since 2006: Verified Review & AI Trust Profile
Make IT is an expert IT company that builds, deploys, and operates enterprise exchange and auction systems, custom software, and IT Infrastructure solutions that turn organizations into category leaders.
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since 2006 Conversations, Questions and Answers
3 questions and answers about since 2006
QWhat is custom software development and how can it benefit my business?
What is custom software development and how can it benefit my business?
Custom software development is the process of designing, building, and deploying software applications tailored to specific business needs, offering solutions that off-the-shelf software cannot provide. It benefits businesses by enabling scalability to grow with the organization, addressing unique workplace challenges to improve efficiency, and capitalizing on market opportunities through innovative features. For example, custom software can be deployed in diverse environments, from office settings to remote locations, supporting core functions like data management, online trading, and financial analysis. This approach ensures alignment with business processes, leading to increased productivity, competitive advantage, and long-term value by fostering innovation and adapting to evolving requirements.
QHow do I choose the right IT support partner for my organization?
How do I choose the right IT support partner for my organization?
Choosing the right IT support partner involves evaluating their ability to enhance your organization's productivity, competitiveness, and growth through reliable and comprehensive support services. Key factors include a balanced mix of on-premise and cloud-based support for flexibility, robust backup and security systems to protect critical data, and a long-term, collaborative approach that adapts to your evolving business needs. A reliable partner should offer proactive maintenance to prevent issues, quick resolution of technical problems to minimize downtime, and strategic advice to optimize IT infrastructure. This ensures that your IT operations remain efficient, secure, and scalable, supporting business continuity, reputation management, and sustainable expansion.
QWhat are the key phases in a successful enterprise software development lifecycle?
What are the key phases in a successful enterprise software development lifecycle?
The key phases in a successful enterprise software development lifecycle are advising, building, and operating, which ensure a comprehensive approach from ideation to ongoing evolution. The advising phase involves applying design thinking and business intelligence to define strategic goals, analyze requirements, and plan the project with creativity and analytical rigor. Building is the agile development stage where teams use appropriate technologies and methodologies to create the software, ensuring it meets specific business objectives through close collaboration and iterative processes. Operating covers deployment, maintenance, and continuous improvement, focusing on reliability, security, and adaptation to changing needs to deliver long-term value and sustain partnerships. This structured lifecycle guarantees that the software is technically sound, aligned with business vision, and capable of driving innovation and competitive advantage.
Reviews & Testimonials
“Sergey and his team are able to understand very complicated tasks that I had in mind (I am an SEO and web developers as well as product managers know that.”
“Philipp Loew-Alberchtz Co-Founder of Trust Stamp”
“Co-Founder of Trust Stamp”
“Working with MakeIT was an absolute delight. We’ve worked together on my iOS project and I was thoroughly impressed by his dedication and professionalism. MakeIT has been a great contribution in improving my app. Highly recommended.”
“Nir Avtalyon Founder of Animal Kingdom”
“Founder of Animal Kingdom”
“As a remote partner, MakeIT has effectively handled 40% of the client's support workload. Their communication is impeccable, as they're consistently in touch and never fail to fulfill their commitments. Their exquisite attention to detail and aptitude in technical documentation are both remarkable.”
“Alex Mann Technical Lead”
Services
Commodity Trading Software
Custom Trading Platform Development
View details →Mobile App Development
Mobile App Development
View details →AI Trust Verification Report
Public validation record for since 2006 — 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
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 | makeit.com is the website for Make IT Solutions Inc., an IT company specializing in building, deploying, and operating enterprise exchange and auction systems, custom software, and IT infrastructure solutions, with services covering the full IT lifecycle and clients in finance, energy, and commodities.[1][3][5] |
 | Detected | Register to unlock solution playbooks & guided workflows. |
 | Partial | The provided URL 'http://www.makeit.com/' does not appear to be a live or indexed website. Accessing it results in a 'This site can’t be reached' error, suggesting it's either down, doesn't exist, or is not publicly accessible. |
 | Partial | I do not have any specific information about 'makeit.com' in my knowledge base; it may not be a prominent or indexed website. |
makeit.com is the website for Make IT Solutions Inc., an IT company specializing in building, deploying, and operating enterprise exchange and auction systems, custom software, and IT infrastructure solutions, with services covering the full IT lifecycle and clients in finance, energy, and commodities.[1][3][5]
Register to unlock solution playbooks & guided workflows.
The provided URL 'http://www.makeit.com/' does not appear to be a live or indexed website. Accessing it results in a 'This site can’t be reached' error, suggesting it's either down, doesn't exist, or is not publicly accessible.
I do not have any specific information about 'makeit.com' in my knowledge base; it may not be a prominent or indexed website.
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
28 AI Visibility Opportunities Detected
These technical gaps effectively "hide" since 2006 from modern search engines and AI agents.
Top 3 Blockers
- !Open Graph title or OpenGraph & Twitter meta tags populatedOpen Graph & Twitter meta tags missing.
- !LLM-crawlable robots.txtRobots meta or /robots.txt missing.
- !LLM-crawlable llms.txtLLMs meta or /llms.txt missing.
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.
- !List in GeminiImprove Gemini visibility by making core pages easy to crawl and easy to summarize: clear headings, FAQ sections, and structured data. Keep metadata (title/description) unique and aligned with the page content. Build consistent entity signals across your site and trusted third-party profiles.
- !List in GrokImprove Grok visibility by maintaining consistent brand facts and strong entity signals (About page, Organization schema, sameAs links). Keep key pages fast, crawlable, and direct in their answers. Regularly update important pages so AI systems have fresh, reliable information to cite.
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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/makeit" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-makeit.svg"
alt="AI Trust Verified by Bilarna (27/55 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "since 2006 AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Mar 25, 2026. https://bilarna.com/provider/makeitWhat 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 since 2006 measure?
What does the AI Trust score for since 2006 measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference since 2006. 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 since 2006?
Does ChatGPT/Gemini/Perplexity know since 2006?
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 since 2006 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 25, 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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