Indeed Organic Growth Opportunities

Create a massive library of pages that aggregate jobs based on specific, high-value employee benefits. This play targets users searching for jobs not by title, but by life-impacting perks, capturing high-intent traffic that competitors ignore.

Example Keywords

• "student loan repayment jobs Texas"
• "companies with IVF coverage Illinois"
• "paid sabbatical jobs remote"
• "employers with on-site childcare"

Rationale

In a competitive talent market, job seekers increasingly prioritize benefits over other factors. By creating dedicated pages for each benefit (e.g., tuition reimbursement, 4-day workweeks, pet insurance), Indeed can capture an enormous, underserved long-tail of search queries and direct users to highly relevant job listings.

Topical Authority

Indeed already collects benefit information within its job postings and company review pages. This play leverages that existing, structured data to build out a new content vertical, establishing Indeed as the go-to resource for benefit-conscious job seekers. The domain's high authority (DA 100) ensures these pages will rank quickly for these specific, low-competition terms.

Internal Data Sources

The primary data source is Indeed's internal database of job postings, specifically the structured tags for hundreds of distinct benefits. This can be enriched with anonymized data from company review pages that mention specific perks, adding qualitative validation to the quantitative listings.

Estimated Number of Pages

25,000+ (Covering ~250 distinct benefits across 50 states and remote categories)

Develop a scalable set of pages that quantify the salary uplift a specific skill adds to a given job role in a specific location. This directly answers a critical career development question for job seekers and establishes Indeed as a premier source for compensation intelligence.

Example Keywords

• "python salary premium data analyst California"
• "bilingual pay bump for teachers in Florida"
• "how much more do PMP certified project managers make"
• "AWS certification salary uplift devops engineer"

Rationale

Job seekers and professionals are constantly evaluating the ROI of learning new skills. These pages provide a direct, data-backed answer, attracting users who are actively looking to upskill and increase their earning potential. This is a high-intent audience that can be funneled into relevant job listings and training resources.

Topical Authority

Indeed's existing Salary Explorer gives it foundational authority in compensation data. This play deepens that authority by moving from broad salary ranges to granular, skill-based analysis. By combining its salary database with its vast repository of skill tags from job postings, Indeed can generate insights that no competitor can replicate at this scale.

Internal Data Sources

This play requires merging two core internal datasets: the comprehensive salary database (from 80M+ submissions) and the skill tags extracted from over 300M job postings. A regression analysis can be run to isolate the salary premium for each skill within a specific role and location.

Estimated Number of Pages

30,000+ (Covering ~300 valuable skills across 200 roles and 50 states)

Create detailed guides for employees of large corporations showing the most common career paths and salary increases after leaving. This play targets experienced professionals with high-value, proprietary data that is not available anywhere else on the web.

Example Keywords

• "jobs for ex-Amazon engineers"
• "career path after leaving Deloitte"
• "what is the average pay bump after Google"
• "life after Goldman Sachs"

Rationale

Employees at large, well-known companies frequently search for information about their next career move. These pages serve this niche but high-volume audience by providing concrete data on where their peers go, what roles they take, and how much more they earn. This positions Indeed as an essential tool for strategic career planning.

Topical Authority

While competitors have anecdotal forum posts, Indeed is uniquely positioned to provide large-scale, quantitative data on this topic. With over 70 million résumés, Indeed can map out career trajectories with statistical significance, establishing unparalleled authority on professional mobility.

Internal Data Sources

The core of this play is the de-identified career history data from millions of user résumés. AirOps can ingest this data to identify patterns such as 'Previous Employer' -> 'Next Employer', 'Previous Role' -> 'Next Role', and the associated salary changes from Indeed's salary data.

Estimated Number of Pages

10,000+ (Covering the top 500 large employers and their 20 most common exit roles)

Build a comprehensive encyclopedia detailing the requirements, costs, and processes for obtaining professional licenses in every U.S. state. This strategy captures high-intent searchers navigating complex regulatory requirements, a topic where authoritative content is highly rewarded.

Example Keywords

• "how to get a real estate license in Indiana"
• "CNA renewal requirements Texas"
• "journeyman electrician license Ohio cost"
• "steps to become a licensed therapist in New York"

Rationale

Obtaining a professional license is a critical, often confusing, step for millions of workers. By creating clear, step-by-step guides, Indeed can attract users at a pivotal moment in their career journey. These users are highly likely to be searching for jobs that require that specific license, creating a perfect funnel to relevant listings.

Topical Authority

Indeed's high domain authority (DA 100) and existing career advice content make it a natural fit for this type of authoritative, factual content. While government websites are the source, they are often difficult to navigate. Indeed can win by presenting the information in a user-friendly, structured format, becoming the de facto trusted source.

Internal Data Sources

Internal data on job postings that require specific licenses can be used to show demand and average salary for licensed professionals in each state. Additionally, AirOps' Knowledge Base can be populated by uploading PDFs and scraping content from all 50 states' licensing board websites to serve as the factual basis for the LLM.

Estimated Number of Pages

15,000+ (Covering ~300 common licenses across all 50 states)

Generate detailed guides for professionals looking to transition from one career to another, outlining skill gaps, suggested training, and potential salary changes. This play addresses a major pain point for the modern workforce and leverages Indeed's unique ability to map skills across different professions.

Example Keywords

• "how to switch from teacher to instructional designer"
• "career path from mechanic to HVAC technician"
• "transition from military police to cybersecurity"
• "from retail management to tech sales"

Rationale

Career switching is increasingly common, but reliable information on how to make the leap is scarce. By creating data-driven roadmaps, Indeed can capture users in the early stages of consideration, guiding them through the entire process from upskilling to applying for their new role. This builds immense brand loyalty and captures users before they even start their formal job search.

Topical Authority

No other platform has a better understanding of the skills required for millions of different jobs. By analyzing its database of 300M+ job postings, Indeed can identify skill overlaps and gaps between any two professions with unparalleled accuracy, giving it a powerful and defensible position of authority.

Internal Data Sources

This play relies on two unique datasets: the co-occurrence matrix of skills from job postings to identify skill gaps, and the historical career path data from 70M+ résumés to show common and successful transitions. Salary data can be layered on top to project potential earnings changes.

Estimated Number of Pages

12,000+ (Covering 400 common 'feeder' roles to 30 popular 'target' roles, with location-specific variations)

Improvements Summary

Revise and expand /hire/ section pages targeting employers by optimizing on-page SEO, adding downloadable assets, and implementing FAQ schema. Build out a supporting topic cluster, improve internal linking, and address technical SEO for better rankings and engagement.

Improvements Details

Key tasks include rewriting H1s and meta descriptions with primary keywords like 'job offer letter sample' and 'personnel file definition', increasing word count to 1,200–1,500 words, embedding downloadable templates, and adding FAQ schema for rich results. New pillar and blog content will support the cluster, while an interactive tool and improved internal links will drive engagement. Technical steps include breadcrumb schema, file compression, canonical tags, and review schema for E-E-A-T.

Improvements Rationale

These improvements target low-competition, moderate-volume keywords currently ranking on page 2, aiming to move them into the top 7 positions. Adding assets and schema aligns with competitor strategies and Google's ranking preferences, while internal linking and fresh content will strengthen topical authority and increase organic traffic from employers seeking HR resources.