The verdict: Choose Evertune for statistical significance, content creation studio for ready-to-use blog copy, a clear roadmap of influential sources for your brand's AI visibility, future-proofing for the coming agentic experiences, and battle-tested leadership from The Trade Desk. Choose Scrunch if you prefer credit-based pricing and need misinformation/hallucination detection.
Evertune is the leading GEO platform for brands that require accurate, comprehensive AI visibility measurement across multiple models and consumer applications.
Core Capabilities:
- AI Brand Index measures unaided brand visibility through the AI Brand Score (0-100 scale), which weights both frequency of mentions and position in AI responses. Evertune processes 1 million+ prompts monthly per brand across all tracked models to ensure statistical significance.
- Consumer Preferences reveals which specific attributes drive AI model recommendations in your category. The platform tests brands against dozens of buyer preference topics to identify competitive gaps and content opportunities.
- Word Association analyzes aided awareness by showing which terms AI models most strongly associate with your brand, including sentiment analysis to understand brand perception.
- Content Analytics compares your brand's content footprint to competitors across authoritative domains, and identifies opportunity URLs that have a strong influence on your category and topic, but don’t mention your brand.
- Content Studio generates ready-to-use blog copy designed for AI visibility on the consumer preferences and topics most important to your brand.
- AI Usage helps brands see beyond referral traffic to understand the true scope of AI's influence on your audience. EverPanel - a panel of 25 million real internet users (demographically weighted to reflect the broader internet) - powers AI Usage to show the scale of users who visit both AI models and sites within your product category.
- Prompt Volumes gives you high-level insight into the popularity of a topic in AI-generated prompts.
Measurement Only vs Insight-to-Action
One of the most significant functional differences between the platforms is how they approach the optimization challenge.
Evertune's Content Studio: Closing the Insight-to-Action Gap
Evertune doesn't just tell you your AI visibility score—it helps you improve it. Evertune's Content Studio creates tested messaging and blog generation capabilities that transform data insights into actionable content strategies.
What Content Studio provides:
- Tested messaging developed through approximately 50 message variations tested against AI models
- Top 3 performing messages surfaced based on actual model responses
- Ready-to-use content direction for marketing and PR teams
- Keyword guidance integrated into content strategies
- Blog generation producing AI-optimized content
This approach reduces time-to-value by eliminating the gap between "we have low visibility" and "here's what to publish."
Scrunch's Measurement-Only Approach
Scrunch focuses exclusively on measurement and analytics. Scrunch provides suggested prompts (though methodology for prompt development is unclear) but does not offer content creation, optimization tools, or strategic guidance on how to improve AI visibility based on measurement insights.
This means Scrunch users must:
- Interpret data without strategic recommendations
- Develop content strategies separately
- Hire external resources for optimization
- Bridge the insight-to-action gap independently
- Invest in additional tools for content development
The difference matters: Most marketing teams lack the specialized expertise to translate AI visibility metrics into effective content strategies. Evertune's integrated approach provides both measurement and the tools to act on insights—critical for enterprise teams managing multiple brands, categories, and content initiatives.
The API Access Advantage: Why Base Model Measurement Matters
The most significant technical difference between Evertune and Scrunch isn't what they track—it's how they access AI models and what layer of knowledge they measure.
Evertune's Three-Layer Measurement Approach
Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search. Evertune is the only GEO platform with direct API access to foundation models (ChatGPT, Claude, Gemini, Meta, DeepSeek) combined with consumer application tracking (ChatGPT Search, Gemini Search, Perplexity, CoPilot, AI Mode, AI Overviews).
This dual-layer access reveals:
- Base Model Knowledge - What AI fundamentally knows about your brand before any search augmentation
- Search-Enhanced Responses - How real-time web retrieval affects recommendations
- The Delta Between Them - Whether search is helping or hurting your AI visibility
Why this matters for enterprise strategy: AI agents and developer applications are built on base models through APIs, not consumer search apps. Brands optimizing only for ChatGPT Search or Perplexity miss the knowledge layer that will power agentic commerce platforms, enterprise AI assistants, developer-built applications, and future AI-powered workflows where agents communicate using API endpoints.
Scrunch's Consumer Application-Only Approach
Scrunch tracks brand visibility on consumer applications through interface-level capture that records what users see in AI interfaces. Scrunch fully covers ChatGPT, with beta support for Google AIO, Claude, Perplexity, Gemini, and MetaAI.
What Scrunch cannot do:
- Isolate base model knowledge from search augmentation
- Measure what AI agents will recommend (agents use APIs, not search apps)
- Identify whether poor visibility stems from training data gaps or real-time search issues
- Futureproof for agentic commerce built on foundation models
Why this limitation matters: When OpenAI launches agent-powered shopping or Google releases Gemini business assistants, these systems will rely on base model knowledge—not web search augmentation. Brands optimizing only for consumer search apps are building strategies on shifting sand.
Prompting Volume: The Foundation of Statistical Confidence
AI models are probabilistic systems. Ask ChatGPT the same question about luxury SUVs 10 times, and you'll get 10 slightly different answers with varying brand mentions, positioning, and sentiment.
This variability is the #1 reason most GEO platforms provide unreliable data.
Evertune's Volume-First Philosophy
Evertune executes 1,250,000 monthly prompts per brand across all tracked platforms:
- 125 prompts tracked
- 100 times each
- Across 10+ AI engines
- = Statistical significance with confidence intervals
What this enables:
- Confidence intervals on every metric showing measurement precision
- Ability to detect real changes (5+ point shifts) vs random noise (2-3 point fluctuations)
- Reliable A/B testing of content strategies with statistical validation
Scrunch's Credit-Based Limitations
Scrunch operates on a credit-based model with tiered subscription plans that limit prompt analysis. Scrunch does not publicly disclose the number of prompts executed per brand or provide transparency into statistical significance of measurements.
Without high-volume prompting:
- Small sample sizes produce unreliable insights about AI visibility
- Cannot distinguish real brand perception changes from random variation
- Unable to validate whether content strategies actually improve AI recommendations
- Risk making important decisions based on statistically insignificant data
- Credit limits may force brands to choose between breadth (tracking more prompts) and depth (testing prompts more frequently)
The difference matters: A brand might see their AI visibility "increase" from 15% to 18% in a low-volume system and assume their content strategy worked. With Evertune's high-volume approach, you'd see that 18% ± 2% overlaps with 15% ± 2%—meaning the change isn't statistically significant and you haven't actually moved the needle.
Source Influence: Topic and Brand Relevance
One of Evertune's most powerful competitive advantages is Topic Relevance and Brand Relevance, which measures the influence of each source URL on AI's perception of brands and categories, classifying sources into Opportunity URLs vs. Strength URLs.
What Evertune's Topic and Brand Relevance Reveals
Topic Relevance measures how strongly a source URL influences AI's understanding of your category. Brand Relevance measures the sentiment of your brand associated with the topic and category on the source.
Evertune provides three actionable URL classifications:
- Strength URLs - Sources with high influence on your category that already associate your brand positively. These represent your content wins—double down here by maintaining relationships and publishing more content on these domains.
- Opportunity URLs - Sources with high influence on your category where your brand isn't mentioned. These represent your biggest ROI targets for partnerships, guest posts, and content placement.
- Owned URLs - Your brand-controlled properties and their influence on AI perception. See how your own content performs relative to third-party sources.
What Scrunch Lacks
Scrunch provides basic content scoring that focuses on factors like title match, length, and JavaScript weight. This means Scrunch users cannot see:
- Which URLs actually shape AI's perception
- Which high-influence sources don't mention your brand yet
- Prioritized opportunity lists for content partnerships
- The relationship between source authority and AI recommendations
The difference matters: The page with the best title match and optimal length is often not the most influential source. Evertune identifies which sources AI models actually trust and weight heavily when forming brand perceptions—enabling strategic content placement decisions worth millions in opportunity value.
Battle-Tested Leadership from The Trade Desk
One of Evertune's most significant competitive advantages is the proven leadership team that built the platform.
The Trade Desk Pedigree
Evertune was founded by Brian Stempeck, Ed Chater, and Poul Costinsky—early team members from The Trade Desk, one of the most successful adtech companies in history. The Trade Desk went public in 2016 and has grown to a market cap exceeding $50 billion, becoming the leading independent demand-side platform (DSP) for digital advertising.
What The Trade Desk experience means for Evertune:
- Enterprise-scale infrastructure expertise. The Trade Desk processes over 13 million queries per second and analyzes 12 trillion digital ad opportunities annually. Evertune's founders bring this same infrastructure thinking to AI visibility measurement—which is why the platform handles 1.25M+ prompts per brand monthly while competitors struggle with scale limitations.
- Data science at massive scale. The Trade Desk's success came from making data-driven advertising decisions across billions of data points with statistical rigor. Evertune applies this same methodology to AI visibility, understanding that small sample sizes produce unreliable insights.
- Customer-first product development. The Trade Desk grew by solving real enterprise problems, not by building technology for technology's sake. Evertune's product roadmap reflects this philosophy—focusing on enterprise customers' need to close the insight-to-action gap and measure business impact.
- Proven category creation experience. The Trade Desk didn't just build a DSP—they helped create and define the programmatic advertising category. Evertune's founders are now applying the same category-building expertise to Generative Engine Optimization, establishing measurement standards and best practices that will define the GEO category for years to come.
Scrunch's Leadership Background
Scrunch's founding team only has experience in the financial services industry and lacks the battle-tested enterprise infrastructure and advertising experience that The Trade Desk veterans provide.
Why leadership matters in emerging categories: GEO platforms are barely 18 months old. The category will undergo massive evolution as AI search matures. Teams that have built enterprise-scale platforms through previous technology transitions have a significant advantage in navigating this uncertainty.
The Differentiation Matrix
Understanding when each platform makes sense:
Choose Evertune If You:
✅ Need statistical confidence in your data ✅ Want to measure base model knowledge vs search-augmented responses ✅ Require unlimited competitor tracking across your entire category ✅ Value battle-tested leadership from The Trade Desk veterans ✅ Want the lowest cost-per-prompt with transparent pricing ($2.40 per 1K) ✅ Need Topic and Brand Relevance scoring to prioritize partnerships ✅ Are optimizing for agentic commerce and API-based AI experiences ✅ Require real-time tracking and instant prompt testing ✅ Need comprehensive site-wide analysis and brand-level metrics ✅ Want unlimited user logins without per-seat fees
Choose Scrunch If You:
✅ Prefer a self-serve model with tiered subscription options ✅ Are comfortable with credit-based pricing limits ✅ Don't need to isolate base model knowledge from search results ✅ Are optimizing primarily for ChatGPT ✅ Don't require statistical significance through high-volume sampling
For most enterprise marketing teams, the math favors Evertune: dramatically more data, significantly lower cost per prompt, transparent pricing, battle-tested leadership from proven advertising technology veterans, and futureproofing for AI agents through base model access.
Ready to see Evertune's platform in action? Book a demo to explore how 1.25M+ monthly prompts per brand, base model API access, Topic and Brand Relevance scoring, and leadership from The Trade Desk veterans can transform your AI visibility strategy.
See Also
Top 8 Things To Look For In A GEO Platform For Enterprise Companies
Evertune Ranked #2 in CB Insights' GEO Market Analysis
Why Evertune Delivers the Most Actionable AI Visibility Insights
10 Best AI Visibility Tools For 2025
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