Endava: Verified Review & AI Trust Profile
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Endava is a leading provider of next-generation technology services, dedicated to enabling its customers to accelerate growth, tackle complex challenges and thrive in evolving markets. By combining innovative technologies and deep industry expertise with an AI-native approach, Endava consults and pa
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View details →AI Trust Verification Report
Public validation record for Endava — Evidence of machine-readability across 57 technical checks and 4 LLM visibility validations.
Evidence & Links
- 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.
| LLM Platform | Recognition Status | Visibility Check |
|---|---|---|
 | Detected | Endava.com is well-represented in the search results with multiple pages from their official website, including their homepage, services, industries, careers, leadership, and sustainability pages. The website belongs to Endava PLC, a British public-listed software development company (NYSE: DAVA) founded in 2000, which is an established and well-known organization in the technology services industry. |
 | Detected | The URL is https://www.endava.com, confirming the brand identity and website information. |
 | Detected | Endava is a well-known IT services company, and information about it is likely present in my knowledge base. |
 | Detected | Endava.com is a well-known website of a global IT services and software development company, and it is included in my knowledge base as a established entity. |
Endava.com is well-represented in the search results with multiple pages from their official website, including their homepage, services, industries, careers, leadership, and sustainability pages. The website belongs to Endava PLC, a British public-listed software development company (NYSE: DAVA) founded in 2000, which is an established and well-known organization in the technology services industry.
The URL is https://www.endava.com, confirming the brand identity and website information.
Endava is a well-known IT services company, and information about it is likely present in my knowledge base.
Endava.com is a well-known website of a global IT services and software development company, and it is included in my knowledge base as a established entity.
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 (57 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" Endava from modern search engines and AI agents.
Top 3 Blockers
- !JSON-LD Schema: Organization, Product, FAQ, WebsiteFAQ schema missing.
- !Dedicated Pricing/Product schemaPricing/Product schema missing.
- !Breadcrumbs with structured data (BreadcrumbList)Breadcrumb schema missing.
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.
- !LLM-crawlable robots.txtMake 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.
- !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.
Claim this profile to instantly generate the code that makes your business machine-readable.
Embed Badge
VerifiedDisplay this AI Trust indicator on your website. Links back to this public verification URL.
<a href="https://bilarna.com/provider/endava" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-endava.svg"
alt="AI Trust Verified by Bilarna (43/57 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "Endava AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Jan 3, 2026. https://bilarna.com/provider/endavaWhat 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 Endava measure?
What does the AI Trust score for Endava measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference Endava. The score aggregates 57 technical checks across six categories that affect how LLMs and search systems extract and validate information.
Does ChatGPT/Gemini/Perplexity know Endava?
Does ChatGPT/Gemini/Perplexity know Endava?
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 Endava 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 Jan 3, 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.
Unlock the full AI visibility report
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