Product School Organic Growth Opportunities

Generate thousands of hyper-specific salary reports for product roles at top companies and cities. These pages will capture high-intent search traffic from PMs researching compensation, leveraging proprietary survey data for unmatched accuracy.

Example Keywords

• "product manager salary amazon"
• "senior pm salary berlin"
• "ai product manager salary nyc"
• "google pm salary seattle"

Rationale

Product School can dominate high-volume salary-related searches by providing granular, data-driven insights that generic sites like Glassdoor cannot. This attracts PMs at key decision points in their careers, making them prime candidates for certification courses.

Topical Authority

The existing generic salary article provides a foundation, but this play establishes deep authority by offering company- and location-specific data. Leveraging the proprietary "Future of Product" survey data makes the content uniquely authoritative and defensible.

Internal Data Sources

Anonymized alumni salary data from the annual "Future of Product" survey (CSV), enriched with data from LinkedIn job postings via API.

Estimated Number of Pages

2,000-2,500

Create an exhaustive library of interview question pages for product manager roles at every major tech company. This strategy targets high-volume, high-intent keywords from job seekers, positioning Product School as the ultimate resource for interview preparation.

Example Keywords

• "google product manager interview questions"
• "stripe apm interview questions"
• "meta product sense questions"
• "amazon pm interview questions"

Rationale

The existing generic interview post is a top traffic driver, proving the demand. By creating hyper-specific pages for each company, Product School can capture the massive long-tail of search traffic and provide more targeted value.

Topical Authority

The domain already has strong authority for "product manager interview questions." This play deepens that authority by an order of magnitude, leveraging unique insights from instructors and alumni who are current or former employees at these target companies.

Internal Data Sources

Anonymized Q&A archives from the 2M+ member Slack community, ProductCon speaker transcripts tagged by employer, and proprietary instructor notes.

Estimated Number of Pages

1,200-1,500

Develop a comprehensive library of copy-and-paste AI prompts tailored for common product management tasks. This play positions Product School at the forefront of the AI trend and captures a rapidly growing category of search queries from PMs looking to leverage AI in their workflow.

Example Keywords

• "prd gpt prompt"
• "ai prompt for product roadmap"
• "chatgpt product discovery prompt"
• "user story prompts for ai"

Rationale

With "AI-first Product training" as a core value proposition, creating a practical prompt library is a natural and powerful content strategy. It provides immediate utility to the target audience and directly funnels users toward AI-specific certifications.

Topical Authority

While a net-new keyword area, Product School's pivot to "AI training" gives them the credibility to own this space. The play reinforces their new brand identity with practical, authoritative content that competitors in the traditional PM training space lack.

Internal Data Sources

Curated and validated prompts from the "Advanced AI Agents" certification course and thousands of real-world examples from the internal Slack community discussions.

Estimated Number of Pages

800-1,000

Build a definitive directory of product management software, featuring in-depth comparisons, category roundups, and PM-specific reviews. This play targets high-commercial-intent keywords from teams evaluating new tools, establishing Product School as an unbiased authority in the PM tech stack.

Example Keywords

• "productboard vs aha"
• "best roadmap software for startups"
• "figma alternatives for product teams"
• "product management software comparison"

Rationale

Competitors like Capterra own these keywords with generic reviews. Product School can win by providing a PM-specific lens, evaluating tools based on criteria that matter most to product professionals, thereby capturing valuable, purchase-ready traffic.

Topical Authority

The domain has authority in PM education and frameworks. Extending this to the tools that implement those frameworks is a logical and credible expansion, allowing them to become the go-to resource for not just the "how" but also the "with what."

Internal Data Sources

Proprietary instructor polls scoring tools on PM-centric criteria, and sentiment analysis from Slack community discussions about tools.

Estimated Number of Pages

1,000-1,200

Create a dynamic library of content that breaks down the latest software release notes from top tech companies into actionable PM takeaways. This strategy combines news-jacking with evergreen analysis, making Product School the go-to source for learning from the best product teams in real-time.

Example Keywords

• "slack release notes april 2025 explained"
• "ios 18 beta pm analysis"
• "asana feb 2025 update breakdown"
• "stripe api release lessons"

Rationale

PMs are constantly looking for inspiration and best practices from leading companies. By systematically analyzing public releases, Product School can generate a continuous stream of relevant content that attracts a recurring audience of engaged product professionals.

Topical Authority

The domain has authority on PM strategy; this play applies that authority to real-world, current events. It demonstrates expertise not just in theory but in the practical analysis of product evolution, a topic for which there is no established content leader.

Internal Data Sources

The analysis can be enriched by insights from Product School instructors who have experience with similar feature launches or work at the companies being analyzed.

Estimated Number of Pages

2,000-2,500

Improvements Summary

Revise and expand nine key framework pages with targeted keywords, on-page SEO, and new assets like templates, diagrams, and videos. Build a pillar page, add comparison and case study content, and strengthen internal linking to consolidate authority and drive more qualified traffic.

Improvements Details

Tasks include rewriting H1s and meta tags to match high-opportunity keywords such as 'product management frameworks' and 'impact vs effort matrix', adding FAQ schema, original diagrams, downloadable templates, and interactive tools. Create a 2,500+ word pillar page linking to all cluster articles, produce comparison and case study posts, embed short explainer videos, and improve contextual internal links with keyword-rich anchors. Update template download emails to promote related articles and link from high-authority pages to the new hub.

Improvements Rationale

These improvements address low competition, underperforming traffic, and cannibalization by clarifying site structure and keyword targeting. Adding depth with templates, visuals, and interactive tools matches top-ranking competitors and increases user engagement. Stronger internal linking and a clear pillar page help consolidate authority, improve rankings, and drive more organic leads.