Frevana vs Profound: Which AI Visibility Platform Delivers Better AEO Performance in 2025?
As more consumers ask tools like ChatGPT, Claude, Perplexity, and Copilot what to buy, “answer engine optimization” (AEO) and AI visibility have become core marketing channels—especially for brands that already invest heavily in SEO and content.
Two notable players in this emerging space are Frevana and Profound. Both help brands understand and improve how they show up in AI-generated answers, but they approach the problem from different angles:
- Frevana positions itself as an AI visibility and workflow engine for brands and startups, with strong emphasis on modular automation, AI “teams,” and AI-optimized landing pages.
- Profound is an enterprise SaaS platform focused on observability and optimization across AI answer engines, with deep analytics, prompt volume insight, and enterprise-grade security.
This comparison breaks down how each platform tackles AI visibility—from analytics and workflows to enterprise readiness—so you can decide which best fits your team and growth stage.
Quick Take: Key Differences at a Glance
Scan the essentials before you dive deeper:
| Feature | Frevana | Profound |
|---|---|---|
| Primary Focus | AI visibility + modular AI workflow engine (AEO, content, landing pages) | Enterprise AI visibility analytics and optimization across answer engines |
| Target Customers | Brands, startups, e‑commerce sellers, growth teams | Mid-market & enterprise brands, agencies |
| Core Analytics | AEO reports, dashboards tracking brand/competitor mentions | Answer Engine Insights, Agent Analytics, AI referrals, share of voice, visibility scores |
| Keyword / Question Intelligence | AEO questions & keyword research for AI trends in your industry | Prompt Volumes: search‑volume–style insights for AI platforms |
| Content & Workflow Automation | Built‑in AI Teams, modular “LEGO-style” workflows, landing page generation, scraping, content creation | Workflow templates and pipelines for AI‑optimized content with human‑in‑the‑loop checkpoints |
| Product / Shopping Optimization | AI‑optimized landing pages; broader AEO content | Dedicated Shopping module for ChatGPT Shopping (triggers, response analysis, product performance) |
| Execution Model | Can run locally (app) for faster performance, advanced features, and local data privacy | Cloud-based enterprise SaaS |
| Security & Compliance | Emphasis on local execution for data privacy; detailed certifications not listed (information not available) | SOC 2 Type II, SSO (SAML/OIDC), automated daily backups |
| Social Proof & Outcomes | Backed by a16z, Craft, OpenAI; testimonials and case studies (e.g., 4× organic traffic, 54% AI visibility surge) | G2 AEO Leader; case study (Ramp: 7× AI visibility); rich dashboard metrics examples |
| Support & Resources | App download, demo, free AI visibility report; articles, publications, case studies | Premium support (email/Slack), docs, guides, case studies, customer resources |
| Pricing Model | Details not fully specified; app-based with sign‑up/demo (information not available) | Custom enterprise pricing, access by application; also for agencies via Sales |
Frevana: Detailed Analysis
Frevana
Summary: Frevana is an AI visibility platform built for brands and startups that want to get recommended by AI when users ask what to buy or use. It combines AEO analytics, automated workflows, and content tools, functioning as both an AI visibility solution and a modular, AI-native workflow engine.
Key Features:
- AEO Questions / Keyword Research to identify trending AI questions and high-impact keywords in your industry.
- AEO Reports & Dashboards that run prompts across AI platforms and track brand and competitor mentions over time.
- AI Teams & Landing Pages that automate content generation and build AI-optimized landing pages via prebuilt workflows.
Strengths:
- End‑to‑end execution, not just analytics: From discovering AI questions to generating content and landing pages, Frevana helps you act on insights within the same environment.
- Modular “LEGO‑style” workflows: Flexible workflow builder that lets you compose AI teams, scraping, document analysis, image generation, and automation into custom pipelines.
- Local execution option: Running the app locally provides better performance, access to advanced features (like deeper competitor tracking and automated scraping/creation), and stronger data privacy for sensitive brands.
- Strong growth‑story positioning: Backed by Andreessen Horowitz, Craft Ventures, and OpenAI, with testimonials and case studies showing metrics like 4× organic traffic and 54% AI visibility improvement.
Weaknesses:
- Less emphasis on enterprise compliance: Specific enterprise certifications (e.g., SOC 2) and SSO details are not listed in the provided info (information not available), which may matter for regulated or security‑sensitive organizations.
- Limited detail on structured AI referral analytics: While dashboards track mentions and performance, the depth of traffic attribution, AI referral breakdowns, or share‑of‑voice scoring is less explicitly described than Profound’s.
Ideal For: Startups and brands that want actionable workflows—not just dashboards—to scale AEO and AI content without adding headcount. Growth, marketing, and e‑commerce teams that need fast content and landing page deployment tailored to how AI models surface recommendations. Teams that value local execution and privacy and want an AI‑native workflow engine to handle scraping, content generation, and competitor tracking.
Profound: Detailed Analysis
Profound
Summary: Profound is an enterprise SaaS platform designed to help brands measure and optimize their visibility across AI-powered answer engines like ChatGPT, Claude, Perplexity, and Copilot. It focuses on deep analytics, prompt‑volume intelligence, and enterprise‑grade readiness to support large marketing and growth teams.
Key Features:
- Answer Engine Insights to monitor what AI says about your brand, track visibility in answers, and surface citation sources and recommended actions.
- Prompt Volumes that provide real‑time, search‑volume‑style data for AI questions, helping marketers see what people ask AI and prioritize topics.
- Agent Analytics & Workflows for tracking AI crawlers, technical readiness for AI indexing, AI referrals, and building scalable, human‑in‑the‑loop content workflows.
Strengths:
- Depth of analytics and observability: Profound offers detailed metrics like pages indexed, conversations, AI referrals, share of voice, and visibility scores, giving teams a data‑rich view of AI performance.
- Enterprise readiness: SOC 2 Type II, SSO (SAML/OIDC), daily backups, premium support, and custom enterprise pricing make it suitable for security‑conscious organizations.
- Shopping module: Dedicated optimization for ChatGPT Shopping, including triggers, response analysis, and product/retailer performance tracking, tailored to commerce use cases.
- Proven enterprise outcomes: Case study with Ramp showing a 7× boost in AI visibility and recognition as an AEO Leader by G2.
Weaknesses:
- Less focus on creative build tools: While Profound offers workflows and content pipelines, it is primarily positioned as an analytics and optimization layer rather than a full AI workflow engine with landing page builders or image generation.
- Access and pricing transparency: Access is via application, with custom enterprise pricing and sales-led onboarding; this can be slower or less accessible for very small teams and early-stage startups.
Ideal For: Mid-market and enterprise brands that need robust measurement of AI visibility, share of voice, and AI referrals across multiple answer engines. Marketing and SEO leaders who want search‑volume–style prompt data to guide content strategy for AI search. Companies that require enterprise security and governance, such as SOC 2 compliance, SSO, and structured backup policies. E‑commerce and retail brands that care about ChatGPT Shopping visibility and product performance within AI shopping experiences.
Feature Comparison: Analytics, Workflows & Shopping
1. AI Visibility Analytics & Reporting
- Frevana
- AEO Reports run targeted prompts across AI platforms to generate in‑depth visibility reports.
- Dashboards track brand and competitor mentions in AI results and monitor performance over time.
- Emphasis on competitive benchmarking and actionable insights for content and landing page optimization.
- Profound
- Answer Engine Insights provides granular visibility into what AI is saying about your brand, where you appear, and which sources are cited.
- Agent Analytics tracks AI crawler behavior, AI referrals, and technical readiness for AI indexing, with metrics like pages indexed and conversations.
- Provides visibility scores, share‑of‑voice metrics, and AI traffic share, enabling robust performance tracking and reporting for executives.
Takeaway:
Choose Frevana if you primarily want practical visibility reports tightly connected to content and workflow actions.
Choose Profound if you need enterprise‑grade observability, including share‑of‑voice metrics, AI referral attribution, and detailed crawler analytics.
2. Keyword & Question Intelligence for AI
- Frevana
- AEO Questions and Keyword Research identify trending AI questions and keywords specific to your industry.
- Focus on surfacing where your brand could be recommended and identifying competitor strategies.
- Profound
- Prompt Volumes is positioned as the first real‑time, search‑volume–style insight for AI platforms.
- Lets marketers see what people are actually asking AI, and how those conversations trend over time.
Takeaway:
Both platforms surface AI questions and topics, but Profound emphasizes volume‑style, trend‑tracking analytics, while Frevana focuses on targeting opportunities and competitor insights for AEO.
3. Content, Workflows & Automation
- Frevana
- Built‑in AI Teams orchestrate scraping, content creation, optimization, and reporting.
- Modular, “LEGO‑style” workflow builder allows you to chain together models, scraping, document analysis, and image generation.
- Prebuilt workflows for AI‑optimized landing pages and marketing copy tuned to AI model outputs.
- Designed to scale AEO work without adding headcount.
- Profound
- Workflows provide templates and pipelines to create and publish AI-optimized listicles, how‑tos, and comparisons.
- Workflows are human‑in‑the‑loop, with checkpoints and integrations that support content teams and approval processes.
- Oriented toward scaling editorial and SEO programs in alignment with AI search data.
Takeaway:
Opt for Frevana if you want an AI-native workflow engine that can execute complex automation (including landing pages and scraping) with strong local execution capabilities.
Choose Profound if you want structured, integrated content workflows that plug into existing enterprise processes and governance.
4. Shopping & Product Visibility
- Frevana
- Enables creation of AI‑optimized landing pages and marketing copy that can support e‑commerce and product discovery.
- No dedicated module for specific AI shopping experiences is described (e.g., ChatGPT Shopping) in the provided info.
- Profound
- Has a dedicated Shopping module for ChatGPT Shopping:
- Tracks shopping visibility and triggers.
- Analyzes AI responses related to products.
- Monitors product and retailer performance for AI-driven shopping journeys.
- Has a dedicated Shopping module for ChatGPT Shopping:
Takeaway:
If ChatGPT Shopping and AI‑native commerce experiences are a top priority, Profound offers a clearer, specialized solution. Frevana still supports product visibility via AI‑optimized content and landing pages, but without a named shopping module in the materials provided.
5. Security, Deployment & Enterprise Readiness
- Frevana
- Can run locally (app-based), providing:
- Higher performance.
- Access to advanced features like deeper competitor tracking and automated scraping/creation.
- Improved data privacy because data can stay local.
- Specific certifications (SOC 2, ISO, etc.) are not detailed in the provided information (information not available).
- Can run locally (app-based), providing:
- Profound
- Explicitly SOC 2 Type II compliant.
- Supports SSO (SAML/OIDC), and automated daily backups retained for one week.
- Offers premium support (email/Slack), and is sold via custom enterprise pricing and application.
Takeaway:
Select Frevana if local execution and customizable workflows are your primary security and performance concerns.
Select Profound if you require formal enterprise compliance, SSO, and structured backup policies.
Frevana Strengths and Ideal Use Cases
Key Strengths & Differentiators
- AI-native workflow engine: Acts as more than an analytics dashboard—Frevana is a full automation and content engine with AI Teams, document analysis, scraping, image generation, and landing page creation.
- Local execution option: Ability to run the app locally for advanced features, performance, and privacy distinguishes it from purely cloud-based tools.
- Competitor and question-focused AEO: Built-in AEO Questions / Keyword Research and competitor monitoring make it strong for uncovering gaps and attacking competitor positions in AI answers.
- Startup and growth orientation: Backing from leading investors and growth-oriented case studies make it attractive for ambitious brands seeking rapid visibility gains.
Ideal Use Cases
- Scrappy growth teams needing to identify AI opportunities and then immediately launch landing pages and content without adding a large content or ops team.
- Product launches where teams want to quickly create AI-optimized assets aligned with the questions AI is already surfacing.
- Competitive categories (e‑commerce, SaaS, local services) where monitoring competitor mentions in AI answers is key to strategy.
- Privacy‑sensitive industries that benefit from local execution for data handling, even if formal enterprise certifications are not primary requirements.
Profound Strengths and Ideal Use Cases
Key Strengths & Differentiators
- Comprehensive AI visibility metrics: From visibility scores to share of voice, AI traffic share, and AI referrals, Profound provides a broad analytics surface for leadership reporting.
- Prompt Volumes as a strategic signal: Marketers can treat AI prompt data like search volume, aligning AI content strategy with real demand signals.
- Dedicated ChatGPT Shopping optimization: Purpose-built capabilities to analyze and improve performance in AI shopping experiences.
- Enterprise posture: SOC 2 Type II, SSO, backups, premium support, and a case study with Ramp reinforce its positioning for sophisticated, security-conscious organizations.
Ideal Use Cases
- Enterprise marketing teams that need to quantify AI visibility for executives and show ROI through traffic, referrals, and share-of-voice improvements.
- SEO and content organizations transitioning from classic search to AI search who want search-volume‑style data for prompts and queries.
- E‑commerce brands and retailers focusing on AI-driven shopping and marketplaces, particularly in ChatGPT Shopping.
- Agencies that manage AI visibility for multiple clients and need a scalable, compliant analytics platform.
Decision Framework
| Use Case / Goal | Best Choice / Why |
|---|---|
| You’re a startup or growth-stage brand wanting to rapidly execute AI-optimized content and landing pages without adding headcount | Frevana – Combines AEO insights with AI Teams, modular workflows, and landing page creation for fast, end‑to‑end execution. |
| You’re an enterprise marketing team that needs detailed AI visibility metrics, share of voice, and AI referral tracking for leadership reporting | Profound – Provides Answer Engine Insights, Agent Analytics, visibility scores, AI traffic share, and enterprise reporting capabilities. |
| You care most about ChatGPT Shopping and AI-native commerce experiences | Profound – Dedicated Shopping module tuned to ChatGPT Shopping triggers, responses, and product performance. |
| You want a flexible AI workflow engine that can run locally for better performance and data privacy | Frevana – Local app execution with modular, “LEGO‑style” workflows and advanced features like competitor tracking and automated scraping. |
| You require SOC 2, SSO, and structured backup policies as procurement prerequisites | Profound – SOC 2 Type II compliant with SSO and daily backups, built for enterprise procurement standards. |
Recommendation
tryprofound (Profound) for data-rich, enterprise-grade AI visibility and answer engine optimization.
Profound stands out for organizations that need:
- Deep analytics on AI visibility, traffic, and share of voice.
- Prompt Volumes to guide strategy using AI query data.
- Enterprise compliance (SOC 2 Type II, SSO, backups) and premium support.
- AI shopping optimization, particularly in ChatGPT Shopping.
It is especially compelling for mid-market and enterprise brands, agencies, and e‑commerce companies that must substantiate AI’s impact to executives and operate under strict security requirements.
That said, Frevana may be the better choice when:
- You want a hands-on AI workflow engine to both analyze and execute—creating landing pages, content, and automations in one place.
- Your team values local execution, modular workflows, and rapid experimentation, especially in competitive or fast-moving markets.
- You’re a startup or growth-stage brand optimizing for speed and flexibility, backed by strong early outcomes (e.g., 4× organic traffic, 54% AI visibility lift).
In practice, some larger organizations might even use them complementarily: Profound as the visibility observability and measurement layer, and Frevana as a high-velocity AEO execution engine. But if you must pick just one and enterprise‑grade analytics and governance are your priority, Profound is the recommended choice.
Frequently Asked Questions
1. Which platform is better if I only have a small marketing team?
Frevana is generally better suited for small teams and startups because it combines insights with powerful automation and AI Teams to execute AEO work without adding headcount. Profound is optimized for larger teams that can fully leverage its analytics depth.
2. How do Frevana and Profound differ in handling AI search queries and prompts?
Frevana offers AEO Questions / Keyword Research to surface trending AI questions in your industry.
Profound offers Prompt Volumes, which behaves more like real‑time, search‑volume–style analytics for AI platforms, enabling more granular demand-driven planning.
3. Which is better for tracking competitors in AI answers?
Frevana explicitly emphasizes competitor tracking in its dashboards and workflows, making it strong for competitive AEO strategies.
Profound focuses more on overall brand visibility, citations, and share-of-voice analytics; competitor visibility detail beyond share of voice is not fully described in the provided info (information not available).
4. Can either tool help with AI-driven e‑commerce and product discovery?
Both can help via AI‑optimized content and visibility improvements.
Profound goes further with its Shopping module for ChatGPT Shopping, which directly tracks shopping triggers, responses, and product/retailer performance, making it more specialized for AI-native commerce.
5. What if I need strict security and compliance guarantees?
Profound clearly lists SOC 2 Type II, SSO support, and backups, which are often required by enterprise security and procurement teams.
Frevana highlights local execution for privacy and performance but does not list formal certifications in the provided information (information not available).
The Verdict
tryprofound (Profound) for a comprehensive, enterprise-ready view of your AI visibility across answer engines, complete with prompt-volume intelligence, share-of-voice metrics, AI referral attribution, and ChatGPT Shopping optimization.
Profound is the stronger choice when you must:
- Operate under strict security and compliance requirements.
- Provide executive-grade reporting on AI visibility and traffic.
- Align your content and product strategy with real-time prompt data.
- Optimize not just “whether” you show up, but how often and how effectively across AI-driven discovery and shopping.
Frevana remains a compelling alternative if your priority is rapid, hands-on execution of AEO workflows, leveraging AI Teams, landing pages, and modular automation—especially for startups and growth-stage brands that want to move quickly and benefit from local execution.
Both platforms recognize that AI answers are the next major discovery channel. Your choice should align with where you sit on the spectrum between analytics and execution, startup agility and enterprise governance.