JAX Organic Growth Opportunities

This play creates a massive, crawlable encyclopedia of gene expression patterns in mice, turning a backend database into a primary traffic source. It answers fundamental research questions at scale, establishing JAX as the definitive source for this information.

Example Keywords

• “GATA3 expression in embryonic thymus mouse”
• “TP53 post-natal brain expression mouse”
• “mouse gene expression liver E14.5”
• “where is Sox2 expressed in adult mouse”

Rationale

Researchers constantly seek to understand where and when a gene of interest is active. By creating static, SEO-optimized pages for every combination of gene, tissue, and developmental stage, JAX can capture a vast long-tail of high-intent academic and commercial research traffic that currently hits a dead end or requires complex database queries.

Topical Authority

JAX already hosts the Gene Expression Database (GXD), the world's foremost repository of this data. This play simply exposes that unparalleled authority to search engines, solidifying JAX's dominance in mouse genetics and genomics by making the information universally accessible.

Internal Data Sources

This strategy would directly leverage the Gene Expression Database (GXD) API to pull gene IDs, tissue types, developmental stages, and corresponding expression data (e.g., RNA-ISH images, TPM values). This proprietary dataset is the core of the play's unique value.

Estimated Number of Pages

~120,000 (Covering ~20,000 genes across ~10 key tissues and ~6 developmental stages)

This play directly connects human genetic diseases to JAX's product catalog by creating a lookup page for every known pathogenic variant. It targets translational researchers at the exact moment they are looking for an animal model to study a specific human mutation.

Example Keywords

• “mouse model CFTR p.G551D”
• “APOE ε4 knock-in mouse”
• “KRAS G12D transgenic mouse ordering”
• “mouse analog for human BRCA1 5382insC”

Rationale

Translational research begins with a human variant and requires a corresponding animal model. These pages capture extremely high-intent searches from scientists who know the exact mutation they need to study, providing a direct path from a clinical question to a JAX product or service.

Topical Authority

JAX's authority is immense, as it maintains the Mouse Genome Informatics (MGI) database, which includes allele and strain data. By programmatically mapping this internal data to the public ClinVar database of human variants, JAX can create a resource that no competitor can replicate, becoming the go-to source for disease modeling.

Internal Data Sources

The core of this play is the integration of two key datasets: the public ClinVar database (as a CSV or API feed) and JAX's internal MGI allele and strain tables. The workflow would map human variants to existing or potential JAX mouse alleles to generate the content.

Estimated Number of Pages

~15,000 (Covering all pathogenic/likely-pathogenic variants in the ClinVar database that have a known or theoretical murine ortholog)

Create a comprehensive atlas of baseline physiological data for every major mouse strain, segmented by age and sex. This addresses a fundamental need for researchers planning experiments, capturing traffic looking for 'normal' reference values before they purchase animals.

Example Keywords

• “18 month C57BL/6 body weight curve”
• “Balb/c female 12-week hematology reference”
• “wild-type NSG mouse lifespan data”
• “baseline glucose levels for NOD mice”

Rationale

Before starting any experiment, scientists must know the baseline characteristics of their chosen animal model to properly design studies and interpret results. By providing these reference data in easily discoverable static pages, JAX becomes an indispensable part of the experimental planning process, driving high-quality traffic that is actively preparing to purchase mice.

Topical Authority

JAX hosts the Mouse Phenome Database (MPD), an enormous repository of this exact data. Currently, this data is behind a search interface. This play unlocks that authority by creating crawlable, static pages, making JAX the definitive public source for mouse physiological benchmarks.

Internal Data Sources

The strategy would query the Mouse Phenome Database (MPD) API for physiological endpoints like body weight, complete blood count (CBC), blood chemistry, and behavioral data, segmented by strain, age, and sex. This raw data would be transformed into charts and summaries for each page.

Estimated Number of Pages

~8,000 (Covering ~200 high-use strains across ~20 age bins and 2 sexes)

This play builds SEO-optimized landing pages for every major human disease that has a corresponding mouse model. This strategy targets high-value, commercially-driven searches from researchers looking for a model of a specific disease.

Example Keywords

• “mouse model of alzheimer’s disease”
• “transgenic mouse Huntington disease”
• “knockout mouse for cystic fibrosis”
• “best mouse model for multiple sclerosis”

Rationale

Researchers often begin their search with the disease they are studying, not a specific gene or strain. JAX currently lacks comprehensive, disease-centric landing pages that aggregate all relevant models and services. This play fills that gap, capturing users earlier in their purchasing journey and guiding them directly to relevant JAX products.

Topical Authority

JAX has world-class authority in this area, hosting the Mouse Models of Human Cancer Database (MMHCdb) and having a catalog of over 11,000 strains. By creating dedicated pages that link diseases (using DOID) to specific strains and research services, JAX leverages its existing assets to dominate these high-intent keywords.

Internal Data Sources

The workflow would use data from the Mouse Models of Human Cancer Database (MMHCdb) and the Mouse Genome Informatics (MGI) database. It would map disease IDs (DOID) to JAX's internal strain catalog and phenotype data to generate comprehensive resource pages.

Estimated Number of Pages

~2,000 (Covering all diseases in the Disease Ontology (DOID) database that have established murine models)

This play creates a unique library of gut microbiome profiles for JAX's most popular mouse strains. It provides critical baseline data that researchers need to control for variables in their studies, capturing an audience in a high-growth research field.

Example Keywords

• “C57BL/6 microbiome high-fat diet profile”
• “NSG mice germ-free microbiota Bar Harbor”
• “Balb/c antibiotic-treated microbiome composition”
• “16S data for aged B6 mice”

Rationale

The microbiome is a critical and highly variable factor in biomedical research. By publishing its internal QC data on microbiome composition—segmented by strain, diet, age, and even facility—JAX provides an invaluable resource that helps researchers design better experiments and interpret their data, building immense brand loyalty and capturing traffic from a sophisticated scientific audience.

Topical Authority

This data is entirely proprietary and a direct result of JAX's rigorous quality control processes. No competitor can replicate this play. Publishing this data establishes JAX as the authority not just on mouse genetics, but on the entire mouse as a biological system, including its microbial inhabitants.

Internal Data Sources

This play would leverage a highly unique internal data source: 16S sequencing OTU (Operational Taxonomic Unit) tables from JAX's internal QC LIMS (Laboratory Information Management System). This raw data on microbial composition would be transformed into charts and summaries.

Estimated Number of Pages

~6,000 (Covering ~150 popular strains across 2 facilities, 2 age points, and 10 common diets/conditions)

Improvements Summary

Standardize and expand content on all /strain/ pages with unified SEO templates, deeper copy, structured data, and targeted keyword mapping. Add supporting content, internal links, and technical SEO fixes to drive higher rankings and conversions.

Improvements Details

Tasks include updating titles, meta descriptions, H1/H2s, and adding 700+ words per page covering background, phenotypes, applications, husbandry, and FAQs. Implement schema.org/Product and FAQPage markup, map primary and secondary keywords (e.g., 'b6 mice', 'C57BL/6J'), and create comparative blog posts and interactive tools. Strengthen internal linking from hub pages and related strains, compress images, add alt tags, and set up image sitemaps and breadcrumb markup.

Improvements Rationale

Current pages are thin, inconsistent, and miss out on high-volume, low-competition branded keywords where JAX should rank higher. Richer, well-structured content and technical improvements will increase authority, improve click-through rates, and capture more long-tail queries, leading to higher organic traffic and more orders.