The GEO Lab
(https://thegeolab.net) 📸 Data Snapshot: June 1, 2026
Identity & Authority — The Lens
Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.
Identity & Authority
Expert verifiability & Schema depth.
15
Impact Weight: 15 / 100
100% Reputation
Authority gaps are non-existent. Founder Artur Ferreira is explicitly linked to an ORCID iD (0009-0004-4072-9741) and verifiable scholarly articles on Zenodo. The schema_json across all pages includes detailed Person and Organization properties, including sameAs links to LinkedIn, GitHub, and academic profiles, providing a robust digital footprint.
The site maintains a high correlation between performance claims and demonstration. Bold claims, such as the Perplexity citation rate increases, are explicitly tied to ‘Experiment 001’ and ‘Experiment E027.’ The only minor disconnect is the ‘GEO Lab Console,’ which is described as a diagnostic tool but labeled as ‘currently in development,’ representing a claim of capability that is not yet fully testable by the user.
Identity & Authority is read from the structured data first: whether the site declares who it is in machine-readable schema, with verifiable identity links. Below is the schema captured per page, then the external proof links that support (or fail to support) that identity.
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps
Homepage schema
[
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Organization",
"@id": "https://thegeolab.net/#person",
"name": "The GEO Lab",
"logo": {
"@type": "ImageObject",
"@id": "https://thegeolab.net/#logo",
"url": "https://thegeolab.net/wp-content/uploads/geo-lab-logo-150x150.png",
"contentUrl": "https://thegeolab.net/wp-content/uploads/geo-lab-logo-150x150.png",
"caption": "The GEO Lab",
"inLanguage": "en-US"
},
"sameAs": [
"https://x.com/TheGEO_Lab",
"https://www.facebook.com/thegeolab",
"https://www.linkedin.com/company/thegeolab-net"
],
"alternateName": [
"GEO Lab",
"The GEO Lab"
]
},
{
"@type": "WebSite",
"@id": "https://thegeolab.net/#website",
"url": "https://thegeolab.net",
"name": "The GEO Lab",
"publisher": {
"@id": "https://thegeolab.net/#person"
},
"inLanguage": "en-US",
"potentialAction": {
"@type": "SearchAction",
"target": "https://thegeolab.net/?s={search_term_string}",
"query-input": "required name=search_term_string"
}
},
{
"@type": "ImageObject",
"@id": "https://thegeolab.net/wp-content/uploads/2026/03/geo-lab-homepage-og-1.jpg",
"url": "https://thegeolab.net/wp-content/uploads/2026/03/geo-lab-homepage-og-1.jpg",
"width": "1200",
"height": "630",
"inLanguage": "en-US"
},
{
"@type": "WebPage",
"@id": "https://thegeolab.net/#webpage",
"url": "https://thegeolab.net/",
"name": "The GEO Lab — Generative Engine Optimisation Research",
"datePublished": "2026-02-26T08:17:49+00:00",
"dateModified": "2026-04-18T13:31:57+00:00",
"about": {
"@id": "https://thegeolab.net/#person"
},
"isPartOf": {
"@id": "https://thegeolab.net/#website"
},
"primaryImageOfPage": {
"@id": "https://thegeolab.net/wp-content/uploads/2026/03/geo-lab-homepage-og-1.jpg"
},
"inLanguage": "en-US",
"version": "1.0"
}
]
},
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "Why has search changed?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Modern search systems retrieve sections, not just pages. They compress multiple sources into summaries and synthesise answers instead of listing links. Visibility is shifting from ranking to inclusion. If a section is not retrieved, it cannot be cited. If it cannot be parsed cleanly, it cannot be extracted. If it cannot survive compression, it disappears."
}
},
{
"@type": "Question",
"name": "What is Generative Engine Optimisation?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Generative Engine Optimisation (GEO) is the practice of designing content to maximise its probability of being retrieved, extracted, and synthesised within AI-driven search systems. Traditional SEO optimises for position. GEO optimises for participation in the answer."
}
},
{
"@type": "Question",
"name": "What is The GEO Stack?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The GEO Stack is a five-layer framework for engineering generative visibility, developed by Artur Ferreira at The GEO Lab. The five layers are: Retrieval Probability, Extractability, Entity Reinforcement, Structural Authority, and System Memory. Each layer addresses a distinct aspect of how generative search systems select, parse, and cite content."
}
},
{
"@type": "Question",
"name": "What will you find at The GEO Lab?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The GEO Lab publishes controlled experiments testing content restructuring for AI retrieval, case studies on extractability and summarisation performance, schema and structured data implementation analysis, internal linking strategies for entity density, and measurement frameworks for AI visibility tracking."
}
},
{
"@type": "Question",
"name": "What is The GEO Lab Console?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The GEO Lab Console is a diagnostic tool developed by Artur Ferreira to measure content extractability and retrieval readiness at the section level. The Console analyses pages against The GEO Stack framework and scores content across Retrieval Probability, Extractability, Entity Reinforcement, Structural Authority, and System Memory dimensions."
}
}
]
},
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://thegeolab.net/"
}
]
}
]
}
]
/about/
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"@id": "https://thegeolab.net/about/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": "1",
"item": {
"@id": "https://thegeolab.net",
"name": "Home"
}
},
{
"@type": "ListItem",
"position": "2",
"item": {
"@id": "https://thegeolab.net/about/",
"name": "About Artur Ferreira — The GEO Lab"
}
}
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},
{
"@type": "WebSite",
"@id": "https://thegeolab.net/#website",
"url": "https://thegeolab.net",
"name": "The GEO Lab",
"description": "Generative Engine Optimization research and implementation",
"publisher": {
"@id": "https://thegeolab.net/#organization"
},
"potentialAction": {
"@type": "SearchAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://thegeolab.net/?s={search_term_string}"
},
"query-input": "required name=search_term_string"
}
},
{
"@type": "Organization",
"@id": "https://thegeolab.net/#organization",
"name": "The GEO Lab",
"alternateName": "GEO Lab",
"url": "https://thegeolab.net",
"logo": {
"@type": "ImageObject",
"url": "https://thegeolab.net/wp-content/uploads/2026/02/geo-lab-logo.png",
"width": "512",
"height": "512"
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"https://www.facebook.com/thegeolab",
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"@type": "Person",
"name": "Artur Ferreira",
"url": "https://thegeolab.net/about"
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},
{
"@type": "FAQPage",
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{
"@type": "Question",
"name": "Who is Artur Ferreira?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Artur Ferreira is the founder of The GEO Lab, with over 20 years of experience in SEO and organic growth strategy. He developed the GEO Stack framework — a five-layer system for engineering content visibility in AI-driven search — and leads ongoing research into Generative Engine Optimisation methodologies. He is based in Cambridge, United Kingdom."
}
},
{
"@type": "Question",
"name": "What is The GEO Lab?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The GEO Lab is a research platform studying how content is retrieved, extracted, and synthesised by AI-driven search systems like ChatGPT, Perplexity, and Google AI Overviews. It publishes controlled experiments, practitioner frameworks, and diagnostic tools for Generative Engine Optimisation. Founded by Artur Ferreira in 2026, the platform operates on four principles: systems over tactics, evidence over hype, commercial impact over vanity metrics, and evolution over nostalgia."
}
},
{
"@type": "Question",
"name": "What experience does Artur Ferreira bring to GEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Artur Ferreira brings over 20 years of SEO practice — building organic growth systems, scaling content strategies, solving technical bottlenecks, and aligning search performance with commercial outcomes. That background provides both the pattern recognition to identify when search mechanics shift structurally, and the practical discipline to test and document what actually changes. The GEO Stack framework and the research published at The GEO Lab emerge directly from that applied experience."
}
},
{
"@type": "Question",
"name": "How can I contact Artur Ferreira?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Visit the contact form to reach Artur Ferreira directly. Response time is within 48 hours. The GEO Lab is based in Cambridge, United Kingdom. You can also connect on X/Twitter (@TheGEO_Lab) or LinkedIn."
}
}
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}
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"name": "Artur Ferreira",
"alternateName": "Artur Jorge Monteiro Carvalho Ferreira",
"givenName": "Artur",
"familyName": "Ferreira",
"jobTitle": "Founder",
"description": "SEO practitioner since 2004 with over 20 years of experience in organic search strategy. Creator of the GEO Stack framework for Generative Engine Optimisation.",
"url": "https://thegeolab.net/about/",
"image": {
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"@type": "PropertyValue",
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"https://medium.com/@arturseo"
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"worksFor": {
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"knowsAbout": [
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"@id": "https://thegeolab.net/geo-stack/#concept"
},
"Generative Engine Optimisation",
"SEO",
"AI Search",
"Content Strategy"
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"subjectOf": [
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"@id": "https://doi.org/10.5281/zenodo.20245814"
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"url": "https://thegeolab.net",
"description": "Independent research project measuring AI citation rate across generative search systems.",
"founder": {
"@id": "https://thegeolab.net/about/artur-ferreira/"
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"@id": "https://thegeolab.net/#logo"
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{
"@type": "DefinedTerm",
"@id": "https://thegeolab.net/geo-stack/#concept",
"name": "The GEO Stack",
"description": "Five-layer framework for engineering AI visibility: Retrieval Probability, Extractability, Entity Reinforcement, Structural Authority, and System Memory.",
"url": "https://thegeolab.net/geo-stack/"
},
{
"@type": "Dataset",
"@id": "https://doi.org/10.5281/zenodo.19218295",
"name": "GEO Brand Citation Index: Monthly Brand Visibility Tracking Across AI Systems",
"identifier": "10.5281/zenodo.19218295",
"description": "Monthly measurement of brand citation rates across AI-powered search systems including ChatGPT, Perplexity, and Gemini. Tracks 35+ brands across SEO, marketing, and GEO verticals using a standardised 52-query set.",
"author": {
"@id": "https://thegeolab.net/about/artur-ferreira/"
},
"creator": {
"@id": "https://thegeolab.net/about/artur-ferreira/"
},
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"@type": "Organization",
"name": "Zenodo"
},
"datePublished": "2026-05-07",
"license": "https://creativecommons.org/licenses/by/4.0/"
},
{
"@type": "ScholarlyArticle",
"@id": "https://doi.org/10.5281/zenodo.19450361",
"headline": "Domain Authority Gates Citation Eligibility: Entity Density as a Within-Domain Signal in AI Search",
"description": "Investigates whether named entity density influences citation rates in AI search systems. Finds that domain authority gates citation eligibility; entity density operates as a within-domain signal only after a domain authority threshold is met.",
"identifier": "10.5281/zenodo.19450361",
"author": {
"@id": "https://thegeolab.net/about/artur-ferreira/"
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"datePublished": "2026-04-07",
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},
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"@id": "https://doi.org/10.5281/zenodo.19869156",
"headline": "Noise Floor Measurement for AI Citation Experiments: Platform Variance, Recording Artifacts, and a Four-Test Diagnostic Protocol",
"description": "Establishes baseline citation variability for AI systems across Perplexity, ChatGPT, and Google AI Overviews. Identifies a 22.0 percentage-point interpretability threshold and a four-test diagnostic protocol for distinguishing platform noise from content-driven citation changes.",
"identifier": "10.5281/zenodo.19869156",
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"headline": "Deterministic Citation-Identity in Perplexity: A 14-Day Zero-Variance Replication of AI Citation Behaviour on Proprietary-Concept Queries",
"description": "A 14-day zero-variance replication of AI citation behaviour on proprietary-concept queries. Monitors Perplexity sonar-pro citation behaviour across fourteen consecutive days using ten queries against a single domain; finds three query-to-page bindings stable across all measurement days with zero inter-day variance.",
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/what-is-generative-engine-optimisation/
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"@type": "Question",
"name": "What is generative engine optimisation?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Generative Engine Optimisation (GEO) is the practice of engineering content to be retrieved, extracted, and cited by AI search systems such as ChatGPT, Perplexity, and Google AI Overviews. Unlike traditional SEO, which optimises pages for ranking position, GEO optimises individual content sections for participation in AI-generated answers. The optimisation unit is the section, not the page."
}
},
{
"@type": "Question",
"name": "What is the difference between GEO and SEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "SEO optimises entire pages for ranking position using backlinks and domain authority. GEO optimises individual content sections for retrieval by AI systems using extractability and entity precision. The fundamental difference is the optimisation unit: SEO targets pages; GEO targets sections. A page can rank first on Google and still not participate in a single AI-generated answer."
}
},
{
"@type": "Question",
"name": "How does generative engine optimisation work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Generative engines run content through a four-stage pipeline: query fan-out (a single user query expands into multiple sub-queries), retrieval (relevant sections are fetched), extraction (specific passages are parsed), and synthesis with citation (an answer is generated and sources are named). GEO optimises content to survive each stage. Content that fails at retrieval never reaches citation, regardless of its organic ranking position."
}
},
{
"@type": "Question",
"name": "Does GEO replace SEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "GEO does not replace SEO — it extends it. Technical health, crawlability, and domain authority remain prerequisites for AI retrieval. GEO adds section-level optimisation on top of a functioning SEO foundation. The two disciplines address different failure modes: SEO addresses document-level visibility; GEO addresses section-level participation in AI-generated answers."
}
},
{
"@type": "Question",
"name": "How do you measure generative engine optimisation performance?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Citation rate — the percentage of AI queries that cite your domain — is the primary Generative Engine Optimisation (GEO) metric. It is measured directly, not estimated. The GEO Lab measures citation rate via the Perplexity Sonar Pro API, the DataForSEO AI Overview endpoint, and direct sampling on ChatGPT and Gemini. The GEO Brand Citation Index (DOI: 10.5281/zenodo.19218295) provides a cross-platform standardised measurement framework."
}
},
{
"@type": "Question",
"name": "What is the GEO Stack?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The GEO Stack is a five-layer framework developed by The GEO Lab that identifies where content fails in the AI retrieval pipeline. The five layers are, preceded by a Layer 0 infrastructure gate: Layer 0 (Infrastructure Accessibility), Layer 1 (Retrieval Probability), Layer 2 (Extractability), Layer 3 (Entity Reinforcement), Layer 4 (Structural Authority), and Layer 5 (System Memory). Each layer is a distinct failure point with specific diagnostic signals and interventions."
}
},
{
"@type": "Question",
"name": "What is the difference between GEO and AEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "AEO (Answer Engine Optimisation) is output-focused: it asks how to get selected as the final answer. GEO is pipeline-focused: it asks how content survives retrieval, extraction, and compression before an answer is generated. AEO targets the citation stage. GEO targets all four stages of the pipeline. Content that does not survive retrieval never reaches the citation stage that AEO optimises for."
}
},
{
"@type": "Question",
"name": "Which AI platforms does GEO apply to?",
"acceptedAnswer": {
"@type": "Answer",
"text": "GEO applies to any generative AI search system that retrieves external content: Perplexity, ChatGPT with web search, Google AI Overviews, and Gemini with Google Search grounding. Citation behaviour varies significantly by platform. The GEO Lab's experiments confirm that citation patterns are not portable across platforms — content optimised for Perplexity citation does not automatically achieve citation on ChatGPT or Gemini."
}
}
]
}
]
/contact/
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🛡️ Trust Signals — external proof links that back the declared identity
26Review mentions (all pages)
1External proof links (all pages)
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 2 | 0 |
| /about/ | 3 | 0 |
| /what-is-generative-engine-optimisation/ | 5 | 0 |
| /contact/ | 1 | 1 |
| /geo-stack/ | 11 | 0 |
| /log/ | 4 | 0 |
Explore the other reputation pillars for The GEO Lab
Analysis Disclosure & Source Attribution
This page presents a snapshot of public data from The GEO Lab, captured on June 1, 2026, to show how machine logic reads Identity & Authority signals into an AI reputation evaluation.
Purpose: This data is presented under “Fair Use” for the purpose of independent signal analysis, allowing readers to see the raw signals behind the reputation score.
Notice to The GEO Lab: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results are intended as professional feedback to help improve any website’s machine-readability and authority signals. The evaluation is free, and any company can request a fresh audit at any time.
Any company can use the insights for free and improve its voice. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://thegeolab.net to view the most current version of its content and see directly what this company is about and what it offers.