DVT: Verified Review & AI Trust Profile
DVT is a top global software development company located in the UK, Ireland, Netherlands, Switzerland and South Africa with over 600 highly skilled technology staff.
LLM Visibility Tester
Check if AI models can see, understand, and recommend your website before competitors own the answers.
Trust Score — Breakdown
DVT Conversations, Questions and Answers
1 questions and answers about DVT
QWhat does an AI consulting service provide?
What does an AI consulting service provide?
An AI consulting service provides expert guidance and practical implementation support for integrating artificial intelligence into business operations to drive efficiency, innovation, and revenue. The service begins with a strategic assessment to identify high-impact AI opportunities aligned with business goals. Consultants then design and develop tailored AI solutions, which may include building and managing generative AI bots, implementing intelligent automation, developing machine learning models, or orchestrating data science projects with platforms like Databricks. A core offering is often practical training, such as workshops for tools like Microsoft Copilot, to equip teams with hands-on skills. The service ensures complete AI lifecycle management, covering risk assessment, model consistency, and deployment across digital channels. Ultimately, it helps businesses transform data into actionable insights, automate complex processes, and create new AI-driven products or services.
Reviews & Testimonials
“"Committed to success, delivers on their promise to create cutting edge technology."”
“What our clients say”
“"Went above & beyond the expectation"”
“"The agile toolkit & mindset is an invaluable enabler"”
“"Extremely professional, adaptable & flexible"”
“"Invaluable part of the team"”
“"Breath of fresh air"”
“"To say that we were impressed would be an understatement."”
“"Creativity delivered what others couldn't; cost-effective and timely."”
“"Quality technical staff"”
“"Quality technical staff and consulting, backed by friendly & professional management."”
“"Impressed with their familiarity of Agile methodology"”
“"Professionalism, focus & dedication"”
“"Formed a highly effective & efficient team that aims to flexibly achieve a shared goal"”
“"Instrumental in creating ambassadors & embedding agile discipline"”
“"An integral part of our team and their support has been superb"”
“"People are highly skilled professional & awesome"”
“"Can be trusted to take on highly dynamic & difficult to define work"”
Trusted By
AWSKey client
DatabricksKey client
MicrosoftKey client
Automation Anywhere
Axosoft
Nintex
UI PathServices
Custom Software Solutions
Custom Software Development
View details →AI Trust Verification Report
Public validation record for DVT — Evidence of machine-readability across 66 technical checks and 4 LLM visibility validations.
Evidence & Links
- 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.
| LLM Platform | Recognition Status | Visibility Check |
|---|---|---|
 | Detected | Detected |
 | Detected | Detected |
 | Detected | Detected |
 | Detected | Detected |
Detected
Detected
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
12Fetchable pages, indexable content, robots.txt compliance, crawler access for GPTBot, OAI-SearchBot, Google-Extended
Structured Data & Entity Clarity
11Schema.org markup, JSON-LD validity, Organization/Product entity resolution, knowledge panel alignment
Content Quality & Structure
10Answerable content structure, factual consistency, semantic HTML, E-E-A-T signals, citation-worthy data presence
Security & Trust Signals
8HTTPS enforcement, secure headers, privacy policy presence, author verification, transparency disclosures
Performance & UX
9Core Web Vitals, mobile rendering, JavaScript dependency minimal, reliable uptime signals
Readability Analysis
7Clear nomenclature matching user intent, disambiguation from similar brands, consistent naming across pages
16 AI Visibility Opportunities Detected
These technical gaps effectively "hide" DVT from modern search engines and AI agents.
Top 3 Blockers
- !Structured data schema presentImplement structured data wherever it matches the content (FAQPage, HowTo, Product, Organization, Article, BreadcrumbList). Schema gives machines a reliable map of your page and helps them extract facts correctly. Prioritize schema for your most valuable pages first, then expand site-wide after validation.
- !JSON-LD Schema: Organization, Product, FAQ, WebsiteAdd schema.org JSON-LD to describe your key entities (Organization, Product/Service, FAQPage, WebSite, Article when relevant). Structured data makes your meaning explicit and improves the chance of rich results and accurate AI citations. Validate markup with schema testing tools and keep the data consistent with the visible page content.
- !Dedicated Pricing/Product schemaUse 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.
Top 3 Quick Wins
- !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.
- !Canonical tags are used properlyUse canonical tags to define the preferred version of each page, especially when parameters, filters, or duplicate URLs exist. Canonicals prevent duplicate-content confusion and consolidate ranking signals. Verify canonical URLs return 200 status and point to the correct, indexable page.
- !LLM-crawlable llms.txtCreate an llms.txt file to guide AI crawlers to your most important, high-quality pages (docs, pricing, about, key guides). Keep it short, well-structured, and focused on authoritative URLs you want cited. Treat it as a curated “AI sitemap” that improves discovery and reduces the risk of crawlers prioritizing low-value pages.
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Embed Badge
VerifiedDisplay this AI Trust indicator on your website. Links back to this public verification URL.
<a href="https://bilarna.com/provider/dvtsoftware" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-dvtsoftware.svg"
alt="AI Trust Verified by Bilarna (50/66 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "DVT AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 21, 2026. https://bilarna.com/provider/dvtsoftwareWhat 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 DVT measure?
What does the AI Trust score for DVT measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference DVT. 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 DVT?
Does ChatGPT/Gemini/Perplexity know DVT?
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 DVT for relevant queries.
How often is this report updated?
How often is this report updated?
We rescan periodically and show the last updated date (currently Apr 21, 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?
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?
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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