New260+ blocks and 240+ tools are now fully documented
DocumentationReferenceCore BlocksAnalytics & Monitoring
Block

Profound Block

AI visibility and analytics with Profound

The Profound block tracks how your brand appears across AI platforms. Use it to monitor visibility scores, sentiment, citations, bot traffic, referrals, content optimization, and prompt volumes through the Profound API.

Overview

PropertyValue
Typeprofound
Categorytools
Color#000000

When to Use

  • Measure brand visibility and share of voice across AI answer engines (visibility report, sentiment report)
  • Audit citations and understand citation share for a category over a date range
  • Track AI bot traffic and human referral visits to a domain
  • List and inspect content optimizations and run detailed optimization analyses for a given asset
  • Retrieve prompt volumes and query fanouts to understand search demand trends across AI platforms
  • Pull raw server logs or bot-identified logs for a domain for deeper auditing
  • Browse organizational metadata: categories, regions, AI models, domains, assets, personas

Configuration

Operation

Dropdown that selects which Profound API call to run. The chosen operation controls which other fields are shown and required. Default: visibility_report.

LabelID
List Categorieslist_categories
List Regionslist_regions
List Modelslist_models
List Domainslist_domains
List Assetslist_assets
List Personaslist_personas
Category Topicscategory_topics
Category Tagscategory_tags
Category Promptscategory_prompts
Category Assetscategory_assets
Category Personascategory_personas
Visibility Reportvisibility_report
Sentiment Reportsentiment_report
Citations Reportcitations_report
Query Fanoutsquery_fanouts
Prompt Answersprompt_answers
Bots Reportbots_report
Referrals Reportreferrals_report
Raw Logsraw_logs
Bot Logsbot_logs
List Optimizationslist_optimizations
Optimization Analysisoptimization_analysis
Prompt Volumeprompt_volume
Citation Promptscitation_prompts

API Key

Your Profound API key (required, password field). Store it as a workflow secret and reference it with {{PROFOUND_API_KEY}}.

Category ID

Category UUID (required). Shown for: category_topics, category_tags, category_prompts, category_assets, category_personas, visibility_report, sentiment_report, citations_report, prompt_answers, query_fanouts.

Domain

Domain string such as example.com (required). Shown for domain-scoped operations: bots_report, referrals_report, raw_logs, bot_logs.

Domain (Citation Prompts)

Stored as sub-block id inputDomain. A domain such as ramp.com (required). Shown only for citation_prompts.

Asset ID

Asset UUID (required). Shown for list_optimizations and optimization_analysis.

Content ID

Content/optimization UUID (required). Shown only for optimization_analysis.

Start Date

Start of the reporting period in YYYY-MM-DD format (required). Shown for: visibility_report, sentiment_report, citations_report, prompt_answers, query_fanouts, prompt_volume, bots_report, referrals_report, raw_logs, bot_logs. Supports AI Wand generation.

End Date

End of the reporting period in YYYY-MM-DD format (required for the same operations as Start Date). Supports AI Wand generation.

Metrics — Visibility Report (visibilityMetrics)

Comma-separated metrics for visibility_report (required). Example: share_of_voice, visibility_score, mentions_count. Available values: share_of_voice, mentions_count, visibility_score, executions, average_position.

Metrics — Sentiment Report (sentimentMetrics)

Comma-separated metrics for sentiment_report (required). Example: positive, negative, occurrences. Available values: positive, negative, occurrences.

Metrics — Citations Report (citationsMetrics)

Comma-separated metrics for citations_report (required). Example: count, citation_share. Available values: count, citation_share.

Metrics — Bots Report (botsMetrics)

Comma-separated metrics for bots_report (required). Example: count, citations, indexing, training. Available values: count, citations, indexing, training, last_visit.

Metrics — Referrals Report (referralsMetrics)

Comma-separated metrics for referrals_report (required). Example: visits, last_visit. Available values: visits, last_visit.

Metrics — Query Fanouts (fanoutsMetrics)

Comma-separated metrics for query_fanouts (required). Example: fanouts_per_execution, total_fanouts, share. Available values: fanouts_per_execution, total_fanouts, share.

Metrics — Prompt Volume (volumeMetrics)

Comma-separated metrics for prompt_volume (required). Example: volume, change. Available values: volume, change.

Dimensions (advanced)

Comma-separated grouping dimensions (optional). Shown for: visibility_report, sentiment_report, citations_report, bots_report, referrals_report, query_fanouts, raw_logs, bot_logs, prompt_volume. Example: date, asset_name, model.

Date Interval (advanced)

Granularity for time-series aggregation (optional). Shown for report operations that include metrics. Options: day, hour, week, month, year.

Filters (advanced)

JSON array of filter objects (optional). Shown for all report operations and prompt_volume. Each object must have field, operator, and value keys. Example: [{"field":"asset_name","operator":"is","value":"Company"}]. Supports AI Wand JSON generation.

Limit (advanced)

Maximum number of results to return (optional, numeric). Shown for all report operations, category_prompts, and list_optimizations.

Cursor (advanced)

Pagination cursor from the previous response (optional). Shown only for category_prompts.

Prompt Type (advanced)

Comma-separated prompt type filter such as visibility, sentiment (optional). Shown only for category_prompts.

Offset (advanced)

Numeric pagination offset (optional). Shown only for list_optimizations.

Inputs & Outputs

  • Inputs:

    • apiKey (string) — Profound API key
    • categoryId (string) — Category UUID
    • domain (string) — Domain (e.g. example.com)
    • inputDomain (string) — Domain for citation prompts
    • assetId (string) — Asset UUID
    • contentId (string) — Content/optimization UUID
    • startDate (string) — Start date (YYYY-MM-DD)
    • endDate (string) — End date (YYYY-MM-DD)
    • metrics (string) — Comma-separated metrics to retrieve
    • dimensions (string) — Comma-separated dimensions
    • dateInterval (string) — Date grouping interval
    • filters (string) — JSON array of filter objects
    • limit (number) — Max results to return
    • offset (number) — Pagination offset
    • cursor (string) — Pagination cursor
    • promptType (string) — Prompt type filter
  • Outputs:

    • response (json) — API response data

Tools

Each operation maps directly to a dedicated Profound tool (profound_<operation>). All tools use a Profound API key in the X-API-Key header.

profound_list_categories — List all organization categories.

profound_list_regions — List all regions tracked in the organization.

profound_list_models — List all AI models tracked in Profound.

profound_list_domains — List all domains in the organization.

profound_list_assets — List all assets (websites/brands) in the organization.

profound_list_personas — List all buyer/user personas in the organization.

profound_category_topics — List topics for a specific category (requires categoryId).

profound_category_tags — List tags for a specific category (requires categoryId).

profound_category_prompts — List prompts for a specific category with optional cursor-based pagination, prompt type, topic/tag/region/platform filtering (requires categoryId).

profound_category_assets — List assets scoped to a specific category (requires categoryId).

profound_category_personas — List personas scoped to a specific category (requires categoryId).

profound_visibility_report — POST report query for AI share-of-voice and visibility scores for a category over a date range. Metrics: share_of_voice, mentions_count, visibility_score, executions, average_position.

profound_sentiment_report — POST report query for positive/negative sentiment data for a category over a date range. Metrics: positive, negative, occurrences.

profound_citations_report — POST report query for citation count and citation share for a category. Metrics: count, citation_share.

profound_query_fanouts — POST report showing how AI models expand prompts into sub-queries for a category. Metrics: fanouts_per_execution, total_fanouts, share.

profound_prompt_answers — POST query that retrieves raw prompt-answer pairs for a category over a date range.

profound_bots_report — POST report of AI bot traffic visiting a domain. Metrics: count, citations, indexing, training, last_visit. Uses API v2.

profound_referrals_report — POST report of human referral traffic from AI platforms to a domain. Metrics: visits, last_visit. Uses API v2.

profound_raw_logs — POST query for raw server traffic logs for a domain with optional dimension and filter support.

profound_bot_logs — POST query for bot-identified visit logs for a domain with optional dimension and filter support.

profound_list_optimizations — GET list of content optimization entries for a given asset UUID, with limit/offset pagination.

profound_optimization_analysis — GET detailed content optimization analysis for a specific content item within an asset (requires assetId + contentId).

profound_prompt_volume — POST query for keyword/prompt search-demand volume across AI platforms. Metrics: volume, change. Dimensions include keyword, date, platform, country_code, matching_type, frequency.

profound_citation_prompts — GET prompts that cite a specific domain across AI platforms (requires inputDomain).

YAML Example

profound_1:
  type: profound
  name: "Profound"
  inputs:
    operation: "visibility_report"
    apiKey: "{{PROFOUND_API_KEY}}"
    categoryId: "00000000-0000-0000-0000-000000000000"
    startDate: "2026-01-01"
    endDate: "2026-01-31"
    visibilityMetrics: "share_of_voice, visibility_score, mentions_count"
    dateInterval: "day"
  connections:
    outgoing:
      - target: next-block-id