Best for
- B2B SaaS companies selling through AWS or Microsoft marketplaces
- Partner marketers supporting cloud marketplace-led pipeline
- Product marketers rewriting marketplace listings for enterprise buyers
Review AWS Marketplace and Microsoft Marketplace listings, identify conversion gaps, and rewrite the listing so technical buyers, partner sellers, and procurement teams understand why to choose you.
A marketplace listing audit with buyer-fit scoring, competitor benchmarks, rewritten listing sections, screenshot guidance, proof checks, and procurement-ready recommendations.
Quick view
Check the audience, core tools, and access before you start the detailed steps.
Best for
Core tools
6 tools used across the workflow.
Access
Preview the open steps, then unlock the remaining implementation details and prompts.
Why this works
Marketplace buyers are not reading a normal landing page. They are checking whether the offer fits their technical environment, procurement process, cloud relationship, security expectations, and business problem. This workflow evaluates the listing against those jobs, then turns the audit into concrete edits that improve clarity without adding unsupported claims.
Expected results
Audit depth
10 conversion dimensions reviewed
The workflow reviews title clarity, category fit, proof, buyer language, screenshots, security confidence, deployment, pricing path, CTA, and procurement readiness.
Listing improvements
8-12 sections improved
A complete pass usually touches title, short description, long description, bullets, use cases, screenshots, FAQs, support language, and CTA copy.
Time saved
4-6 hours per audit
AI accelerates competitor comparison, gap detection, and rewrite drafting while humans validate marketplace constraints and approved claims.
Conversion quality
Clearer procurement path
The rewrite makes it easier for technical buyers, business sponsors, and procurement teams to understand fit, risk, and next steps.
Step-by-step workflow
The first 3 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.
45-60 min
45-60 min
Create a Google Doc with your current listing content, including title, short description, long description, categories, search terms if available, screenshots, videos, pricing or private-offer notes, deployment model, support links, reviews, and FAQs. Add the approved product positioning, proof points, security or compliance statements, integration list, and customer-safe claims. Include the relevant AWS Marketplace or Microsoft Marketplace listing requirements your team must follow so the rewrite does not create a submission problem. Mark each claim as approved, needs confirmation, or do not use. This gives Claude enough context to improve the listing without inventing marketplace-sensitive details.
Marketplace listing evidence document with current copy, approved claims, proof, screenshots, deployment details, and listing constraints.
Do not start with copywriting. Marketplace edits often fail because the team rewrites value props before confirming offer type, deployment details, procurement path, and approved proof.
30-45 min
30-45 min
Use Claude to define the different people who may read the listing: business sponsor, technical evaluator, cloud architect, security reviewer, procurement owner, marketplace seller, and partner seller. For each reader, document what they need to understand before clicking, sharing internally, requesting a private offer, or starting procurement. Add decision questions such as deployment fit, integration fit, risk, support, ROI, contract path, cloud credit use, and vendor credibility. Keep this buyer brief in the same Google Doc so every rewrite can be judged against it. A strong marketplace listing should answer multiple buyer jobs quickly without becoming a dense product brochure.
Marketplace buyer brief with decision questions, information needs, and conversion jobs by stakeholder.
Marketplace pages are often shared internally. Write for the person evaluating the product and the person who has to justify procurement later.
45-75 min
45-75 min
Collect three to five direct competitor listings from AWS Marketplace or Microsoft Marketplace, then add one strong adjacent listing from a different but related category. Use Perplexity for category research when you need to understand common marketplace terms, buyer expectations, or how similar offers are positioned. Compare title structure, first-screen clarity, use-case language, proof, screenshots, pricing path, security language, support links, and private-offer clarity. Document what competitors explain well, what they leave vague, and what your listing can credibly make easier for the buyer. This turns competitor research into practical conversion criteria instead of a generic swipe file.
Competitor benchmark table with marketplace copy patterns, gaps, proof examples, and differentiation opportunities.
Include one best-in-class listing outside your exact category. Direct competitors often copy the same weak structure, while adjacent categories can reveal better marketplace merchandising patterns.
Pro workflow preview
Previewing 3 of 7 steps
Get the remaining 4 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and ongoing workflow and prompt releases.
$9/month
Create a marketplace buyer brief for this offer.
Product or offer summary:
{{product_summary}}
Current listing:
{{current_listing}}
Target industries or segments:
{{target_segments}}
Marketplace channel:
{{marketplace_channel}}
Create buyer jobs for:
1. Business sponsor
2. Technical evaluator
3. Cloud architect or IT owner
4. Security or compliance reviewer
5. Procurement owner
6. Partner or cloud seller
For each, include:
- What they need to understand
- Questions the listing must answer
- Proof they need
- Friction that could stop conversion
- Listing sections that should address them
Do not invent product capabilities.Related workflows
Continue with workflows that share a similar GTM motion, category, or tool stack.
A partner account-mapping system that identifies shared target accounts, scores co-sell potential, creates partner-specific campaign angles, and routes approved actions to sales.
A campaign QA system that maps each paid journey, scores message match, fixes conversion friction, validates tracking, and monitors post-launch mismatch signals.
A category narrative research system with source matrices, buyer-language clusters, competitor claim maps, proof-gated whitespace, POV options, stakeholder review, and activation recommendations.