, brand reputation and sentiment were largely considered PR concerns. But as search evolves into more AI-driven experiences, reputation is increasingly becoming a signal that influences discoverability within AI search.

Traditional SEO still matters. Having a technically sound website with authoritative, well-structured and genuinely useful content remains essential. Strong SEO foundations continue to help search engines understand and trust your website.

However, AI search is introducing an additional layer. GEO is not simply about ranking webpages; it’s about building enough trust, authority and positive sentiment across the wider web for LLMs to confidently reference and recommend your brand.

One positive news article or a handful of reviews is unlikely to move the needle. What matters more is the consistency of the signals surrounding your brand across multiple sources and platforms over time.

As AI-generated search experiences continue to grow, businesses that invest in reputation, trust and visibility beyond their own websites are likely to be the brands that gain the greatest visibility within AI search.

Keen to get your brand discovered in search? Find out how POLARIS can help you. Visit our GEO services page to find out more.