since 1999: Verified Review & AI Trust Profile
AndieStuff is the first professional web design studio in Semarang, Central Java - Indonesia, focused on helping businessman and their businesses succeed online
LLM Visibility Tester
Check if AI models can see, understand, and recommend your website before competitors own the answers.
Trust Score — Breakdown
since 1999 Conversations, Questions and Answers
2 questions and answers about since 1999
QWhat is a company profile website?
What is a company profile website?
A company profile website is an online platform designed to showcase a business's information, services, and portfolio to establish credibility and attract clients. It typically features an elegant and professional design that is responsive across all devices, ensuring optimal viewing on desktops, tablets, and smartphones. Key elements often include easy-to-update content management systems, support for dual languages to reach a wider audience, integration with social media platforms, and basic search engine optimization (SEO) to improve visibility. These sites are ideal for individuals, professionals, companies, manufacturers, organizations, and schools looking to present an exclusive internet presence without the complexity of e-commerce functionalities. Development usually takes 1-2 weeks, and costs can range from 5 to 10 million Indonesian Rupiah, depending on specific requirements.
QWhat is the difference between a company profile website and an e-commerce website?
What is the difference between a company profile website and an e-commerce website?
The main difference between a company profile website and an e-commerce website is their primary purpose: a company profile site focuses on presenting business information and building brand identity, while an e-commerce site is built for selling products online. Company profile websites are simpler, featuring elements like professional design, responsive layout, basic SEO, and often dual language support, with development times of 1-2 weeks and costs around 5-10 million IDR. In contrast, e-commerce websites include additional functionalities such as product catalog systems capable of handling thousands of items, online payment gateways for secure transactions, and advanced SEO engines to drive sales. Development for e-commerce sites typically takes 2-3 weeks, with costs starting from 10 million IDR. E-commerce sites are essential for businesses aiming to boost product sales globally, whereas profile sites serve informational and promotional roles.
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View details →AI Trust Verification Report
Public validation record for since 1999 — 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
Third-party Identity
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 |
 | 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. |
Detected
Detected
Detected
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
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
14 AI Visibility Opportunities Detected
These technical gaps effectively "hide" since 1999 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.
- !Is the Copyright or license footer present?Include a clear copyright or license notice in the footer and link to any relevant licensing terms. This signals professionalism, ownership, and governance of the content. It can also clarify how content may be reused, which is increasingly important as AI systems crawl and summarize the web.
- !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.
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 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.
- !Heading StructureEnsure 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
VerifiedDisplay this AI Trust indicator on your website. Links back to this public verification URL.
<a href="https://bilarna.com/provider/andiestuff" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-andiestuff.svg"
alt="AI Trust Verified by Bilarna (52/66 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "since 1999 AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 19, 2026. https://bilarna.com/provider/andiestuffWhat 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 1999 measure?
What does the AI Trust score for since 1999 measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference since 1999. 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 since 1999?
Does ChatGPT/Gemini/Perplexity know since 1999?
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 1999 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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