DigitalHappy: Verified Review & AI Trust Profile
We are a Barcelona web design agency. We are experts in responsive web design, web development and analysis, and deliver great results for your business.
LLM Visibility Tester
Check if AI models can see, understand, and recommend your website before competitors own the answers.
Trust Score — Breakdown
DigitalHappy Conversations, Questions and Answers
1 questions and answers about DigitalHappy
QHow do I choose a responsive web design agency?
How do I choose a responsive web design agency?
To choose a responsive web design agency, you should evaluate their expertise, process, and client results. First, examine their portfolio to assess the quality and diversity of their responsive projects across different industries. Second, confirm their development process includes thorough analysis, user experience design, and post-launch support, which indicates a strategic partnership. Third, review client testimonials to gauge their reliability, communication skills, and ability to meet tight deadlines, as effective collaboration is key. An agency's demonstrated understanding of your business goals, their creative problem-solving approach, and their meticulous attention to detail are strong indicators of a suitable partner. The right agency will combine technical skill with professional project management to deliver a website that drives tangible business value.
Reviews & Testimonials
“Sheena Campbell-Royle SCRMedia View project page”
“Sheena Campbell-Royle”
“I gave DigitalHappy a very difficult job — take over a current project and turn it around in one week. Of course they took the challenge and of course they came up trumps. They are so easy to work with and I would recommend them to everyone.”
“Carrie Frais Lucas Fox Prime View project page”
“Lucas Fox Prime”
“Once again another supreme effort from DigitalHappy! They are knowledgeable and efficient and add value by offering suggestions and creative ideas throughout the process. We have been very impressed with the quality of their work, customer care and meticulous attention to detail. We are extremely proud of the result and will refer DigitalHappy to any business looking for quality web design and development partners.”
“Justine Bancroft PT Projects View project page”
“Justine Bancroft”
“We had regular meetings (phone and skype) and were kept in the loop of developments from the brief to completion and delivery. A creative and professional company, we would not hesitate to use DigitalHappy again and recommend to others.”
“Anna Phillips Centre for Global Higher Education View project page”
“Centre for Global Higher Education”
“DigitalHappy provided an exceptional level of expertise, professionalism and customer service. Simon really understood what we wanted our website to achieve and his creativity, problem-solving skills and attention to detail made him a pleasure to work with. He has extensive knowledge of how to create a seamless user experience as well as superb design skills. The website has been instrumental to our centre’s success and I can’t recommend DigitalHappy enough.”
Trusted By
Carrie FraisKey client
Justine BancroftKey client
Sheena Campbell-RoyleKey client
Anna PhillipsAI Trust Verification Report
Public validation record for DigitalHappy — Evidence of machine-readability across 55 technical checks and 4 LLM visibility validations.
Evidence & Links
- Crawlability & Accessibility
- Structured Data & Entities
- Content Quality Signals
- Security & Trust Indicators
Verifiable Identity Links
Legal & Compliance
- Privacy Policy
Third-party Identity
- X (Twitter)
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 |
|---|---|---|
 | Partial | Improve Perplexity visibility by ensuring your brand/entity information is consistent across the web and easy to verify on your site. Use Organization schema, clear About/Contact pages, and cite credible sources where relevant. Monitor how your brand appears in AI answers and strengthen weak pages with clearer facts and structure. |
 | Detected | Detected |
 | 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. |
 | 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. |
Improve Perplexity visibility by ensuring your brand/entity information is consistent across the web and easy to verify on your site. Use Organization schema, clear About/Contact pages, and cite credible sources where relevant. Monitor how your brand appears in AI answers and strengthen weak pages with clearer facts and structure.
Detected
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.
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 (55 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
16 AI Visibility Opportunities Detected
These technical gaps effectively "hide" DigitalHappy from modern search engines and AI agents.
Top 3 Blockers
- !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.
- !LLM-crawlable llms.txtCreate 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.
- !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.
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 GeminiImprove 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 PerplexityImprove Perplexity visibility by ensuring your brand/entity information is consistent across the web and easy to verify on your site. Use Organization schema, clear About/Contact pages, and cite credible sources where relevant. Monitor how your brand appears in AI answers and strengthen weak pages with clearer facts and 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/digitalhappy" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-digitalhappy.svg"
alt="AI Trust Verified by Bilarna (39/55 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "DigitalHappy AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Mar 25, 2026. https://bilarna.com/provider/digitalhappyWhat 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 DigitalHappy measure?
What does the AI Trust score for DigitalHappy measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference DigitalHappy. The score aggregates 55 technical checks across six categories that affect how LLMs and search systems extract and validate information.
Does ChatGPT/Gemini/Perplexity know DigitalHappy?
Does ChatGPT/Gemini/Perplexity know DigitalHappy?
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 DigitalHappy 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 Mar 25, 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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