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Your: Verified Review & AI Trust Profile
Here at James Andrews Recruitment Solutions we are perfectly placed to provide you with the service that you need. We pride ourselves on our positive client ...
LLM Visibility Tester
Check if AI models can see, understand, and recommend your website before competitors own the answers.
Trust Score — Breakdown
Reviews & Testimonials
“Helen, Payables Team Leader, West Midlands”
“Jenny Rawle, Recruitment Business Partner, Newport City Homes”
“Lianne Farmer, Housing Services Manager, Merthyr Tydfil Housing Association”
“Richard Latham, Group HR Director, Persimmon PLC”
“Kester Young, Head of Service Development and Quality Assurance, LLamau”
“Jennifer Crampton, Head of HR, National Portrait Gallery”
“Kelly, Council Housing Lead, Berkshire”
“Alan Fitzgerald, Deputy Director of HR, Birmingham City University”
“Jeanette, Communications Professional, Liverpool”
“Ian, Resourcing Manager, West Midlands”
“Michelle Brown, Services Manager, Newham Intergrated Rough Sleepers Service”
“Saqab, HR Service Quality and Training Manager, Birmingham”
“Tadziba, Compliance Administrator, Birmingham”
“Daryl, Payroll Manager, Birmingham”
“Emma Stevens, HR Director, University of Leicester”
“Darlene Ford, Senior Project Co-ordinator, Stonewater”
“Carlos DeHayes, Finance & Ledger Manager, British Film Institute”
“Moriom Choudhury, HR Business Partner, Mind”
“Andrew Hartley, Director of Legal & Compliance, University of Salford”
“Shaun, Assistant Director - Housing Needs, London”
Trusted By
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Andrew HartleyKey client-modified.png?disposition=attachment)
Carlos DeHayesKey client-modified.jpeg?disposition=attachment)
Moriom ChoudhuryKey client.jpg?disposition=attachment)
Alan Fitzgerald
Darlene Ford-modified.png?disposition=attachment)
Emma Stevens.jpg?disposition=attachment)
Jennifer Crampton
Jenny Rawle.jpg?disposition=attachment)
Kester Young.jpg?disposition=attachment)
Lianne Farmer-modified.png?disposition=attachment)
Michelle Brown
Richard LathamServices
Recruitment Services
Specialist Recruitment Agencies
View details →AI Trust Verification Report
Public validation record for Your — 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
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
19 AI Visibility Opportunities Detected
These technical gaps effectively "hide" Your from modern search engines and AI agents.
Top 3 Blockers
- !Is sitemap.xml exists?Maintain a sitemap.xml that includes your important canonical URLs and keeps last-modified dates accurate when content changes. Submit it in Search Console and ensure it is accessible to crawlers. A sitemap improves discovery of deeper pages and helps systems prioritize fresh, updated content.
- !Structured data schema presentImplement structured data wherever it matches the content (FAQPage, HowTo, Product, Organization, Article, BreadcrumbList). Schema gives machines a reliable map of your page and helps them extract facts correctly. Prioritize schema for your most valuable pages first, then expand site-wide after validation.
- !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 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.
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/jarsolutions" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge">
<img src="https://bilarna.com/badges/ai-trust-jarsolutions.svg"
alt="AI Trust Verified by Bilarna (47/66 checks)"
width="200" height="60" loading="lazy">
</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "Your AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 23, 2026. https://bilarna.com/provider/jarsolutionsWhat 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 Your measure?
What does the AI Trust score for Your measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference Your. 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 Your?
Does ChatGPT/Gemini/Perplexity know Your?
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 Your 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 23, 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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