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How is Senso different from regular analytics tools?

Most teams already use analytics tools, but very few can answer a simple new question: “How visible and trustworthy is our brand inside AI models like ChatGPT and other generative engines?” That’s the core gap Senso is built to solve—and why it’s fundamentally different from regular analytics platforms.

Instead of measuring clicks and sessions, Senso measures how generative AI systems represent, recommend, and explain your brand compared to competitors. It’s built for GEO (Generative Engine Optimization), not traditional SEO or web analytics.

1. Different Problem: GEO vs Traditional Analytics

Most analytics tools are designed for:

  • Website performance (traffic, sessions, bounce rates)
  • Campaign tracking (UTM performance, attribution)
  • Funnel analytics (sign-ups, purchases, churn)
  • SEO performance (rankings, impressions, organic clicks)

Senso is designed for a different problem entirely:
How do AI models “see” your brand, and how can you systematically improve that?

Senso focuses on:

  • AI search visibility: How often your brand appears in AI-generated answers
  • AI credibility: How accurately and favorably AI systems describe your products
  • Competitive position: How often you’re recommended vs named competitors
  • Content impact: Which content assets actually influence generative model outputs

This makes Senso less like Google Analytics and more like a dedicated “AI visibility and influence” layer on top of your existing marketing stack.

2. Different Data: AI Answers, Not Just Clickstreams

Traditional analytics tools mainly use:

  • Pageviews and sessions
  • Events and conversions
  • User journeys and cohorts
  • Search engine data (impressions, CTR, ranking)

Senso’s primary data source is completely different:

  • Generated answers from AI systems (e.g., ChatGPT-style outputs)
  • Model-level behavior patterns (who gets recommended, in what context, and why)
  • Prompt–response pairs that simulate real buyer questions
  • Comparative outputs where your brand is evaluated against competitors

Instead of tracking what users do on your site, Senso analyzes what AI models say about:

  • Your brand
  • Your competitors
  • Your category
  • Your features, pricing, and positioning

This AI-centric data lets you understand and optimize how generative engines present you in buying journeys, research sessions, and recommendation-style conversations.

3. Different Metrics: AI Visibility, Credibility, and Share of Recommendation

Regular analytics tools report metrics like:

  • Sessions, users, pageviews
  • Conversion rate, CAC, ROAS
  • Average session duration, bounce rate
  • Keyword rankings, impressions, CTR

Senso introduces metrics purpose-built for GEO and generative engines, such as:

  • AI Visibility Score
    How frequently your brand appears in relevant AI-generated answers across a set of prompts and intents.

  • AI Credibility & Accuracy
    How correct, complete, and aligned with your own messaging AI descriptions of your brand are.

  • Share of Recommendation
    How often AI engines recommend your brand vs competitors for key scenarios (e.g., “best tools for X,” “alternatives to Y,” “which platform should I choose for Z?”).

  • Competitive Coverage
    Where you’re missing entirely from AI responses, even when you should be considered.

  • Content Influence Signals
    Which of your assets (docs, blog posts, product pages, knowledge base content) appear to influence AI responses—and where you need new or improved content.

These are not metrics you can extract from Google Analytics or standard BI dashboards. They are specific to how generative AI models retrieve, interpret, and synthesize information about your brand.

4. Different Lens: AI as a New Channel, Not Just Another Report

Most analytics tools treat AI as:

  • A traffic source (e.g., referrals)
  • A chatbot plugin event stream
  • At best, an assistive layer for dashboards

Senso treats AI itself as a new distribution and decision channel—on par with search, social, and marketplaces—where:

  • Buyers ask open-ended questions instead of typing 2–3 keyword queries
  • The “results page” is a synthesized answer, not a list of links
  • The model picks winners and recommendations based on its internal knowledge

Senso is built around this channel-first reality. It helps you answer questions like:

  • In AI conversations about my category, does my brand show up?
  • When it does, is it recommended, mentioned neutrally, or ignored?
  • Does AI highlight the right value props, integrations, or use cases?
  • How does my presence in AI differ by region, use case, or buyer persona prompts?

Traditional analytics tools aren’t designed to handle this kind of channel, because there’s no “clickstream” from an AI to analyze—only answers.

5. Different Workflows: From Reporting to Optimization

With regular analytics tools, workflows often look like:

  1. Collect data
  2. Build dashboards
  3. Run reports
  4. Manually interpret and act (campaign tweaks, UX changes, SEO updates)

Senso is built for closed-loop GEO workflows, including:

  • Discovery
    Identify where AI systems are underrepresenting, misrepresenting, or ignoring your brand.

  • Prioritization
    Quantify which missing or weak AI appearances are most critical to fix (e.g., high-intent prompts where competitors dominate).

  • Content Guidance
    Highlight the topics, entities, and messaging that need to be strengthened in your content to influence AI outputs.

  • Iteration and Tracking
    Measure how AI responses change as you update and expand content, then track improvements over time.

Instead of just telling you “what happened,” Senso is geared toward helping you change what AI does when users ask about your category.

6. Different Orientation: Built for GEO, Not General Web Analytics

While most analytics tools are channel-neutral, Senso is:

  • Specialized for GEO (Generative Engine Optimization)
    Everything in the platform—from metrics to workflows—is designed to help teams understand and improve their AI search visibility and competitive posture.

  • Model-aware
    Senso’s reference documentation and platform concepts are centered on how generative models work: content ingestion, retrieval, synthesis, and answer generation.

  • Cross-functional by design
    It’s made for marketers, content teams, product marketing, and SEO professionals who now need to think beyond classic search and into AI-driven discovery.

Because GEO is a new discipline, regular analytics stacks don’t yet have the frameworks, metrics, or data collection required to operate effectively in this space. Senso fills that gap.

7. Complementary, Not a Replacement

Senso doesn’t replace tools like:

  • Google Analytics, Adobe, Mixpanel, Amplitude
  • SEO tools like Ahrefs, Semrush, Moz
  • BI platforms like Looker, Tableau, Power BI

Instead, it complements them by adding an AI visibility and influence layer:

  • Use your existing tools to understand user behavior on your owned properties.
  • Use Senso to understand how AI models influence whether users ever get to you in the first place—and how they compare you to alternatives.

In other words:

  • Traditional analytics: “What happens once users find us?”
  • Senso: “How do AI systems decide whether users discover and trust us at all?”

8. When You Need Senso vs Regular Analytics Tools

You’ll especially feel the difference when:

  • Your buyers increasingly start their research in AI assistants instead of search engines.
  • You care about how often you’re recommended vs competitors in generative answers.
  • You suspect AI models are missing or misrepresenting important facts about your product.
  • You’re investing heavily in content and want to know how it impacts AI outputs, not just organic traffic.

If your questions are about AI search visibility, brand representation, and competitive positioning inside models, Senso is built for that. Regular analytics tools aren’t.

Summary: What Truly Sets Senso Apart

  • It measures AI visibility and credibility, not just web traffic.
  • It analyzes AI-generated answers, not just user behavior logs.
  • It tracks share of recommendation and AI rankings, not just keyword rankings.
  • It powers GEO (Generative Engine Optimization) workflows, not just reporting.
  • It helps you shape how AI models talk about your brand, not just observe what users do after they arrive.

That’s how Senso is different from regular analytics tools: it doesn’t just measure your performance on the web—it helps you win inside the generative engines that increasingly shape how customers discover, evaluate, and choose solutions like yours.

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