Discovery Engine

Find What's Trending Before Your Competitors Do

AI scores every content opportunity by velocity, brand relevance, and competition gap. No more guessing what to post next.

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How It Works

Four stages turn raw data into actionable content briefs, fully automated and continuously learning from results.

  1. Step 1

    Aggregate

    Google Trends, Google News and, where enabled, DataForSEO feed raw signals into the Discovery Engine

  2. Step 2

    Score

    AI evaluates each signal against weighted criteria specific to the account

  3. Step 3

    Classify

    Topics are classified as Trending, Evergreen, or Seasonal

  4. Step 4

    Generate Buckets

    High-scoring topics auto-create content buckets with briefs

Trend Sources

Search and News Signals

Every scan reads Google Trends and Google News for the account's topics, and DataForSEO where it is enabled. Social signals, competitor monitoring and seasonal data are planned and not live yet.

  • Google Trends

    Daily trending searches for the configured region

  • Google News

    Recent news stories for each of the account's topics

  • DataForSEO

    Interest over time and rising related queries for each topic, where enabled

  • Social Signals

    Planned: trend signals from social networks

  • Competitor Monitoring

    Planned: competitor content and engagement tracking

  • Seasonal Data

    Planned: seasonal and calendar signals

AI Scoring

Weighted Scoring System

Every signal is evaluated against four weighted criteria, with the fixed weights shown here. Brand relevance reads the Account's personas and prohibited topics, so each client's scores reflect their niche.

Each scan re-scores topics with the latest signals. A topic that was a 72 last week might be a 91 today if velocity spikes, and the list re-ranks without manual intervention.

Trend Velocity30%

How fast the topic is growing across platforms

Brand Relevance30%

Alignment with the client's niche and audience

Competition Gap20%

Under-served topics with low existing quality content

Historical Performance20%

Past engagement data for similar topics in this account

Automatic Classification

Every scored topic is classified into one of three categories, each with its own production timeline and scheduling strategy.

TRENDING

Act Now

High-velocity topics with a 24-72 hour window. The AI prioritizes these for immediate production and distribution.

EVERGREEN

Schedule

Consistently relevant topics that perform well over time. Scheduled into the editorial calendar for steady output.

SEASONAL

Calendar

Recurring topics tied to holidays, events, or industry cycles. Pre-planned weeks in advance for maximum preparation.

Topic Detected

"Remote Work Productivity 2026" scores 87/100

Bucket Created

Auto-generated with 6 content briefs across TikTok, Instagram, LinkedIn, and Blog

Production Queued

Briefs sent to Content Writer, Video Director, and Image Art Director

Auto-Generation

From Signal to Content Brief in Minutes

When a topic scores above the account's threshold, the Discovery Engine automatically creates a content bucket with platform-specific briefs.

Each brief includes the target platform, recommended format, key talking points, and competitive context. The Production Studio picks up these briefs and begins generating content immediately.

Signal Categories

Search trends and news feed every scan today, with keyword trend data where DataForSEO is enabled. The planned categories follow the Discovery roadmap.

Search TrendsNewsKeyword TrendsSocial Signals (planned)Competitor Content (planned)Seasonal Data (planned)

Discovery Engine FAQ

How quickly does the Discovery Engine detect new trends?

Each scan reads Google Trends and Google News, plus DataForSEO where it is enabled, and scores the signals for the account's topics. Scans start from the Discovery page today; scheduled scans are planned. New opportunities appear with their scores as soon as a scan completes.

Can I customize the scoring weights for different clients?

Not today. Every Account uses the same four weights: trend velocity and brand relevance at 30% each, competition gap and historical performance at 20% each. Scores still differ per client, because relevance reads that Account's personas and prohibited topics and historical performance reads its own past batches.

What happens when a trend is detected but doesn't match any client?

Scans run per client account, for that account's own topics, so every opportunity belongs to one account. There is no shared trend index across accounts.

Does Discovery monitor competitors?

Not yet. Competitor monitoring is planned. Until it ships, the competition-gap criterion gives every topic the same neutral score.

Stop Guessing. Start Discovering.

See how the Discovery Engine finds high-scoring content opportunities for your clients automatically.

See It in Action