Verified
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Run DMG Ltd: Verified Review & AI Trust Profile

At Run DMG we specialise in consulting for businesses and agencies worldwide on Facebook Advertising. Click here to start running!

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
71%
Trust Score
B
56
Checks Passed
3/4
LLM Visible

Trust Score — Breakdown

65%
LLM Visibility
5/7 passed
29%
Content
1/2 passed
86%
Crawlability and Accessibility
9/10 passed
56%
Content Quality and Structure
12/16 passed
100%
Security and Trust Signals
2/2 passed
100%
Structured Data Recommendations
1/1 passed
100%
Performance and User Experience
2/2 passed
100%
Technical
1/1 passed
64%
GEO
7/8 passed
94%
Readability Analysis
16/17 passed
Verified
56/66
3/4
View verification details

Run DMG Ltd Conversations, Questions and Answers

3 questions and answers about Run DMG Ltd

Q

What does a Facebook advertising agency do for eCommerce brands?

A Facebook advertising agency helps eCommerce brands plan, create, manage, and optimize ad campaigns on Facebook and Instagram to drive sales and revenue. The agency typically starts with a consultation to understand business goals, target audience, and budget. Then it develops a custom strategy, sets up ad accounts, designs creatives, and launches campaigns. Ongoing management includes monitoring performance metrics like return on ad spend (ROAS), cost per acquisition (CPA), and click-through rates (CTR). Agencies also perform A/B testing, audience segmentation, and retargeting to improve results. For eCommerce, key tactics include dynamic product ads, lookalike audiences, and conversion tracking via pixels. Many agencies offer flexible pricing models such as monthly retainers, project-based fees, or hourly rates. Some agencies specialize further by focusing on specific platforms or industries, like Facebook-only agencies for eCommerce. The goal is to maximize ad efficiency and scalability while freeing the brand’s internal team from day-to-day ad management. A reputable agency should provide transparent reporting and regular communication to adapt strategies based on data.

Q

How much does Facebook advertising management cost per month?

Facebook advertising management costs typically range from £2,500 to £10,000 per month for professional agency services, though prices vary based on scope, ad spend, and expertise. Many agencies charge a flat monthly retainer that covers strategy, campaign setup, ongoing optimization, reporting, and sometimes creative development. For example, a standard ads management package often starts around £2,500 per month for eCommerce brands with moderate ad budgets. Premium agencies with specialized expertise, such as Facebook Marketing Partners, may charge higher retainers reflecting their accreditation and track record. Some agencies offer a percentage-based model, taking 10–20% of total ad spend as a management fee. Consulting services are usually billed hourly, with rates from £150 to £500 per hour. Project-based fees for strategy or audits can range from £1,000 to £5,000. It's important to request a detailed proposal that outlines exactly what is included, such as number of campaigns, ad accounts managed, and reporting frequency. The right investment depends on the brand's revenue goals, existing ad performance, and the agency's ability to scale results.

Q

What is a Facebook Marketing Partner and why should you hire one?

A Facebook Marketing Partner is an agency or consultant that has been officially accredited by Meta (Facebook) after meeting rigorous standards for expertise, performance, and client satisfaction. Hiring a Facebook Marketing Partner provides several advantages. First, these partners have proven experience managing significant ad budgets and achieving measurable results, often with access to beta features and advanced tools not available to non-accredited agencies. Second, they undergo continuous training and audits, ensuring they stay current with Facebook’s algorithm updates, policy changes, and best practices. Third, they offer specialized knowledge in areas like eCommerce, lead generation, or brand building, which translates into more effective campaigns. For businesses, working with a Marketing Partner reduces the risk of ad account restrictions or policy violations, as partners have direct lines of communication with Meta support. Additionally, their track record is vetted by Facebook itself, providing a level of trust and accountability. While not every business needs a Facebook Marketing Partner, those with significant ad spend or complex campaign requirements often see higher ROI by leveraging the partner’s deep platform expertise and strategic insights.

Services

Digital Marketing Agencies

Facebook Advertising Services

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Pricing
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AI Trust Verification

AI Trust Verification Report

Public validation record for Run DMG Ltd — 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
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.

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

10 AI Visibility Opportunities Detected

These technical gaps effectively "hide" Run DMG Ltd from modern search engines and AI agents.

Top 3 Blockers

  • !
    JSON-LD Schema: Organization, Product, FAQ, Website
    Add 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.
  • !
    Dedicated Pricing/Product schema
    Use Product and Offer schema (or a pricing page with structured data) to describe plans, prices, currency, availability, and key features. This reduces ambiguity for both search engines and AI assistants and can unlock richer search snippets. Keep pricing up to date and match schema values to the visible pricing table.
  • !
    Breadcrumbs with structured data (BreadcrumbList)
    Add visible breadcrumbs for users and BreadcrumbList structured data for crawlers. Breadcrumbs clarify site hierarchy (category > subcategory > page) and help systems understand topical relationships. This can improve search snippets and makes it easier for AI to choose the right page as a source.

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 Grok
    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.
  • !
    Heading Structure
    Ensure 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

Verified

Display this AI Trust indicator on your website. Links back to this public verification URL.

<a href="https://bilarna.com/provider/run-dmg" target="_blank" rel="nofollow noopener noreferrer" class="bilarna-trust-badge"> <img src="https://bilarna.com/badges/ai-trust-run-dmg.svg" alt="AI Trust Verified by Bilarna (56/66 checks)" width="200" height="60" loading="lazy"> </a>

Cite This Report

APA / MLA

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

Bilarna. "Run DMG Ltd AI Trust & LLM Visibility Report." Bilarna AI Trust Index, Apr 23, 2026. https://bilarna.com/provider/run-dmg

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 Run DMG Ltd measure?

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

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 Run DMG Ltd 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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