How to get my business recommended by ChatGPT and Gemini?

The way people search for information has changed more in the last three years than in the previous two decades. A growing share of consumers no longer type a query into Google and scroll through a list of links — they ask an AI assistant and expect a direct answer.

Traditional search engine volume is projected to drop by 25% by 2026, largely driven by the rise of AI-powered answer engines.¹

— According to a 2024 study by Gartner

68% of organizations are already actively changing their strategy in response to AI search.²

— 2025 BrightEdge survey of 750+ marketing professionals

So when someone asks ChatGPT “Is there a good Italian restaurant near downtown?”, how does the AI decide which brand to mention?

Do reviews change AI’s answers?

Large Language Models (LLMs) like ChatGPT and Gemini are trained on massive volumes of web content. Several of them — especially Gemini, which is integrated with Google Search, and ChatGPT with its web browsing feature enabled — also pull real-time data from the web to compose their responses.

These models don’t “think” or “feel,” but they are extremely good at identifying patterns: what’s frequently mentioned, what’s consistently praised, and what the general consensus looks like across a wide range of sources.

In this context, customer reviews function as trust signals.

Semantic context:

AI models analyze the language inside reviews. When customers repeatedly use terms like “fast delivery,” “excellent customer support,” or “best value for money,” those attributes become associated with your brand in the model’s understanding. It’s not just about star ratings — it’s about what people are saying.

Social proof at scale:

An AI won’t take your word for it simply because your website claims you’re the best. But if hundreds of independent sources across the web say so — review platforms, blog posts, forum threads — that consensus carries real weight in how the model ranks and surfaces your brand.

A 2025 Semrush AI visibility study, which analyzed how ChatGPT and Google AI Mode select brands across several industries, found that when AI models compare brands for users — for example, answering “best CRM software” — they rely heavily on sentiment from review platforms and discussion forums, rather than from official brand websites alone.³ In other words, what your customers say about you in public, third-party spaces often carries more weight than what you say about yourself.

Why Being on Just One Review Platform Isn't Enough

One of the most common mistakes small and mid-sized businesses make is focusing all their energy on Google Reviews and ignoring everything else. But AI models don’t rely on a single source: they cross-reference multiple platforms to build a more complete and reliable picture of your business.

Think of it this way: if a friend asks three different people about a restaurant and all three say it’s great, you’re far more likely to go than if only one person gave an opinion. AI works the same way.

Depending on your industry, the platforms that matter most will vary:

According to Whitespark’s Local Search Ranking Factors report, review signals — including quantity, diversity, and recency of reviews — account for approximately 17% of local pack ranking factors,⁴ a number that becomes even more relevant as AI assistants pull local data to answer user queries.

The takeaway: consistency builds consensus, and consensus is what AI models use to decide who earns the recommendation.

How Reviews Work Differently in ChatGPT vs. Gemini

Understanding the mechanics of each platform helps you prioritize your strategy.

Google Gemini Gemini has native, privileged access to Google’s ecosystem — including Google Business Profile reviews. This means your Google reviews aren’t just helping your local SEO anymore; they’re directly feeding the AI that millions of people interact with daily. Gemini uses these reviews not only to assess your overall rating but to extract specific highlights: what customers love, what they complain about, and what makes your business stand out. Businesses with well-maintained Google profiles and a steady stream of detailed reviews have a clear structural advantage here.

ChatGPT ChatGPT (with web browsing enabled) crawls a broader range of sources: third-party review directories, industry blogs, Reddit discussions, niche forums, and “best of” roundup articles. If your brand is frequently mentioned in articles like “Top 10 Project Management Tools for Small Teams” or consistently appears in positive discussions on forums, it has a much higher chance of being the answer ChatGPT offers. According to a 2024 analysis by Search Engine Journal, brands that appeared in editorial “best of” lists were cited in AI responses at a rate 3x higher than those that didn’t.⁵

What Can Small Business Owners Do Starting Today?

You don’t need a big marketing budget to improve your visibility in AI-generated answers. What you need is a consistent and intentional approach to managing your online reputation.

Ask for detailed reviews, not just star ratings.
A five-star rating with no text provides almost no useful context for an AI model. Encourage customers to describe what they bought, what problem it solved, and what made the experience memorable. A simple follow-up email or a printed card at checkout can make a big difference.
Spread your presence across relevant platforms.
Identify two or three review sites that are most relevant to your industry and run a focused campaign to build your presence there.
Respond to every review — including the bad ones.
Engagement signals activity. When you respond to reviews, you generate more text and context that AI models can process. Handling negative feedback professionally also demonstrates credibility, which is something AI models pick up on when evaluating how your business is perceived overall.
Keep reviews recent.
A business with 200 reviews from five years ago is less relevant than one with 50 reviews from the last six months. AI models — especially those pulling real-time data — factor in recency. Build habits and systems that generate a steady flow of new feedback over time.

TRY REVIEWBIZ TWO MONTH PILOT TODAY AND GET 55% OFF

Get Reviews. Build Trust. Make Sales.

Start Your 55% Off Pilot

55% OFF

Conclusion: Consistency Is the New SEO

Visibility in the age of AI isn’t built overnight, and it isn’t built in a single place. It’s the result of showing up — consistently, over time, across multiple platforms — with an authentic and positive presence that reflects the actual quality of what your business delivers.

Every review a customer leaves is a small digital footprint. One review is a data point. Fifty reviews is a trend. Hundreds of reviews, spread across platforms, telling a coherent and positive story? That becomes the consensus an AI model trusts enough to recommend you by name.

For small and mid-sized business owners, this is actually good news. You don’t need to outspend large competitors on ads or hire an expensive agency. You need to be present, be consistent, and give your customers a reason — and an easy way — to talk about you online.

The businesses that will lead in AI-generated search results are the ones building that digital footprint right now. Start with one platform, make it a habit, and expand from there. The foundation you build today is the visibility you’ll earn tomorrow.