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Agent Discoverability Score

Measure and improve how AWS Marketplace agents and AI assistants surface your product to buyers.

Why this matters

AWS Marketplace buyers increasingly start with an AI-mediated query — through Marketplace's own agent surfaces, ChatGPT, Claude, or Perplexity — before clicking into a listing page. Whether your product shows up in that response depends on signals AI grounding pipelines actually look at: cross-source consistency between your listing, your website, and third-party validation.

The Agent Discoverability Score gives you a single number that reflects how well-aligned and discoverable those signals are right now, plus specific recommendations to improve.


Score components

Your overall score is a weighted combination of three signals available today:

Listing Quality

How well your listing content is optimized for both human readers and agent grounding:

  • Title optimization — Keywords, length, clarity
  • Description completeness — Short and long descriptions
  • Feature highlights — Number and quality of highlight bullets
  • Media assets — Images, videos, logos
  • Category alignment — Correct category and subcategory

External signals that boost your listing's credibility:

  • Referring domains — Unique domains linking to your listing
  • Link quality — Authority of linking sites
  • Anchor text — Relevance of link text
  • Growth trend — Are you gaining or losing links

AI Visibility

How AI models reference your product when buyers ask requirement-shaped questions:

  • LLM mentions — Frequency of AI model references in your category
  • Context accuracy — Whether AI describes your product correctly
  • Category presence — Mentioned in relevant solution categories
  • Competitive positioning — How you compare to competitors in AI responses

Score interpretation

Score Grade Meaning
90-100 A+ Excellent — listing is highly discoverable
80-89 A Strong — minor improvements possible
70-79 B Good — several optimization opportunities
60-69 C Fair — significant room for improvement
Below 60 D Needs attention — multiple issues identified

Weakness detection

The scoring engine identifies specific issues and recommended actions:

Weakness Impact Recommended Action
Missing keywords in title High Add target keywords to listing title
Short description Medium Expand to 150+ characters with keywords
Few highlights Medium Add 5+ feature highlights
No product images High Add at least 3 product screenshots
Low backlink count Medium Create content that earns links
AI inaccuracy Low Update public content for AI training

Getting started

  1. Navigate to Marketplace Metrics → Agent Discoverability
  2. Select the listing to analyze
  3. Run the analysis (takes 30-60 seconds)
  4. Review your score and breakdown
  5. Follow the recommendations to improve

Best practices

Focus on high-impact items first

Start with weaknesses marked "High" impact — title optimization and media assets typically yield the biggest improvements.

Re-score after changes

Run a fresh analysis after any listing update to confirm the change moved the score.

Monthly cadence

Schedule monthly score checks to catch drift early — search rankings shift weekly even when your listing doesn't.


Plan availability

Feature Starter Accelerate Command
Basic listing analysis Yes Yes Yes
Full Agent Discoverability Score Full
AI Visibility analysis Full
Competitor comparison Full

Credit cost formula (marketplace_listing_seo)

The credit cost is computed by MarketplaceListingSEOCapability::getEstimatedCredits() — not a flat 25.

total = 15 (base)
      + 2 × competitor_count
      + 10 if include_ai_recommendations is true (default ON)

Default cost with no competitors and AI recommendations enabled: 25 credits (15 + 10). Common configurations:

Config Cost
No competitors, no AI recommendations 15
No competitors, AI recommendations on 25
3 competitors, AI recommendations on 31 (15 + 6 + 10)
5 competitors, AI recommendations on 35 (15 + 10 + 10)

Required parameters: partner_domain, brand_keyword. Optional: competitors (array), include_ai_recommendations (default true), force_refresh (default false).

The internal capability slug remains marketplace_listing_seo for API and integration compatibility; the user-facing name and surface is Agent Discoverability Score.