RSS Feed Intelligence Scorer¶

Capability Slug: rss_post_scoring Plan Tier: Command Credit Cost: 20 credits flat per run Category: Intelligence & Attribution Default behavior: Score top 10 posts from the feed Score brand: Vellocity Intelligence Score (VIS)

Overview¶

You probably watch a handful of RSS feeds — competitor blogs, industry news, vertical publications — and you skim them to figure out what's worth acting on. The RSS Feed Intelligence Scorer turns that triage into a ranked, scored output. Pass any RSS feed URL; the capability fetches recent posts, scores each against your brand context (industry, ICP, products, GTM goals, knowledge base), and returns posts ranked by relevance with a letter grade and per-dimension breakdown.

It's a single 20-credit batch call: fetch the feed, build your brand profile, score all posts in one Bedrock invocation, return the ranked output plus a feed-level summary and (if your brand profile is thin) a set of actionable enrichment prompts.

The Vellocity Intelligence Score¶

Each post gets an overall VIS (0-100), computed as a weighted combination of four dimensions. The weights are aligned with the Content Readiness Analyzer so scores compose cleanly across capabilities.

Weight	Dimension	What it measures
30%	Industry Relevance	How well the post aligns with your industry vertical
25%	Product Fit	How relevant the post is to your products / services
25%	ICP Alignment	How well the post's audience matches your ICP
20%	GTM Timeliness	Urgency and actionability of the post for your GTM strategy

Each dimension is scored 0-100 by Claude based on your brand profile and the post content; the weighted sum is the overall VIS.

Letter grades¶

Bands match MarketplaceSeoScoringService so partners using both capabilities see consistent grading conventions.

Grade	Score range	Suggested action
A	90-100	Immediately actionable — surface to the team, draft a response
B+	80-89	High-relevance — review, queue for content or social response
B	70-79	Worth reviewing — relevant but probably not urgent
C+	60-69	Tangentially relevant
C	50-59	Low priority for current GTM motion
D	< 50	Skip

What gets returned¶

{
  "success": true,
  "feed_url": "https://...",
  "posts_fetched": 10,
  "posts_scored": 10,
  "credits_used": 20,
  "scored_posts": [
    {
      "id": "...",
      "title": "...",
      "link": "https://...",
      "description": "...",
      "image": "https://... or null",
      "overall_score": 87,
      "grade": "B+",
      "dimension_scores": {
        "industry_relevance": 92,
        "product_fit": 80,
        "icp_alignment": 88,
        "gtm_timeliness": 84
      },
      "rationale": "...",
      "recommended_action": "..."
    }
  ],
  "feed_summary": {
    "overview": "...",
    "average_score": 0,
    "top_action_themes": ["..."]
  },
  "brand_data_completeness": {
    "percentage": 64,
    "complete": 7,
    "total": 11,
    "missing_fields": ["target_keywords", "competitive_differentiators", "..."],
    "has_sufficient_data": true
  },
  "enrichment_prompts": [
    {
      "action": "Add target keywords for your content strategy",
      "impact": "Enables keyword-aware relevance scoring",
      "route": "brand_voice"
    }
  ],
  "scoring_dimensions": [ /* default dimension definitions from RssInsightSchema */ ],
  "_schema": { /* RssInsightSchema-typed projection */ }
}

scored_posts is sorted by overall_score descending. The first item is the highest-VIS post.

Brand profile and data completeness¶

Before scoring, the capability builds a brand profile from the optional company_id parameter and any brand_voice context already in scope. It then runs assessDataCompleteness() over 11 fields and returns a completeness read with has_sufficient_data: true when ≥50% of fields are populated.

Field	Weight	Category
`company_name`	high	brand_voice
`industry`	high	brand_voice
`description`	medium	brand_voice
`target_audience`	high	icp
`value_propositions`	high	product
`competitive_differentiators`	medium	product
`target_keywords`	medium	market
`gtm_goals`	high	market
`market_positioning`	medium	market
`products`	high	product
`knowledge_base`	high (≥2 docs)	knowledge

When data is thin, the missing fields drive enrichment_prompts — actionable next steps the user can take to improve future scoring. Each prompt has three fields:

action — a one-line instruction ("Define your ideal customer profile (ICP)")
impact — what improving this field will do ("Enables ICP alignment scoring and persona-targeted insights")
route — where to go to fix it (brand_voice or knowledge_base)

Prompts are empty when data_completeness.percentage ≥ 80%.

Required and optional parameters¶

Parameter	Required	Description
`rss_feed_url`	Yes	Any standard RSS or Atom feed URL
`limit`	No	How many posts to fetch and score. Default 10.
`company_id`	No	Company record to load brand profile from. If omitted, the capability uses brand-voice context already in scope.

When to use it¶

Scenario	Why this capability fits
Daily / weekly competitive intelligence triage	Score competitor blog or news feed; act on A-grade posts
Industry vertical signal	Score a vertical publication's RSS to find content worth resharing or commenting on
Content sourcing for thought leadership	Find high-VIS posts to use as source material for your own commentary
Partner ecosystem monitoring	Score a partner's blog feed to surface co-marketing opportunities
Onboarding (with thin brand profile)	The enrichment prompts double as a brand-profile setup checklist

It is not:

A replacement for AWS Innovation Monitor. For curated AWS feeds (Marketplace Blog, APN Blog, What's New) with co-sell-aligned scoring, use that capability — it's purpose-built for the AWS-native signal.
A continuous feed monitor. Each run is a discrete batch; results are not stored as a comparable historical series.
A content fetcher for non-RSS sources. The capability requires a valid RSS or Atom feed URL.

Composing with other capabilities¶

Upstream / paired	Why combine
Marketplace Awareness (`marketplace_awareness`)	Run RSS Scoring to find high-VIS posts; pass an A-grade post to Marketplace Awareness for deep multi-angle analysis
Competitor Analysis (`competitor_analysis`)	Use scored competitor-blog posts as input to `content_monitoring` for fingerprinting
Content Readiness Analyzer (`content_readiness_analyzer`)	Same scoring weights — improve your readiness profile and scoring quality goes up across both capabilities (documentation in progress)
AWS Innovation Monitor (`aws_innovation_monitor`)	Run both: Innovation Monitor for AWS feeds, RSS Scoring for everything else

API access¶

Exposed through the agent runtime as rss_post_scoring. Partner API keys scoped with view_marketing_analytics plus the agent capability slug can run it programmatically. The 20-credit cost is flat — no hidden multipliers in the credit calculation. See Partner API Capabilities.