Reddit Mentions Signal Schema

Source: autobound-reddit-company bucket

Last validated: 2026-01-08

signal_type: redditMentions bucket: autobound-reddit-company association: company description: Reddit discussions and mentions about companies refresh: monthly coverage: 2,000,000 companies

All 14 subtypes (validated against GCS)

subtypes:

buyingIntent
churnRisk
competitorMention
implementationHelp
industryTrend
integrationNeed
negativeReview
painPoint
positiveReview
pricingConcern
productFeedback
securityConcern
supportIssue
useCase

No top-level signal_category

categories: []

All 33 fields (validated against GCS)

fields:

Core fields

path: signal_id type: string description: Unique identifier for this signal
path: signal_type type: string description: Always "redditMentions"
path: signal_subtype type: string description: Signal subtype (see subtypes list)
path: detected_at type: string (ISO 8601) description: When signal was detected
path: association type: string description: Always "company"

Company object

path: company.name type: string description: Company name
path: company.domain type: string description: Company website domain
path: company.linkedin_url type: string description: LinkedIn company URL
path: company.industries type: array[string] description: Industry classifications
path: company.employee_count_low type: integer description: Lower bound of employee count
path: company.employee_count_high type: integer description: Upper bound of employee count
path: company.description type: string description: Company description

Data object - scores

path: data.salience_score type: float (0.0-1.0) description: How relevant/actionable the signal is
path: data.confidence_score type: float (0.0-1.0) description: Confidence in signal accuracy
path: data.recency_score type: float (0.0-1.0) description: How recent the discussions are

Data object - context

path: data.summary type: string description: AI-generated summary of discussions
path: data.sentiment type: string description: "Overall sentiment: positive, negative, mixed, neutral"
path: data.urgency type: string description: "Signal urgency: high, medium, low"
path: data.buying_stage type: string description: Buyer journey stage
path: data.audience_type type: string description: Target audience type

Data object - engagement

path: data.total_upvotes type: integer description: Total upvotes across posts
path: data.total_comments type: integer description: Total comments across posts
path: data.post_count type: integer description: Number of posts analyzed
path: data.upvote_ratio type: float description: Upvote ratio

Data object - evidence & sources

path: data.evidence type: array[string] description: Key quotes from discussions
path: data.source_urls type: array[string] description: Links to source threads
path: data.subreddits type: array[string] description: Relevant subreddits
path: data.topics type: array[string] description: Topic tags
path: data.post_date type: string (ISO 8601) description: Date of the post
path: data.post_author type: string description: Reddit username of post author
path: data.post_flair type: string description: Reddit post flair/tag
path: data.objection_type type: string description: Type of objection (price, features, etc.)
path: data.competitors_mentioned type: array[string] description: Competitors mentioned in discussion

reddit-mentions