Verified
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Softensity: Verified Review & AI Trust Profile

Softensity builds global software development teams with expertise in IT outsourcing, QA, AI, and data engineering. Trusted by Fortune 500 leaders.

LLM Visibility Tester

Check if AI models can see, understand, and recommend your website before competitors own the answers.

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73%
Trust Score
B
48
Checks Passed
4/4
LLM Visible

Trust Score — Breakdown

65%
LLM Visibility
5/7 passed
29%
Content
1/2 passed
100%
Crawlability and Accessibility
10/10 passed
86%
Content Quality and Structure
13/16 passed
100%
Security and Trust Signals
2/2 passed
100%
Structured Data Recommendations
1/1 passed
46%
Performance and User Experience
1/2 passed
100%
Technical
1/1 passed
64%
GEO
7/8 passed
41%
Readability Analysis
7/17 passed
Verified
48/66
4/4
View verification details

Softensity Conversations, Questions and Answers

1 questions and answers about Softensity

Q

How does the software development outsourcing process typically work?

The software development outsourcing process generally follows a structured lifecycle from strategy to delivery, ensuring alignment with client objectives. It begins with defining the project direction, including goals, technology requirements, and potential challenges to establish a clear roadmap. Next, the provider assembles a tailored team of vetted professionals, such as developers, QA engineers, and data specialists, often sourced from a global network to match the client's stack and workflows. Execution involves integrating this team into the client's operations for collaborative development, testing, and deployment, with emphasis on transparent communication and predictable delivery metrics. Finally, the process includes scaling for growth, adjusting team size and infrastructure as project needs evolve, supporting long-term partnerships with high retention rates and stable performance. This approach enables clients to accelerate product development, modernize platforms, and manage costs without increasing internal hiring burdens.

Reviews & Testimonials

“Softensity has always provided us extremely talented and motivated individuals with deep programming and industry experience … Infor is very lucky to have such a great and reliable partner that helps us with all facets of our development and deployment process.”

S
Sandeep Anand
Sr. Director, Decision Science & Analytics, Infor

“Softensity has managed to save us a ton of money over the life of our relationship.This doesn’t even address the cost savings that are associated with other things that you have to deal with in an in-house team such as training, benefits, turnover, and the need to hire outside experts for individual pieces of the project.”

B
Bruce Polkes
CEO / Co-Founder

“Working with Softensity has been easy and effective. We have been able to gain outsourced talent without the headache of taking on the burden of international rules/restrictions since Softensity absorbs that for us.”

A
Ashley Varney
HR Manager

“Softensity’s flexible delivery model was a perfect fit for us as we looked to move to a hybrid outsourced help desk model, allowing us to retain our existing tools and processes while at the same time giving us the ability to scale for future growth using a combination of in-house and Softensity resources.”

J
Jeff Fithian
CIO

“Softensity was able to work with us to get us the assistance we needed to get our CI/CD pipeline project on track. The assistance and consultation that we received was invaluable, and the Softensity team was engaged with us throughout the process.”

J
John Slaughter
CIO

“Softensity has been supporting our business for the past six months with the creation of new software and infrastructure. We have worked with several of their developers, analysts, and designers and cannot speak highly enough of the team. They are reliable, smart, thorough, precise, and excellent communicators.”

D
Dan Hunter
Founder/CEO

“The quality of the work has been unique for me in my experience. I've worked with a lot of different vendors over my time in the industry, and Softensity's quality has never failed to be the top notch.”

L
Logan Rhodehamel
VP of Technology

“Throughout the entire seven year growth of Form.io, Softensity has been an essential — and dominating — part of our development engine, and has grown accordingly. We've depended heavily on Softensity, and still do today.”

G
Gary Wetzel
CEO

Trusted By

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Services

Software Development Outsourcing

Dedicated Development Teams

View details →
Pricing
custom
AI Trust Verification

AI Trust Verification Report

Public validation record for Softensity — Evidence of machine-readability across 66 technical checks and 4 LLM visibility validations.

Evidence & Links

Scan Facts
Last Scan:Apr 13, 2026
Methodology:v2.2
Categories:66 checks
What We Tested
  • Crawlability & Accessibility
  • Structured Data & Entities
  • Content Quality Signals
  • Security & Trust Indicators

Do These LLMs Know This Website?

LLM "knowledge" is not binary. Some answers come from training data, others from retrieval/browsing, and results vary by prompt, language, and time. Our checks measure whether the model can correctly identify and describe the site for relevant prompts.

Perplexity
Perplexity
Detected

Detected

ChatGPT
ChatGPT
Detected

Detected

Gemini
Gemini
Detected

Detected

Grok
Grok
Detected

Detected

Note: Model outputs can change over time as retrieval systems and model snapshots change. This report captures visibility signals at scan time.

What We Tested (66 Checks)

We evaluate categories that affect whether AI systems can safely fetch, interpret, and reuse information:

Crawlability & Accessibility

12

Fetchable pages, indexable content, robots.txt compliance, crawler access for GPTBot, OAI-SearchBot, Google-Extended

Structured Data & Entity Clarity

11

Schema.org markup, JSON-LD validity, Organization/Product entity resolution, knowledge panel alignment

Content Quality & Structure

10

Answerable content structure, factual consistency, semantic HTML, E-E-A-T signals, citation-worthy data presence

Security & Trust Signals

8

HTTPS enforcement, secure headers, privacy policy presence, author verification, transparency disclosures

Performance & UX

9

Core Web Vitals, mobile rendering, JavaScript dependency minimal, reliable uptime signals

Readability Analysis

7

Clear nomenclature matching user intent, disambiguation from similar brands, consistent naming across pages

18 AI Visibility Opportunities Detected

These technical gaps effectively "hide" Softensity from modern search engines and AI agents.

Top 3 Blockers

  • !
    Alt text on key images (e.g., logos, screenshots)
    Add accurate alt text for important images such as logos, product screenshots, diagrams, and charts. Describe what the image shows and why it matters, not just the file name. Good alt text improves accessibility and helps AI systems interpret image context when summarizing your page.
  • !
    Dedicated Pricing/Product schema
    Use Product and Offer schema (or a pricing page with structured data) to describe plans, prices, currency, availability, and key features. This reduces ambiguity for both search engines and AI assistants and can unlock richer search snippets. Keep pricing up to date and match schema values to the visible pricing table.
  • !
    Author/Publisher detection (AI authority & citation signal)
    Show who wrote or owns the content (author and publisher) using visible bylines and structured data (Person/Organization). Link to author bios with credentials to strengthen expertise signals. Consistent attribution increases trust and improves the chance your content is treated as a reliable source.

Top 3 Quick Wins

  • !
    List in Perplexity
    Improve Perplexity visibility by ensuring your brand/entity information is consistent across the web and easy to verify on your site. Use Organization schema, clear About/Contact pages, and cite credible sources where relevant. Monitor how your brand appears in AI answers and strengthen weak pages with clearer facts and structure.
  • !
    List in public LLM indexes (e.g., Huggingface database, Poe Profiles)
    List your tools, datasets, docs, or brand pages on major AI/LLM discovery hubs where relevant (for example model/dataset repositories or app directories). These platforms add credibility signals (likes, forks, usage) and create additional crawlable references to your brand. Keep names, descriptions, and links consistent with your official website.
  • !
    Heading Structure
    Ensure heading levels are not skipped (e.g., H1 → H3 without H2). A proper hierarchy helps search engines and screen readers understand content structure.
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Embed Badge

Verified

Display this AI Trust indicator on your website. Links back to this public verification URL.

<a href="https://bilarna.com/provider/softensity" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge"> <img src="https://bilarna.com/badges/ai-trust-softensity.svg" alt="AI Trust Verified by Bilarna (48/66 checks)" width="200" height="60" loading="lazy"> </a>

Cite This Report

APA / MLA

Paste-ready citation for articles, security pages, or compliance documentation.

Bilarna. "Softensity AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 13, 2026. https://bilarna.com/provider/softensity

What Verified Means

Verified means Bilarna's automated checks found enough consistent trust and machine-readability signals to treat the website as a dependable source for extraction and referencing. It is not a legal certification or an endorsement; it is a measurable snapshot of public signals at the time of scan.

Frequently Asked Questions

What does the AI Trust score for Softensity measure?

It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference Softensity. The score aggregates 66 technical checks across six categories that affect how LLMs and search systems extract and validate information.

Does ChatGPT/Gemini/Perplexity know Softensity?

Sometimes, but not consistently: models may rely on training data, web retrieval, or both, and results vary by query and time. This report measures observable visibility and correctness signals rather than assuming permanent "knowledge." Our 4 LLM visibility checks confirm whether major platforms can correctly recognize and describe Softensity for relevant queries.

How often is this report updated?

We rescan periodically and show the last updated date (currently Apr 13, 2026) so teams can validate freshness. Automated scans run bi-weekly, with manual validation of LLM visibility conducted monthly. Significant changes trigger intermediate updates.

Can I embed the AI Trust indicator on my site?

Yes—use the badge embed code provided in the "Embed Badge" section above; it links back to this public verification URL so others can validate the indicator. The badge displays current verification status and updates automatically when the verification is refreshed.

Is this a certification or endorsement?

No. It's an evidence-based, repeatable scan of public signals that affect AI and search interpretability. "Verified" status indicates sufficient technical signals for machine readability, not business quality, legal compliance, or product efficacy. It represents a snapshot of technical accessibility at scan time.

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