Verified
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Fragmenta: Verified Review & AI Trust Profile

Diseño Web & Desarrollo Front End

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
38%
Trust Score
C
33
Checks Passed
3/4
LLM Visible

Trust Score — Breakdown

55%
LLM Visibility
4/7 passed
100%
Content
2/2 passed
57%
Crawlability and Accessibility
7/10 passed
16%
Content Quality and Structure
5/16 passed
100%
Security and Trust Signals
2/2 passed
0%
Structured Data Recommendations
0/1 passed
46%
Performance and User Experience
1/2 passed
100%
Technical
1/1 passed
27%
GEO
6/8 passed
29%
Readability Analysis
5/17 passed
Verified
33/66
3/4
View verification details

Fragmenta Conversations, Questions and Answers

3 questions and answers about Fragmenta

Q

What are the key terms and conditions for hiring a web design service?

The key terms and conditions for hiring a web design service typically outline the scope of work, user obligations, and modification policies. These terms regulate access and use of the service provider's website and offerings, requiring users to agree before utilizing services. They include clauses on acceptable use, prohibiting automation or malicious software, and reserve the right to modify content or services without prior notice. Service providers do not guarantee continuous availability and disclaim liability for errors, damages, or third-party issues. Intellectual property rights are defined, and merely accessing the site establishes a user relationship. Clients should review terms to understand responsibilities, updates, and legal frameworks governing the engagement.

Q

How is data privacy and protection managed in web development contracts?

Data privacy and protection in web development contracts are managed through compliance with legal standards and explicit privacy policies. Service providers implement measures to secure personal data collected from users, ensuring confidentiality, integrity, and prevention of unauthorized access. These policies are based on principles like lawfulness, quality, purpose, loyalty, and responsibility, requiring user consent for data processing. They also address the use of cookies to enhance website functionality, collecting anonymous information such as visit frequency and IP addresses for improvement purposes. Users can control cookie settings in their browsers, but disabling them may limit site features. Privacy policies may be updated due to legislative changes, and continued site use implies acceptance. External links to third-party sites have separate policies, and the primary provider is not responsible for data shared on those sites.

Q

What should clients know about external links and third-party content in web design?

Clients should know that external links and third-party content in web design are included to enhance user experience but are not controlled by the service provider. Websites may contain links to other sites, images, videos, or services owned by third parties, which are provided for convenience and enrichment. The primary service provider does not review, control, or endorse this external content, and does not guarantee its availability, accuracy, veracity, or legality. They are not responsible for any damages or issues arising from access to or use of third-party sites, as these have their own terms and privacy policies. This policy protects the service provider from liabilities while informing users to exercise caution and independently verify external content. It is standard practice to disclose such disclaimers to manage expectations and legal responsibilities.

Services

Web Design & Development

Front-End Development

View details →
AI Trust Verification

AI Trust Verification Report

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

Evidence & Links

Scan Facts
Last Scan:Apr 22, 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

33 AI Visibility Opportunities Detected

These technical gaps effectively "hide" Fragmenta 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 llms.txt
    Create 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.

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.
  • !
    Natural, jargon-free summary included?
    Add a short, plain-language summary near the top of the page (2–4 sentences). Avoid jargon, buzzwords, and internal acronyms; if a technical term is required, define it once in simple words. This improves readability, increases conversions, and makes the content easier for AI systems to extract and reuse in direct answers.
Unlock 33 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/fragmenta" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge"> <img src="https://bilarna.com/badges/ai-trust-fragmenta.svg" alt="AI Trust Verified by Bilarna (33/66 checks)" width="200" height="60" loading="lazy"> </a>

Cite This Report

APA / MLA

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

Bilarna. "Fragmenta AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 22, 2026. https://bilarna.com/provider/fragmenta

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 Fragmenta measure?

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

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 Fragmenta for relevant queries.

How often is this report updated?

We rescan periodically and show the last updated date (currently Apr 22, 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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