SimScale Organic Growth Opportunities

Create a massive atlas of pages detailing how specific engineering materials behave under various operating conditions. This provides engineers with simulation-verified performance data that goes far beyond static datasheets, capturing them during the critical material selection phase.

Example Keywords

• "316L stainless fatigue limit at −40 °C"
• "Aluminum 6061 yield strength 200 MPa simulation"
• "PET-G creep simulation 60 °C"
• "Inconel 718 high-temperature thermal expansion curve"

Rationale

Engineers constantly search for material properties under specific thermal or mechanical loads before committing to a design. By providing pages with simulated stress-strain curves, fatigue life, and thermal expansion data for thousands of combinations, SimScale can intercept high-intent users and demonstrate its simulation power at the point of decision.

Topical Authority

SimScale already ranks for high-level physics terms (e.g., 'von mises stress', 'stress strain curve'). This play deepens that authority into the practical application of those principles on specific, commercially-used materials, establishing SimScale as the go-to resource for material performance prediction.

Internal Data Sources

Leverage SimScale's internal material database and FEA/thermal solver results to generate unique performance curves and plots. Use the REST API of material cards as a base, and enrich it with simulation outputs generated via AirOps workflows.

Estimated Number of Pages

6,000+ (400+ materials × 15+ operating conditions)

Build a comprehensive encyclopedia of pages dedicated to solving specific CAD import and meshing errors. This strategy targets frustrated engineers at their exact moment of need, positioning SimScale as the immediate solution to their problem.

Example Keywords

• "Non-manifold edges STL fix online"
• "How to repair inverted normals STEP file"
• "Watertight mesh error Siemens NX to CFD"
• "Self-intersecting faces Fusion 360 FEA"

Rationale

Searching for specific error messages signifies an extremely high-intent, problem-solving user who is currently stuck. By creating a definitive resource for these errors, SimScale can attract valuable users who are actively trying to run a simulation and provide them with a direct path to success on its platform.

Topical Authority

The domain has strong authority in simulation topics like 'meshing' and 'FEA model'. This play expands that authority into the practical, frustrating step that precedes simulation, capturing users earlier in the workflow and demonstrating deep expertise in the entire process.

Internal Data Sources

Analyze millions of anonymized, failed mesh logs to identify the most common error strings. Use the platform's CAD repair tool to generate visual guides and leverage the 1,300+ forum threads to create detailed FAQs for each error page.

Estimated Number of Pages

800+ (One page for each unique and common error string)

Develop a matrix of highly-specific landing pages that connect every industry SimScale serves with each key simulation application. This targets long-tail, high-intent keywords that signal a user is looking for a solution tailored to their exact use case.

Example Keywords

• "HVAC CFD simulation for data centers"
• "Aerospace structural fatigue simulation software"
• "Battery pack thermal runaway analysis tool"
• "Wind comfort simulation for urban planning"

Rationale

While SimScale ranks for broad terms like 'CFD simulation', it misses traffic from professionals searching for solutions to industry-specific problems. This play creates content that speaks their language, directly addressing their needs and demonstrating that SimScale is the right tool for their job, which is a significant weakness against competitors like Autodesk.

Topical Authority

The sitemap shows dedicated `/industries/` and `/simulations/` sections. This play combines these existing authority pillars programmatically, creating thousands of new, specific pages that solidify SimScale's expertise across the entire engineering spectrum.

Internal Data Sources

Use the library of 1,800+ public projects to automatically extract relevant images and results. Pull quantified ROI data from the 166 customer case studies and embed benchmark accuracy tables from the 350+ validation documents to add unique credibility.

Estimated Number of Pages

1,200+ (40 industries × 30 applications)

Publish benchmark leaderboards that compare the performance of SimScale's solvers across various cloud hardware instances. This targets budget-holders and technical leads who are making critical purchasing decisions based on speed and cost.

Example Keywords

• "CFD benchmark AWS vs Azure"
• "Finite element solver speed comparison cloud"
• "Lattice Boltzmann GPU benchmark results"
• "Best VM for thermal simulation"

Rationale

Engineers and managers responsible for simulation budgets frequently search for performance benchmarks to justify software and hardware expenses. This content is virtually non-existent, and by creating it, SimScale can capture an extremely valuable, bottom-of-funnel audience and establish itself as a transparent performance leader.

Topical Authority

SimScale already has pages explaining different solvers (k-omega SST, k-epsilon). This play elevates that authority by providing objective, quantitative performance data, a form of content that is highly respected and demonstrates true expertise and confidence in the product's underlying technology.

Internal Data Sources

Leverage millions of anonymized job logs to extract real-world data on runtime, core-hours, and memory usage per solver and hardware type. Combine this with the internal pricing API to auto-calculate and display cost-per-solve metrics, creating a uniquely defensible dataset.

Estimated Number of Pages

1,000+ (10 solvers × 25 hardware instances × 4 mesh sizes)

Create a series of data-driven pages that use simulation to compare the performance of well-known competing products. This taps into high-volume 'X vs Y' search queries and generates significant buzz and backlinks.

Example Keywords

• "Dyson Supersonic vs Shark HyperAir airflow simulation"
• "Tesla Model 3 vs Hyundai Ioniq 5 drag coefficient"
• "Best road bike helmet aerodynamics CFD"
• "Instant Pot vs Ninja pressure cooker heat distribution"

Rationale

Consumers and B2B buyers constantly search for comparative performance data before making a purchase. By providing objective, physics-based comparisons of popular products, SimScale can capture this massive audience, educate them on the value of simulation, and build brand awareness in a highly engaging and shareable format.

Topical Authority

SimScale has proven success with narrative, analysis-driven content like the 'Tacoma Narrows Bridge' and 'Titanic' articles. This play modernizes that approach, applying it to current, commercial products, which will build authority with a broader audience and earn links from tech review sites, forums, and social media.

Internal Data Sources

Utilize the library of 1,800+ public projects and community-created CAD models as a starting point for product geometries. Apply benchmark solver templates for consistent analysis and use the Getty Images integration for high-quality, legally-compliant product photography.

Estimated Number of Pages

300+ (Covering 300 different product pairings)

Improvements Summary

Revise and expand SimWiki and blog articles targeting high-volume FEA stress keywords to match featured snippet formats, add rich media, and strengthen internal linking. Introduce a pillar page, interactive calculators, and downloadable resources to increase engagement and organic visibility.

Improvements Details

Key tasks include rewriting H1s with exact-match keywords like 'von Mises stress', adding definition boxes, formula images, and short videos, and embedding FAQ and VideoObject schema. Expand articles to 1,800+ words with real-world examples and best practices, and launch a 3,000-word pillar hub for 'mechanical stress'. Strengthen internal links to the FEA product page and between articles, and add interactive calculators and PDF downloads to drive conversions.

Improvements Rationale

These improvements address current gaps in SERP performance by aligning content with featured snippet and rich media preferences, which are favored over text-heavy pages. Expanding content depth and adding interactive elements will increase dwell time, while improved internal linking and schema markup will help move pages from positions 11-20 into the top 3-8, capturing significantly more organic traffic and supporting product conversions.