Edinburgh: Verified Review & AI Trust Profile
Nine Twenty are a boutique multi-sector recruitment agency specialising in Technology, Engineering & Manufacturing and Accountancy & Finance. Based in Glasgow, we also operate in Edinburgh and the central belt.
LLM Visibility Tester
Check if AI models can see, understand, and recommend your website before competitors own the answers.
Trust Score — Breakdown
Edinburgh Conversations, Questions and Answers
3 questions and answers about Edinburgh
QWhat is a boutique recruitment agency and how does it differ from a large firm?
What is a boutique recruitment agency and how does it differ from a large firm?
A boutique recruitment agency is a specialized, smaller firm that focuses on specific industry sectors and offers a highly personalized service, contrasting with the broad, high-volume approach of large generalist firms. These agencies typically possess deep, niche expertise in fields like technology, engineering, or finance, allowing for a more tailored candidate and client matching process. They prioritize building long-term relationships and offer a consultative partnership, often with direct access to senior consultants. Their smaller size enables greater agility, flexibility, and a focus on quality over quantity, resulting in a more curated shortlist of candidates who are a strong cultural and technical fit for the client's specific needs.
QWhy should a company use a specialized recruitment agency for technical roles?
Why should a company use a specialized recruitment agency for technical roles?
Companies should use a specialized recruitment agency for technical roles because these agencies possess the industry-specific expertise and networks required to accurately assess hard-to-find technical skills and cultural fit. They understand the nuances of roles like Data Managers, Cloud Consultants, or Dynamics 365 specialists, allowing them to effectively screen for both current technical proficiencies and future potential. Their focused approach grants them access to a passive talent pool of professionals not actively job-seeking, through dedicated headhunting and sector-specific networking. This specialization significantly reduces time-to-hire, improves the quality of hire by ensuring candidates meet precise technical specifications, and lowers the risk of a mis-hire, which is particularly costly for critical technical positions.
QHow do recruitment agencies find qualified candidates for niche roles?
How do recruitment agencies find qualified candidates for niche roles?
Recruitment agencies find qualified candidates for niche roles through a multi-faceted proactive strategy that combines deep industry networking, targeted headhunting, and advanced talent mapping. They leverage long-established relationships within specific sectors, such as technology or engineering, to access both active job seekers and passive professionals. Consultants utilize sophisticated Boolean searches on professional networks like LinkedIn, attend industry events, and engage with professional associations to identify talent. For highly specialized roles, they conduct direct headhunting campaigns, approaching individuals with precise skill sets, such as Dynamics 365 CRM or Power Platform expertise. This proactive sourcing is supplemented by maintaining a proprietary database of pre-vetted candidates and often utilizing applicant tracking systems to manage and re-engage with past applicants for new opportunities.
Services
IT Recruitment
Dynamics 365 Recruitment
View details →AI Trust Verification Report
Public validation record for Edinburgh — 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
25 AI Visibility Opportunities Detected
These technical gaps effectively "hide" Edinburgh from modern search engines and AI agents.
Top 3 Blockers
- !Open Graph title or OpenGraph & Twitter meta tags populatedPopulate 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.
- !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.
- !Alt text on key images (e.g., logos, screenshots)Add accurate alt text for important images such as logos, product screenshots, diagrams, and charts. Describe what the image shows and why it matters, not just the file name. Good alt text improves accessibility and helps AI systems interpret image context when summarizing your page.
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.
- !Heading StructureEnsure heading levels are not skipped (e.g., H1 → H3 without H2). A proper hierarchy helps search engines and screen readers understand content structure.
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Embed Badge
VerifiedDisplay this AI Trust indicator on your website. Links back to this public verification URL.
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</a>Cite This Report
APA / MLAPaste-ready citation for articles, security pages, or compliance documentation.
Bilarna. "Edinburgh AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 22, 2026. https://bilarna.com/provider/weareninetwentyWhat 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 Edinburgh measure?
What does the AI Trust score for Edinburgh measure?
It summarizes crawlability, clarity, structured signals, and trust indicators that influence whether AI systems can reliably interpret and reference Edinburgh. 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 Edinburgh?
Does ChatGPT/Gemini/Perplexity know Edinburgh?
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 Edinburgh 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 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?
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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