The verdict: Choose Evertune for statistical significance, enterprise-level infrastructure, a clear roadmap of influential sources for your brand's AI visibility, content creation studio for ready-to-use blog copy, future-proofing for the coming agentic experiences, and battle-tested leadership from The Trade Desk. Choose Peec if you're an SMB or small agency seeking simplicity, a 7-day free trial, and accessible pricing with pay-per-model add-ons.
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.
Enterprise Focus vs SMB Simplicity
A fundamental difference between Evertune and Peec is target market and product philosophy.
Evertune's Enterprise-First Approach
Evertune was built from day one to serve enterprise brands with complex requirements:
- Advanced analytics for sophisticated marketing teams
- Statistical rigor for data-driven decision making
- API access for future-proofing agentic experiences
- Scalable infrastructure handling 1M+ prompts monthly per brand
- Content Studio closing the insight-to-action gap
- Unlimited competitor tracking across entire categories
- Dedicated support ensuring platform value
Evertune's pricing reflects enterprise value delivery: comprehensive capabilities included in transparent $3,000/month starting pricing with no hidden costs or per-model upcharges.
Peec's SMB-Focused Philosophy
Peec launched in January 2025 with a clear focus on small-to-medium businesses, marketing agencies, and growing startups. Peec's value proposition centers on accessibility and simplicity:
- User-friendly interface described as "simple, not overwhelming"
- 7-day free trial reducing friction for small business testing
- Fast implementation for quick deployment
- Lower base pricing making AI measurement accessible to SMBs
- Pay-per-model pricing ($20/month extra per model) allowing graduated investment
- Basic measurement focus rather than advanced optimization tools
What this means in practice: Peec provides an accessible entry point for companies new to AI visibility measurement who prioritize simplicity over sophistication. Evertune serves enterprise brands requiring statistical confidence, advanced source influence analysis, content optimization tools, and infrastructure that scales to future needs.
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."
Peec's Measurement-Only Approach
Peec focuses exclusively on measurement and analytics. Peec 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 Peec 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 Peec 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.
Peec's Consumer Application-Only Approach
Peec tracks brand visibility on consumer applications through interface-level capture that records what users see in AI interfaces. Peec can access most AI models, but charges $20/month extra per model beyond their base pricing tier.
What Peec 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.
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 Peec Lacks
Peec focuses on measurement simplicity for SMBs and agencies. Peec does not provide source influence analysis, Topic and Brand Relevance scoring, or strategic prioritization of content opportunities.
This means Peec users see basic tracking data, but cannot identify:
- Which URLs actually shape AI's perception (influence ≠ frequency)
- 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: Knowing your brand was mentioned 50 times is helpful. Knowing which 5 mentions came from sources that actually influence AI model perceptions is strategic. Evertune provides the latter—identifying which sources AI models actually trust and weight heavily when forming brand perceptions.
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.
Peec's Leadership Background
Peec was founded in January 2025 with €7M in total funding (€1.8M pre-seed + €5.2M seed). Peec's founding team has experience in mobile gaming and software engineering, but lacks the advertising experience and pedigree 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. Evertune's founders have already pioneered one advertising technology category transformation—programmatic advertising—and are applying those lessons to GEO.
The Differentiation Matrix
Understanding when each platform makes sense:
Choose Evertune If You:
✅ Need statistical confidence in your data ✅ Need to measure base model knowledge vs search-augmented responses to future proof for agentic experiences ✅ Value battle-tested leadership from The Trade Desk veterans ✅ Need Topic and Brand Relevance scoring to prioritize partnerships ✅ Are optimizing for agentic commerce and API-based AI experiences ✅ Require integrated content optimization tools (Content Studio) ✅ Need enterprise-scale infrastructure handling 1M+ monthly prompts ✅ Are an enterprise brand with sophisticated requirements ✅ Need to close the insight-to-action gap with integrated tools
Choose Peec If You:
✅ Are an SMB, agency, or growing startup seeking accessible entry point ✅ Prefer simplicity over advanced capabilities ✅ Want a 7-day free trial to test before committing ✅ Are comfortable with pay-per-model pricing structure ✅ Want fast implementation with minimal onboarding ✅ Don't require statistical rigor or high-volume prompting ✅ Are optimizing only for consumer search apps ✅ Don't need content optimization tools (measurement only) ✅ Have limited budget for AI visibility tools
The choice depends on your organization:
For enterprise brands, choose Evertune: dramatically more data providing statistical confidence, integrated content optimization, battle-tested leadership from proven advertising technology veterans, and futureproofing for AI agents through base model access.
For SMBs and agencies seeking accessible entry points to AI visibility measurement, Peec's simplified approach, free trial, and lower base pricing may better match current needs—though they'll sacrifice statistical rigor, advanced capabilities, and enterprise infrastructure.
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, Content Studio optimization tools, and leadership from The Trade Desk veterans can transform your AI visibility strategy.
This analysis reflects publicly available information and internal competitive analysis as of November 2025. Platform features and pricing evolve rapidly in the GEO category. Verify current capabilities with vendors before final selection. Evertune is the Generative Engine Optimization (GEO) platform that helps brands improve visibility in AI search.
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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