Profound

Understand and improve how AI answer engines mention, describe, and cite your brand to strengthen visibility and correct inaccurate narratives.

Discover what people ask AI, prioritize relevant topics and prompts, and shape content and visibility strategies around real conversation demand.

Understand how AI systems access and cite your content, improve site accessibility for crawlers, and measure human traffic driven by AI search.

Understand and improve product visibility, rankings, and checkout presence in AI shopping results.

Aim helps marketing teams find high-value opportunities, turn them into coordinated work, and measure the impact on AI visibility.

Automate marketing tasks with brand-aware AI agents, moving teams from campaign concepts to reviewed execution faster.

Helps AI Marketer produce more relevant, brand-aligned work by grounding it in evolving business knowledge and team preferences.

Improve content readiness for answer engines, identify page-level weaknesses, and turn recommendations into updates that can help earn citations.

Compare brand visibility across industries to see which competitors lead, which are gaining ground, and where your brand appears in AI Search.

Understand your brand’s AI presence and uncover opportunities to improve visibility and compete more effectively in answer engines.

Enterprise Brand And Marketing Teams

Global brands seeking AI-driven visibility and brand control.

Geography: Global

How we help: AI-driven brand visibility and governance across assistant ecosystems unify signals and accelerate content execution for enterprise brands.

Marketing Agencies And Service Providers

Large agencies managing multiple brands’ AI presence.

Geography: Global (NA and Europe)

How we help: Scalable AI visibility and workflow automation for multi-brand agencies.

Retailers And Ecommerce Brands

Retailers seeking AI-driven shopping visibility and product discovery.

Geography: Global

How we help: AI-driven shopping visibility and product discovery acceleration for retailers.

Services that design and implement content structure, entity signaling, and topical authority to increase citations from AI-powered answer engines and LLM search platforms.

Products: AEO Report, Agent Analytics, Answer Engine Insights, Content Optimization, Profound Index, Prompt Volumes

Analyze real consumer conversations with AI platforms to understand topic demand, audience demographics, search intent, and emerging interests.

Products: Prompt Volumes

Capabilities to design, execute, and measure personalized multichannel marketing campaigns, generate creative, automate campaign workflows, and analyze performance.

Products: Aim, Context Manager, Profound Agents

Monitoring competitor movement and share-of-voice across AI models to surface competitive shifts in AI-generated answers and inform reactive strategies.

Products: AEO Report, Answer Engine Insights, Profound Index, Prompt Volumes, Shopping

Visibility into how products surface in AI shopping and commerce conversations, including SKU-level placement, product attributes, merchant context, and competitive positioning.

Products: Shopping

Answer Engine Insights

Answer Engine Insights helps teams understand and improve how AI answer engines represent their brand. It tracks visibility, share of voice, sentiment, citations, and competitive rankings across major consumer AI platforms. Teams can use real-world or custom prompts, review responses captured directly from browser experiences, and investigate inaccurate claims, recurring narratives, and the sources influencing AI answers. Reporting can be compared across time, regions, topics, and audience personas.

• Track Brand Visibility And Share Of Voice
  See how often AI answers mention your brand and monitor your share of voice across tracked prompts, topics, and answer engines.
• Analyze Answers From Consumer Experiences
  Review AI responses captured from the platforms' front-end experiences, rather than API outputs, to understand what customers see.
• Reveal Brand Sentiment And Recurring Narratives
  Understand how AI portrays your brand, identify themes gaining ground, and examine the sources shaping those narratives.
• Identify Sources Influencing AI Answers
  Find the websites that AI cites when discussing your brand and assess the authority of those sources.
• Find And Correct Inaccurate Brand Claims
  Identify incorrect claims made about your brand in AI answers, trace them to their sources, and use the findings to guide corrections.
• Track Prompts That Matter To Your Audience
  Choose real user queries or create custom prompts tailored to your brand, products, competitors, and topics, then update the tracked prompts as needs change.
• Compare Brand Performance With Competitors
  See how your brand's presence compares with competitors and identify prompts where competitors receive more visibility or citations.
• Measure Visibility With Daily Prompt Runs
  Track prompts every day to account for variation in AI answers and measure visibility across responses over time.
• Monitor Major Engines Across Regions
  Compare brand presence across supported answer engines, languages, and regions to understand how AI representation varies by market.
• Find Content Gaps And Improve Visibility
  Identify prompts where competitors are more visible or cited, direct content work toward those opportunities, and return to Answer Engine Insights to track changes.
• Break Down Insights By Audience And Topic
  Explore differences in brand presence across time, regions, topics, and audience personas, and organize sentiment analysis with topics and tags.
• Reveal Related Queries Behind Prompts
  Understand how answer engines expand a query into related searches and use that perspective to examine the broader context around a prompt.
• Export Raw Insights To CSV
  Download raw Answer Engine Insights data as a CSV file for further analysis.

Prompt Volumes

Prompt Volumes reveals what people are asking AI answer engines by analyzing real user conversations. Teams can explore prompt volumes, trends, keyword relationships, audience demographics, and intent across AI platforms. They can use these insights to identify prompts worth tracking, understand competitive citations, and prioritize content for the topics and stages of the buyer journey that matter to their brand.

• Reveal Real AI Search Demand
  Ground analysis in real user conversations rather than API outputs or synthetic estimates, helping teams understand what people actually ask AI answer engines.
• Find High-Demand And Emerging Topics
  Use prompt volume and trend insights to understand which topics attract conversation and spot emerging areas before competitors do.
• Match Content To User Intent
  Understand the intent and underlying motivations behind AI conversations, then align content with discovery, consideration, and purchase prompts.
• Build Prompt Tracking From Real Data
  Use researched prompts and topic groupings to create or expand a tracking configuration, identify gaps in existing coverage, and choose representative prompts based on real conversation data.
• Compare Prompts Across AI Platforms
  Explore prompt data from multiple answer engines in one place to understand AI conversation demand across platforms.
• Explore Related Topics And Queries
  See how seed keywords connect to related subtopics and long-tail variations, making it easier to explore the broader conversation around a subject.
• Prioritize Content By Intent Volume
  Identify the highest-volume intents and focus content creation on areas where the platform indicates it can drive the most AI visibility.
• Find Competitive Citation Opportunities
  See which prompts and pages drive citations for your domain and competitors, identify co-citations, and uncover prompts where competitors are cited but your brand is not.
• Protect Privacy In Prompt Insights
  Analyze aggregated conversation insights using data that is anonymized and scrubbed of personally identifiable information, sourced from double opt-in panels.
• Analyze Keywords From Multiple Angles
  Move between distinct data views to examine keyword demand, user intent, audience demographics, and related terms.
• Track Keyword Groups Over Time
  Organize related keywords into lists and monitor the performance of specific initiatives or strategies across answer engines.
• Compare Demand Across Audience Segments
  Use platform, age range, and income bracket filters to examine how AI search demand for a keyword differs among audiences.
• Track Fresh Demand Across Regions
  Use regularly refreshed data and multi-region coverage to examine AI conversation demand across markets.

Agent Analytics

Agent Analytics uses server logs to track how AI crawlers access and interpret website content, which pages they visit, and whether AI-driven activity leads to human traffic. It provides real-time crawler monitoring, page and citation performance insights, technical recommendations, URL submission to select AI search indices, and benchmarking against pages in the Profound Network. Bot identities are verified against official IP ranges to help distinguish genuine crawlers from spoofed visits.

• Monitor AI Crawler Activity
  See AI crawler visits as they happen, understand whether they are indexing content or retrieving it in response to queries, and review how frequently they access your site.
• Capture AI Visits From Server Logs
  Analyze incoming server requests to gain visibility into AI crawler activity without depending on JavaScript execution or cookie-based client-side tracking.
• Track Pages Cited By AI
  Identify pages that AI systems reference in generated answers and use page-level performance insights to focus content optimization efforts.
• Attribute Human Visits To AI Search
  Connect visits from AI conversations and answer links to subsequent website traffic, so teams can understand whether AI-driven discovery brings people to their site.
• Improve Content Access For AI Crawlers
  Find technical issues that can prevent AI systems from reading important content and receive guidance on rendering, JavaScript dependencies, metadata, and structured data.
• Verify Genuine AI Crawlers
  Confirm crawler identities using provider-published IP ranges, helping ensure that reported AI visits reflect genuine bots rather than actors impersonating AI platforms.
• Identify Pages AI Crawlers Access
  See which URLs AI systems visit and how frequently they return, helping you understand how crawlers interact with your site's content.
• Compare AI Citation Performance
  Compare site and page citation performance against a large network of pages, including relevant industry and company-size peer groups, to understand how results measure up.
• Protect Data With Enterprise Controls
  Support enterprise data handling with encryption, SSO, role-based access control, secure log forwarding, SOC 2 Type II certification, and GDPR compliance.
• Score Content Accessibility
  Use accessibility scores to identify potential barriers to AI access and determine where content may need technical improvements.
• Submit New URLs For Discovery
  Proactively submit new content URLs to supported AI search indices rather than waiting for routine crawling to make the content discoverable.
• Connect Agent Analytics To Your Infrastructure
  Use pre-built connectors and flexible APIs to connect Agent Analytics with supported hosting, deployment, cloud, edge, and web platforms.
• Monitor Cache And Response Performance
  Review cache effectiveness and response-time analytics alongside crawler behavior to identify performance issues and potential optimization opportunities.

Shopping

Profound Shopping analyzes how products appear in ChatGPT Shopping, including their visibility, ranking, attributes, shopper sentiment, and checkout options. It tracks shopping-triggering prompts and individual SKUs, then highlights actions to improve product feeds, structured data, merchant listings, and product placement.

• Track Product Rankings And Visibility
  Monitor product visibility scores and rankings in shopping-triggered responses, compare placement against competitors, and identify categories where your pages are not appearing.
• Analyze Product Appearances By SKU
  Drill into individual products to see their appearance frequency, triggering prompts, related citations, and the attributes ChatGPT uses to describe them.
• Find Prompts That Trigger Shopping
  Identify queries and topics associated with product discovery, see how often they activate ChatGPT Shopping, and use those insights to guide content strategy.
• Fix Product Feeds And Structured Data
  Find product feed fields and structured markup that need attention to improve how ChatGPT identifies, describes, and displays your products.
• Check How AI Describes Products
  Review how answer engines categorize and describe product attributes so you can identify incorrect or incomplete representations in shopping results.
• Track Merchant Checkout Share
  See which retailers and direct stores own checkout options for your products and compare your brand’s share across merchants.
• Find Gaps In Competitor Coverage
  Discover product types and queries where competitors appear without your products, then use the findings to guide new pages or improvements to existing pages.
• Prioritize High-Impact Merchant Listings
  Use placement insights to focus catalog updates and listing improvements on retail partners driving the strongest ChatGPT Shopping placement.
• Understand AI-Influenced Buyer Perception
  Use shopper sentiment insights to understand how AI-generated descriptions may shape how buyers perceive your products.

Aim

Aim is Profound’s AI Marketer: a background marketing agent that uses Profound AI Search data, a team’s knowledge bases and sitemaps, and competitive signals to identify and rank opportunities. It turns selected opportunities into goal-based Projects with supporting data, plans, and tasks, then hands tasks off to Profound Agents. Teams can ask Aim questions, work with it on Agents, Documents, and Sheets, and track visibility and citation impact as work progresses.

• Find And Prioritize Relevant Opportunities
  Aim helps teams focus on opportunities tied to their brand and supported by relevant data, rather than sorting through signals manually.
• Turn Opportunities Into Actionable Plans
  Teams get a structured plan around a defined opportunity, with tasks and supporting information organized in one goal-based workspace.
• Hand Off Tasks To Ready-To-Run Agents
  Teams can move from an approved plan to Agent execution without having to set up each workflow from scratch.
• Measure Visibility And Citation Impact
  Project-level metrics help teams see whether the work they completed is affecting the goal, linking execution to measured outcomes.
• Ask Questions And Work Across Profound
  Teams can use Aim to explore data, get to the root cause behind metrics, and collaborate on work in other Profound tools.
• Keep Context And Outputs Together
  Teams can give tasks relevant information and reusable instructions, then find the work products in the same Project.
• Share Project Work With Teammates
  Teams can share a Project’s work and supporting information with colleagues while keeping Projects private by default.

Profound Agents

Profound Agents are customizable, autonomous AI workers built on Profound’s AI visibility data and brand context. They support marketing work such as content creation, campaign execution, AEO-optimized FAQs, AI trend monitoring, PR, and reporting. Teams can create agents by describing a job to the AI Marketer and giving it the tools it needs. Agents can run on schedules or triggers, show their reasoning for each run, and keep users in control of what is sent or published. They connect with supported tools and can hand off work through marketing workflows.

• Automate Diverse Marketing Tasks
  Delegate content creation, campaign execution, AEO FAQs, trend monitoring, PR, and reporting to AI workers.
• Create Agents By Describing The Job
  Describe the work conversationally and provide the necessary tools to set up an Agent.
• Ground Work In Brand Context
  Use Profound visibility data and company context to inform agent work.
• Run Work On Schedules Or Triggers
  Set Agents to run on a schedule or when a configured trigger occurs.
• Control What Gets Sent Or Published
  Review and control which agent outputs are sent or published.
• Review Reasoning For Each Run
  See the Agent’s reasoning for each run as it carries out its task.
• Connect Agents To Marketing Workflows
  Use supported integrations and Document steps to carry work through content and marketing workflows.

Context Manager

Context Manager is the layer in Profound where business knowledge is structured, remembered, and applied to AI Marketer work. It brings together source material from knowledge bases, brand kits, and connected conversations, then distills it into organized context about the company, market, offerings, audiences, strategy, and execution. It also captures personal preferences and asks for missing information when context gaps arise. Context updates as files are corrected, questions are answered, conversations are connected, and priorities shift, helping the AI Marketer make recommendations and produce work aligned with business goals, approved claims, terminology, tone, and team preferences.

• Ground AI Work In Brand Knowledge
  Gives the AI Marketer organized knowledge about the company and its brand to inform recommendations and work.
• Align AI Work With Brand Standards
  Helps the AI Marketer connect business context to its recommendations and execution, while applying brand terminology, approved claims, tone, formats, and constraints by default.
• Organize Context Into Six Brand Records
  Structures business context into defined records, making information about the company, market, offerings, audience, strategy, and execution available to inform AI Marketer work.
• Connect Brand Knowledge And Conversations
  Brings existing reference material and, when enabled, conversations into the context system, including shared Slack channels, email threads, and Gong calls.
• Distill Source Material Into Usable Context
  Transforms source material into organized business understanding rather than treating it as a flat collection of passages to search. Each generated context block shows its source for inspection.
• Ask For Missing Business Context
  Identifies when important information is missing and prompts for it, allowing answers to flow back into the stored context.
• Keep Business Context Up To Date
  Reflects new information and changing priorities in the context available to the AI Marketer, rather than relying only on a one-time onboarding form.
• Apply Individual Preferences To AI Work
  Lets the AI Marketer take team members' working preferences and priorities into account when responding and producing work.
• Fill Knowledge Gaps With Text, Voice, Or Files
  Provides multiple ways to supply missing information, including text, voice, files, or a response in a connected Slack thread.
• Inspect Sources And Edit Brand Records
  Makes the origins of generated context visible and lets users review supporting material or update the underlying source or Brand Record.

Content Optimization

Profound helps teams improve existing content for answer engines by analyzing page quality, citations, and crawler behavior. It scores content across readability, freshness, structure, information density, machine readability, and answerability, then provides recommendations with projected score impact. Teams can hand recommended fixes to an Agent, refresh articles, and use optimization insights to improve the likelihood that pages are cited in AI-generated answers.

• Identify Content Weaknesses
  See how a page performs across key content quality factors and identify the specific areas that need attention.
• Prioritize High-Impact Changes
  Use specific recommendations and projected score impact to determine which content changes are worth addressing first.
• Diagnose Page Performance
  Understand how citation performance and crawler access relate to page content, including cases where information visible to people is missed by AI crawlers.
• Apply Recommended Fixes
  Move from diagnosing a weak page to working through recommended content changes with an Agent.
• Refresh Declining Content
  Update existing articles and pages when their AI citation performance declines, using refreshed content structured for answer engines.
• Generate Article Improvements
  Receive clear, article-specific suggestions grounded in AEO insights to guide content improvements.
• Assess Citation-Ready Passages
  Evaluate individual retrievable passages against characteristics associated with how answer engines assess content.
• Add Relevant Internal Links
  Connect an article to relevant company-owned pages by finding candidates in the site's sitemap and inserting selected links.
• Track Content Freshness
  Review freshness as part of page scoring and follow citation changes over time to help identify content that may need attention.

Profound Index

Profound Index is a free, publicly available leaderboard that ranks brands by how often they appear in AI Search within their industry. It covers more than 50 industries and provides insights including co-mention analysis, topic clusters, mention position analysis, and LLM comparisons. Rankings are built from real user prompts sourced from double opt-in consumer panels, anonymized, and updated weekly.

• Compare Brand Visibility Across Industries
  See how brands rank in AI Search within their categories and identify leaders, rising competitors, and your brand's position.
• Ground Rankings In Real User Prompts
  Base industry comparisons on anonymized real-user conversations rather than assumed search behavior. Profound selects relevant prompts and topics by industry and filters toward open-ended questions.
• Discover Topics And Brands In Real Prompts
  See which topics and phrases people ask about and which brands are appearing in answers associated with those topics.
• See Your Brand's Position In AI Answers
  Understand where your brand appears in the sequence of brands mentioned by AI Search.
• Track Weekly Changes In Industry Rankings
  Follow changes in brand rankings with weekly refreshes across major answer engines.
• Identify Frequently Co-Mentioned Competitors
  Understand which brands appear alongside yours in AI Search answers within your industry.
• Compare Brand Visibility Across AI Models
  Use the Index's LLM comparison analysis to examine brand visibility across AI systems.

AEO Report

A free report that analyzes how a brand performs on answer engines and reveals opportunities to outpace competitors. Profound generates brand-relevant prompts and analyzes responses from ChatGPT, Perplexity, and Google AI Overviews. The report provides insights into AI visibility, source citations, brand sentiment, and content AEO. Responses are captured directly from the consumer experience rather than from API outputs.

• Understand Your Brand’s AI Presence
  See how your brand appears in responses from three major consumer answer engines.
• Analyze Brand-Relevant Answer Engine Prompts
  See how major answer engines respond to prompts generated for your brand, providing a view of its AI presence.
• Review Responses From The Consumer Experience
  Base your report on responses captured directly from the consumer experience, not API outputs.
• Review Sources Cited In AI Answers
  Understand which sources answer engines cite in responses about your brand.
• Assess Brand Sentiment In AI Answers
  Review how answer engines portray your brand to better understand its sentiment in AI-generated responses.
• Identify Content AEO Opportunities
  Use content AEO insights to uncover opportunities to improve how your brand appears in answer-engine responses.