Research Disclaimer
Understanding the scope, evidential limitations, methodological responsibilities and appropriate use of CGO Media research, observations, statistics, frameworks and publications relating to SEO, GEO, artificial intelligence and digital discovery.
Executive Summary
CGO Media conducts and publishes research examining search behaviour, search engine optimisation, generative engine optimisation, artificial intelligence search, digital discovery, organisational visibility and related developments in information retrieval and online authority.
This Research Disclaimer explains how readers should interpret CGO Media publications, the limitations that may affect research findings, the distinction between different forms of evidence and the responsibilities associated with citing, applying or reproducing published material.
CGO Media's research programme includes original investigations, research observations, statistical compilations, conceptual frameworks, analytical models, sector-specific studies and research-informed professional commentary. These publications do not necessarily employ identical methodologies or support the same degree of inference.
A research observation should not automatically be interpreted as a representative statistic. A conceptual framework should not be mistaken for a validated account of a proprietary AI system. A forecast should not be treated as a guaranteed outcome. A citation or recommendation observed in an AI-generated answer does not independently establish the internal mechanism responsible for that result.
Research is intended to support informed evaluation, discussion and professional decision-making. It does not guarantee search rankings, AI citations, traffic, conversions, revenue or other commercial outcomes. Nor does it replace specialist advice in legal, financial, regulatory, medical or other regulated matters.
CGO Media also provides commercial SEO, GEO and AI visibility services. This relationship makes clear separation between research findings, conceptual interpretations and commercial recommendations particularly important. Material conflicts, sponsorship arrangements and research limitations should be disclosed where relevant.
This disclaimer should be read alongside the Research Methodology, Research Architecture, Ethics & Integrity and the individual methodology and governance documents referenced throughout this page.
The standards described here provide a framework for responsible interpretation and publication. They should not be read as a representation that every historical publication has undergone an identical research, review or validation process.
Core Principles for Interpreting CGO Media Research
Evidence Before Assertion
Published conclusions should be interpreted in relation to the observations, sources and methods supporting them.
Limitations Are Material
Sampling, measurement, access restrictions and research periods may limit the applicability of findings.
Observation Is Not Causation
Visible associations and platform outputs do not independently establish hidden ranking or recommendation mechanisms.
Models Require Qualification
Conceptual frameworks organise ideas and evidence but are not automatically empirically validated.
Research and Commerce Are Distinct
Research evidence should be distinguishable from service recommendations and promotional claims.
Research Remains Open to Revision
Material errors, new evidence and changes in technology may require corrections or updated interpretations.
1. Purpose, Scope and Classification of CGO Media Research
1.1 Purpose of the Research Programme
CGO Media publishes research to contribute to understanding how organisations, information sources, products, services and expertise are discovered, evaluated, cited and recommended through conventional search engines and emerging AI-mediated discovery systems.
The programme examines technical infrastructure, content quality, entity representation, source accessibility, authority signals, user behaviour, platform outputs and other subjects relevant to search visibility.
Its purpose is to provide structured analysis and evidence-informed interpretations rather than to assert comprehensive knowledge of every proprietary mechanism operating within search platforms.
1.2 Original Research and Empirical Investigations
Original research may involve the collection or analysis of observations, measurements, experimental outputs or other evidence assembled for a defined research question.
The conclusions supported by such research depend on its design. An observational investigation may identify patterns without establishing causality. An experiment may support stronger conclusions under appropriate conditions, but those conclusions remain subject to the study's scope and assumptions.
Readers should examine the research question, population, collection method, analytical procedures and stated limitations before generalising a finding.
The Research Scope & Questions methodology document provides further guidance on defining research boundaries.
1.3 Research Observations
Research observations document phenomena identified under particular collection conditions. They may describe recurring patterns, differences between outputs or emerging relationships worthy of further investigation.
Such observations should not automatically be interpreted as representative population statistics, verified causal mechanisms or universal platform behaviour.
Where an observation suggests a potential explanation, that explanation remains a hypothesis unless supported by an appropriate evaluation.
Related publications are available in the Research Observations Library.
1.4 Statistical Publications
Statistical publications may contain original calculations, published datasets, industry surveys, third-party estimates or structured summaries of existing evidence.
The origin of a statistic matters. Figures derived from external organisations should not be treated as original CGO Media measurements unless that attribution is accurate.
Differences in definitions, sampling periods, populations and collection methods may prevent direct comparison between figures that appear superficially similar.
Statistical publications should therefore be assessed in relation to their underlying sources and methodological qualifications.
1.5 Conceptual Frameworks and Research Models
CGO Media develops conceptual frameworks, authority models, maturity models, analytical structures and methodological systems intended to organise complex research subjects.
These publications may propose relationships, categories, stages or evaluation criteria. Their publication does not independently establish that the proposed relationships have been empirically validated.
Frameworks should not be interpreted as exact representations of undisclosed search algorithms or generative AI architectures unless suitable evidence is available.
Further guidance appears in Research Frameworks & Models and the Framework Library.
1.6 Sector Research and Professional Analysis
Industry-specific research examines questions relevant to particular commercial, organisational or regulatory environments.
Findings developed for one sector may not apply unchanged to another. Search intent, information sensitivity, regulatory requirements, buying processes and market structures can materially affect interpretation.
Professional analysis may also draw on published research to discuss strategic implications. Such commentary should be distinguished from original empirical findings.
The Sector Research collection provides access to industry-specific publications.
2. Research Evidence, Statistical Reliability and Methodological Limitations
2.1 No Research Is Without Limitations
Research findings are shaped by the evidence available, the questions investigated and the methods used to collect and interpret information.
Limitations may arise from sampling coverage, incomplete datasets, measurement validity, selection bias, research duration, geographic restrictions, language differences, platform access or analytical assumptions.
The existence of limitations does not necessarily make a study unreliable. However, it restricts the conclusions that can reasonably be drawn.
Material limitations should be considered when research is used in academic discussion, commercial planning, professional recommendations or public reporting.
2.2 Sampling and Representativeness
Research examining selected websites, search queries, AI prompts, organisations or industries may not represent the wider population from which those examples were drawn.
Findings based on purposive or convenience samples may be useful for exploratory analysis but should not automatically be treated as statistically representative.
A study limited to English-language queries in the United Kingdom, for example, does not independently establish how AI search systems behave in every language or country.
2.3 Data Quality and Source Provenance
CGO Media research may use first-party observations, external datasets, public documentation, industry reports and academic literature.
Evidence quality depends partly on whether the source is relevant, identifiable, appropriately measured and suitable for the research question.
Third-party material may contain errors, outdated figures, methodological gaps or reporting limitations. Citation of a source does not guarantee its accuracy.
Readers should consult Research Data & Evidence Standards for the principles governing evidence selection, provenance and verification.
2.4 Quantitative Estimates and Uncertainty
Statistics should be interpreted in relation to their denominators, definitions, collection periods and uncertainty.
Percentages may be misleading when the underlying population is small, unrepresentative or poorly defined. Combining estimates from incompatible sources may create an appearance of precision unsupported by the evidence.
Where appropriate, statistical analysis should account for sampling variability, measurement error and the assumptions required for inference.
A numerical result should not be presented with greater certainty than its underlying data and methods justify.
2.5 Correlation and Causation
Observed relationships between content characteristics, brand signals, technical accessibility, citations or search visibility do not automatically establish causation.
Unmeasured factors may contribute to the relationship. Search platforms may also use mechanisms that cannot be directly inspected.
Claims about causal effects require suitable research designs, appropriate controls and consideration of alternative explanations.
The Research Analysis Methods document explains these interpretive distinctions.
2.6 Missing Information and Evidence Gaps
Some relevant information may be unavailable because of technical restrictions, proprietary systems, privacy obligations, licensing conditions or incomplete historical records.
Missing evidence should not be treated as proof that a phenomenon does not exist.
Where evidence gaps materially affect a conclusion, readers should interpret that conclusion as provisional or limited to the available observations.
2.7 Limitations and Transparency
CGO Media's Research Limitations & Transparency methodology document provides a more detailed explanation of sampling, uncertainty, disclosure, reproducibility and responsible reporting.
This disclaimer establishes the general principle: findings should be interpreted within their evidential boundaries, and those boundaries should not be concealed by overly broad conclusions.
3. Search Engines, Generative AI and Changing Technical Environments
3.1 Proprietary Systems and Limited Observability
Search engines, generative AI services, answer engines and recommendation platforms operate through complex technical systems whose internal components are not necessarily available for independent inspection.
Public documentation, technical testing and visible outputs may provide evidence about observable behaviour. They do not necessarily reveal every internal retrieval, ranking, source-selection or generation process.
CGO Media research should therefore be interpreted as an examination of available evidence rather than a claim to unrestricted access to proprietary systems.
3.2 Platform Updates and Research Validity
AI models, ranking systems, search interfaces, retrieval infrastructure, citation formats and commercial features may change after a study has been conducted.
Consequently, findings that accurately describe an observation period may not remain applicable indefinitely.
Readers should consider the publication date, research collection period and relevant platform conditions before treating historical findings as descriptions of current behaviour.
3.3 Variability in AI-Generated Answers
Generative AI responses may differ according to prompts, model versions, user context, geographic location, language, retrieval conditions and time.
A single generated answer is an observation, not necessarily a reliable estimate of how frequently the same answer will appear.
Repeated testing may help describe variability but does not guarantee identical future outputs.
3.4 Citations, Mentions and Recommendations
AI-generated citations, brand mentions and provider recommendations represent different observable outcomes.
A source may be cited without its publisher being recommended. A company may be mentioned without receiving a commercial endorsement. A provider may be recommended without a visible citation.
These distinctions are important when evaluating AI search visibility and authority.
Research should not treat the presence of a citation as proof of endorsement, trustworthiness, ranking influence or commercial conversion.
3.5 Source Selection and Hidden Mechanisms
Observations of cited sources may support hypotheses about source selection, accessibility, topical relevance or entity representation.
However, they do not independently prove the exact internal weighting or decision process used by a proprietary model.
Conceptual explanations of source selection should be distinguished from empirically verified mechanisms.
3.6 Geographic and Sector Differences
Search and AI discovery behaviour may differ between industries, countries, languages and audience segments.
Regulated sectors may also impose different requirements for evidence, trust, privacy, accuracy and professional responsibility.
Research conclusions should not be transferred between materially different environments without appropriate qualification.
3.7 AI-Assisted Research Workflows
Artificial intelligence tools may assist with information organisation, data processing, coding, drafting, comparison and other research activities.
Such tools can also produce inaccurate summaries, invented citations, faulty calculations or unsupported explanations.
AI-generated content should not be regarded as independently verified evidence merely because it was produced by an advanced system.
Responsibility for reviewing published material remains with the named author, research team or responsible publisher, as applicable.
Important distinction: Observing what an AI search platform produces is not equivalent to establishing how its proprietary internal systems generated that output.
4. Research Frameworks, Forecasts and Commercial Performance
4.1 The Purpose of Conceptual Frameworks
CGO Media frameworks are intended to organise research concepts, identify relevant analytical dimensions and support structured evaluation of search and AI discovery environments.
They may assist with research design, technical assessment, strategic planning and professional interpretation.
However, a conceptual framework is not automatically a scientific theory, a validated predictive model or a description of a platform's actual internal architecture.
4.2 Validation and Evidence
Publication of a framework, assignment of a DOI or inclusion in a repository does not independently establish empirical validation or peer review.
Validation requires evidence and methods appropriate to the framework's claims.
Where a framework has not undergone relevant empirical testing, it should be interpreted as a conceptual or analytical structure rather than a proven causal explanation.
4.3 Maturity Models and Assessment Systems
Maturity models may classify organisational practices, capabilities or processes into defined levels.
Such classifications can support consistent assessment, but they should not automatically be treated as evidence that a higher category guarantees superior rankings, AI visibility or business performance.
Assessment criteria, assumptions and intended use should be considered before applying a maturity model.
4.4 Forecasts and Future Search Scenarios
Some CGO Media publications examine possible future developments in search behaviour, AI adoption, platform architecture, user interaction or commercial discovery.
These statements represent forecasts, scenarios or informed interpretations rather than guarantees.
Technological developments, regulatory decisions, economic conditions, competitive changes and user behaviour may produce outcomes materially different from those anticipated.
4.5 No Guarantee of Search Performance
Research findings, conceptual models and professional recommendations do not guarantee Google rankings, organic traffic, AI citations, inclusion in generated answers, brand mentions or provider recommendations.
Search platforms are controlled by third parties and their outputs depend on numerous interacting factors.
Neither publication of research nor implementation of a particular framework establishes entitlement to any specific platform outcome.
4.6 No Guarantee of Commercial Results
Improved visibility does not automatically produce leads, conversions, revenue, profitability or market share.
Commercial outcomes depend on factors including customer demand, pricing, competition, product suitability, user experience, sales processes and wider market conditions.
Historical results, illustrative examples and conceptual projections should not be interpreted as promises of future performance.
4.7 Research-Informed Professional Recommendations
Professional SEO and GEO recommendations may be informed by research, but their appropriateness depends on the organisation's specific circumstances.
Research findings should be distinguished from the professional judgement required to select, prioritise and implement interventions.
Readers should not assume that a recommendation suitable for one organisation will produce equivalent results for another.
5. Research Independence, Commercial Relationships and Professional Responsibility
5.1 CGO Media's Research and Commercial Activities
CGO Media conducts and publishes research while also providing professional SEO, GEO, AI search and related services.
This dual role creates a responsibility to distinguish evidence-based findings from commercial recommendations and promotional communications.
The existence of commercial activity does not automatically invalidate research. Nevertheless, material commercial interests may affect how readers assess independence and should be disclosed appropriately.
5.2 Independence and Research Integrity
Research credibility depends on the quality of evidence, appropriateness of methods, accurate attribution, transparent limitations and responsible interpretation.
Statements about independence should reflect the actual funding, editorial and decision-making arrangements associated with the relevant publication.
CGO Media's broader research conduct principles are addressed in Ethics & Integrity.
5.3 Sponsorship and Conflicts of Interest
Where a material sponsorship arrangement, commissioning relationship, financial interest or other conflict could reasonably affect interpretation, the relevant publication should provide suitable disclosure.
Disclosure does not automatically resolve every conflict, but it enables readers to consider the circumstances in which research was produced.
Readers should not assume that every CGO Media publication has identical funding or contributor arrangements.
5.4 Research Authorship and Attribution
CGO Media publications may be attributed to the CGO Media Research Team or to individually named researchers and authors.
Authorship should correspond to the relevant publication record. Research team attribution should not be substituted for individual authorship, or vice versa, without a valid basis.
Website metadata, repository records and citations should identify the responsible author or organisation accurately.
5.5 Not Legal, Financial or Medical Advice
CGO Media research is published for educational, informational and analytical purposes.
It does not constitute legal, financial, investment, accounting, regulatory, medical or other regulated professional advice.
Organisations should obtain advice from suitably qualified professionals when making decisions involving legal obligations, financial commitments, healthcare, regulatory compliance or other specialist responsibilities.
5.6 No Substitute for Independent Due Diligence
Readers remain responsible for evaluating whether research findings, models or recommendations are appropriate for their intended use.
Important decisions should not be based solely on an isolated quotation, statistic, chart, infographic or summary.
Where the implications are material, readers should examine the complete publication, supporting evidence, methodology, research period and stated limitations.
5.7 No Obligation to Purchase Services
The publication of CGO Media research should not be interpreted as a representation that organisations must engage CGO Media or purchase its services to respond to the research findings.
Research conclusions and commercial service arrangements are separate matters.
6. Publication Standards, Citations, Corrections and Research Reuse
6.1 Publication and Repository Records
CGO Media research may be published on its website and made available through external research repositories or academic discovery platforms.
Repository inclusion, indexing or DOI assignment can support discoverability, identification and citation. These mechanisms do not automatically establish independent peer review, methodological reliability or acceptance by an academic institution.
The publication status and validation history of a document should be assessed separately from its availability.
6.2 Academic and Third-Party References
Research may cite academic literature, platform documentation, public datasets, government information and other external material.
References should support the claims for which they are used. Inclusion in a bibliography does not mean that an external source endorses CGO Media or agrees with every interpretation presented.
External information may subsequently be updated, corrected, withdrawn or made unavailable.
6.3 Errors and Corrections
Despite reasonable efforts to maintain accuracy, publications may contain factual errors, incomplete information, citation problems or analytical conclusions requiring reconsideration.
Material errors should be evaluated and corrected appropriately. Corrections that affect a central finding should explain the consequence for interpretation.
Further information is provided in the Corrections guidance.
6.4 Revisions and Version Control
New evidence, methodological improvements or changes in the research environment may justify revisions.
Material revisions should be distinguishable from the original publication where appropriate.
Historical findings may remain accurate for their original observation period even when subsequent platform changes make them less relevant to current conditions.
6.5 Responsible Citation
Journalists, researchers, organisations and other publishers may cite CGO Media research subject to applicable attribution, copyright and licensing requirements.
Research should be quoted in context, with sufficient identification of the publication and its relevant date or version.
Users should not present an exploratory observation as a verified causal finding or omit material qualifications in a way that changes the meaning of the research.
Additional information appears in Citation Guidance.
6.6 Copyright, Licensing and Reuse
Research availability does not automatically mean that all text, datasets, images, figures, frameworks or other material may be reproduced without restriction.
Reuse rights depend on the applicable copyright, licence and any relevant third-party rights.
Where a repository publication carries a specific licence, users should examine the terms applicable to that version and its constituent materials.
See Usage & Licensing for the relevant CGO Media guidance.
6.7 Contact and Research Challenges
Readers who identify a potential factual error, citation issue, methodological weakness or misleading interpretation are encouraged to raise the matter through the CGO Media contact page.
Substantive challenges should be evaluated on their evidential merits. Disagreement alone does not prove that a finding is incorrect, but legitimate criticism can identify areas requiring clarification or further investigation.
7. Responsible Interpretation and Application of Research
7.1 Academic and Research Use
Researchers citing CGO Media publications should identify the type of publication and the evidential basis for the claim being referenced.
Conceptual frameworks should be distinguished from empirical investigations. Observational findings should not be converted into representative statistics without a suitable basis.
Where independent validation has not been established, citations should not imply otherwise.
7.2 Journalistic and Media Use
Journalists may use CGO Media research to investigate developments in search, AI discovery and organisational visibility.
However, headlines and summaries should reflect the actual scope of the evidence. Claims about AI adoption, source selection, platform behaviour or commercial impact should not exceed what the relevant publication supports.
Material methodological qualifications should be preserved when findings are reported to a wider audience.
Media enquiries and supporting information are available through Press & Media.
7.3 Organisational and Commercial Use
Organisations may use research to inform strategic planning, technical assessments, investment decisions or operational priorities.
Such decisions should consider the organisation's industry, geographic market, technical infrastructure, competitive position, resources and legal obligations.
A finding relevant to one organisation may not produce equivalent outcomes in another environment.
7.4 Use of Frameworks in Assessments
Conceptual frameworks may help organise evaluations and identify questions for further investigation.
However, a framework-based assessment should not be represented as a verified measurement of platform algorithms or future business performance unless supported by appropriate evidence.
Scores, maturity categories and classifications should be interpreted in relation to their definitions and underlying assumptions.
7.5 Use of Statistics and Infographics
Statistics and visual summaries can make research accessible, but they may omit contextual information necessary for interpretation.
Readers should examine the source, population, period, denominator and methodology before relying on a numerical claim.
Infographics should not be reproduced in ways that conceal uncertainty or remove material qualifications.
7.6 Artificial Intelligence Summaries and Secondary Interpretation
AI-generated summaries of CGO Media research may omit important context, misstate conclusions or combine findings from different publications.
Users should consult the original source when a claim is material to academic, professional or commercial decisions.
Neither a third-party AI summary nor its citation of a CGO Media publication should be treated as an authoritative substitute for the original document.
7.7 Research Responsibility
The reader or organisation applying a publication remains responsible for determining its suitability for the intended purpose.
This includes assessing methodological relevance, currency, evidence quality, legal obligations and the consequences of acting on an interpretation that may be uncertain.
Research-use principle: CGO Media research should inform decisions through evidence and context. It should not be treated as a substitute for verification, due diligence or appropriately qualified professional judgement.
8. Research Governance, Accountability and Continuing Development
8.1 The Research Governance Architecture
CGO Media's research governance documentation is intended to provide a coherent explanation of research responsibilities across the publication lifecycle.
The Research Architecture describes how research outputs and supporting resources relate to one another.
The Research Methodology provides the broader methodological foundation.
This disclaimer complements those documents by explaining how research should be interpreted, qualified, cited and applied.
8.2 Research Questions and Scope
The Research Scope & Questions document addresses the formulation of research questions, hypotheses, objectives and study boundaries.
Clearly defined scope helps prevent conclusions from extending beyond the intended investigation.
8.3 Evidence and Data Standards
The Research Data & Evidence Standards document addresses source selection, evidence provenance, verification and data quality.
These principles support the distinction between evidence that has been examined and information whose reliability remains uncertain.
8.4 Research Analysis
The Research Analysis Methods document examines analytical procedures, interpretation, uncertainty and the distinction between descriptive and inferential conclusions.
Appropriate analysis is essential to preventing the overstatement of observational findings.
8.5 Framework Development
The Research Frameworks & Models document addresses conceptual development, construct definition, evidence integration and model evaluation.
It explains why publication of a framework does not automatically establish empirical validation.
8.6 Limitations and Transparency
The Research Limitations & Transparency document provides detailed guidance on sampling restrictions, uncertainty, disclosure, research independence, corrections and publication accountability.
These principles are central to the responsible interpretation of research findings.
8.7 Ethical Conduct and Publication Integrity
Research integrity requires accurate attribution, appropriate treatment of evidence, acknowledgement of limitations and responsible handling of errors.
The Ethics & Integrity page provides the broader governance context for these responsibilities.
8.8 Ongoing Review and Improvement
Research methods and conclusions may require revision as technologies, evidence and professional standards develop.
CGO Media's published research should be evaluated in the context of its original methods and observation periods, while remaining open to legitimate scrutiny and correction.
The objective of research governance is not to eliminate all uncertainty, but to ensure that uncertainty, assumptions and material limitations are communicated responsibly.
Research Disclaimer: Key Interpretive Boundaries
Research Findings
Findings apply within the conditions, evidence and methods supporting the relevant publication.
Research Observations
Observed patterns are not automatically representative statistics or proof of causal mechanisms.
Statistics
Figures require appropriate interpretation of their source, population, definition and collection period.
Conceptual Frameworks
Analytical models should not be mistaken for validated descriptions of proprietary platform systems.
Forecasts
Future scenarios are uncertain interpretations, not guarantees of technological or commercial outcomes.
Professional Application
Research supports evaluation but does not replace independent judgement, due diligence or specialist advice.
Research Methodology and Governance Resources
These documents provide additional context for evaluating CGO Media research and its publication standards.
Conclusion
CGO Media research is intended to contribute evidence, analysis and structured understanding to the evolving fields of search engine optimisation, generative engine optimisation, artificial intelligence search and digital discovery.
Every publication should be interpreted in relation to its purpose, evidence, methodology, observation period and stated limitations. Research observations, statistical findings, conceptual frameworks and forward-looking analysis serve different purposes and should not be treated as interchangeable forms of proof.
Transparent research communication requires accurate attribution, proportionate conclusions, responsible disclosure and openness to correction. These principles support informed scrutiny by journalists, researchers, organisations and professional audiences while recognising that no research programme can eliminate every source of uncertainty.
CGO Media Research Team presents this disclaimer as a central reference for the responsible interpretation, citation and application of CGO Media's published research.
References and Research Governance Foundations
The following external resources provide established guidance relevant to research integrity, reproducibility, transparent reporting, statistical interpretation and responsible publication. They are methodological reference points and do not establish independent validation of CGO Media publications.
- National Academies of Sciences, Engineering, and Medicine (2019). Reproducibility and Replicability in Science. National Academies Press. https://doi.org/10.17226/25303
- Munafò, M. R. et al. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1, 0021. https://doi.org/10.1038/s41562-016-0021
- Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. https://doi.org/10.1038/sdata.2016.18
- Page, M. J. et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
- von Elm, E. et al. (2007). The STROBE statement: guidelines for reporting observational studies. PLoS Medicine, 4(10), e296. https://doi.org/10.1371/journal.pmed.0040296
- Wasserstein, R. L., Schirm, A. L. and Lazar, N. A. (2019). Moving to a World Beyond p < 0.05. The American Statistician, 73(sup1), 1–19. https://doi.org/10.1080/00031305.2019.1583913
- Committee on Publication Ethics. COPE Core Practices. https://publicationethics.org/core-practices
Research Disclaimer: 24 Frequently Asked Questions
These questions explain the scope, limitations, independence and responsible use of CGO Media research.
1. What is the purpose of the CGO Media Research Disclaimer?
The disclaimer explains how CGO Media research should be interpreted, including its evidential limitations, publication categories, commercial context, correction procedures and appropriate use.
2. Does CGO Media publish original research?
CGO Media publishes research across several categories, including original investigations, observations, statistical analysis, conceptual frameworks and sector research. The evidential basis of each publication should be assessed individually.
3. Are all CGO Media publications peer reviewed?
No universal claim of independent peer review is made. Readers should examine the review and publication status of each individual document.
4. Does a Zenodo DOI prove that research is scientifically validated?
No. A DOI supports persistent identification and citation. It does not independently establish peer review, methodological quality or empirical validation.
5. What is the difference between a research observation and a statistic?
A research observation describes behaviour or patterns under defined conditions. A statistic expresses a numerical measurement or estimate whose interpretation depends on its population, definition and method.
6. Are CGO Media research frameworks scientifically proven?
Frameworks are analytical or conceptual structures. Their publication does not automatically establish empirical validation. Specific claims require appropriate supporting evidence.
7. Can AI search research reveal exactly how proprietary models work?
Not necessarily. Researchers may examine documentation and observable outputs, but these do not automatically reveal every internal ranking, retrieval or source-selection mechanism.
8. Why might AI-generated answers differ between tests?
Outputs may vary because of model updates, prompts, retrieval conditions, user context, language, location and collection time. A single answer should not be treated as proof of universal behaviour.
9. Can a research finding become outdated?
Yes. Search platforms and AI systems change over time. A finding may accurately describe its original observation period without remaining applicable to later platform versions.
10. Does correlation establish a search ranking factor?
No. Correlation alone does not establish causation. Alternative explanations and unmeasured variables may influence an observed relationship.
11. Where do CGO Media statistics come from?
Statistics may originate from original analysis, third-party datasets, public records, industry research or combinations of sources. The source and methodology of material figures should be examined.
12. Can CGO Media statistics be applied to every industry?
No. Statistical findings should not be generalised across industries, countries or audiences unless the underlying research supports that application.
13. Does CGO Media guarantee Google rankings?
No. Research publications, frameworks and recommendations do not guarantee Google rankings or any other specific search platform outcome.
14. Does CGO Media guarantee AI citations or recommendations?
No. AI citations, brand mentions and provider recommendations depend on third-party systems and changing conditions. Research does not guarantee their occurrence.
15. Does improved search visibility guarantee revenue growth?
No. Visibility and commercial performance are different outcomes. Revenue depends on numerous additional factors, including demand, pricing, competition and conversion processes.
16. Is CGO Media research independent of its commercial services?
CGO Media conducts research and provides commercial services. This dual role requires transparent distinction between research findings and promotional claims, together with appropriate disclosure of material interests.
17. Does CGO Media disclose sponsored research?
Material sponsorship, commissioning relationships or conflicts that could reasonably affect interpretation should be disclosed in the relevant publication.
18. Does CGO Media use artificial intelligence in research?
AI-assisted tools may support research workflows where appropriate. Their use does not remove responsibility for reviewing factual claims, evidence, citations and the final published material.
19. Can CGO Media research replace legal or financial advice?
No. Research is published for educational, informational and analytical purposes. It does not replace legal, financial, regulatory, medical or other appropriately qualified specialist advice.
20. What happens if a CGO Media research publication contains an error?
Material errors should be assessed and corrected appropriately. The Corrections guidance provides further information about publication updates and accountability.
21. Can journalists cite CGO Media research?
Yes, subject to applicable attribution, copyright and licensing requirements. Findings should be reported in context without omitting material methodological qualifications. See Citation Guidance.
22. Can CGO Media research figures and infographics be reused?
Reuse depends on the applicable licence, copyright and any relevant third-party rights. Consult Usage & Licensing before reproducing protected material.
23. Where can readers find the complete research methodology?
The Research Methodology collection links to five dedicated documents covering research scope, evidence standards, analysis methods, framework development, and limitations and transparency.
24. Who is responsible for the CGO Media Research Disclaimer?
This document is attributed to the CGO Media Research Team and published by CGO Media. Individual research publications may have different authorship and repository records.
Research Attribution and Publication Information
Document: Research Disclaimer
Responsible author: CGO Media Research Team
Publisher: CGO Media
Document classification: Research Governance and Publication Disclaimer
Research subjects: SEO, GEO, AI search, research integrity, evidence limitations, statistics, conceptual frameworks, research independence and responsible publication.
Canonical URL: https://cgomedia.com/research-disclaimer/
Research governance: Ethics & Integrity
Updated: 22 October 2026