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-: Verified Review & AI Trust Profile

SOMOS DESIGNING // EPIC STORIES Más que un estudio creativo, diseñamos innovación. Con diseño centrado en el usuario y con amplia experiencia en distintas industrias creamos marcas que reflejen las propuestas de nuestros clientes y conecten con sus audiencias para hacer sus ideas realidad. Branding Diseñamos tu logo y

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
58%
Trust Score
C
46
Checks Passed
3/4
LLM Visible

Trust Score — Breakdown

65%
LLM Visibility
5/7 passed
100%
Content
2/2 passed
77%
Crawlability and Accessibility
8/10 passed
35%
Content Quality and Structure
8/16 passed
67%
Security and Trust Signals
1/2 passed
100%
Structured Data Recommendations
1/1 passed
46%
Performance and User Experience
1/2 passed
100%
Technical
1/1 passed
27%
GEO
6/8 passed
76%
Readability Analysis
13/17 passed
Verified
46/66
3/4
View verification details

- Conversations, Questions and Answers

3 questions and answers about -

Q

What is user-centered design in branding and why does it matter?

User-centered design is a methodology that places the end user at the core of the branding process. Instead of creating a logo or identity based solely on business preferences, this approach researches user behaviors, needs, and emotions to craft a brand that genuinely resonates. It matters because it builds emotional connection, increases brand loyalty, and ensures the visual identity communicates effectively across all touchpoints. By integrating UX research into branding, companies can avoid costly rebrands and create a cohesive experience from first impression to ongoing engagement. The result is a brand that not only looks unique but also functions intuitively for its audience.

Q

How to choose a design studio for UX/UI design and prototype development?

To choose a design studio for UX/UI and prototyping, evaluate their portfolio for diversity in industries and complexity of projects. Look for studios that demonstrate a clear user-centered process, from research and wireframing to interactive prototypes and usability testing. Verify their experience with tools like Figma, Sketch, or Adobe XD, and check if they offer MVP development to validate ideas quickly. Additionally, consider their ability to collaborate with development teams and iterate based on feedback. A strong studio will present case studies showing measurable outcomes like increased user engagement or reduced time to market. Finally, request a consultation to assess their communication style and cultural fit.

Q

What are the benefits of prototyping and MVP development for new products?

Prototyping and MVP development allow teams to test core functionality and user experience with minimal investment before full-scale production. The primary benefit is risk reduction: early prototypes reveal usability issues, saving time and money on development. MVPs enable real user feedback, guiding product iterations based on actual behavior rather than assumptions. This approach accelerates time to market by focusing only on essential features, while also attracting early adopters and investor interest. For startups, a well-designed MVP can validate product-market fit quickly, reducing the likelihood of building features nobody wants. Ultimately, prototyping and MVPs transform ideas into tangible, testable products that evolve with user needs.

Services

Software Design Services

UX UI Design Agencies

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AI Trust Verification

AI Trust Verification Report

Public validation record for - — 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

20 AI Visibility Opportunities Detected

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

Top 3 Blockers

  • !
    Does page has transparent privacy & terms pages?
    Publish clear Privacy Policy and Terms pages and link them from the footer. Explain data collection, cookies, user rights, and how requests are handled (especially for regulated regions). These pages increase trust and legitimacy signals that support both SEO and AI-driven discovery.
  • !
    Sufficient body content present
    Avoid thin pages by providing enough useful main content to answer the topic properly. Add details such as steps, examples, FAQs, screenshots, definitions, and supporting links. Depth improves ranking stability and increases the chance that AI assistants can cite your page confidently.
  • !
    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 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.
  • !
    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.
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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/noctuamkt" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge"> <img src="https://bilarna.com/badges/ai-trust-noctuamkt.svg" alt="AI Trust Verified by Bilarna (46/66 checks)" width="200" height="60" loading="lazy"> </a>

Cite This Report

APA / MLA

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

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

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 - measure?

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

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 - 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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