Verified
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Futureheads: Verified Review & AI Trust Profile

We are Futureheads. Your favourite digital recruiter. London's top digital recruitment agency, specialising in talent solutions across creative, digital, design, engineering, project and programme management, data and marketing. Find your next digital job today!

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
65%
Trust Score
B
49
Checks Passed
4/4
LLM Visible

Trust Score — Breakdown

80%
LLM Visibility
6/7 passed
100%
Content
2/2 passed
63%
Crawlability and Accessibility
7/10 passed
49%
Content Quality and Structure
10/16 passed
67%
Security and Trust Signals
1/2 passed
0%
Structured Data Recommendations
0/1 passed
46%
Performance and User Experience
1/2 passed
100%
Technical
1/1 passed
27%
GEO
6/8 passed
88%
Readability Analysis
15/17 passed
Verified
49/66
4/4
View verification details

Futureheads Conversations, Questions and Answers

3 questions and answers about Futureheads

Q

What is a digital recruitment agency and what do they do?

A digital recruitment agency is a specialized firm that connects businesses with professional talent for roles in the technology, creative, and digital sectors. These agencies focus on sourcing, vetting, and placing candidates in fields such as software engineering, product design, UX, data science, digital marketing, and project management. They maintain deep networks within niche communities, allowing them to identify both active and passive candidates. Their services typically include managing the entire hiring process, from initial briefing and candidate screening to interview coordination and offer negotiation. For businesses, this provides access to pre-qualified talent and reduces time-to-hire, while for candidates, it offers curated opportunities and career guidance from industry-specialist consultants.

Q

How do you choose a specialist recruitment agency for tech and digital roles?

Choosing a specialist recruitment agency for tech and digital roles requires evaluating their niche expertise, network depth, and process transparency. First, verify the agency's proven track record in your specific sector, such as data & AI, cybersecurity, or product design, as deep sector knowledge is crucial for assessing technical skills and cultural fit. Second, assess the strength of their candidate network; top agencies actively engage with professional communities through events and sponsorships, giving them access to both active job seekers and passive high-caliber talent. Third, examine their process for candidate vetting and briefing to ensure they provide detailed, honest feedback and understand your role's nuances beyond the job description. Finally, review client and candidate testimonials that highlight consistent communication, speed, and successful long-term placements.

Q

What are the key benefits of using a specialist digital recruiter?

The key benefits of using a specialist digital recruiter include access to a pre-vetted talent pool, significant time savings, and higher-quality hires that align with specific technical and cultural requirements. Specialist recruiters possess deep market intelligence in areas like UX design, software engineering, or data science, enabling them to accurately match candidate expertise with complex role demands. They streamline the hiring process by handling initial screenings, interview scheduling, and feedback collection, which reduces administrative burden and accelerates time-to-fill. Furthermore, their niche focus often grants them access to passive candidates who are not actively job searching but are open to exceptional opportunities, expanding the potential talent pool beyond public job boards. This targeted approach leads to better retention rates, as placements are based on a thorough understanding of both the company's needs and the candidate's career aspirations.

Reviews & Testimonials

“What people say about us”

A
Anonymous

Trusted By

B CorpB CorpKey client
Corner ArrowCorner ArrowKey client
SyncDSyncDKey client
Futureheads Five Stories: Robert HicksFutureheads Five Stories: Robert Hicks
Futureheads Five Stories: Sam CohenFutureheads Five Stories: Sam Cohen
LocationLocation
SearchSearch

Services

AI and Data Integration Services

AI and Data Integration Services

View details →
Pricing
custom
Customers
1,800
AI Trust Verification

AI Trust Verification Report

Public validation record for Futureheads — Evidence of machine-readability across 66 technical checks and 4 LLM visibility validations.

Evidence & Links

Scan Facts
Last Scan:Apr 23, 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
Detected

Detected

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

17 AI Visibility Opportunities Detected

These technical gaps effectively "hide" Futureheads 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.
  • !
    Dedicated "About Us" page?
    Publish a dedicated About Us page that clearly explains who you are, what you do, where you operate, and why you are credible. Include leadership/team info, company history, certifications, awards, press mentions, and contact details. This strengthens trust signals and helps AI systems understand your brand as a real, verifiable entity.
  • !
    Structured data schema present
    Implement 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.

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 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.
  • !
    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.
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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/wearefutureheads" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge"> <img src="https://bilarna.com/badges/ai-trust-wearefutureheads.svg" alt="AI Trust Verified by Bilarna (49/66 checks)" width="200" height="60" loading="lazy"> </a>

Cite This Report

APA / MLA

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

Bilarna. "Futureheads AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 23, 2026. https://bilarna.com/provider/wearefutureheads

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 Futureheads measure?

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

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 Futureheads for relevant queries.

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?

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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