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Features › AEO Insights › Sentiment

See how AI
describes your brand.

Measure the language, attributes, strengths and risks AI platforms attach to your brand in category and comparison questions - and compare the framing head to head with every competitor you track.

★★★★★
4.7/5 from 131 reviews on G2
Sspecialized.com
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📅 Last 7 days Daily Unbranded All Models All Topics Locations
Brand Perception ChatGPT
90
/100
90% positive 8% neutral 2% negative

Positioned as a premium, technically led bike brand. Praised for Turbo e-bikes, innovation and dealer support. Negatives cluster on pricing, spec confusion on older models and budget rivals.

r Y M S Based on 128 responses
Sentiment Score ↑ +4.0
90.0
Head-to-Head ↓ -3.0%
CCanyon
Visibility44%
Avg. Rank#2.3
Sentiment90
Known for
Direct-to-consumerCarbon valueAero road
VS
SSpecialized
Visibility41%
Avg. Rank#2.6
Sentiment79
Known for
InnovationS-Works techDealer network
Attributes Top-10 attributes
64% positive16% neutral19% negative
Trail performance23.5%
Turbo e-bike range18.4%
Dealer support13.3%
Premium pricing12.2%
Fit ecosystem10.2%
Road race heritage9.2%
Component confusion7.1%
Commuter utility6.1%
Brand Facts 4 of 6 facts verified Show all
✓
Specialized was founded in 1974 in Morgan Hill, California.
ChatGPT, Perplexity, AI Overviews
✓
The Specialized Turbo Levo uses a custom motor co-developed with Brose.
ChatGPT, Gemini
✓
S-Works Tarmac SL8 is marketed as the lightest road bike in the Tarmac line.
Perplexity, AI Overviews
✗
Some AI summaries treat Trek Marlin as a Specialized sub-brand.
ChatGPT (flagged)
Track your brand's visibility in:
Copilot Grok Meta AI deepseek ChatGPT perplexity Claude Gemini Copilot Grok Meta AI deepseek ChatGPT perplexity Claude Gemini

Everything you need to read
how AI describes you.

Four live panels that turn thousands of AI answers into the brand perception, framing and attribute data your marketing, PR and comms teams can act on this week.

Brand framing

Positive, neutral and negative,
in your own language.

Every tracked prompt is scored for positive, neutral and negative framing and summarized in plain English - the adjectives, the claims and the concerns AI answers actually use when they describe your brand.

Learn more
🌐 Brand Perception · ChatGPT
Last 7 days ▾
90
/100
90% positive8% neutral2% negative

Specialized sits as a premium, technically led bike brand, repeatedly praised for Turbo e-bikes, product innovation and dealer support. Negative mentions cluster on premium pricing, spec confusion on older generations and budget direct-to-consumer rivals.

Based on 128 responses
r Y S C
Sentiment trend

Watch perception move
week by week.

Daily sentiment scoring for every engine, per prompt and per competitor. See how a launch, a review, or a competitor campaign shifts the way AI describes you - before it shows up in revenue.

Learn more
Sentiment Score · 7-day trend
↑ +4.0
Head-to-head framing

Compare the story AI tells
about you vs competitors.

Pick any two brands, see how they rank on visibility, position and sentiment, and compare the attributes AI assigns to each. Spot the framing gaps you need to close - and the narratives you can own.

Learn more
Head-to-Head
↓ -3.0%
CCanyon
44%
Sentiment 90
Direct-to-consumerCarbon valueAero road
VS
SSpecialized
41%
Sentiment 79
InnovationS-Works techDealer network
Attribute analysis

Find the words AI puts
next to your name.

Top 10 attributes AI engines associate with your brand, broken down by positive, neutral and negative share. Lean into the ones that move buyers, fix the ones that are holding you back.

Learn more
Attributes
Top 10 ▾
64% positive16% neutral19% negative
Trail performance23.5%
Turbo e-bike range18.4%
Dealer support13.3%
Premium pricing12.2%
Fit ecosystem10.2%
Component confusion7.1%
How it works

Perception, measured from the answer.

Searchable reads how AI answers describe your brand - the claims, the adjectives, the competitors it lines you up against and the sources that shape every recommendation.

1

Set the comparison set

Track category prompts, branded queries and competitor questions across the AI platforms you care about.

2

Collect the answers

Run the same prompts across ChatGPT, Perplexity, Claude, Gemini, Copilot and more - daily, from fresh sessions.

3

Classify the framing

Identify repeated claims, attributes, concerns and praise. Group them into positive, neutral and negative language.

4

Trace the evidence

Link every sentiment score back to the sources, snippets and prompts that shaped the recommendation.

Trusted by marketers at companies around the world.

★★★★★
4.7/5 from 131 reviews on G2
"Most tools tell us just our visibility. Searchable tells us exactly what we need to do to drive revenue."
Jonathan Kvarfordt
Jonathan KvarfordtVP of Marketing, 1mind
"Without Searchable we would be in the dark about how we would support our clients on this AI journey. It's been absolutely invaluable."
CL
Cheryl LuzetFounder & CEO, Wagada Digital
"I used to get really bummed out by how complicated the traditional search tools were. The Agent surfaces the actionable takeaways."
Kobi Omenaka
Kobi OmenakaFounder, Kobestarr Digital
"Searchable is a must-have for any agency. It gives us the visibility and data to lead the conversation with clients."
Olly Fawcett
Olly FawcettFounder, 303
"Searchable gave us the operating system we needed to turn AI search visibility into a real growth lever for our clients."
Chris Grimsey
Chris GrimseyFounder, Blackbird
"One of Searchable's many strengths has been their communication. Fixes ship quickly and new features never stop."
LA
Luca AvvintiDigital & AI Marketer, Wagada Digital

Frequently
asked questions.

What does AI sentiment measure?
The positive framing, negative concerns, neutral facts and competitor positioning that show up in AI answers for your brand - broken down by prompt, engine and attribute.
Why does sentiment matter for AEO?
Visibility alone is not enough. Teams need to know why AI recommends a brand, what framing shapes the answer, and which competitor narratives are winning the comparison.
Can I compare sentiment against competitors?
Yes. Pick any competitor set, see the same scores and attributes side by side, and spot the exact language where you win or lose share of answer.
Can I see the language behind a score?
Every sentiment score is tied to the snippets, phrases, attributes and sources that produced it - click through to the exact AI answer that moved the number.
How should brand and comms teams use it?
To spot inaccurate claims, negative framing, competitor positioning and the strengths worth doubling down on across PR, social, product pages and reviews.
Does it only track positive and negative?
No. Neutral framing is tracked as a separate category because it often carries the most load in informational AI answers.
How often should it be reviewed?
Weekly or monthly for most teams, with daily tracking available during launches, campaigns or reputation events.

Ready to put sentiment
data to work?

Start free to track sentiment alongside visibility, mentions, citations and competitors - or book a walkthrough with our team.