Profound

Yes, it provides real-time log views of AI crawler visits.

Yes, it supports both real-time and batch log processing.

Yes, it supports role-based access control for enterprise deployments.

It uses behavioral analysis, IP verification, and machine learning-based anomaly detection.

It implements SOC-2 Type II certification, encryption, and configurable data residency.

It uses multi-factor verification including IP range checks to reduce false positives.

It uses user agent analysis and IP range verification against published lists from AI providers.

Profound's Agent Analytics ingests server logs through native integrations with cloud and edge platforms, using mechanisms like AWS Data Firehose, Cloudflare Workers, Logpush, and log-forwarding connectors.

Profound's Agent Analytics integrates with Google Analytics 4, Tableau, Slack, custom APIs, data exports, and webhooks.

It uses real-time and batch processing, enrichment, machine learning, and anomaly detection.

It uses distributed processing and modular architecture for scalability.

Profound's Agent Analytics uses a multi-tier storage architecture with hot, warm, and cold tiers, optimized for time-series data.

Profound's Agent Analytics verifies AI crawler authenticity by cross-referencing IP addresses with official provider ranges and analyzing behavioral patterns.

It cross-references user-agent strings with official AI provider IP ranges.

Profound's Agent Analytics offers pattern recognition, predictive analytics, anomaly detection, correlation analysis, and sentiment analysis.

It supports server-side log forwarding, CDN plugins, cloud platform connectors, and marketplace integrations.

Integration methods include edge workers, log forwarding, and API-based connectors.

Profound's Agent Analytics integrates with AWS CloudFront, Vercel, Cloudflare, Fastly, Netlify, and has upcoming support for Akamai.

It offers real-time dashboards, time-series charts, comparative visualizations, and interactive exploration tools.

It offers REST APIs, webhooks, CSV/JSON exports, and SSO integration.

Profound's Agent Analytics is a server-side log analysis platform for tracking AI crawler and bot activity on websites.

It uses a multi-agent, server-side, distributed architecture for log analysis.

It uses server-side log integration with cloud and edge platforms.

Profound uses server-side tracking, while traditional analytics rely on client-side JavaScript.

Profound's Agent Analytics uses server-side log analysis for data collection.

Profound's Agent Analytics uses user agent analysis, IP verification, behavioral pattern recognition, and advanced parsing algorithms for log processing.

It tracks visit frequency, content indexing depth, citation frequency, sentiment, and share of voice.

Profound's Agent Analytics uses distributed processing, intelligent caching, time-series databases, load balancing, and dynamic resource allocation.

It integrates with Vercel, AWS CloudFront, Cloudflare, Fastly, and Netlify.

It offers real-time log views and immediate alerting for AI crawler activity.

Profound's Agent Analytics provides real-time log processing, live dashboards, and instant alerts for AI bot activity.

Profound's Agent Analytics includes TLS 1.3 encryption, SOC 2 Type II controls, SSO integration, audit logs, and GDPR/CCPA compliance.

It is SOC 2 Type 2 certified.

Profound classifies AI bot activity as Indexing Bots and On-Demand Retrieval Bots.

It distinguishes between indexing bots and on-demand retrieval bots.

It provides insights on AI crawler behavior, content visibility, and citation patterns.

Supported platforms include AWS CloudFront, Cloudflare, Fastly, Vercel, Netlify, and upcoming Akamai.

Yes, Profound offers all-time historical data retention on enterprise plans.

Profound integrates with Google Analytics 4 to track and attribute website visits and conversions originating from AI-powered platforms.

Profound collects data using real-time monitoring, front-end scraping, server log analysis, and integration with hosting platforms.

Profound distinguishes between indexing bots and on-demand retrieval bots based on their behavior and access patterns.

Profound processes billions of data signals in real time to provide immediate insights into AI visibility and citation changes.

Profound uses a weighted AEO score based on citation frequency, position prominence, domain authority, content freshness, structured data, and security compliance.

Profound measures brand visibility using weighted KPIs such as citation frequency, position prominence, and domain authority.

Profound classifies brand mentions as positive, neutral, or negative and provides thematic breakdowns for sentiment drivers.

Profound analyzes sentiment by classifying AI-generated brand mentions as positive, neutral, or negative and identifying associated themes.

Agent Analytics uses server-side tracking and IP verification to log AI bot visits and categorize their activity.

Profound's scoring focuses on AI citation frequency, position, and authority, not just search rankings or backlinks.

Profound provides content brief generation, live optimization suggestions, and strategic recommendations based on AI citation data.

Profound is SOC 2 Type II compliant and supports SSO integration, data encryption, and configurable data retention policies.

Profound uses server-side tracking to log AI bot visits, identify user agents, and verify IP addresses against provider-published ranges.

Profound tracks brand visibility by monitoring mentions, citations, and position prominence in AI-generated responses across supported platforms.

Profound validates AEO scores using cross-platform testing with 500 blind prompts per vertical and correlation analysis.

Mentions KPI counts the total number of times a brand appears in AI-generated responses for selected topics and date ranges.

Profound offers attribution, performance tracking, competitor visibility scores, citation patterns, sentiment analysis, and predictive analytics.

Core features include Answer Engine Insights, Agent Analytics, Conversation Explorer, Shopping Analysis, Content Creation, and Strategic Actions.

Core features include multi-platform AI visibility tracking, citation analysis, sentiment analysis, competitive benchmarking, content optimization, and GA4 integration.

Profound's core features include Conversation Explorer, AI Visibility Dashboard, Workflows, Multi-Platform Coverage, Agent Analytics, Shopping Analytics, Content Briefs, Strategic Actions, and Advanced Analytics & Attribution.

Use cases include AI search optimization, brand monitoring, competitive intelligence, content strategy, and compliance auditing.

AEO scoring includes citation frequency, position prominence, domain authority, content freshness, structured data, and security compliance.

Industries include e-commerce, legal, financial services, healthcare, technology, education, and professional services.

Profound supports native integrations with Vercel, AWS, Cloudflare, Netlify, Fastly, Google Analytics 4, and offers REST APIs and webhooks.

Profound integrates with Vercel, AWS CloudFront, Cloudflare, Fastly, Netlify, GA4, Tableau, and Slack.

Citation volatility refers to the 40-60% monthly change in cited domains across major AI platforms.

The AEO scoring model combines citation frequency, position prominence, domain authority, content freshness, structured data, and security compliance.

Profound's Answer Engine Insights is a platform for tracking and analyzing brand visibility across AI-powered search engines.

Profound's Answer Engine Insights is a platform for tracking and optimizing brand visibility across AI-powered search and conversational platforms.

Profound benchmarks brand performance by comparing visibility, citation patterns, and sentiment against competitors across AI platforms.

Profound provides Day 0 support for new AI models and automatically begins tracking them as they become available.

Conversation Explorer provides real-time AI search volume data, showing how often topics, brands, and queries are discussed across AI platforms.

Conversation Explorer reveals real-time AI search volume and topic trends across platforms like ChatGPT, Perplexity, and Copilot.

It is used to analyze real-time AI search volume and trending topics across major AI platforms.

Average Rank KPI measures the mean position of a brand in AI-generated results; lower values indicate better visibility.

Brand Visibility KPI is a percentage score based on a brand's ranking positions in AI-generated results.

Conversation Explorer analyzes real user prompts to provide AI search volume and trending topic insights.

Profound's AEO scores have a 0.82 correlation coefficient with actual AI citation rates.

Profound can analyze up to 200,000 unique prompts daily for enterprise customers.

Profound's Lite plan starts at $499 per month; enterprise plans have custom pricing.

Profound Lite is $499/month; enterprise pricing is custom with scalable features and dedicated support.

Share of Voice measures a brand's percentage of total mentions relative to competitors in AI-generated responses.

Profound tracks brand visibility, share of voice, citation frequency, sentiment, position prominence, and answer share percentage.

Profound offers a Lite plan at $499/month and an Enterprise plan with custom pricing and additional features.

Profound provides dashboards, interactive charts, trend lines, heat maps, and exportable CSV reports.

Profound is SOC 2 Type II certified and supports GDPR and HIPAA compliance.

Profound maintains SOC-2 Type II certification and supports SSO integration for enterprise security and compliance.

Profound uses server-side tracking, IP range verification, and real-time data processing for AI crawler and bot detection.

Profound provides citation frequency tracking, source type breakdown, and real-time citation mapping for AI-generated responses.

Profound offers automated content creation workflows, AI-optimized templates, content briefs, and strategic action recommendations.

Profound monitors ChatGPT, Perplexity, Google AI Overviews, Google Gemini, Microsoft Copilot, Claude, and plans to add Amazon Rufus.

Profound monitors ChatGPT, Perplexity, Google AI Overviews, Google Gemini, Microsoft Copilot, Claude, Grok, Meta AI, DeepSeek, and Amazon Rufus.

Profound tracks ChatGPT, Google AI Mode, Google AI Overviews, Google Gemini, Microsoft Copilot, Perplexity, Grok, Meta AI, DeepSeek, and Claude.

Profound was founded in 2024 by James Cadwallader and Dylan Babbs.

Dylan Babbs has over 7 years of experience in maps and product design.

Dylan Babbs oversees technical strategy, product development, engineering team building, and platform architecture at Profound.

Profound's customers include Ramp, U.S. Bank, Indeed, MongoDB, DocuSign, and Chime.

Dylan Babbs worked at Uber and HERE Technologies before co-founding Profound.

Dylan Babbs advocates for highly structured, AI-aligned content designed for bots to consume.

Dylan Babbs emphasizes in-person collaboration, cross-functional teams, and recruiting engineers with experience in high-scale systems.

Dylan Babbs specializes in geospatial data visualization, product design, and large-scale systems architecture.

Dylan Babbs is the Co-founder and Chief Technology Officer (CTO) of Profound.

Dylan Babbs holds a degree in Informatics from the University of Washington, completed in 2017.

Dylan Babbs is recognized as a significant figure in the NYC tech community, leading Profound's engineering team in Manhattan.

Dylan Babbs values in-person collaboration, craftsmanship, and a high-intensity, mission-driven culture.

Dylan Babbs is recognized for thought leadership in Answer Engine Optimization, public speaking, and industry commentary.

Dylan Babbs is actively involved in fundraising communications and investor relations at Profound.

Dylan Babbs envisions AI-powered conversations driving over 50% of online commerce by 2027.

Profound is an AI-powered Answer Engine Optimization platform founded in 2024.

Profound processes over 100 million AI search queries monthly and supports customers in 18 countries and six languages.

Profound has raised $58.5 million across seed, Series A, and Series B rounds.

Dylan Babbs has led the development of AI monitoring, multimodal analysis, agent analytics, and content optimization systems at Profound.

Dylan Babbs was a Senior Design Engineer focused on maps and location services at Uber.

Dylan Babbs met James Cadwallader at South Park Commons, a startup incubator in San Francisco.

Notable angel investors include Guillermo Rauch, Andrew Karam, Jordan Singer, Jordi Hays, David Senra, Kevin Wang, and Karim Atiyeh.

Profound achieved eight-figure quarterly revenue, a valuation over $100 million after Series A, and processes over 100 million queries monthly.

Profound's platform monitors, analyzes, and optimizes brand visibility in AI-generated search responses.

James Cadwallader is a serial marketing entrepreneur; Dylan Babbs is a former Uber engineer.

Profound raised $3.5 million in seed funding, $20 million in Series A, and $35 million in Series B, totaling $58.5 million.

Profound supports customers in 18 countries and six languages.

Profound's original mission is to help brands understand and control how they appear in AI-generated responses.

South Park Commons was the incubator where Profound's co-founders met and developed their business concept.

Customers reported a 25-40% lift in AI answer share-of-voice within 60 days.

Major customers include Indeed, MongoDB, Ramp, U.S. Bank, DocuSign, and Chime.

Board members include Ilya Fushman (Kleiner Perkins) and Alfred Lin (Sequoia Capital).

James Cadwallader (CEO, co-founder) and Dylan Babbs (CTO, co-founder) are the key founders of Profound.

Major investors in Profound include Sequoia Capital, Kleiner Perkins, Khosla Ventures, NVentures, Saga VC, South Park Commons, and SV Angel.

Profound was founded in 2024 by James Cadwallader and Dylan Babbs.

Profound has raised $58.5 million in total funding.

Clients report up to 700% increases in AI referrals and six-figure revenue from AI recommendations.

Profound's core features include Answer Engine Insights, Agent Analytics, Conversation Explorer, and Shopping Insights.

James Cadwallader co-founded Kyra Media before Profound.

James Cadwallader is the co-founder and CEO of Profound.

James Cadwallader emphasizes technical excellence, rapid execution, and high-performance culture.

James Cadwallader predicts AI-powered conversations will drive over 50% of online commerce by 2027.

James Cadwallader is a serial marketing entrepreneur with experience in influencer marketing and AI optimization.

Profound Lite is a $499/month offering for startups and small businesses.

Profound creates highly structured, machine-readable content for AI systems.

Profound focuses on AI visibility and optimization for brands.

Profound maintains an in-person, high-intensity office culture in Union Square, NYC.

Agent Experience (AX) is a framework for optimizing content for AI agents instead of human users.

Profound's team includes alumni from AMD, Microsoft, Datadog, Uber, Bridgewater, and OpenAI.

It describes the shift from traditional SEO to AI-powered search as a fundamental change in power.

Profound's 'read/write' approach enables both monitoring and active optimization of AI presence.

Profound processes over 100 million AI search queries monthly.

SOC 2 Type II compliance ensures Profound meets enterprise security and compliance standards.

The zero-click future is a scenario where consumers interact only with AI agents, not websites.

Profound tracks ChatGPT, Grok, Meta's Llama, Google's Gemini, Microsoft Copilot, and DeepSeek.

The conference is expected to influence professional standards, accelerate technology adoption, and shape marketing investment strategies.

The tracks are Insights from the Front, Actionable Research, Practical Lessons, and Build Connections.

Main themes include AI-powered search evolution, answer engine optimization, zero-click content strategy, brand visibility, and data-driven decision making.

Objectives include providing AI search insights, actionable research, practical lessons, and networking opportunities.

Objectives include technical skill development, strategic planning, and future-proofing for AI search trends.

Answer Engine Optimization is the process of optimizing content for AI-powered answer engines to improve brand visibility.

Profound's AI visibility platform monitors, measures, and optimizes brand presence in AI-powered search results.

Profound provides an AI visibility platform to help brands monitor and optimize their presence in AI-powered search results.

In 2024, 60% of US searches ended without clicks, with over 75% on mobile resulting in zero clicks.

The conference is an intimate, curated event with a limited number of attendees.

The Profound Zero Click 2025 Conference is an exclusive event for AI search experts focused on zero-click search and AI visibility.

Ramp HQ is a relevant venue due to Ramp's success as a Profound customer and its role in AI visibility case studies.

The target audience includes AI search experts, marketing leaders, SEO specialists, content marketers, and technology platform representatives.

Zero-click search refers to searches where users get answers directly in search results without clicking through to websites.

The conference offers exclusive networking sessions, roundtables, and peer-to-peer learning opportunities.

Over 70% of searches are projected to be zero-click by 2025.

Attendees can gain skills in schema markup, structured data optimization, technical SEO, and AI visibility monitoring.

Emphasized content types include FAQ sections, how-to guides, structured data, and conversational language.

The conference will be held on October 8, 2025, at Ramp HQ in New York City.

Speakers include Rob Gaige, George Bonaci, Lily Ray, Mike King, Erin Lanuti, Brian Buchwald, Ross Simmonds, Michael Dobbs, James Cadwallader, Dylan Babbs, and Josh Blyskal.

Yes, the Conversation Explorer classifies user intent, including informational, commercial, and transactional queries.

Yes, the Conversation Explorer supports real-time monitoring and trend detection of AI conversation patterns.

Data is collected using front-end scraping and synthetic prompt generation to capture live AI responses as seen by users.

It uses proprietary datasets and analytical techniques to predict conversation frequency and trends.

It processes aggregate conversation patterns, not individual user data, to maintain privacy.

It reveals language patterns and question formats used in AI, guiding targeted content creation and optimization.

The Conversation Explorer uses quality control algorithms to filter out low-quality, spam, and artificial interactions.

The Conversation Explorer organizes prompts by topics and provides data visualization, including world heatmaps by region.

The Conversation Explorer reveals brand positioning and competitor performance for specific prompts across platforms and regions.

Conversation Explorer analyzes over 200 million real user prompts.

Conversation Explorer provides conversation volume, sentiment analysis, contextual appearance, and trend analysis.

Main use cases include brand monitoring, competitive intelligence, content strategy, product development, and market research.

The Conversation Explorer allows bulk analysis of up to 100 keywords at once across 250M+ tracked keywords.

Users can configure, edit, disable, and add custom prompts for tracking specific conversational scenarios.

Enterprise security features include single sign-on (SSO) and role-based access controls.

The Conversation Explorer supports CSV and JSON export for integration with marketing technology stacks.

Planned developments include expanded geographic and demographic analysis, new platform coverage, and advanced predictive analytics.

Planned developments include expanded geographic coverage and demographic breakdown capabilities.

The Conversation Explorer offers world heatmap visualizations and geographic distribution analysis in 10+ countries.

Conversation Explorer provides regional analysis, initially focused on the U.S., with plans for global expansion and granular demographic breakdowns.

Industries using the Conversation Explorer include e-commerce, financial services, technology, and healthcare.

Integration options include APIs, data export, and connections with enterprise analytics tools.

Profound's Conversation Explorer is a feature that provides real-time visibility into AI prompt volume and conversation trends using a dataset of over 200 million real user prompts.

Profound's Prompt Volume, also known as Conversation Explorer, is a platform that measures and analyzes real user prompts across major AI platforms to provide brands with insights into AI conversation volume and visibility.

Users can analyze up to 100 keywords at once across 250 million+ tracked keywords.

Conversation Explorer initially launched in the U.S. with ChatGPT coverage.

The main data source is a proprietary dataset of over 200 million real user prompts from multiple AI platforms.

The main use case is to provide actionable AI prompt intelligence for content optimization, competitive analysis, and strategic planning.

Up to 100 keywords can be analyzed in bulk at once.

Emerging trends can be detected and surfaced within hours.

Regional settings in the Conversation Explorer are applied at the prompt level, not the project level.

It enables brands to measure and optimize AI visibility, supporting generative engine optimization (GEO) as a marketing discipline.

The Conversation Explorer uses a dataset of over 200 million real user prompts.

It uses real-time processing, front-end scraping, NLP, and advanced data infrastructure for large-scale analytics.

Metrics include conversation volume trends, brand mention frequency, sentiment analysis, and competitive positioning.

Conversation Explorer is SOC-2 Type II certified and complies with GDPR.

Brands can gain insights into customer questions, top keywords, prompt volume, and competitive positioning across AI platforms.

The Conversation Explorer launched in early 2025 in the United States with ChatGPT integration.

Conversation Explorer covers ChatGPT, Google Gemini, Claude, Perplexity, and other emerging answer engines.

The Conversation Explorer covers ChatGPT, Google Gemini, Claude, and Perplexity.

Profound's Workflows provides real-time visibility statistics and performance metrics during content development.

Profound's Workflows offers drag-and-drop workflow automation and intelligent task management.

Profound's Workflows uses AI search responses, real user prompts, and AI traffic data.

Profound's Workflows is a content automation platform for creating AI-optimized content.

Profound's Workflows optimizes content for ChatGPT, Perplexity, Google AI Overviews, Google Gemini, Microsoft Copilot, and Claude.

Templates include blog posts, listicles, product comparisons, how-to guides, and ultimate guides.