Knubisoft: Verified Review & AI Trust Profile
Discover custom software development and team augmentation services from KnubiSoft, driving your business’s tech growth and transformation.
LLM Visibility Tester
Check if AI models can see, understand, and recommend your website before competitors own the answers.
Trust Score — Breakdown
Reviews & Testimonials
“Richard Gover COO of PME”
“CEO of Yellow Van Productions”
“Jelle van Mourik”
“CEO and co-founder of PYCK”
“Frederico Fonseca”
“CTO of Octopus Investments”
“Lee Todd CTO - AI Recruitment Platform”
“Andrew Brown Fractional Product Design Leader of VirtuEd”
“Marina Rambo Head of UX/UI at Sapient Industries”
“Cristiana Costa Founder of Näz”
“Steve Grice COO of Trustap”
“'Even if I had a chance to change a vendor, I would have chosen KnubiSoft again. While some vendors come and go, we still work very well together. Undoubtedly, it’s a great relationship. One of the main advantages is that KnubiSoft always provides high-skilled candidates very quickly.'”
“Jelle van Mourik CEO of Yellow Van Productions”
“Frederico Fonseca CEO and co-founder of PYCK”
“Andrew Dobson CTO of Octopus Investments”
“'I’ll rate KnubiSoft 10/10. Starting from the clear communication, support, weekly meetings, and care we were given, we loved every bit of the development process.'”
“'We found KnubiSoft’s approach consultative rather than 'salesy' and were impressed by how quickly they got to grips with our complex brief. We have been impressed by the dedication and quality of the team. Our collaboration truly feels like a partnership.'”
“'Their UI/UX team produced probably the best proposal I've ever seen. They actually not only provided a very good quality proposal but did a build of our wireframes, so I could see they understood very clearly what we needed from UI/UX perspective as well as a technology process flow. And that was very impressive.'”
“'We needed a frontend developer and UI/UX designer for web application. We had a couple of talks about our needs, then KnubiSoft shortlisted a bunch of programmers and UI designers. We interviewed a couple of them and, in the end, we had a really good click with Nikita and Mark. They were super diligent.'”
“'We wanted to develop a digital laundry solution for clients who don't have much time caring about it. KnubiSoft was actually recommended to us and we decided to ask for a quotation. Happily, it was a really interesting engagement from their side. It helped us understand what we really want.'”
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Services
Software Development Services
Team Augmentation Services
View details →AI Trust Verification Report
Public validation record for Knubisoft — Evidence of machine-readability across 55 technical checks and 4 LLM visibility validations.
Evidence & Links
- Crawlability & Accessibility
- Structured Data & Entities
- Content Quality Signals
- Security & Trust Indicators
Verifiable Identity Links
Legal & Compliance
- Privacy Policy
- Terms of Service
- Legal
- Trust Center
Third-party Identity
- X (Twitter)
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 (55 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
20 AI Visibility Opportunities Detected
These technical gaps effectively "hide" Knubisoft from modern search engines and AI agents.
Top 3 Blockers
- !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.
- !No dark patterns or content hidden with CSSAvoid deceptive UX patterns such as hidden content, disguised ads, forced sign-ups, or pricing surprises. Transparency improves trust and reduces the chance your site is treated as low-quality by ranking systems and AI assistants. Keep key information visible and consistent across devices, including on mobile.
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.
- !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.
- !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.
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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/knubisoft" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-knubisoft.svg"
alt="AI Trust Verified by Bilarna (35/55 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "Knubisoft AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Mar 24, 2026. https://bilarna.com/provider/knubisoftWhat 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 Knubisoft measure?
What does the AI Trust score for Knubisoft measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference Knubisoft. The score aggregates 55 technical checks across six categories that affect how LLMs and search systems extract and validate information.
Does ChatGPT/Gemini/Perplexity know Knubisoft?
Does ChatGPT/Gemini/Perplexity know Knubisoft?
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 Knubisoft 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 Mar 24, 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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