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Kambda: Verified Review & AI Trust Profile

Tired of searching for top talent to expand your development team? At Kambda, we integrate expert developers into your team to take your projects to the next level. Discover How Our services <10+ Years of Empowering Businesses Like Yours/> At Kambda, we specialize in web, mobile, and desktop development, as well as Sta

LLM Visibility Tester

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

Check Your Website's AI Visibility
59%
Trust Score
C
47
Checks Passed
2/4
LLM Visible

Trust Score — Breakdown

50%
LLM Visibility
4/7 passed
100%
Content
2/2 passed
91%
Crawlability and Accessibility
9/10 passed
38%
Content Quality and Structure
9/16 passed
67%
Security and Trust Signals
1/2 passed
100%
Structured Data Recommendations
1/1 passed
100%
Performance and User Experience
2/2 passed
100%
Technical
1/1 passed
27%
GEO
6/8 passed
71%
Readability Analysis
12/17 passed
Verified
47/66
2/4
View verification details

Kambda Conversations, Questions and Answers

2 questions and answers about Kambda

Q

What is an AI-powered software sourcing platform?

An AI-powered software sourcing platform is a digital B2B marketplace where businesses can find, evaluate, and connect with verified software vendors or service providers using artificial intelligence. The platform uses AI to streamline the discovery and comparison of complex enterprise solutions. Key functions include intelligent search and filtering based on specific project requirements, automated comparison of vendor capabilities and pricing, AI-powered recommendation engines that suggest suitable matches, and secure request-for-quote (RFQ) systems to facilitate procurement. The primary benefit is reducing the time and complexity traditionally involved in vendor sourcing, providing a data-driven approach to selecting the right partner for software development, IT services, or other digital transformation needs.

Q

How does the AI vendor matching process work?

The AI vendor matching process works by analyzing a buyer's project requirements and comparing them against a verified database of provider profiles to identify the most suitable candidates. Initially, the buyer inputs detailed specifications such as project scope, budget, timeline, required technologies, and industry domain. The AI system then processes this data using natural language understanding (NLU) and machine learning algorithms to interpret needs and context. It cross-references this with vendor data points like past project portfolios, technical skills, client ratings, pricing models, and availability. The algorithm scores and ranks providers based on relevance, fit, and historical performance, presenting a shortlist. This automated matching reduces human bias, uncovers options a buyer might not have considered, and significantly accelerates the initial sourcing phase from weeks to hours.

Reviews & Testimonials

“Harry Kerasidis Founder Kambda has been a pivotal component of our team and I cannot say enough good things about them. My company is an entirely web based SaaS company I designed for the prevention, detection, and management of sport concussion injuries. There is a web app and a mobile app (on both iOS and Android) that interface. The back end of the web app is on Ruby on Rails. Emilio, Silvia and their team have shown great software development organizational skills, deliver on their promises promptly, and work tirelessly to achieve their benchmarks. In addition to their skills as developers, they have often stepped...”

A
Anonymous
Harry Kerasidis

“Jerry Goldberg Director of Engineering Kambda has never let us down in terms of reliability or technical prowess in helping us deliver software. Their attitude, competence, and ability to communicate in similar time zones to the U.S., makes them an easy choice if you are looking for a software development partner.”

A
Anonymous
Jerry Goldberg

“Director of Engineering”

A
Anonymous

“Steven Sacks CEO & Co-Founder The decision to partner with Kambda to further build out our company’s technology was the best decision we’ve ever made. Emilio and team are responsible and diligent in everything they do. Not only has their work directly led to an improvement in our collaboration software, but being able to rely on Kambda has made life easier for me. With Kambda, I have confidence that my company can continue to hit its technology milestones and be on a path of steady growth.”

A
Anonymous
Steven Sacks

“CEO & Co-Founder”

A
Anonymous

“Laura Zeledón Project Manager There are very important factors to be noted before working with outsourcing services and some of the most important are professionalism, trust and good results. The Kambda team has offered us all of them and I appreciate very much the work they have done for us.”

A
Anonymous
Laura Zeledón

“Project Manager”

A
Anonymous

“Jeffrey Weiss CTO We have been extremely satisfied with Kambda. They assembled an experienced team that worked efficiently and seamlessly with our staff to quickly implement our projects. They handled project management, development, and QA extremely well and were able to understand our needs and produce the desired results. The Kambda staff is very responsive, especially when we encounter “emergencies” that need immediate attention.”

A
Anonymous
Jeffrey Weiss

“Warren Weiss Owner Kambda helped me create a website for my real estate business. I was blown away with how incredible the website turned out. During the process, I added many features that were beyond a simple WordPress site and Kambda did a phenomenal job at implementing the softwares and databases into my website.”

A
Anonymous
Warren Weiss

“Jeff Kramer CTO Kambda has become a key partner in our software development process. They have done a great job in both feature work as well as ongoing development process and architecture improvements that have resulted in better throughput and a more scalable platform. Their flexible approach has been an excellent fit for our needs.”

A
Anonymous
Jeff Kramer

“Matt Pressnall President, Perception Builder, LLC Kambda has been incredible to work with at expanding my development resources. Their web development is first rate and I say that having done web development for over 20 years. You can have superficial knowledge of the web and call yourself a web developer but Emilio has the experience of doing this for decades as well and it shows. This means the solutions they come up with are the right ones. Their project management is exceptional. I interviewed multiple companies, vetted their references and Kambda had the best feedback and I am so glad I moved forward them!”

A
Anonymous
Matt Pressnall

“President, Perception Builder, LLC”

A
Anonymous

“Brad Meredith CEO We sourced Kambda to design and produce our apps for system control and paypent gateway. They tested and delivered a flawless product at a reasonable price. We will use them again.”

A
Anonymous
Brad Meredith

“Danny Weber Founder Kambda was able to take over the development of our app from a previous development company that could not get the job done. Working with Kambda has been a night and day difference with responsiveness, quality code, cost-effectiveness, communication, and more. I would recommend Kambda to anyone.”

A
Anonymous
Danny Weber

Services

Custom Software Solutions

Custom Software Development

View details →
Pricing
custom
AI Trust Verification

AI Trust Verification Report

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

Evidence & Links

Scan Facts
Last Scan:Apr 19, 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
Partial

Improve 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.

Grok
Grok
Partial

Improve 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.

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

19 AI Visibility Opportunities Detected

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

Top 3 Blockers

  • !
    Is sitemap.xml exists?
    Maintain a sitemap.xml that includes your important canonical URLs and keeps last-modified dates accurate when content changes. Submit it in Search Console and ensure it is accessible to crawlers. A sitemap improves discovery of deeper pages and helps systems prioritize fresh, updated content.
  • !
    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.
  • !
    JSON-LD Schema: Organization, Product, FAQ, Website
    Add 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.

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 Gemini
    Improve 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 Grok
    Improve 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.
Unlock 19 AI Visibility Fixes

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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/kambda" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge"> <img src="https://bilarna.com/badges/ai-trust-kambda.svg" alt="AI Trust Verified by Bilarna (47/66 checks)" width="200" height="60" loading="lazy"> </a>

Cite This Report

APA / MLA

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

Bilarna. "Kambda AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 19, 2026. https://bilarna.com/provider/kambda

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 Kambda measure?

It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference Kambda. 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 Kambda?

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 Kambda for relevant queries.

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?

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.

Unlock the full AI visibility report

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