CreateIT: Verified Review & AI Trust Profile
A Web development company active since 2004, specializing in Web and mobile tech, complex B2B/B2C Web systems, and custom PHP applications.
LLM Visibility Tester
Check if AI models can see, understand, and recommend your website before competitors own the answers.
Trust Score — Breakdown
CreateIT Conversations, Questions and Answers
3 questions and answers about CreateIT
QWhat types of web development projects do software development agencies typically specialize in?
What types of web development projects do software development agencies typically specialize in?
Software development agencies typically specialize in creating custom web applications, e-commerce platforms, and complex B2B or B2C systems. Common specializations include building functional corporate websites, scalable platforms for high user volumes, and e-commerce solutions using technologies like WooCommerce, Shopify, or Magento. Many agencies also develop specialized systems for sectors like iGaming (online casinos, betting platforms), the medical sector, real estate with 3D configurators, and industrial applications. Their work often involves integrating these systems with external tools such as CRM or ERP software and ensuring they are built on technologies like custom PHP, JavaScript frameworks, and responsive design for mobile compatibility.
QHow does outsourcing software development to an agency typically work?
How does outsourcing software development to an agency typically work?
Outsourcing software development to an agency typically involves a structured process where specialized professionals integrate with a client's project needs. The workflow usually starts with a discovery phase where the agency analyzes business goals and requirements. Following this, a detailed project scope, technical recommendations, and cost estimates are provided. After contract agreement, a kick-off meeting introduces the dedicated team, which can include a project manager, business analyst, UX/UI designers, frontend/backend developers, QA engineers, and a system architect. The agency manages the development, often using iterative models like Time & Material for flexibility or Fixed Price for defined scopes, with regular updates and feedback loops. Post-launch support and maintenance, often with an SLA, are commonly offered to handle any future issues.
QHow do software development agencies ensure the quality and reliability of their deliverables?
How do software development agencies ensure the quality and reliability of their deliverables?
Software development agencies ensure quality and reliability through a multi-layered quality assurance (QA) process integrated throughout the development lifecycle. This process typically begins with code reviews conducted by senior developers or technical leads on every merge request. Development is supported by automated unit and integration testing to catch bugs early. For high-traffic platforms, load and performance testing simulate real-world usage. Before launch, comprehensive manual end-to-end testing is performed by dedicated QA engineers to validate all user flows. Additionally, many agencies implement architectural best practices and assign system architects to oversee technical decisions. Post-launch, they often provide maintenance services with Service Level Agreements (SLAs) to promptly address any bugs or issues discovered after deployment, ensuring long-term system stability.
Reviews & Testimonials
“"Their ability to positively translate technical aspects of the platform's function into our business is impressive."”
“"createIT has shown excellent PHP, HTML, JavaScript, CSS coding skills and proved to be a reliable business partner for ventures."”
“"We have known createIT for many years. We already worked previously when creating a B2C platform dedicated to online entertainment"”
Services
Custom Software Development
Enterprise Web App Development
View details →AI Trust Verification Report
Public validation record for CreateIT — 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
Verifiable Identity Links
Legal & Compliance
- Privacy Policy
Third-party Identity
- YouTube
- 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 (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
12 AI Visibility Opportunities Detected
These technical gaps effectively "hide" CreateIT from modern search engines and AI agents.
Top 3 Blockers
- !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.
- !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.
- !Knowledge graph signals (Organization/Person schema with sameAs links for Wikidata, Wikipedia, LinkedIn, etc.)Strengthen knowledge-graph signals with Organization/Person schema and sameAs links to authoritative profiles (Wikidata, Wikipedia if available, LinkedIn, Crunchbase, GitHub, etc.). Keep names, logos, and descriptions consistent across all profiles. This reduces entity confusion and improves how AI systems connect mentions to your brand.
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.
- !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.
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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/createit" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-createit.svg"
alt="AI Trust Verified by Bilarna (54/66 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "CreateIT AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 19, 2026. https://bilarna.com/provider/createitWhat 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 CreateIT measure?
What does the AI Trust score for CreateIT measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference CreateIT. 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 CreateIT?
Does ChatGPT/Gemini/Perplexity know CreateIT?
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 CreateIT 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 19, 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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