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Passionfruit Labs vs. Peec: The AI Visibility Tool 2025

September 2, 2025

Passionfruit Labs vs. Peec | AI  Visibility Tools 2025
Passionfruit Labs vs. Peec | AI  Visibility Tools 2025
Passionfruit Labs vs. Peec | AI  Visibility Tools 2025

Key takeaway: Essential Insights On AI Visibility Tool

1. Price Advantage: Passionfruit Labs delivers enterprise-grade AI search optimization at $20-$99/month with global coverage, while competitors like Peec AI charge €89-€499+ monthly with expensive add-ons.

2. Speed to Results: Passionfruit Labs reduces insight-to-action time compared to the industry standard, enabling real-time competitive response.

3. Proven ROI: Leading brands like HP, Bayer, and Nykaa achieved up to 2.7x AI revenue growth using Passionfruit, compared to modest 8% improvements from traditional tools.

4. Complete Attribution: Direct Google Analytics and Search Console integration connects AI search visibility to measurable business metrics like clicks, sessions, and attributed revenue.

5. Actionable Intelligence: Provides page-level insights and step-by-step optimization strategies rather than basic monitoring data without clear next steps.

6. Comprehensive Coverage: Tracks brand mentions, sentiment, citations, and competitor performance across all AI platforms (ChatGPT, Perplexity, Google AI) with unlimited seats included.

Overview of an brand performance dashboard in Passionfruit Labs.

The AI search revolution is here. ChatGPT, Perplexity, and AI Overviews now handle millions of daily queries, yet most businesses struggle to capture this traffic effectively.

While your competitors celebrate modest 8% improvements in AI search visibility, industry leaders like HP, Bayer, and Nykaa are achieving up to 2.7x AI revenue growth from AI search engines. The difference isn't luck, but choosing the right optimization approach.

That's exactly the problem we set out to solve at Passionfruit.

What is Generative Engine Optimization (GEO)?

GEO refers to optimizing your digital footprint for AI-powered search engines, ensuring your brand appears prominently in AI-generated responses and recommendations.

Current Challenges in AI Search Optimization

Organizations hoping for a strategic edge face major operational barriers with most current solutions

  • Identifying which specific pages AI engines actually cite and surface.

  • Reacting when competitors gain an AI search edge, what's your exact counter-strategy?

  • Converting insights into optimized, publish-ready content quickly.

  • Attributing AI search performance directly to measurable business outcomes.

Despite heavy investment, current platforms often fail to meet these needs.

Ready to take your AI search to the next level? Join the waitlist now!

Peec: Representative Example

Peec offers solid monitoring, daily tracking, multi-regional coverage, dashboard analytics, but deeper analysis exposes industry-wide limitations

The Data-to-Action Gap

  • Industry Standard: "Your brand received 47 mentions across AI platforms this week."

  • Actual Business Need: "Here's the specific page driving top performance, its key factors, and a proven strategy for replicating success."

This gap is the boundary between mere monitoring tools and true optimisation platforms.

Content Development Bottlenecks

Industry analysis indicates that traditional AI search tools create significant workflow inefficiencies. With platforms like Peec the insight-to-publication cycle can average up to 72+ hours. This delay stems from their fundamental design as monitoring systems rather than integrated optimisation solutions.

The typical workflow pattern: Identify opportunity → Export data → Conduct analysis → Develop content brief → Execute creation → Deploy content → Monitor results.

This extended time cycle, creates competitive vulnerability during critical market moments.

Passionfruit Labs vs. Peec: The Real Comparison

The following comparative analysis demonstrates Passionfruit's strategic advantages across key performance indicators

    Feature/Capability                     Passionfruit Labs                          Peec

Pricing

$20 - $99/month 

€89-€499+/month + expensive add-ons

AI Visibility Analytics

Complete visibility tracking across all AI engines

Limited visibility without actionable context

Citations & Brand Mentions

Full citation tracking with page-level source attribution

No integrated content tools to act on insights

AI Traffic Analysis

Direct GA/GSC integration for traffic attribution

No direct traffic attribution - limited to visibility metrics only

Prompt Configuration

Auto-create and optimize prompts globally

Auto-create prompt management

Centralized Knowledge Hub

Create brand artifacts that can be used to create content on point

Not available-requires external content management

Page-Level Insights

Yes - See exactly which pages AI engines surface

Domain and URL-level tracking is available, but limited optimization guidance

Actionable Strategies

Step-by-step, page-specific recommendations

Data without prioritization or clear next steps

Global Coverage

All countries are included in the base pricing, such as


$20/month  - 20 prompts

$49/month - 70 prompts

$99/month - 150 prompts

Limited by plan

covers 3 countries in starter(€89/month)

covers 5 Countries in Pro(€199/month)

covers 10+ countries in Enterprise plan(€499/month).

Integrations

Google Analytics, Search Console, Slack, Email

Limited API

Cross-platform Insights

Provides brand tracking across different platforms

Some tools don’t allow brand tracking across platforms

Revenue Attribution

Direct GA/GSC connection - Prove ROI

Visibility metrics without a revenue connection

Sentiment & Citation Tracking

Complete share of voice, sentiment, citations for the brand, as well as cite sources’ pages to understand which pages exactly are cited

Partial tracking - Incomplete mentions and displays sentiments for the brand only, and not on the top query

Team Collaboration

Unlimited seats

Plan-dependent restrictions

Content Gap Analysis

Opportunities & content gaps identified, and creates a comprehensive content strategy

Not included

Hidden Costs

No add-ons needed

€19-€499 for additional AI engines, such as

Open AI- $19- $49

Anthropic- $49-$159

Google- $89-$299

Join the Passionfruit GEO waitlist today and get ready for the future of search.

Passionfruit Labs Is Built Different, Built Better

Passionfruit represents a fundamental departure from traditional AI monitoring approaches, delivering a comprehensive Generative Engine Optimization (GEO) platform designed for measurable business impact.

Passionfruit developed, Passionfruit Labs to function as a marketer-friendly solution that makes Generative Engine Optimization transparent, actionable, and cost-effective. The platform specifically monitors brand visibility across prompts and topics, displays exact AI responses, and identifies where brands are or aren't mentioned and cited.

Passionfruit Labs development philosophy centres on a critical market insight, rather than simply documenting AI search activity, and organizations tools that optimize future AI search performance.

What Are The Core Platform Capabilities Of the AI Visibility Tool?

While other tools stop at monitoring, Passionfruit Labs completes the optimization loop

Analytics

1. Share of Voice

The primary interface displays detailed analysis with several key components:

  • Context-based Sentiment Tracking: Each entry shows specific context descriptions with corresponding sentiment scores and rankings

  • Ranking System:  Ranking based on performance metrics

  • Sentiment Scoring: Visual indicators show sentiment score

  • Date Tracking: Comprehensive timeline tracking 

Advanced Filtering and Search

The tool includes sophisticated filtering options

  • Domain-specific Analysis: Configurable for specific websites 

  • Date Range Selection: Custom date picker

  • Multi-platform Support: Tracks across 4 different platforms

  • Tag System: Topical analysis is provided by tagging each query to relevant topics to give you a better sense of your topical authority.

  • Prompt Analysis: Different prompts for comprehensive coverage

Visibility Share Analysis

The second major feature set focuses on market visibility

  • Time-series Tracking: Line graph showing visibility trends over time

  • Competitive Analysis: Rankings comparing multiple brands.

Visualization Capabilities

  • Line View: Trend analysis over time

  • Bar View: Comparative data visualization

  • Industry Ranking: Structured competitive analysis

The platform provides sentiment analysis, that provides businesses with actionable insights into their market position and brand perception across multiple digital platforms.

2. Citation Attribution System

See exactly where and how often your content gets mentioned. Passionfruit Labs tracks every time an AI platform references your website, giving you complete visibility into which pieces of content are your real performers. 

Advanced Capabilities

  • Page-level tracking: Monitor the exact pages and domains where your content earns citations

  • Cross-platform comparison: Switch between ChatGPT, Perplexity, Gemini and Anthropic models to identify opportunities

  • Performance metrics: Access comprehensive data, including average rankings, citation frequency, and latest crawl data

  • Competitive intelligence: Compare your citation performance against competitors

This systematic approach transforms citation data from passive metrics into active intelligence, empowering strategic content decisions backed by concrete performance insights.

3. Brand Mention

Track your brand's complete AI search footprint with four key metrics

Visibility tracking: Daily brand visibility across different models

Sentiment analysis: Monitor how positively or negatively your brand appears in AI responses

Average ranking: Track your position across AI platforms

Platform distribution: Detailed performance breakdown by individual platform.

Recent Mentions: Shows your brand references by platform, context, sentiment, and ranking for immediate action.

4. Competitor benchmarking

Competitor benchmarking shows search query performance and brand positioning across different platforms. The dashboard tracks where your brand appears versus competitors in search results.

Top Queries Analysis

Queries Where Competitors Are Mentioned But You Are Not

This dashboard shows critical queries where competitors have visibility, but your brand is missing. These represent missed opportunities where potential customers are actively searching for solutions in your space, but your brand isn't appearing in results.

Queries Where You Are Not Mentioned

This data shows queries where your brand lacks presence, with the top-performing queries. For example:

  • "ai seo services for online stores?" - 491 searches

  • "How to rank in AI answers?" - 374 searches

  • "how to get more leads from ChatGPT" - 326 searches

  • "Who are the experts in geo?" - 312 searches

  • "chatgpt seo services for my brand?" - 228 searches

Platform Distribution

The analysis covers multiple platforms, including:

  • Google (G)

  • LinkedIn

  • Reddit

  • YouTube

  • Twitter/X

  • Various AI platforms and tools

Brand Positioning Matrix

Share of Voice & Sentiment analysis with brands plotted across four quadrants:

High Share of Voice, Low Sentiment (Top Left)

  • Includes various SEO and marketing tools

  • Shows brands with high visibility but potentially negative sentiment

High Share of Voice, High Sentiment (Top Right)

  • Represents the ideal quadrant with both high visibility and positive sentiment

Low Share of Voice, Low Sentiment (Bottom Left)

  • Represents the least favorable position

Low Share of Voice, High Sentiment (Bottom Right)

  • Shows well-regarded brands but lacks visibility

  • Opportunity for increased marketing investment

Performance

AI Traffic

Passionfruit Labs plugs directly into Google Analytics and Google Search Console to connect AI search performance with real business metrics such as clicks, impressions, and attributed revenue. The platform monitors AI search performance and connects it to business metrics, helping demonstrate ROI for conversational AI investments.

Key points:

  • Direct integration with Google Analytics and Search Console

  • Connect AI performance with clicks, sessions, and attributed revenue.

  • Compare AI-driven vs classic organic performance easily.

Real Client Success Stories: The 2.7x AI revenue Growth Results

Marketing teams at leading brands have achieved tremendous AI search revenue growth within months with Passionfruit:

Industry Leaders Achieving Multiplicative Growth

  • HP: Documented substantial AI visibility improvement with direct revenue attribution

  • Bayer: Achieved significant growth in AI search-driven conversions

  • Nykaa: Multiplied AI search visibility and attributed revenue streams

  • GFuel: Enhanced brand mention quality and search result positioning

Actual performance improvement rather than incremental optimization.

Which GEO Tool Is Cost Effective?

Passionfruit brings enterprise-grade capability at affordable price range

  • $20–$99/month, no per-prompt restrictions, global coverage included.

  • No hidden add-ons: Unlimited engines, seats, integrations, all inclusive.

Compare this with platforms like Peec , where costs begin at €89 and can exceed €499/month (plus add-ons).

Who Benefits Most From These GEO Platforms?

Marketing Organizations: Need clear ROI measurement and direct business results.

SEO Teams: Demand actionable strategic intelligence, not raw data dumps.

Content Development Teams: Take advantage of data-driven, AI-cited strategy recommendations.

Enterprise Organizations: Get global scale without complexity or cost overload.

Growth-Stage Companies: Rapid, cost-efficient optimization for competitive response.

Conclusion

The AI search revolution has already transformed consumer discovery patterns. Strategic success requires optimization platforms built for this new reality rather than monitoring tools adapted from previous paradigms.

Passionfruit Labs is strategically designed for organizations requiring results-driven AI search optimization rather than basic monitoring capabilities.

Ready to join HP, Bayer, and Nykaa in achieving up to 2.7x AI revenue growth through AI search optimization? Join the waitlist now

FAQ

What is Generative Engine Optimization (GEO), and how does it differ from traditional SEO?

Generative Engine Optimization (GEO) is the practice of optimizing content specifically for AI-powered search platforms like ChatGPT, Perplexity, and AI Overviews to ensure your brand appears prominently in AI-generated responses. Unlike traditional SEO that targets keyword rankings on Google, GEO focuses on making your content citeable and recommendable by AI systems, requiring optimization for conversational queries and ensuring AI engines can easily reference and attribute your content.

How much does Passionfruit Labs cost compared to other AI search optimization tools like Peec?

Passionfruit Labs offers significantly more affordable pricing at $20-$99/month with global coverage and unlimited features included, while Peec starts at €89/month and can exceed €499/month plus expensive add-ons for additional AI engines. Passionfruit Labs includes unlimited seats, integrations, and countries in base pricing, whereas Peec restricts coverage to 3-10 countries depending on plan tier, making Passionfruit Labs more cost-effective for comprehensive AI search optimization.

Can Passionfruit actually prove ROI from AI search optimization efforts?

Yes, Passionfruit Labs directly integrates with Google Analytics and Google Search Console to track AI search performance and attribute it to measurable business outcomes like clicks, sessions, and revenue. Passionfruit has documented up to  2.7x AI revenue growth for clients like HP, Bayer, and Nykaa.

What makes Passionfruit Labs different from basic AI search monitoring tools?

Passionfruit Labs is built as a complete optimization platform rather than just a monitoring tool, offering actionable insights that can be implemented in under minutes versus the 72+ hour insight-to-action cycle of traditional monitoring tools. The platform provides page-level attribution, showing exactly which content AI engines cite, as well as automated content strategy suggestions based on competitor analysis and step-by-step optimization recommendations, rather than raw data without clear next steps.

Which businesses benefit most from AI search optimization with Passionfruit Labs?

Marketing organizations needing clear ROI measurement, SEO teams demanding actionable intelligence, content development teams seeking data-driven strategies, enterprise organizations requiring global scale without complexity, and growth-stage companies needing rapid competitive response benefits most from Passionfruit Labs. The platform is particularly valuable for businesses in competitive markets where AI search visibility directly impacts customer acquisition, as demonstrated by success stories from HP, Bayer, Nykaa, and GFuel, who have achieved growth rather than incremental improvements.

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