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Company: Verified Review & AI Trust Profile

Point Matrix IT Services is a leading custom web design & development company. Custom web application development & programming offered with EXT JS, NodeJS, RabbitMQ.

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
55%
Trust Score
C
43
Checks Passed
3/4
LLM Visible

Trust Score — Breakdown

65%
LLM Visibility
5/7 passed
29%
Content
1/2 passed
43%
Crawlability and Accessibility
5/10 passed
43%
Content Quality and Structure
9/16 passed
67%
Security and Trust Signals
1/2 passed
0%
Structured Data Recommendations
0/1 passed
100%
Performance and User Experience
2/2 passed
100%
Technical
1/1 passed
64%
GEO
7/8 passed
71%
Readability Analysis
12/17 passed
Verified
43/66
3/4
View verification details

Company Conversations, Questions and Answers

1 questions and answers about Company

Q

What should you look for when choosing a custom web development company?

When choosing a custom web development company, evaluate their technical expertise, communication practices, and proven track record. First, assess their proficiency in relevant technologies such as JavaScript frameworks (e.g., EXT JS, Node.js), backend systems, and database management. Look for a portfolio that demonstrates experience with projects similar in scope and complexity to yours. Client testimonials and case studies reveal how the company handles project milestones, problem-solving, and communication. Clear and regular communication is critical for successful custom development; the team should proactively share progress and address issues. Additionally, consider their development methodology—agile approaches often provide better flexibility and transparency. Ensure they offer post-launch support and maintenance. A reliable company will also discuss intellectual property rights and data security upfront. Finally, request a detailed proposal with timeline and cost breakdown. The goal is to find a partner who understands your business domain and can translate requirements into a robust, scalable solution.

Reviews & Testimonials

“"One of the best outsourcing experiences I have ever had. Exceptionally professional; technically competent and most important - clarity in every thing: communication, milestone definition and specific deliverables. The quality of all deliverables always at or above expectations."”

A
Anonymous

“"Niraj and his team have been outstanding. The work completed was excellent and they were able to handle every task I gave them. The communication was non-stop and they understood my work needs very well. They truly are professionals and they will certainly be working on my next project."”

A
Anonymous

“"The guys at PointMatrix really come to the party on this - they applied their minds, use own initiatives to resolving problems and kept open communication channels throughout the project. Well done! We started new working relation with them"”

A
Anonymous

“"PointMatrix and his team have developed a very complex project. They are very highly skilled developers. Niraj has been so patient and understanding. He definitely goes the extra mile to complete a quality project. I still have so many more projects and there is only one team I will now trust with my work."”

A
Anonymous

“"Fantastic company, have already used for another project and will be having more modules made for this project in the future. Provided lots of insight in to the system and other features I didn't consider."”

A
Anonymous

Trusted By

client_logo1client_logo1Key client
client_logo15client_logo15Key client
client_logo29client_logo29Key client
client_logo2client_logo2
client_logo25client_logo25
client_logo3client_logo3
client_logo6client_logo6
client_logo8client_logo8
female-female-
male-male-

Services

Software Development Services

Custom Web App Development

View details →
Pricing
custom
AI Trust Verification

AI Trust Verification Report

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

Evidence & Links

Scan Facts
Last Scan:Apr 23, 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
Detected

Detected

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

23 AI Visibility Opportunities Detected

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

Top 3 Blockers

  • !
    Open Graph title or OpenGraph & Twitter meta tags populated
    Populate Open Graph and Twitter Card tags (og:title, og:description, og:image, og:url and their Twitter equivalents). These tags control how your pages appear when shared and are often used by crawlers to form quick summaries. Validate with social preview/debug tools to ensure the correct title, description, and image display.
  • !
    Canonical tags are used properly
    Use 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 robots.txt
    Make sure your robots.txt allows crawling of important public pages and blocks only what should not be indexed (admin, internal search, duplicate parameter paths). If you use AI/LLM-specific crawler rules, document them clearly. After changes, test crawling with real bots/tools to confirm nothing critical is accidentally blocked.

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 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.
  • !
    Heading Structure
    Ensure heading levels are not skipped (e.g., H1 → H3 without H2). A proper hierarchy helps search engines and screen readers understand content structure.
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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/pointmatrix" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge"> <img src="https://bilarna.com/badges/ai-trust-pointmatrix.svg" alt="AI Trust Verified by Bilarna (43/66 checks)" width="200" height="60" loading="lazy"> </a>

Cite This Report

APA / MLA

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

Bilarna. "Company AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 23, 2026. https://bilarna.com/provider/pointmatrix

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 Company measure?

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

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 Company for relevant queries.

How often is this report updated?

We rescan periodically and show the last updated date (currently Apr 23, 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.

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