Document Type: Framework
Status: Active
Version: v1.1
Authority: Content Brain under HeadOffice governance
Applies To: All Content Brain Planning, Production, Editing, Review, Approval, Publishing Preparation, Refresh, Repurposing And Lifecycle Work Where Credibility, Evidence, Transparency Or Audience Trust Is Material
Parent: Content Brain
Enforcement Mode: Operational
Last Reviewed: 2026-06-15
Content Brain E E A T Content Trust Framework
Purpose
The Content Brain E E A T Content Trust Framework defines how MWMS establishes and protects content trust through:
- genuine experience
- relevant expertise
- appropriate authority
- factual accuracy
- evidence quality
- transparency
- realistic claims
- disclosure
- visible limitations
- review
- correction responsibility
- human accountability
This Framework applies across the full Content Brain system.
It is not limited to SEO content.
It applies wherever an audience may rely on content to:
- understand a subject
- make a decision
- compare options
- evaluate an offer
- follow instructions
- take action
- trust a recommendation
- assess risk
- use a product or service
- engage with MWMS or an associated business
Core Principle
Trust must be earned through the quality and integrity of the content.
Trust must not be manufactured through:
- fabricated experience
- invented credentials
- false authority
- fake testimonials
- misleading reviews
- unsupported claims
- hidden affiliations
- deceptive advertorial presentation
- exaggerated certainty
- false urgency
- false scarcity
- AI-generated proof presented as real
Experience, expertise and authority may strengthen content.
Trustworthiness governs whether those signals should be believed.
Where trustworthiness conflicts with persuasion, speed, ranking or conversion, trustworthiness takes priority.
Framework Objective
This Framework exists to ensure MWMS content is:
- accurate
- honest
- appropriately sourced
- transparent
- defensible
- clear about uncertainty
- clear about affiliations
- clear about limitations
- suitable for its risk level
- reviewed by the correct authority
- accountable after publication
The Framework must prevent:
- fabricated authority
- false firsthand experience
- unsupported expertise claims
- weak or misleading sourcing
- vendor marketing being presented as independent proof
- hidden commercial relationships
- misleading comparison content
- deceptive advertorials
- unverified high-risk guidance
- trust signals being added only as conversion devices
- AI creating false experience or credibility
- outdated content remaining live without review
- approved content being changed without control
Scope
This Framework applies to:
Website Content
- home pages
- about pages
- service pages
- product pages
- category pages
- local pages
- landing pages
- bridge pages
- pre-sell pages
- advertorials
- review pages
- comparison pages
- buyer guides
- FAQ pages
- authority pages
- pillar pages
- topic hubs
- supporting pages
- knowledge-base pages
- onboarding pages
Article Content
- educational articles
- informational articles
- commercial articles
- affiliate articles
- reviews
- comparisons
- buyer guides
- how-to articles
- case studies
- authority articles
- research-led articles
- search-led articles
- refreshed articles
Social Content
- Facebook posts
- Instagram captions
- Instagram carousels
- LinkedIn posts
- X posts
- X threads
- YouTube community posts
- TikTok content
- social series
- comment-response content
- educational social content
- promotional social content
Scripted Content
- YouTube scripts
- YouTube Shorts scripts
- TikTok scripts
- Instagram Reel scripts
- webinar scripts
- video sales letter scripts
- explainer scripts
- product demonstration scripts
- podcast scripts
- voiceover scripts
- presentation scripts
- training scripts
- advertising scripts
Advertising Content
- hooks
- headlines
- primary copy
- descriptions
- search ads
- display ads
- native ads
- YouTube ads
- Meta ads
- TikTok ads
- advertorial copy
- pre-sell copy
- CTA variations
- creative variations
Email And Newsletter Content
- newsletters
- promotional emails
- educational emails
- welcome sequences
- nurture sequences
- launch sequences
- affiliate promotional sequences
- re-engagement sequences
- post-purchase emails
- subject lines
- preview text
Manuals Guides And Documentation
- instruction manuals
- implementation guides
- user guides
- playbooks
- standard operating procedures
- reports
- white papers
- ebooks
- workbooks
- checklists
- lead magnets
- onboarding packs
- client documents
- course lessons
- training materials
- internal documentation
- knowledge-base content
Content Packs
- affiliate content packs
- website packs
- campaign packs
- product packs
- social packs
- video packs
- email packs
- documentation packs
- launch packs
- repurposing packs
Lifecycle Work
- refresh
- expansion
- correction
- merge
- repurposing
- localisation
- consolidation
- relinking
- retirement
- archive preparation
What This Framework Does Not Govern
This Framework does not independently govern:
- broad research authority
- offer approval
- campaign approval
- advertising budgets
- bidding
- targeting
- campaign optimisation
- formal statistical test validity
- final legal interpretation
- final medical interpretation
- final financial interpretation
- publication authority
- deployment authority
- plugin implementation
- worker activation
- AI Employee activation
- Brain Room routing
- automatic M handoff
Those remain governed by the relevant Brain, human authority, protocol, framework or authorised system.
E E A T Definition
Experience
Experience means genuine involvement with the subject.
It may include:
- using a product
- delivering a service
- completing a process
- testing a method
- observing a real outcome
- working in a relevant field
- supporting real users
- analysing real operational results
- documenting real implementation lessons
Experience must be:
- real
- relevant
- supportable
- represented accurately
Experience must not be invented because it would make the content more persuasive.
Expertise
Expertise means relevant knowledge or skill sufficient for the content task.
Expertise may be demonstrated through:
- accurate explanation
- correct terminology
- sound reasoning
- appropriate evidence
- practical knowledge
- qualified review
- recognised training
- professional experience
- technical competence
- transparent methodology
Expertise does not require fame.
Expertise must be relevant to the subject and the risk level.
Authoritativeness
Authoritativeness means the content, source, author, reviewer, organisation or method has credible standing in the relevant context.
Authority may come from:
- recognised subject knowledge
- demonstrated competence
- reputable source material
- official records
- established business responsibility
- specialist review
- transparent methodology
- relevant credentials
- trusted industry standing
- consistent accurate work
Authority must not be implied through vague wording, false associations or fabricated endorsement.
Trustworthiness
Trustworthiness means the content can reasonably be relied upon for its intended purpose.
Trustworthiness is supported by:
- factual accuracy
- evidence quality
- transparency
- realistic claims
- visible limitations
- clear disclosures
- suitable review
- clear responsibility
- current information
- correction readiness
- consistent representation
Trustworthiness is the controlling component.
Experience, expertise and authority must not be used to conceal weak evidence or misleading claims.
Trust Is Contextual
The level of trust required depends on:
- subject matter
- audience vulnerability
- possible harm
- financial consequence
- legal consequence
- health consequence
- safety consequence
- reputational consequence
- permanence of the decision
- content format
- destination
- commercial relationship
A simple social post does not require the same evidence and review as medical, financial, legal or safety guidance.
Every asset still requires a trust standard appropriate to its role.
Trust Requirement Classification
Each material asset may be classified as:
- Standard Trust
- Elevated Trust
- High-Risk Trust
- Critical Trust
Standard Trust
May apply to:
- general educational content
- low-risk social content
- basic business information
- general promotional content
- simple operational instructions
Standard Trust still requires:
- accuracy
- honesty
- suitable sourcing
- disclosure where relevant
- human review
Elevated Trust
May apply to:
- product comparisons
- affiliate reviews
- buyer guides
- technical explanations
- commercial recommendations
- detailed tutorials
- business advice
- important purchasing decisions
Elevated Trust may require:
- stronger sourcing
- clearer methodology
- limitations
- reviewer identification
- more detailed verification
High-Risk Trust
May apply to:
- health
- medical
- disease
- pain
- mental health
- sexual health
- finance
- income
- investing
- legal
- employment
- safety
- regulated products
- material guarantees
- high-value purchasing decisions
- sensitive customer outcomes
High-Risk Trust requires:
- strong source control
- explicit evidence review
- stricter factual verification
- specialist review where required
- visible limitations
- clear risk communication
- human approval
Critical Trust
May apply where incorrect content could create:
- serious physical harm
- serious financial harm
- legal exposure
- regulatory breach
- material reputational damage
- dangerous technical failure
- severe customer deception
Critical Trust content must not progress without the required specialist and human authority.
Experience Integrity Rule
Content may refer to experience only when the experience is genuine.
Required checks:
- Who had the experience?
- What was actually experienced?
- When did it occur?
- Is the experience relevant?
- Is the account accurate?
- Is the experience typical or unusual?
- Are limitations disclosed?
- Can the experience be supported?
- Has permission been obtained where required?
Content must not:
- imply product use that did not occur
- claim testing that did not occur
- imply customer interaction that did not occur
- create fictional personal stories presented as real
- present an AI-generated scenario as firsthand experience
- imply independent review where the content is promotional
- present vendor-supplied experiences as MWMS firsthand experience
Hypothetical Example Rule
Hypothetical examples may be used where they improve understanding.
They must be presented clearly as:
- hypothetical
- illustrative
- sample
- fictional
- modelled
- example only
A hypothetical example must not be presented as:
- a real customer
- a real result
- a real case study
- a real testimonial
- a real test
- a real endorsement
Expertise Integrity Rule
Expertise claims must be:
- relevant
- accurate
- proportionate
- current where required
- supportable
Content must not imply:
- medical expertise without appropriate authority
- legal expertise without appropriate authority
- financial expertise without appropriate authority
- technical expertise without appropriate competence
- product expertise based only on vendor copy
- professional status that does not exist
- specialist review that did not occur
Where an author is not a specialist, content may still be produced using:
- approved sources
- clear limitations
- appropriate attribution
- specialist review
- human approval
Credential Relevance Rule
Credentials should be shown only where they materially support the content.
Relevant credentials may include:
- professional qualification
- licence
- certification
- recognised training
- industry experience
- role responsibility
- specialist review authority
Credentials must not be used as decorative trust symbols where they do not relate to the subject.
Required checks:
- credential is genuine
- credential is current where required
- credential is relevant
- credential is represented accurately
- credential owner approved its use
- credential does not imply broader authority than it provides
Authority Integrity Rule
Authority signals must be genuine.
Possible authority signals include:
- official sources
- recognised institutions
- qualified specialists
- relevant professional experience
- transparent methods
- documented case evidence
- established business responsibility
- current certifications
- independent review
Prohibited authority signals include:
- fabricated experts
- fake awards
- invented media coverage
- false partnerships
- unauthorised logos
- vague claims such as “experts agree” without support
- misleading association with recognised organisations
- AI-generated endorsements
- paid endorsements presented as independent
Author Identity Standard
Author identity should be shown where it improves transparency, accountability or trust.
Author information may include:
- name
- role
- relevant experience
- relevant credentials
- contribution
- date
- contact or correction route where appropriate
Author identity is especially important for:
- high-risk content
- expert guidance
- major reviews
- major comparisons
- detailed research content
- professional advice
- technical manuals
- sensitive topics
Author identity must not be invented or misrepresented.
Reviewer Identity Standard
Reviewer identity should be shown or internally recorded where specialist or editorial review materially supports trust.
Reviewer information may include:
- name
- role
- review type
- relevant qualification
- review date
- review scope
A reviewer must not be described as having approved the entire asset if the review covered only:
- one claim
- one section
- technical accuracy
- compliance language
- product information
The scope of review should remain clear.
Authorship And Contribution Transparency
Where useful, distinguish between:
- author
- editor
- specialist reviewer
- fact checker
- researcher
- business owner
- product owner
- AI-assisted production
- human approver
Not every public asset requires a detailed contributor list.
Material contribution and accountability should remain traceable internally.
Source Authority Standard
Sources should be selected according to:
- relevance
- reliability
- directness
- currency
- independence
- expertise
- transparency
- suitability for the claim
Possible source levels include:
Primary Sources
- official records
- original research
- legislation
- regulation
- court decisions
- official product documentation
- direct business records
- direct interviews
- firsthand measurements
- original datasets
Strong Secondary Sources
- peer-reviewed reviews
- respected professional bodies
- established research organisations
- recognised industry authorities
- reputable expert analysis
Supporting Sources
- credible journalism
- established industry publications
- verified business information
- transparent specialist commentary
Restricted Sources
- vendor marketing
- affiliate promotional pages
- anonymous claims
- unsourced summaries
- AI-generated summaries
- social posts
- forum comments
- user-generated content
- outdated content
Restricted sources may support context or observation.
They should not automatically be treated as independent evidence.
Evidence Quality Standard
Evidence quality should be assessed according to:
- source authority
- relevance
- directness
- recency
- sample quality
- methodology
- consistency
- limitations
- independence
- applicability to the audience
Strong language requires strong evidence.
Evidence must not be overstated.
Vendor Claim Versus Independent Evidence Rule
Vendor claims must be identified as vendor claims unless independently verified.
Examples include:
- product benefits
- mechanism claims
- customer results
- success rates
- performance claims
- safety claims
- guarantee claims
- comparison claims
- effectiveness claims
Content must not transform:
Vendor Says
into
Independent Evidence Shows
unless independent evidence genuinely supports that statement.
Claim Classification
Claims may be classified as:
- confirmed fact
- verified claim
- vendor claim
- testimonial claim
- expert interpretation
- working assumption
- creative positioning
- unsupported claim
- prohibited claim
Each material claim should use language appropriate to its classification.
Claim Validation Rule
Important claims must be:
- traceable
- supportable
- realistic
- accurately worded
- appropriate to the audience
- suitable for the destination
- within compliance boundaries
Required checks may include:
- source confirmed
- wording matches evidence
- limitations retained
- timeframe accurate
- population accurate
- product or offer accurate
- guarantee conditions accurate
- comparison basis accurate
- testimonial status accurate
Certainty And Qualification Rule
Content must not express more certainty than the evidence supports.
Possible qualification language may include:
- may
- can
- appears
- suggests
- is associated with
- is intended to
- according to the vendor
- based on available evidence
- individual results may vary
- depends on
- subject to
Qualification must not be used merely as a cosmetic disclaimer after an exaggerated headline.
The entire asset must represent the evidence honestly.
Transparency Rule
Content should disclose material information that may affect how the audience interprets it.
This may include:
- affiliate relationship
- sponsorship
- paid placement
- free product
- commercial relationship
- ownership interest
- editorial relationship
- advertorial status
- limitations
- risks
- conditions
- eligibility
- exclusions
- update date
- source limitations
- absence of firsthand experience
Transparency should be:
- clear
- visible
- understandable
- timely
- suitable for the platform
Affiliate Disclosure Rule
Affiliate content must disclose the material relationship where required.
The disclosure should not be hidden:
- after the recommendation
- inside unclear legal wording
- behind an unrelated link
- at the bottom where it is unlikely to be seen
- only in a general site policy when asset-level disclosure is required
Affiliate disclosure does not correct:
- fabricated experience
- misleading independence
- unsupported claims
- unfair comparison
- deceptive advertorial presentation
Advertorial Transparency Rule
Advertorial, sponsored or promotional content must not falsely appear to be independent journalism.
Required checks:
- commercial status clear
- publisher identity clear
- advertiser relationship clear where required
- recommendation basis clear
- claims supportable
- testimonials genuine
- urgency genuine
- destination accurately represented
- disclosure visible
Content must not fabricate:
- news reporting
- reporter identity
- publication endorsement
- independent investigation
- breaking-news framing
- editorial independence
Review Integrity Rule
A review must be clear about the basis of the review.
Possible bases include:
- firsthand use
- verified product analysis
- vendor-material analysis
- customer-feedback analysis
- feature comparison
- evidence review
- offer-page review
- expert review
The review must not imply firsthand use when none occurred.
Required checks:
- review method clear
- product details verified
- offer details verified
- benefits supportable
- limitations included
- alternatives considered where relevant
- disclosure present
- recommendation basis clear
- reviewer identity appropriate
Comparison Integrity Rule
A comparison must use fair and visible criteria.
Required checks:
- comparison criteria defined
- products or services reasonably comparable
- information current
- pricing basis clear
- feature basis clear
- limitations included
- affiliate relationships disclosed
- preferred recommendation justified
- competitor claims verified where possible
- no selective omission designed to mislead
A comparison must not create authority through a false appearance of independence.
Testimonial Integrity Rule
Testimonials must be:
- genuine
- authorised where required
- accurately represented
- relevant
- not materially altered
- not presented as typical without basis
- accompanied by required disclosures or qualifications
Content must not:
- generate fake testimonials
- combine several people into one invented testimonial
- create AI-generated testimonial images presented as real customers
- remove material limitations
- change the outcome
- imply independent endorsement where compensation exists
- invent names, roles or locations
Case Study Integrity Rule
A case study must distinguish:
- actual facts
- customer statements
- business interpretation
- measured outcomes
- estimated outcomes
- assumptions
- limitations
A case study must not:
- invent results
- omit material failures
- alter timelines deceptively
- imply causation without basis
- present a modelled example as a real case
- expose confidential information without authority
Limitation Rule
Trustworthy content should state material limitations where they affect the audience’s decision or understanding.
Possible limitations include:
- evidence limitations
- product limitations
- service limitations
- eligibility limits
- location limits
- experience limits
- data limits
- individual-result variation
- timing limits
- cost limits
- operational dependencies
- known uncertainties
Limitations should be placed where they can be understood.
They must not be hidden after strong claims.
Risk Communication Rule
Risk should be communicated proportionately.
Content must not:
- hide a material risk
- exaggerate risk to create fear
- minimise risk to encourage action
- imply certainty where uncertainty exists
- use a generic disclaimer to excuse misleading content
Risk communication should help the audience make a better-informed decision.
Tone And Honesty Standard
Trustworthy content should be:
- clear
- direct
- realistic
- respectful
- appropriately confident
- transparent about uncertainty
Content should avoid:
- exaggerated certainty
- manipulative urgency
- false scarcity
- emotional pressure
- fearmongering
- sensational language
- vague authority claims
- guaranteed-result framing without valid authority
- overconfident medical, legal or financial conclusions
Persuasion And Trust Boundary
Persuasion may be used.
Persuasion must remain within:
- factual accuracy
- evidence
- audience relevance
- compliance requirements
- honest representation
- reasonable expectations
Trust must not be sacrificed for:
- a stronger hook
- a higher click-through rate
- a faster conversion
- a more aggressive CTA
- a more dramatic story
- a stronger comparison
- a short-term campaign result
Trust Signal Relevance Rule
Trust signals should be used only when they are:
- genuine
- relevant
- understandable
- proportionate
- suitable for the asset
Possible trust signals include:
- author identity
- reviewer identity
- credentials
- methodology
- citations
- source links
- update date
- correction route
- disclosures
- limitations
- real examples
- testimonials
- case evidence
- business contact information
- product documentation
Not every asset requires every trust signal.
Adding unnecessary badges, citations or credentials does not automatically create trust.
Authority Stacking Boundary
Several genuine trust signals may reinforce one another.
However, authority stacking must not become:
- visual manipulation
- unsupported logo use
- fake media association
- false endorsement
- excessive proof used to hide weak evidence
- unrelated credentials
- duplicated testimonials
- meaningless badge collections
The strength of trust comes from integrity, not the number of symbols shown.
Correction Ownership
Material content should have a clear correction path.
Correction ownership may identify:
- content owner
- editor
- business owner
- specialist reviewer
- publishing owner
- lifecycle owner
Correction triggers may include:
- factual error
- outdated information
- broken link
- changed product detail
- changed offer term
- unsupported claim
- missing disclosure
- regulatory change
- customer complaint
- specialist concern
- reputational risk
High-risk corrections may require immediate holding, editing, unpublishing or escalation.
Update Responsibility
Content requiring ongoing accuracy should define:
- review owner
- review date
- likely change triggers
- source owner
- correction process
- retirement condition
Not every asset needs a fixed review schedule.
Review timing should reflect:
- risk
- volatility
- audience reliance
- product changes
- offer changes
- regulatory changes
- evidence changes
- performance signals
Content Provenance
Content provenance means enough information is retained to understand:
- originating request
- source material
- author or producer
- material contributors
- specialist review
- major assumptions
- approval owner
- approved version
- publication destination
- correction history where material
Provenance does not require public disclosure of every internal step.
It requires sufficient accountability.
Version Transparency
Where material changes affect trust, the system should be able to identify:
- previous version
- current version
- change reason
- change owner
- review status
- approval status
- publication status
Old or unapproved versions must not be mistaken for current approved content.
AI-Assisted Trust Controls
AI may assist with:
- planning
- drafting
- editing
- summarisation
- source organisation
- consistency checking
- formatting
- quality review
- refresh recommendations
AI must not fabricate:
- experience
- expertise
- credentials
- authority
- endorsements
- testimonials
- customer stories
- case studies
- product use
- testing
- sources
- statistics
- quotes
- review outcomes
- evidence
- independent verification
AI-generated fluency does not create trust.
AI-generated confidence does not create evidence.
AI cannot approve its own trustworthiness.
AI Disclosure Rule
Public disclosure of AI assistance is not automatically required for every asset.
Disclosure may be required where:
- law or regulation requires it
- platform rules require it
- client agreement requires it
- the method materially affects audience interpretation
- synthetic media could mislead the audience
- AI-generated identity, voice, image or representation is used
- transparency is necessary to avoid deception
Internal traceability should remain sufficient for material AI-assisted work.
Synthetic Media Rule
Synthetic images, voices, people or demonstrations must not be presented as real when doing so would mislead the audience.
Required checks:
- purpose clear
- audience risk assessed
- platform requirements checked
- disclosure requirement checked
- no false customer identity
- no fake expert
- no fake testimonial
- no fake demonstration
- no false before-and-after representation
- no misleading news or documentary presentation
High-Risk Content Controls
High-risk content requires stronger trust controls.
Required checks:
- content risk classified
- source quality sufficient
- important facts verified
- claims traceable
- limitations included
- risks communicated
- author suitability confirmed
- specialist review completed where required
- human approval recorded
- correction owner identified
- review trigger defined
AI must not make final high-risk determinations independently.
Specialist-Review Triggers
Specialist review may be required for:
- medical claims
- health claims
- disease claims
- mental-health guidance
- financial claims
- income claims
- investment claims
- legal statements
- regulatory statements
- safety instructions
- technical instructions
- product-performance claims
- comparative superiority claims
- guarantees
- sensitive testimonials
- disputed evidence
- material customer risk
- significant reputational risk
Possible reviewers include:
- Compliance Brain
- legal reviewer
- medical reviewer
- financial reviewer
- technical reviewer
- product reviewer
- offer reviewer
- brand reviewer
- client
- authorised stakeholder
Specialist Review Scope
The review record should identify:
- reviewer
- reviewer role
- relevant expertise
- content version
- review date
- review scope
- decision
- required changes
- unresolved limitations
- re-review requirement
Specialist review of one section must not be presented as approval of unrelated sections.
Website Trust Controls
For website content, confirm where relevant:
- business identity clear
- page purpose clear
- contact path available
- service or product details accurate
- authorship or ownership suitable
- disclosures present
- claims supportable
- testimonials genuine
- policies accessible
- limitations clear
- internal links consistent
- page updated where required
- correction route available
Article Trust Controls
For articles, confirm:
- audience clear
- purpose clear
- author or contributor suitable
- sources sufficient
- facts verified
- evidence accurately represented
- claims qualified
- limitations included where material
- update date included where useful
- internal links appropriate
- commercial relationship disclosed
- specialist review complete where required
Review And Comparison Trust Controls
Confirm:
- review basis stated
- firsthand experience accurately represented
- comparison criteria visible
- product details verified
- pricing and offer terms current
- affiliate relationship disclosed
- strengths and limitations included
- alternatives treated fairly
- recommendation basis clear
- no fake independence
- no fabricated testing
- no invented authority
- no unsupported superiority
Social Content Trust Controls
For social content, confirm:
- claim remains accurate despite brevity
- context is not removed misleadingly
- source relationship preserved
- sponsored or affiliate relationship disclosed where required
- testimonial or customer story genuine
- visual representation accurate
- urgency and scarcity genuine
- platform adaptation does not distort meaning
- comment response does not become unsupported advice
Short-form content does not receive permission to become inaccurate.
Script Trust Controls
For scripts, confirm:
- spoken claims accurate
- visual claims accurate
- demonstrations genuine
- on-screen text accurate
- testimonials genuine
- product use represented honestly
- disclosures suitable for spoken or visual delivery
- dramatic structure does not distort evidence
- CTA does not create misleading pressure
- specialist review completed where required
Scripts must be reviewed as performed content.
Advertising Trust Controls
For advertising content, confirm:
- Ads Brain or authorised request exists
- offer details accurate
- hook supportable
- claim boundaries respected
- destination supports the promise
- message match maintained
- urgency genuine
- scarcity genuine
- guarantee conditions accurate
- disclosures present where required
- testimonials genuine
- before-and-after material supportable
- approval recorded
Content Brain does not control campaign budgets, bidding, targeting or deployment.
Newsletter And Email Trust Controls
For newsletters and email content, confirm:
- sender identity clear
- audience relationship appropriate
- subject line accurate
- preview text accurate
- claims supportable
- offer details current
- links correct
- affiliate or promotional relationship disclosed
- urgency genuine
- sequence remains consistent
- unsubscribe and platform requirements handled by the authorised system
- sending remains human controlled
Manual Guide And Documentation Trust Controls
For manuals, guides and documentation, confirm:
- authoritative source available
- instructions accurate
- prerequisites clear
- warnings visible
- steps correctly ordered
- technical terms correct
- limitations stated
- examples accurate
- troubleshooting appropriate
- update ownership clear
- specialist review complete where required
- delivery version confirmed
Documentation trust is based heavily on accuracy and operational reliability.
Content-Pack Trust Controls
For content packs, confirm:
- shared sources controlled
- shared offer details consistent
- shared evidence consistent
- claims consistent
- disclosures consistent
- experience claims consistent
- author and reviewer roles clear
- cross-asset limitations preserved
- CTA pathway honest
- advertorial status clear where required
- specialist review applied across affected assets
- correction changes propagated across all affected assets
- approved versions identified
A trust failure in one shared control may affect the entire pack.
Cross-Asset Consistency
Trust decreases when related assets conflict.
Review:
- names
- dates
- prices
- product details
- service details
- refund terms
- rebill terms
- guarantee terms
- mechanism
- evidence
- claims
- disclosures
- limitations
- audience
- terminology
- CTA destination
- author or reviewer representation
- offer status
Material corrections must be applied across all affected assets.
Refresh Trust Controls
Before refreshing content, confirm:
- reason for refresh
- existing trusted material to preserve
- outdated facts
- outdated evidence
- changed offer details
- changed product details
- changed disclosures
- changed risks
- changed regulations
- changed reviewer requirements
- correction history
- approval owner
A refresh must not remove valid limitations or qualifications merely to make the content more persuasive.
Repurposing Trust Controls
When content is repurposed:
- source meaning must be preserved
- evidence must remain accurate
- claims must not expand
- limitations must remain visible where material
- disclosures must be adapted
- author or reviewer representation must remain accurate
- platform constraints must not create deception
- synthetic media must not imply false experience
Localisation Trust Controls
Localised content must verify:
- local terminology
- local units
- local currency
- local regulations
- local product availability
- local service availability
- local offer terms
- local disclosure requirements
- local risk communication
- cultural suitability
Changing only location names does not create trustworthy localisation.
Correction Trust Controls
When a trust issue is identified:
- affected asset identified
- risk classified
- affected versions identified
- live-use decision made
- correction owner assigned
- source rechecked
- corrected content produced
- related assets checked
- specialist review completed where required
- human approval recorded
- correction published by an authorised human
- outcome recorded
High-risk misinformation may require immediate action.
Retirement Trust Controls
Content may need retirement when:
- claims are no longer supportable
- evidence is outdated
- product or service no longer exists
- offer has ended
- disclosures are inadequate
- specialist review cannot support the asset
- correction is impractical
- trust damage exceeds continued value
- replacement content is approved
Retirement remains human controlled.
Trust Review Record
Asset Title:
Asset Type:
Content Action:
Audience:
Purpose:
Trust Classification:
Experience Basis:
Expertise Basis:
Authority Basis:
Primary Sources:
Evidence Status:
Vendor Claims Present:
Independent Evidence Present:
Disclosures Required:
Limitations Required:
Author:
Reviewer:
Specialist Review Required:
Correction Owner:
Update Owner:
Human Approval Owner:
Current Status:
Outstanding Trust Risk:
Content Trust Review Questions
Before production:
- What level of trust is required?
- Who may rely on the content?
- What harm could inaccurate content cause?
- Is genuine experience available?
- What expertise is required?
- What sources are authoritative?
- Are vendor claims being distinguished from independent evidence?
- What disclosures are required?
- What limitations must be visible?
- Is specialist review required?
During production:
- Are facts accurate?
- Are claims within the evidence?
- Is uncertainty preserved?
- Is experience genuine?
- Is authority represented honestly?
- Are affiliations clear?
- Is the tone realistic?
- Are risks or limitations being hidden?
- Is AI inventing trust signals?
Before approval:
- Can the content be relied upon for its intended purpose?
- Are the correct sources used?
- Are the correct versions reviewed?
- Is specialist review complete?
- Are disclosures visible?
- Are limitations understandable?
- Is the author or reviewer representation accurate?
- Is correction ownership clear?
- Has a human approved the asset?
Minimum Content Trust Checklist
Use this for simple low-risk assets.
Confirm:
- purpose clear
- audience clear
- facts checked
- claims supportable
- experience genuine where claimed
- expertise represented accurately
- authority signals genuine
- source basis sufficient
- vendor claims identified where relevant
- disclosures present where required
- limitations included where material
- no fabricated testimonial
- no false urgency or scarcity
- AI has not invented trust signals
- editing complete
- specialist review complete where required
- human approval recorded
- correct version confirmed
Stop Conditions
Stop production, approval or publication when:
- a material fact cannot be verified
- a material claim lacks support
- experience has been fabricated
- expertise has been misrepresented
- credentials are false or irrelevant
- authority has been fabricated
- a testimonial cannot be verified
- a case study is materially misleading
- vendor claims are presented as independent evidence
- affiliate disclosure is missing
- advertorial status is deceptive
- high-risk content lacks specialist review
- material limitations are hidden
- risk communication is inadequate
- AI has invented sources, proof or authority
- author or reviewer identity is misleading
- correction ownership is unclear for high-risk content
- human approval is missing
- the final version is unclear
Trust And Measurement
Possible trust-related signals may include:
- audience feedback
- complaint patterns
- correction requests
- support questions
- engagement
- return visits
- completion rates
- conversion
- refund patterns
- unsubscribe patterns
- review quality
- reputation signals
- compliance concerns
These signals do not independently prove trustworthiness.
A high conversion rate does not prove an asset is honest.
A low complaint rate does not prove an asset is accurate.
Data Brain retains measurement-integrity authority.
Experimentation Brain retains formal test-validity authority.
Trust And Testing
Trust-related elements may be tested where appropriate.
Possible variables include:
- disclosure placement
- explanation depth
- reviewer information
- source presentation
- limitation presentation
- CTA language
- comparison structure
Formal tests must not remove required trust or compliance elements merely to improve performance.
Experimentation Brain governs formal test validity.
Ads Brain governs paid-advertising deployment.
Testing is not mandatory for every trust element.
Human Review
Human review should confirm:
- trust classification is appropriate
- experience is genuine
- expertise is accurately represented
- authority signals are real
- facts are accurate
- evidence is sufficient
- vendor claims are distinguished
- disclosures are complete
- limitations are visible
- specialist review is complete
- correct versions are approved
- publication responsibility is clear
Human review must not become blind approval of persuasive or fluent content.
Publishing Readiness
Trust requirements form part of publishing readiness.
Before publication, confirm:
- correct approved version
- author information correct
- reviewer information correct
- facts verified
- claims controlled
- evidence checked
- disclosures present
- limitations present
- risks communicated
- specialist review complete
- human approval recorded
- correction owner identified where required
- destination suitable
Approved is not Publishing-Ready.
Publishing-Ready is not Published.
An authorised human must publish or deploy the asset.
Relationship To Content Brain Content Production System Framework
The Content Production System Framework defines how assets move through:
- production
- editing
- specialist review
- human approval
- publishing preparation
- lifecycle handoff
This Framework governs trust requirements within those stages.
Relationship To Content Brain Content Brief Template
The Content Brief Template should capture relevant:
- trust classification
- experience basis
- expertise requirements
- source requirements
- evidence requirements
- disclosure requirements
- limitation requirements
- specialist-review requirements
- correction ownership
Relationship To Content Brain Publishing Readiness Checklist
The Publishing Readiness Checklist verifies whether required trust controls are complete before publication.
Relationship To Content Brain AI Content Quality Governance Framework
AI-assisted content must not fabricate:
- experience
- expertise
- authority
- evidence
- testimonials
- reviews
- case studies
- endorsements
- trust signals
Relationship To Content Brain Information Gain Framework
Trust gain may provide meaningful information gain when it improves:
- transparency
- evidence
- limitations
- source quality
- decision support
- audience confidence
Trust gain must be genuine.
Relationship To Content Brain SEO Content Brief Standard
Search-led content may use E E A T controls where relevant.
E E A T requirements must not be reduced to a mechanical SEO checklist.
Relationship To Content Brain Editorial Consistency Framework
Editorial consistency should preserve approved:
- voice
- terminology
- claim language
- disclosures
- limitations
- trust positioning
Consistency must not preserve an identified factual error.
Relationship To Content Brain Affiliate Product Content Pack Framework
Affiliate packs must apply trust controls across:
- offer details
- reviews
- comparisons
- advertorials
- claims
- disclosures
- experience
- testimonials
- cross-asset consistency
Relationship To Content Brain Affiliate Product Content Pack Checklist
The Affiliate Product Content Pack Checklist verifies whether required pack-level trust controls have been completed.
Relationship To Content Brain Content Optimization Framework
Optimisation must not remove necessary trust elements for short-term performance gains.
Relationship To Content Brain Content Repurposing Framework
Repurposed content must preserve source integrity, evidence boundaries, disclosures and limitations.
Relationship To Content Brain Copy Map
This page is classified as:
Classification: Simplify Before Copy
Source Of Truth: MCR
Future Operational Use: Content Trust Planning And Review Module
Future Plugin Or UI: Possible E E A T And Trust Review Workspace
No plugin or UI implementation is authorised by this Framework.
Relationship To mwmscontentbrain.site
A simplified operational version may later support:
- trust classification
- experience basis
- expertise requirement
- source authority
- evidence quality
- vendor-claim status
- disclosures
- limitations
- author
- reviewer
- specialist review
- correction owner
- human approval
- trust decision
The operational version must not replace the MCR source.
Current Manual Operating Boundary
Content trust decisions remain human controlled.
Current restrictions:
- no autonomous trust approval
- no autonomous source approval
- no autonomous claim approval
- no autonomous specialist approval
- no autonomous compliance approval
- no autonomous testimonial creation
- no autonomous review creation presented as firsthand experience
- no autonomous author or credential assignment
- no autonomous correction of live content
- no autonomous publication
- no autonomous page retirement
- no active content queues
- no worker activation
- no AI Employee activation
- no Brain Room routing
- no automatic M handoff
- no interference with M’s Research Brain work
The presence of this Framework does not authorise automation.
Future Operational Direction
A future Content Brain trust workspace may support:
- trust classification
- experience record
- expertise requirement
- source list
- evidence status
- vendor-claim classification
- disclosure requirements
- limitation requirements
- author and reviewer details
- specialist-review status
- correction ownership
- update ownership
- human approval
- blockers
- trust decision
Manual use must prove the required fields and decisions before implementation.
Drift Protection
The system must prevent:
- E E A T being treated only as an SEO checklist
- trust being treated only as a conversion technique
- fabricated experience
- fabricated expertise
- false credentials
- fake authority
- fake endorsements
- fake awards
- fake media coverage
- unauthorised logos
- invented testimonials
- invented case studies
- AI-generated customers presented as real
- hypothetical examples presented as actual outcomes
- vendor claims presented as independent evidence
- paid endorsements presented as independent
- affiliate relationships being hidden
- deceptive advertorial presentation
- false editorial independence
- irrelevant credentials being used as proof
- specialist review being overstated
- review scope being misrepresented
- evidence certainty being exaggerated
- material limitations being hidden
- risk being minimised
- fear being exaggerated
- false urgency
- false scarcity
- unsupported guarantees
- high conversion being treated as proof of trust
- AI fluency being treated as evidence
- AI confidence being treated as authority
- content being published without human approval
- trust corrections not reaching related assets
- approval being treated as Publishing-Ready
- Publishing-Ready being treated as Published
- inactive queues being treated as operational
- premature plugin or UI development
- worker activation
- AI Employee activation
- Brain Room routing
- automatic M handoff
- interference with M’s Research Brain work
Architectural Intent
The Content Brain E E A T Content Trust Framework exists to ensure MWMS earns audience trust rather than simulating it.
It must help Content Brain determine:
- what experience is genuine
- what expertise is required
- what authority is relevant
- what sources are credible
- what evidence supports the claims
- what commercial relationships must be disclosed
- what limitations must be visible
- what risk must be communicated
- what specialist review is required
- who owns correction and updating
- whether the asset can reasonably be relied upon
The Framework must support trust across:
- websites
- articles
- reviews
- comparisons
- social content
- scripts
- advertising
- newsletters
- email sequences
- manuals
- guides
- documentation
- content packs
- refreshes
- repurposing
- localisation
- retirement
It must support current manual operation and later controlled implementation.
Future interfaces, workers and AI Employees must operate beneath this Framework.
They must not narrow or bypass it.
Final Rule
Content must not create the appearance of trust without the substance of trust.
Experience must be genuine.
Expertise must be relevant.
Authority must be real.
Evidence must support the claims.
Vendor claims must not be disguised as independent proof.
Affiliations must be disclosed where required.
Limitations must not be hidden.
Risk must be communicated honestly.
Testimonials and case studies must be genuine.
AI must not fabricate experience, authority, evidence or trust signals.
Before content moves into live use, Content Brain must be able to explain:
- who is responsible for the content
- what sources support it
- what experience is being claimed
- what expertise is required
- what authority is relevant
- what limitations apply
- what disclosures are required
- what specialist review occurred
- who approved the final version
- who owns correction where required
If the content cannot reasonably be relied upon for its intended purpose, it must not be published.
Humans retain final trust, approval, publication, correction and retirement control.
No premature automation.
No fabricated authority.
No autonomous trust approval.
No autonomous publication.
No worker activation.
No AI Employee activation.
No Brain Room routing.
No automatic M handoff.
No interference with M’s Research Brain work.
Change Log
v1.1 — 2026-06-15
Replaced the original SEO-and-conversion-centred E E A T framework with a complete multi-format content trust framework.
Expanded the Framework to define:
- genuine experience
- relevant expertise
- appropriate authority
- trustworthiness
- contextual trust requirements
- Standard, Elevated, High-Risk and Critical Trust classifications
- experience integrity
- hypothetical-example controls
- expertise integrity
- credential relevance
- authority integrity
- author identity
- reviewer identity
- contribution transparency
- source authority
- evidence quality
- vendor claims versus independent evidence
- claim classification
- claim validation
- certainty and qualification
- affiliate disclosure
- advertorial transparency
- review integrity
- comparison integrity
- testimonial integrity
- case-study integrity
- limitations
- risk communication
- persuasion boundaries
- trust-signal relevance
- authority-stacking boundaries
- correction ownership
- update responsibility
- content provenance
- version transparency
- AI-assisted trust controls
- synthetic-media controls
- high-risk content
- specialist-review triggers
- specialist-review scope
- asset-specific trust controls
- cross-asset consistency
- refresh controls
- repurposing controls
- localisation controls
- correction controls
- retirement controls
- trust review record
- human review
- publishing readiness
- current manual operating boundary
- future operational direction
- expanded drift protection
Removed:
- the broken content-reference artefact
- the narrow ranking-and-conversion framing
- the assumption that all assets require visible trust signals
- the universal requirement to test trust signals
- the incorrect universal routing of trust testing to Ads Brain
- the assumption that authority stacking is always beneficial
Clarified:
- E E A T is not merely an SEO checklist
- trustworthiness controls the other components
- experience must not be fabricated
- credentials must be relevant
- vendor claims must be distinguished from independent evidence
- reviewer scope must be accurately represented
- disclosures do not correct misleading content
- high-risk content requires stronger verification and review
- AI cannot fabricate or approve trust signals
- Experimentation Brain controls formal test validity
- Ads Brain controls paid-advertising deployment
- humans retain final approval and publication control
Aligned this Framework with:
- Content Brain Canon v1.1
- Content Brain Architecture v1.1
- Content Brain Operating Model v1.2
- Content Brain Workflow Map v1.2
- Content Brain Content Production System Framework v1.1
- Content Brain Content Brief Template v1.2
- Content Brain Publishing Readiness Checklist v1.1
- Content Brain AI Content Quality Governance Framework v1.1
- Content Brain Information Gain Framework v1.1
- Content Brain SEO Content Brief Standard v2.1
- Content Brain Affiliate Funnel Support Map v1.2
- Content Brain Affiliate Product Content Pack Framework v1.1
- Content Brain Affiliate Product Content Pack Checklist v1.1
- Content Brain Page Registry v3.1
- Content Brain Copy Map v2.6
v1.0 — 2026-04-26
Initial creation of the Content Brain E E A T Content Trust Framework.
Defined the original controls covering:
- experience
- expertise
- authority
- trustworthiness
- YMYL content
- claim validation
- honesty
- transparency
- trust signals
- authority stacking
- trust and conversion balance
- testing
Change Impact Declaration
Pages Created:
None
Pages Updated:
Content Brain E E A T Content Trust Framework
Pages Deprecated:
None
Registries Requiring Update:
Content Brain Page Registry should show Content Brain E E A T Content Trust Framework v1.1.
Content Brain Copy Map should show Content Brain E E A T Content Trust Framework v1.1 where a version is recorded.
MWMS Architecture Registry update is not required unless it records individual Content Brain framework versions.
Canon Version Update Required:
No
Automation Status Change:
No
Plugin Or UI Status Change:
No
Queue Status Change:
No active queues authorised
Worker Status Change:
No
AI Employee Status Change:
No
M Handoff Required:
No
Research Brain Impact:
None
END CONTENT BRAIN E E A T CONTENT TRUST FRAMEWORK v1.1