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
Backlink Authority¶
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¶
- Navigate to Marketplace Metrics → Agent Discoverability
- Select the listing to analyze
- Run the analysis (takes 30-60 seconds)
- Review your score and breakdown
- 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.
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.