ChatGPT vs Claude vs Gemini vs Perplexity: Which AI Recommends Your Brand? (1,159 Brands Tested)

Not all AI engines are created equal when it comes to brand recommendations. We queried ChatGPT, Claude, Gemini, and Perplexity with 12,500+ prompts across 1,159 brands to find out which engine is most likely to recommend your brand — and which one might be ignoring you entirely.

The differences are not just noticeable — they are dramatic. One engine mentions brands 79% more often than another. Sentiment scores range from cautiously neutral to enthusiastically positive depending on which AI you ask. Rank positions, role assignments, and the very tone of each recommendation vary in ways that have real consequences for how users perceive your brand.

If you are only tracking your brand's visibility on one AI engine, you are seeing at most 25% of the picture. This article breaks down every dimension of the data so you can build a strategy that works across all four.

These four numbers tell the story at a glance. Perplexity and ChatGPT are the most generous — roughly one in four queries triggers a brand mention. Claude is more selective at 21.8%. And Gemini stands apart at just 14.4%, mentioning brands less than half as often as Perplexity. But as you will see below, the quantity of mentions is only part of the story.

Overall Mention Rates: Who Talks About Brands Most?

The first and most fundamental question: when a user asks an AI engine about a product category, how often does the engine actually mention specific brands?

Perplexity leads at 25.8%, followed closely by ChatGPT at 24.4%. Claude comes in third at 21.8%. And Gemini trails significantly at just 14.4%. That means Perplexity is 79% more likely to mention your brand than Gemini.

This gap has a straightforward explanation: Perplexity is built as a search-first tool. It retrieves live web content and synthesizes answers from recent sources, which naturally leads to more brand-specific responses. ChatGPT similarly draws on a massive training corpus full of product reviews, comparison articles, and brand-related content. Both engines are comfortable naming names.

Gemini, by contrast, appears to have a stronger internal filter. It favors generic advice and category-level descriptions over specific brand recommendations. When a user asks "what's the best CRM?", Gemini is more likely to describe the features of a good CRM without naming specific products — unless it has high confidence in the recommendation.

The practical implication is clear: if you only check your Gemini visibility, you are missing the engines where most brand discovery is happening. Conversely, if you are already visible in Perplexity and ChatGPT, those platforms are delivering the most volume of brand impressions to AI users.

Quality Over Quantity: Sentiment and Rank Position

Mention rate tells you how often an engine talks about brands. But it doesn't tell you how it talks about them. Two equally important dimensions are sentiment (how positive is the mention?) and rank position (where does your brand appear in the response?).

Here is where Gemini flips the script. Despite having the lowest mention rate by far, Gemini dominates both quality metrics:

• Gemini's avg sentiment: 0.649 — the most positive of all four engines, significantly above the pack
• ChatGPT's avg sentiment: 0.552 — middle of the road, balanced but not glowing
• Perplexity's avg sentiment: 0.548 — similar to ChatGPT, factual and neutral in tone
• Claude's avg sentiment: 0.505 — the most reserved, reflecting its analytical style

The rank position data is even more striking. When Gemini mentions your brand, it places you at an average rank of #1.97 — essentially first or second in the response. Compare that to ChatGPT's average rank of #3.50, where your brand appears roughly third or fourth in a list. Claude lands at #3.03, and Perplexity at #3.05.

This has a fascinating strategic implication. A brand that appears in Gemini's responses is likely getting premium exposure: positioned near the top of the response with positive language. A brand that only appears in ChatGPT might be buried as the fourth or fifth option in a long comparison list. Visibility is not binary — the quality of each mention matters enormously.

Multi-Dimensional Engine Profiles

When you combine mention rate, sentiment, rank position, and primary recommendation percentage into a single view, each engine's personality becomes instantly clear. The radar chart below shows these four dimensions simultaneously, making it easy to see each engine's strengths and trade-offs.

Notice how no single engine dominates every dimension. Perplexity leads on volume but lags on rank quality. Gemini dominates rank and sentiment but falls behind on sheer visibility. Claude and ChatGPT carve out middle positions with different emphases. This is precisely why multi-engine monitoring matters — optimizing for one engine's strengths can leave you weak on another's.

The radar profiles suggest four distinct "personality types" among AI engines. Understanding these personalities is essential for any brand trying to optimize its AI visibility.

Perplexity: The Generous Recommender

Perplexity has the highest mention rate (25.8%) and provides the most citations back to original sources. Because it performs real-time web retrieval, brands with strong recent content, press coverage, and review profiles tend to perform well here. Its average rank of #3.05 and sentiment of 0.548 are middle-of-the-road, which makes sense: Perplexity is reporting what the web says, not forming its own opinions.

Optimization lever: Fresh, citable content. Blog posts, product comparisons, and industry reports that rank well in traditional search will also feed Perplexity's retrieval pipeline.

ChatGPT: The Comprehensive Lister

ChatGPT mentions brands almost as often as Perplexity (24.4%) but takes a different approach: it provides longer, more detailed responses with extensive lists. It generates the most alternatives (396 alternative mentions across our dataset) of any engine. The downside is a lower average rank (#3.50) — your brand appears, but often as one option among many.

Optimization lever: Authority and differentiation. ChatGPT draws heavily on its training data. Brands with strong Wikipedia presence, extensive documentation, thought leadership content, and clearly differentiated positioning are more likely to appear as primary recommendations rather than just another name on the list.

Claude: The Cautious Analyst

Claude is the most analytically rigorous engine. Its 21.8% mention rate and 0.505 sentiment score (the lowest of all four) reflect a deliberate, balanced approach. Claude rarely gushes about brands; instead, it provides measured assessments with both pros and cons. Its average rank of #3.03 is slightly better than ChatGPT, suggesting that when Claude does name a brand, it tends to be more deliberate about positioning.

Optimization lever: Depth and credibility. Claude seems to reward brands with strong technical documentation, transparent pricing, and genuine differentiation. Marketing fluff does not appear to move the needle here — substance matters more than volume.

Gemini: The Selective Curator

Gemini is the outlier. At 14.4% mention rate, it is by far the most conservative. But its average rank of #1.97 and sentiment of 0.649 are both the highest of any engine. Gemini mentions fewer brands but treats the ones it does mention exceptionally well — prominent placement, positive language, and often a clear primary recommendation.

Optimization lever: Google ecosystem presence. Gemini draws on Google's knowledge graph, structured data, and search index. Brands with strong Google Business profiles, schema markup, and authoritative backlinks have the best chance of breaking through Gemini's higher threshold.

How Each Engine Positions Your Brand

Beyond simple mention/no-mention, we analyzed the role each engine assigns to brands. When an AI mentions your brand, it can assign one of several roles: primary recommendation ("I recommend Brand X"), alternative ("You could also consider Brand X"), or neutral/contextual mention ("Brand X is one option in this space"). The role determines how users perceive the endorsement.

The data reveals striking differences in how engines distribute these roles:

• Perplexity leads with 238 primary picks and 380 alternatives — the most generous engine by total positive mentions. It frequently presents 3-5 options with detailed comparisons, giving users a lot of choices.
• ChatGPT generates the most alternatives of any engine (396) but slightly fewer primary picks (218). This reflects its comprehensive listing style — your brand appears, but it is often one of many.
• Claude has the fewest total mentions (191 primary, 350 alternative) but provides deeper analysis for each one. When Claude recommends you, the reasoning is typically more detailed and nuanced.
• Gemini assigns 216 primary picks — nearly as many as ChatGPT — but only 155 alternatives and 59 neutral mentions. This is the most concentrated recommendation pattern of any engine: when Gemini mentions you, it is almost always as a strong recommendation, not a passing reference.

The "not mentioned" bars in the chart above tell an equally important story. Gemini leaves 2,692 brand-query combinations without any mention — far more than any other engine. This represents the massive gap between Gemini's selective approach and Perplexity's inclusive one. For the average brand, there is a roughly 1-in-4 chance of appearing in a Perplexity response, but only about 1-in-7 for Gemini.

What This Means for Your Brand Strategy

1. Monitor all four engines, not just one

A brand that is visible in Perplexity might be completely invisible in Gemini. Our data shows that engine-specific visibility varies by up to 79% between the most generous and most selective engines. Multi-engine monitoring is not a nice-to-have — it is essential for understanding your true AI presence. You can check your brand across all 4 engines free.

2. Perplexity and ChatGPT are your discovery engines

With 24-26% mention rates, these two engines are where the most brand discovery happens in raw volume terms. If you are optimizing for AI visibility, start by ensuring you show up in these two. Focus on citable, structured content that both engines can easily retrieve and reference.

3. Gemini visibility is premium visibility

Getting into Gemini is harder — a 14.4% mention rate means the bar is high. But the payoff is disproportionate: average rank #1.97, sentiment 0.649, and a high percentage of primary recommendations. Invest in Google ecosystem signals: structured data, Google Business Profile, authoritative backlinks, and knowledge panel presence.

4. Claude values depth over breadth

Claude's more analytical approach means brands with strong thought leadership, technical documentation, and genuinely differentiated positioning are more likely to be recommended. Generic marketing copy is unlikely to earn a Claude recommendation. Focus on producing substantial, well-reasoned content that demonstrates real expertise.

5. Optimize for role, not just presence

Being mentioned as a primary recommendation is worth far more than being listed as one alternative among five. Look at how each engine positions your brand and work to move from "alternative" to "primary pick." The tactics differ by engine — Gemini rewards authority, Perplexity rewards recency, and Claude rewards depth.

Methodology

This analysis is based on data collected by GeoBuddy's monitoring platform. Here is how we gathered and processed the data:

• 1,159 brands across 50+ industry categories (SaaS, e-commerce, fintech, health tech, marketing tools, and more)
• 12,500+ prompts sent to four AI engines: ChatGPT (GPT-4o), Claude (Claude 3.5 Sonnet), Gemini (Gemini 1.5 Pro), and Perplexity (default model)
• Prompts were designed to mimic natural user queries: "What's the best [category]?", "Compare [category] tools", "Recommend a [category] solution", and similar variations
• Each response was analyzed for: brand mention (yes/no), position rank, sentiment score (0-1 scale using NLP analysis), and assigned role (primary, alternative, neutral)
• Data collected between February and March 2026. All engines queried via their official APIs with default parameters

The dataset is a snapshot in time. AI engines update their models and data sources regularly, so these numbers will evolve. That said, the structural differences between engines — Gemini's selectivity, Perplexity's generosity, Claude's analytical caution — reflect architectural choices that are unlikely to change rapidly.

Frequently Asked Questions

Which AI engine recommends the most brands?

Perplexity has the highest brand mention rate at 25.8%, followed by ChatGPT at 24.4%. Claude is more selective at 21.8%, and Gemini is the most conservative at 14.4%. However, Gemini gives the highest rank positions (#1.97 average) and most positive sentiment (0.649) when it does mention a brand — so fewer mentions does not mean lower value.

Does ChatGPT recommend different brands than Claude?

Yes, significantly. Each engine has distinct recommendation patterns driven by different training data, retrieval methods, and internal biases. In our dataset, 37% of brands received materially different treatment across engines. Some brands had 100% visibility on one engine and 0% on another. You can check your brand's visibility across all four engines for free to see the differences firsthand.

Which AI engine has the best brand sentiment?

Gemini at 0.649/1.0 — it is the most positive when it does mention brands, using language that frames recommendations enthusiastically. ChatGPT (0.552) and Perplexity (0.548) are moderately positive. Claude is lowest at 0.505, reflecting its more balanced analytical style that tends to present both pros and cons rather than strong endorsements.

How many brands did you test?

We tested 1,159 brands across 50+ industry categories using 12,500+ prompts. Each brand was queried with multiple category-relevant prompts to ensure statistically meaningful results rather than one-off observations.

What is GEO (Generative Engine Optimization)?

GEO is the practice of optimizing your brand's visibility and positioning in AI-generated responses — the AI equivalent of SEO. As more users turn to ChatGPT, Claude, Gemini, and Perplexity for product recommendations, GEO is becoming essential for brand discovery. Learn more in our research blog.

How often should I check my AI visibility?

AI engines update their models and data sources regularly. We recommend checking your visibility at least monthly, and after any major content updates, product launches, or PR campaigns that might affect how AI engines perceive your brand.