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The Exact Words AI Uses to Describe Your Brand — Verbatim Quotes from 18,000 Responses

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Research18,000 ResponsesVerbatim Quotes

The Exact Words AI Uses to Describe Your Brand — Verbatim Quotes from 18,000 Responses

We extracted the actual sentences ChatGPT, Claude, Gemini, and Perplexity use to describe brands like Zoom, Shopify, Slack, and LARQ. Some get praised. Some get warned against. Here's what AI says about brands behind their backs.

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GeoBuddy Research
March 22, 202616 min read

We read 18,000 AI responses. Not summaries. Not analyses. The actual sentences that ChatGPT, Claude, Gemini, and Perplexity use when someone asks about a brand.

Some brands get poetry. Lululemon's fabric is described as "impossibly soft, buttery fabric that molds like a second skin." Some brands get warnings. Deutsche Bank gets mentioned with caution. And some brands — like Slack — get BOTH enthusiastic praise and a dry spec sheet from the same engine.

Here are the exact words. Verbatim. Unedited. This is what AI says about brands behind their backs.

18,000
AI Responses Analyzed
4
AI Engines Compared
1.0
Max Sentiment Gap
24
Brands Quoted
Four colorful robots holding speech bubbles with different opinions about the same brand

Four AI engines. Four different opinions. Same brand.

The Praise: Brands AI Loves

Let's start with the brands that AI goes out of its way to endorse. These aren't just mentioned — they're recommended. The language AI uses is strikingly specific.

Lululemon — AI Writes Poetry

No brand in our dataset receives more eloquent descriptions than Lululemon. AI engines don't just list features — they write sensory-rich descriptions that read like luxury copywriting.

"Lululemon Align High Rise leggings rank highest for comfort and fit among tested brands, praised for their impossibly soft, buttery fabric that molds like a second skin."

Perplexitysent=1.0

"The fabric feels almost impossibly soft—like cool silk gliding over skin—yet offers a gentle, supportive hug."

Claudesent=0.9

Why does AI write poetry about Lululemon? Because the web is saturated with detailed, sensory product reviews. AI learns from what's written about you — and Lululemon has trained AI (unintentionally) with thousands of eloquent descriptions across review sites like Trustpilot, fashion blogs, and YouTube transcripts.

LARQ — The Power of "Pioneered"

LARQ achieves something remarkable: 100% visibility across all four engines, and AI consistently uses the word "pioneered" — the highest form of AI endorsement we've found.

"LARQ: Pioneered the self-cleaning water bottle with its UV-C light technology."

ChatGPTsent=0.9

"Consider the LARQ Bottle. It uses UV-C light technology to eliminate up to 99.99% of harmful bacteria."

ChatGPTsent=0.8

"LARQ is the most frequently recommended self-cleaning water bottle brand, praised for its UV-C technology that neutralizes up to 99.9999% of bacteria."

Perplexitysent=1.0

Notice the language: "pioneered," "most frequently recommended," "praised for." These aren't neutral descriptions — they're endorsements. LARQ owns the "self-cleaning bottle" category so completely that AI treats it as the definitive answer, not an alternative.

Zoom — The Consensus Pick

With 24 quotes across all four engines and an average sentiment of 0.85, Zoom is perhaps the most consistently praised brand in our dataset.

"Known for its ease of use and reliability, Zoom offers features like breakout rooms, virtual backgrounds, and screen sharing."

ChatGPTsent=0.8

"Zoom: User-friendly interface. High-quality video and audio."

ChatGPTsent=0.8

"Zoom for reliability and large meetings, scalable to 1,000+, breakout rooms, AI summaries, whiteboards."

Perplexitysent=0.9

Zoom's consistency is its superpower. Unlike Slack (which we'll see gets wildly different treatment), every engine uses nearly identical language for Zoom: "ease of use," "reliable," "user-friendly." When AI can describe your brand in one confident sentence, you've won.

Sentiment Heatmap: Brand × AI Engine

How each engine feels about each brand — from -1 (warns against) to +1 (enthusiastically recommends)

BrandChatGPTClaudeGeminiPerplexity
Zoom+0.8+0.7+0.9+0.8
Slack+1.00.0+0.8+0.5
LARQ+0.9+0.8+0.8+1.0
Zapier+1.0+0.6+0.8+1.0
G2+0.8+0.8+1.0+0.8
Miro+0.7+0.6+0.7+0.7
Teladoc+0.5+0.5+0.6+0.4
Acorns+0.7+0.5+0.7+0.6
DocuSign+0.8+0.7+0.8+0.8
Deutsche Bank-0.1-0.20.0-0.3

The Warning: Brands AI Dislikes

A brand mascot looking into four different mirrors, each showing a different reflection

Same brand, four mirrors — and not all reflections are flattering.

Not every brand gets the poetry treatment. Some brands are visible — AI mentions them — but the language carries unmistakable caution. A negative AI sentiment score doesn't mean AI ignores you. It means AI warns people about you.

Deutsche Bank — Visible But Cautious (Sentiment: -0.17)

Deutsche Bank appears in 33% of relevant queries. But unlike Zoom's enthusiastic endorsement, AI describes Deutsche Bank with hedged, cautious language. The sentiment score of -0.17 means AI is, on average, slightly negative — mentioning the brand while subtly steering users elsewhere.

This is arguably worse than being invisible. When AI mentions your brand with qualifiers and warnings, it actively damages perception. Users don't just skip you — they leave with a negative impression.

Weebly — Positioned as Outdated (Sentiment: -0.25)

Weebly has the lowest sentiment score in our featured brands. AI consistently positions it as a legacy option — something that existed rather than something to choose. When users ask about website builders, AI mentions Shopify and Wix as primary recommendations and frames Weebly as an afterthought with phrases like "also available" and "less feature-rich."

The negative sentiment trap: 4 brands in our analysis have negative average sentiment — AI actively warns users away from them. If your brand sentiment is below zero, visibility is actually hurting you. Every AI mention reinforces a negative perception. Check your sentiment free.

Same Brand, Different Story

This is the finding that surprised us most. The same brand, described by the same engine, can receive wildly different framing depending on the query context.

Slack: Loved AND Ignored by ChatGPT

Slack has a sentiment gap of 1.0 — the maximum possible range. In one response, ChatGPT is enthusiastic. In another, it's a dry spec sheet.

"Best for: Real-time communication and collaboration in larger teams."

ChatGPTsent=1.0

"Slack - Users: Primarily teams and businesses (over 16 million daily active users)."

ChatGPTsent=0.0

Same engine. Same brand. Completely different treatment. In the first response, ChatGPT positions Slack as the best choice. In the second, it's just listing facts like a Wikipedia entry.

Why? Context matters. When users ask "what's the best team communication tool?" Slack gets enthusiastic endorsement. When they ask "compare popular business tools," Slack gets a dry factual listing. The prompt determines the framing.

Same Brand, Different Story

Sentiment score per engine — showing how each AI 'personality' frames the same brand differently

Slack's sentiment gap is 1.0 — ChatGPT loves it while Claude stays neutral. Your brand has 4 different reputations.

Zapier: Perplexity's Favorite, Claude's Afterthought

Zapier shows how each engine has its own "personality." Perplexity loves it — consistently high praise. Claude is more measured, listing it without the enthusiasm. Your brand doesn't have one AI reputation. It has four.

"Zapier - Connects various apps to automate tasks without coding. User-friendly interface."

ChatGPTsent=1.0

"Zapier excels with 8000+ integrations, AI copilot, agents, and templates; ideal for non-technical users."

Perplexitysent=1.0

The Language of Endorsement

When AI recommends a brand as the primary choice versus listing it as an alternative, the language is noticeably different. We counted every instance of key phrases across all 18,000 responses. The patterns are unmistakable.

The Language of AI Endorsement vs Warning

How many times each phrase appears across 18,000 responses — the words that make or break a brand

Endorsement Language

"best for"
1,847
"excels"
1,203
"user-friendly"
982
"praised for"
756
"pioneered"
412
"most recommended"
389
"innovative"
341

Warning Language

"consider alternatives"
623
"limitations"
518
"outdated"
287
"restricted"
234
"caution"
178
"expensive"
156
"complex"
134

Endorsement words outnumber warning words 3:1 — AI is generally positive, which makes negative mentions even more damaging.

The word "best for" appears 1,847 times — almost exclusively in primary recommendations. When AI says "best for," it's positioning a brand as the definitive answer. Compare that to "consider alternatives" (623 times), which signals AI is hedging.

The most powerful single word? "Pioneered." It appears 412 times and is almost always associated with brands that score above 0.8 in sentiment. When AI says a brand "pioneered" something, it's granting historical authority — the highest form of endorsement we've found. LARQ gets this word. So does Shopify for e-commerce.

How AI Frames Brands: Role Distribution

From 18,000 AI responses — how often brands are praised, listed, compared, or warned against

Primary Recommendation: 34%
Alternative Mention: 42%
Neutral Comparison: 18%
Warning / Caution: 6%

The 34/42 split: Only 34% of brand mentions are primary recommendations. 42% position brands as alternatives. This means most brands, even visible ones, are framed as second choices. Moving from "alternative" to "primary" is the most impactful thing you can do for your AI brand perception.

The Poetry Index: Which Brands Get the Most Eloquent Descriptions?

A robot poet writing on a scroll with flowery language while another robot writes a bullet-point list

Some brands get poetry. Others get bullet points.

We created a "Poetry Index" by multiplying average description length by sentiment score. The result measures not just whether AI mentions a brand, but how eloquently it describes it. The higher the score, the more AI is effectively doing your marketing for you.

The "Poetry Index": Which Brands Get the Most Eloquent AI Descriptions?

Score = avg description length × sentiment. Positive = AI writes lovingly. Negative = AI warns.

Lululemon scores highest — AI literally writes poetry about its fabric. Deutsche Bank and Weebly go negative.

Lululemon tops the index at 192. AI doesn't just mention Lululemon — it writes multi-sentence, sensory-rich descriptions that could pass as professional copywriting. Every mention is essentially free advertising.

At the bottom, Deutsche Bank (-24) and Weebly (-33) have negative Poetry Index scores — meaning their descriptions are both unflattering and substantial. AI doesn't dismiss them briefly; it takes the time to explain why users should be cautious. Negative Poetry Index is the worst possible outcome: detailed negative coverage.

Average Brand Description Length by Engine

Characters per brand mention — longer descriptions mean more nuance (and more brand exposure)

Gemini writes 2.5× more per brand than Claude. More words = more opportunity for praise (or criticism).

Across Languages: AI Describes Brands Globally

AI doesn't just describe brands in English. It forms opinions in every language. And sometimes, the translation reveals subtle differences in positioning.

Take OKX, a major cryptocurrency exchange. Here's how AI describes it across languages:

🇫🇷 "OKX et Bybit : Idéaux pour dérivés, futures et copy trading pros."

Perplexitysent=0.8

🇫🇷 "les 3 plus grandes plateformes d'échange de cryptomonnaies sont Binance, Gate et OKX."

Claudesent=0.7

🇬🇧 "The 3 largest cryptocurrency exchanges are Binance, Gate, and OKX."

Claudesent=0.7

Notice the subtle difference: in French, Perplexity positions OKX as "ideal for derivatives and copy trading" — a specific use-case endorsement. In English, Claude lists OKX as one of the "3 largest" — a factual, neutral framing. Same brand, same accuracy, different perception.

For global brands, this means your AI reputation varies not just by engine, but by language. A brand that's enthusiastically recommended in French might be dryly listed in English. Monitoring AI perception across languages is the next frontier of brand visibility management.

The Universally Loved: G2 and Zapier

Some brands achieve something rare: positive coverage across all engines. G2 and Zapier are the standout examples.

"One of the largest and most influential B2B software review sites. Known for its G2 Grid Report."

Geminisent=1.0

"Features over 2.6 million verified user reviews, interactive Grid rankings."

Perplexitysent=0.8

G2's secret: it's both a source and a subject for AI. AI engines cite G2 reviews when discussing other brands, which means G2 itself appears in AI's training data thousands of times. When you're the source AI trusts, AI trusts you. Brands looking to improve their AI visibility can start by building strong profiles on G2, Capterra, and Trustpilot.

What This Means: How to Influence the Words AI Uses About YOUR Brand

AI doesn't make up brand descriptions from nothing. It reflects what the web says about you — filtered through its own "personality." Here's how to influence those exact words:

1. Own your one-sentence description

The brands with the highest sentiment scores all share one thing: AI can describe them in a single, confident sentence. LARQ "pioneered self-cleaning bottles." Zoom is "known for ease of use and reliability." If AI can't summarize your brand in one sentence, your positioning is unclear.

2. Saturate your category with authoritative content

Lululemon didn't ask AI to write poetry about its fabric. Thousands of bloggers, reviewers, and customers did it for them. AI learned from this corpus. If you want better AI descriptions, you need more — and more eloquent — third-party content about your brand.

3. Monitor all four engines, not just ChatGPT

As the Slack example shows, your brand can be #1 on one engine and an afterthought on another. The split personality problem affects 77 brands in our dataset. You need a multi-engine monitoring strategy.

4. Target the endorsement words

Work to earn "pioneered," "best for," "excels at" — not just mentions. This means positioning your brand as the definitive answer in your category through Generative Engine Optimization, strong Wikipedia presence, and category-leading content.

5. Check your brand's AI perception regularly

AI models update. Your competitors publish new content. Your AI reputation isn't static — it evolves. Regular monitoring is essential to catch negative shifts before they become permanent.

What Does AI Say About YOUR Brand?

Get the exact words ChatGPT, Claude, Gemini & Perplexity use to describe your brand — with sentiment scores, role analysis, and verbatim quotes.

Check Your AI Brand Perception Free

Methodology

This analysis covers 18,000 AI responses from ChatGPT (GPT-4o), Claude (3.5 Sonnet), Gemini (1.5 Pro), and Perplexity across 1,548 brands in 132 categories. Each brand was queried multiple times per engine with category-relevant prompts. Sentiment was scored from -1.0 to +1.0 using a calibrated NLP model on full response text. Verbatim quotes are extracted directly from raw AI outputs without editing or summarization.

The "Poetry Index" is calculated as: avg_description_length × avg_sentiment_score. Quote length is measured in characters. Role classification (primary/alternative/neutral/warning) uses pattern matching on framing language.

FAQ

What does ChatGPT say about my brand?

ChatGPT uses specific language patterns. Brands it endorses get phrases like "best for," "pioneered," and "excels." Brands it's less enthusiastic about get neutral listing language or warning phrases like "consider alternatives." Check what AI says about your brand.

Do different AI engines describe the same brand differently?

Yes, dramatically. The same brand can get a sentiment of 1.0 from one engine and 0.0 from another. Slack gets enthusiastic endorsement from ChatGPT ("Best for real-time communication") but a dry factual listing from Claude. Your brand has 4 separate AI reputations.

Which AI engine writes the most about brands?

Gemini writes the longest descriptions (~200 chars per mention), followed by Perplexity (~150), ChatGPT (~120), and Claude (~80). Longer descriptions mean more nuance and more opportunity for praise or criticism.

How can I improve how AI describes my brand?

Own your category positioning so AI can describe you in one confident sentence. Build presence on Wikipedia, G2, and industry publications. Publish category-defining content. Monitor your AI descriptions regularly. Use GEO strategies to systematically improve your AI brand perception.

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