AI-powered evaluation using the Model Context Optimization BS Detection Framework, based solely on publicly available website content.
Based on 1856 businesses audited.
Found has 11.1 points less BS than the average for Marketing, SEO & Advertising Agencies.
Marketing, SEO & Advertising Agencies BS: Found (www.found.co.uk)
Found is a high-substance agency that successfully leverages current AI trends to repackage standard search services into a proprietary narrative. While it employs significant industry jargon, the forensic evidence of named clients and specific ROI metrics places it in the top tier of agency credibility. It is a ‘Signal-heavy’ site with minor ‘Trust Theatre’ and authority implementation gaps.
Replace teaser-style H2 headings like ‘Everything you knew about’ with descriptive, keyword-rich summaries of the section’s substance. Implement Person schema for all named experts (e.g., Will Harman) including sameAs links to their LinkedIn profiles or published industry contributions. Include direct outbound links to third-party review platforms next to the stated review counts to eliminate Trust Theatre flags. Provide specific pricing or engagement model ranges on the PPC and Creative pages, similar to the tiered model disclosed in the SEO FAQ section.
The site maintains a relatively high substance-to-fluff ratio by anchoring generic claims with specific client outcomes. While headings like ‘Everything you knew about’ or ‘We’re pretty proud of’ are pure filler, the body text frequently cites specific percentages such as a 292% visibility increase for AllClear and a 90% increase in bookings for The Hoxton. However, the proprietary Everysearch framework and Luminr tool are described using high-frequency power words like ‘AI-first’ and ‘intelligent travel assistants’ without explaining the underlying technical delta from standard API-led tools.
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Found exhibits high semantic coherence; the homepage promise of an AI-first agency is systematically expanded on service-specific sub-pages. The SEO page defines AI use through ‘Entity Optimisation’ and ‘LLM Tracking,’ while the PPC page references ‘FoundLabs’ for workflow automation. There is no significant drift between the high-level positioning and the technical deliverables described on the internal pages.
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The site displays multiple award badges and certifications, including Google Premier Partner 2026 and UK Digital Excellence Awards 2026, which are highly credible given the May 2026 analysis date. While review counts are mentioned (e.g., 41 reviews on the SEO page), there is a lack of direct outbound links to third-party verification platforms like Clutch or Trustpilot in the provided data. The ‘Recommended Agency’ status from The Drum provides some third-party validation, but the path to independent verification is slightly obscured.
Verifiable evidence is dense, with at least 8+ instances of named clients associated with specific, dated results across the 6 analyzed pages. The ratio of vague assertions to hard numbers is favorable, particularly on the sector-specific pages where the agency claims to ‘take back control’ from OTAs and supports it with Hoxton and Newmarket Holidays data.
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Found uses several industry cliches like ‘extension of your team’ and ‘data-driven strategies,’ but offsets the commodity feel with proprietary terminology like Everysearch. The value proposition is differentiated by focusing on ‘Brand Optimisation’ for the age of AI and zero-click environments, which is more specific than the standard ‘we grow businesses’ trope. Template fingerprints are present in the FAQ and ‘More Services’ blocks, yet the content within them is tailored rather than boilerplate.
The agency identifies several experts by name, including Brad Verlander, Will Harman, and Tom Choi, which boosts authority. However, there is a technical gap in the structured data where Person schema and sameAs links for these individuals are missing, making their professional footprints harder to verify via search. The Organization schema is well-implemented with appropriate social media sameAs links, grounding the entity’s digital identity.
The disconnect is minimal due to the presence of named case studies with before-and-after metrics. Unlike agencies that hide behind ‘Client A’ or ‘A large retailer,’ Found explicitly names brands like Toolstation and Secret Sales. The bold claims of ‘swift and impactful actions’ are immediately followed by YOY uplift percentages, reducing the marketing-to-reality gap.
Marketing, SEO & Advertising Agencies BS: Found (www.found.co.uk)
The content strictly aligns with the Marketing, SEO & Advertising Agencies category, focusing heavily on search performance, paid media, and creative production. The presence of sector-specific pages for Travel and Hospitality confirms a deep industry-specific structural intent.
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“The score of 34 is primarily driven by Information Density (12) due to high concept repetition of 'Everysearch' and the use of 'teaser' headings. Trust and Proof (6) contributed points due to the lack of verified external links for the displayed review counts. Commodity Fingerprint (7) reflects the use of standard agency value-prop cliches, though these are partially neutralized by specific sector expertise.”
Analysis Disclosure & Source Attribution
Snapshot Date: May 16, 2026
Purpose: This data is presented under “Fair Use” / “Educational Exception” for the purpose of forensic semantic analysis, allowing users to see how machine logic interprets digital signals.
Machine Perception Notice: This evaluation is generated by machine-read logic (MRL). The AI interprets the “Digital Ghost” of a website (code, metadata, and semantic structures), which may differ from what a human sees at the same moment. This is an automated technical diagnostic and not a statement of fact or human opinion regarding the real-world integrity or legitimacy of the business. Any missing or inaccessible elements in the snapshot are treated as machine-read signals, reflecting AI rendering limitations rather than intentional omission.
Notice to the Evaluated Business: This analysis is part of a non-adversarial audit. The results are intended as professional feedback to help improve machine-readability and authority signals. Any company can use these insights for free. When content is updated, a fresh audit can be requested at any time to reflect the current state.
To All Users: You are encouraged to visit the live site at Found to view the most current version of their content and see directly what the company offers.