Sentiment Analysis Dashboard
The Challenge
AI has an opinion about your brand. Do you know what it is?
Every time someone asks an AI assistant about your industry, it forms and delivers a characterization of your brand. Premium or budget. Innovative or outdated. Reliable or risky. These AI opinions shape purchasing decisions — and most brands have no idea what's being said.
You have no idea how AI describes your brand
When someone asks ChatGPT or Claude about your product, what words does it use? Premium? Budget? Reliable? Outdated? Without sentiment tracking, you're completely blind to how AI characterizes your brand to millions of potential customers every day.
AI might position you as 'budget' when you're premium
AI models form opinions based on training data — reviews, articles, forums. If outdated or negative content dominates, AI will describe your brand accordingly. You could be investing millions in premium positioning while AI tells people you're a budget option.
You can't track sentiment changes after campaigns
You launched a rebrand, published thought leadership, or updated your messaging. Did it change how AI perceives you? Without continuous sentiment monitoring, you have no way to measure the impact of your efforts on AI perception.
Competitors might have better AI perception
Your competitor might be described as 'innovative' and 'industry-leading' while AI calls you 'adequate' or 'one of many options.' Without comparative sentiment data, you don't know where you stand — or what it takes to close the perception gap.
Capabilities
Everything you need to understand AI sentiment
Go beyond visibility. Understand the tone, language, and characterization AI uses when it talks about your brand — and how it compares to competitors.
Sentiment Scoring
Get a clear positive, neutral, or negative sentiment score for every AI response about your brand. See aggregate scores across platforms and track how they shift over time with precision.
Feature-Level Analysis
Go beyond overall sentiment. See how AI rates your pricing, product quality, user experience, and customer support individually. Pinpoint exactly which attributes are dragging your perception down.
Brand Attribute Tracking
Track the specific words and attributes AI associates with your brand — 'premium,' 'affordable,' 'innovative,' 'complex.' See how these labels evolve and whether they align with your positioning strategy.
Competitor Sentiment Comparison
See how AI sentiment toward your brand stacks up against competitors. Identify where competitors are perceived more favorably and where you hold the advantage across every attribute.
Trend Monitoring
Track sentiment trajectories over weeks and months. Spot positive momentum or catch declining perception early. Correlate sentiment shifts with your marketing activities, product launches, and PR events.
Perception Gap Detection
Detect misalignment between your intended brand positioning and how AI actually describes you. If you position as enterprise-grade but AI calls you a 'small business tool,' Maya flags the gap immediately.
Sentiment Dashboard
Your brand's AI reputation at a glance
See the overall sentiment AI holds toward your brand across every platform — ChatGPT, Claude, Gemini, Perplexity, and more. The dashboard breaks down sentiment into positive, neutral, and negative percentages with trend lines showing how perception has shifted over time. Read the exact phrases AI uses so you know precisely what millions of users are being told about you.
- Aggregate sentiment score across all AI platforms
- Positive / neutral / negative percentage breakdown
- Exact AI response phrases and language
- Historical sentiment trend visualization
Sentiment Dashboard
Attribute Analysis
See how AI rates every aspect of your brand
AI doesn't just have one opinion about your brand — it evaluates your pricing, product quality, reliability, customer support, and user experience separately. Attribute Analysis breaks down sentiment by dimension so you can see exactly where your brand excels and where perception needs work. Discover that AI loves your product quality but thinks your pricing is too high, or that it praises your UX but questions your reliability.
- Per-attribute sentiment breakdown (pricing, quality, UX, support)
- Attribute-level competitor comparison
- Strengths and weaknesses identification
- Actionable improvement recommendations
Attribute Analysis
Perception Tracker
Measure how sentiment changes over time
Every content update, PR campaign, product launch, and competitor move can shift how AI perceives your brand. Perception Tracker monitors these changes continuously, showing you exactly when sentiment shifted and helping you correlate changes with specific events. Know within days — not months — whether your efforts are moving the needle on AI perception.
- Timeline view of sentiment changes
- Event correlation with sentiment shifts
- Before/after campaign impact measurement
- Automated alerts on significant perception changes
Perception Tracker
How It Works
Understand your AI sentiment in three steps
Enter your brand and competitors
Tell us your brand name, industry, and up to 10 competitors. Maya identifies the queries and topics where AI forms opinions about your category.
We analyze AI responses for sentiment
Maya queries AI platforms daily and analyzes every response for sentiment, tone, specific language, and brand attributes. Responses are scored and categorized automatically.
Get insights and shift perception
Your dashboard shows sentiment scores, attribute breakdowns, competitor comparisons, and trend data — plus actionable recommendations to improve how AI perceives your brand.
Who It Helps
Built for teams that own brand perception
Brand Managers
Monitor and protect your brand's AI reputation. See the exact words AI uses to describe you and ensure they align with your positioning strategy. Catch perception issues before they spread.
PR Teams
Measure the real impact of PR campaigns on AI perception. Track whether press coverage, thought leadership, and media mentions are shifting how AI characterizes your brand to the public.
Product Marketing
Understand how AI positions your product vs alternatives across every feature dimension. Use sentiment data to refine messaging, address perception gaps, and win the AI narrative.
Executive Leadership
Get a high-level view of your brand's AI reputation score and competitive standing. Track sentiment as a strategic KPI and make data-driven decisions about brand investment priorities.
Frequently asked questions
How is sentiment measured?+
Maya analyzes every AI response about your brand using natural language processing to classify sentiment as positive, neutral, or negative. We go beyond simple keyword matching — we evaluate the full context of how AI describes your brand, including tone, word choice, and positioning relative to competitors. Each response receives a sentiment score, and these are aggregated into an overall brand sentiment rating.
Can I see the exact words AI uses?+
Yes. Every AI response is captured verbatim so you can read the exact language AI models use to describe your brand. You'll see phrases like 'industry-leading,' 'budget-friendly,' 'known for reliability,' or 'struggles with customer support' — the actual words that shape how millions of users perceive you.
How often does AI sentiment change?+
AI sentiment can shift gradually as models are updated with new training data, or change more rapidly when significant new content (reviews, press, product updates) enters the training pipeline. We track sentiment daily so you can spot both sudden shifts and long-term trends. Most brands see measurable sentiment changes within 4-8 weeks of sustained content efforts.
Can I compare sentiment vs competitors?+
Absolutely. Competitor sentiment comparison is a core feature. You can see how your overall sentiment score compares to competitors, and drill down into specific attributes like pricing perception, quality ratings, and support sentiment. This reveals exactly where competitors have a perception advantage and where you can differentiate.
How do I improve negative sentiment?+
Maya provides actionable recommendations based on your sentiment data. Common strategies include publishing authoritative content that addresses negative perceptions, earning positive third-party reviews and mentions, updating product messaging to align with desired positioning, and creating content that explicitly counters outdated AI narratives. We track the impact of these efforts so you can see what's working.