Editorial Independence

AI Marketing Consensus Index is a commercial research publication. We may earn revenue through:

• Affiliate relationships
• Referrals
• Advertising
• Sponsorships
• Data licensing
• Research services
• Related businesses

We also have disclosed relationships with LLM Authority Index and CiteWorks Studio, companies operating in markets that AI Marketing Consensus Index may research. These relationships create potential conflicts of interest. We do not pretend otherwise. Our editorial independence policy is designed around a simple principle:

Commercial relationships may affect how this publication makes money. They may not determine what the underlying research says.

The AI platforms determine their recommendations. Our research system records those recommendations. Our ranking methodology calculates the results. Editorial review explains and contextualizes them. Commercial interests should not rewrite them.

Research Comes Before Commercial Treatment

Our preferred workflow is: Define the research question

Submit the standardized prompt

Collect responses from multiple AI platforms

Extract meaningful recommendations

Normalize company and product entities

Calculate recommendation coverage and ranking

Verify material company information

Perform editorial review

Publish

Apply commercial links or relationships where appropriate The commercial layer comes after the research layer.

We Do Not Choose the Winner Before Running the Study

A study should not begin with:

Which company do we want to rank first?

It should begin with:

What marketing problem are we trying to research?

For example:

A mid-market SaaS company wants a specialized agency to improve recommendation visibility across ChatGPT, Gemini, Perplexity, and other AI systems. Which agencies would you recommend and why?

The AI platforms are free to recommend:

• Related companies
• Competitors
• Large established companies
• Small specialists
• Companies with no financial relationship to us

We record what they actually recommend.

Companies Cannot Buy AI Recommendations

No company can pay AI Marketing Consensus Index to receive:

• An additional AI recommendation
• Higher recommendation coverage
• A better average recommendation position
• A higher Consensus Score
• Automatic inclusion in a study
• Preferential qualification for full analysis
• A category leadership position

If a company receives: 3 recommendations from 7 AI platforms a commercial agreement cannot turn that into: 6 of 7.

Companies Cannot Buy the #1 Ranking

If Company A receives the strongest recommendation consensus, it should rank first under the published methodology. That remains true if Company A:

• Is not an affiliate
• Does not advertise
• Does not purchase data
• Has never communicated with us
• Competes directly with one of our related businesses

Likewise, a company that pays us cannot simply be moved above Company A.

Non-Commercial Companies Can Rank First

A company does not need a financial relationship with AI Marketing Consensus Index to appear or rank highly. A company with no commercial relationship may:

• Rank #1 in a study
• Lead an entire category
• Receive extensive analysis
• Outperform an advertiser
• Outperform an affiliate
• Outperform CiteWorks Studio
• Outperform LLM Authority Index

That is an expected consequence of independent research.

Commercial Partners Can Rank Poorly

A company with a commercial relationship may:

• Rank below non-commercial competitors
• Receive weak AI consensus
• Appear in very few studies
• Fail to qualify for full analysis
• Receive critical commentary
• Lose ranking position in later research

Commercial value does not create research performance.

Our Related Businesses Require Additional Disclosure

AI Marketing Consensus Index has particularly important relationships with:

LLM Authority Index

and:

CiteWorks Studio

These relationships are more significant than a normal affiliate relationship because the companies may contribute to the operation or subject-matter development of AI Marketing Consensus Index while also operating in markets we research. That creates a potential conflict. Our policy is to disclose that conflict directly rather than hide it.

LLM Authority Index Provides Research Data and Measurement Infrastructure

LLM Authority Index provides AI research data and measurement infrastructure supporting AI Marketing Consensus Index. Its contribution may include support involving:

• AI response collection
• Recommendation data
• Citation data
• Prompt-level measurement
• Competitive analysis
• Historical visibility data
• Research infrastructure
• Data processing

LLM Authority Index may also be an appropriate candidate in studies involving:

• AI visibility platforms
• LLM monitoring
• AI citation tracking
• Competitive intelligence
• AI market intelligence
• Recommendation tracking

Because of that overlap, its contribution to our research infrastructure does not give it additional ranking credit.

LLM Authority Index Must Earn Its Research Position

If a study asks:

Which AI visibility platforms would you recommend for an enterprise company?

and the results are: Competitor A — 6 of 7 Competitor B — 5 of 7 LLM Authority Index — 2 of 7 then the research result is: 2 of 7 for LLM Authority Index. We do not increase that number because LLM Authority Index helps provide research infrastructure.

LLM Authority Index Can Fail to Appear

If none of the AI systems independently recommends LLM Authority Index in an open recommendation study, then it receives: 0 recommendation votes. We do not add it manually simply because it is a related company.

CiteWorks Studio Provides AI Search Strategy and Subject-Matter Support

CiteWorks Studio provides AI search strategy and subject-matter support to AI Marketing Consensus Index. Its contribution may include:

• AI search strategy
• GEO and AEO concepts
• Research taxonomy development
• Research-question design input
• Citation strategy
• Authority-building concepts
• Practical AI marketing context
• Interpretation of AI visibility problems

CiteWorks Studio may also appear naturally in studies involving:

• GEO agencies
• AI search optimization agencies
• AI citation strategy
• AI visibility audits
• AI search strategy
• AI authority building
• Competitive AI search analysis

Its involvement with this publication does not entitle it to a stronger research result.

CiteWorks Studio Must Earn Its Research Position

Suppose a study produces: Agency A — 7 of 7 Agency B — 5 of 7 CiteWorks Studio — 4 of 7 CiteWorks Studio remains: 4 of 7. Its relationship with AI Marketing Consensus Index cannot turn four independent AI recommendations into seven.

CiteWorks Studio Can Rank Below Competitors

CiteWorks Studio may:

• Rank below another GEO agency
• Fail to qualify for full analysis
• Receive fewer recommendations than a competitor
• Perform strongly in one scenario and poorly in another
• Lose recommendation share over time

Those outcomes should remain visible.

Related Companies Can Also Rank First

The opposite is equally important. If the research independently shows: CiteWorks Studio — 6 of 7 or: LLM Authority Index — 7 of 7 we may publish that result. A relationship does not automatically invalidate genuine research performance. It creates a disclosure obligation.

Related Companies Should Be Clearly Identified

Where CiteWorks Studio or LLM Authority Index appears in a ranking, we should identify the relationship clearly. Suggested label: Related Company with a link to: Related Business & Conflict of Interest Disclosure

Article-Level Related Business Disclosure

Where a related company appears in a study, we recommend a prominent disclosure such as:

Related Business Disclosure: AI Marketing Consensus Index has financial and operational relationships with CiteWorks Studio and LLM Authority Index. These relationships do not influence the AI responses collected, recommendation counts, ranking calculations, or inclusion of competing companies. Related companies are evaluated using the same underlying research methodology applied to other companies in this study.

This disclosure should not be hidden solely in the footer.

Related Companies Should Not Be Seeded Into Ordinary Open Research

For standard open recommendation studies, prompts should generally not name:

• CiteWorks Studio
• LLM Authority Index
• Their competitors

The research question should normally remain open. For example:

Which AI search optimization agencies would you recommend for this situation?

rather than:

Which is better: CiteWorks Studio, Agency A, Agency B, or Agency C?

This allows the AI systems to reveal which companies they naturally surface.

Named-Company Comparisons Are Different

There may be legitimate research specifically comparing named companies. For example: Company A vs. Company B for enterprise AI visibility monitoring. That is a different research design. Such studies should be clearly identified as: named-company comparisons rather than open recommendation studies.

We Do Not Remove Competitors to Protect Related Businesses

If an AI platform recommends a competitor of:

• CiteWorks Studio
• LLM Authority Index
• An affiliate partner
• An advertiser

that competitor remains part of the research. We do not remove legitimate companies merely because they compete with a related business.

We Do Not Penalize Competitors

Editorial independence also means we should not:

• Emphasize competitor weaknesses unfairly
• Apply stricter verification only to competitors
• Highlight every criticism of a competitor while hiding similar issues involving related companies
• Use inflammatory language because a company competes with one of our businesses

Related and unrelated companies should be evaluated using comparable editorial standards.

We Do Not Punish Companies That Decline Commercial Relationships

A company should not receive worse editorial treatment because it:

• Declines an affiliate relationship
• Refuses to advertise
• Does not purchase data
• Rejects a sponsorship proposal
• Ends a commercial relationship
• Competes aggressively with one of our businesses

Commercial disagreements should not become research inputs.

Editorial Independence Works Both Ways

Independence does not mean: related companies must always rank poorly to prove we are independent. That would also manipulate the data. We should neither favor nor punish related companies. The objective is: publish the result the methodology produces.

Mark B. Huntley's Role Requires Disclosure

Mark B. Huntley, J.D. serves as: AI Search & Visibility Research Reviewer Mark also has financial and operational interests associated with:

• CiteWorks Studio
• LLM Authority Index

That potential conflict should be disclosed.

Mark Does Not Control AI Recommendation Counts

Mark may review:

• AI marketing terminology
• Research interpretation
• Citation analysis
• Recommendation analysis
• GEO/AEO concepts
• Competitive intelligence
• Whether conclusions are supported by the underlying research

He does not manually change:

• Recommendation counts
• Recommendation coverage
• Average recommendation position
• Consensus Score
• Historical AI responses

because a result is commercially inconvenient.

Mark Can Challenge the Interpretation

Suppose: Competitor A — 6 of 7 CiteWorks Studio — 4 of 7 Those recommendation counts remain unchanged. Mark may still identify problems such as:

• A competitor being described inaccurately
• AI systems confusing citations with recommendations
• An outdated feature claim
• A misleading GEO definition
• An unsupported conclusion
• A methodological limitation

Those issues can be addressed editorially without changing the underlying vote count.

Reviewer Attribution Must Reflect Actual Review

A page should display: Reviewed by Mark B. Huntley, J.D. only when Mark actually completed the review process. Reviewer attribution should not automatically appear because Mark is associated with the publication.

Reviewer Dates Must Be Meaningful

A new reviewer date should reflect meaningful review. It should not automatically change because:

• An affiliate link changed
• Formatting changed
• A typo was corrected
• A template was updated

AI Research Data and Editorial Judgment Are Separate

Our research produces measurable outputs such as:

• Recommendation count
• Recommendation coverage
• Recommendation position
• Study rank
• Category performance

Editorial analysis explains what those measurements mean. The editorial layer should not quietly rewrite the research layer.

Verification Is Separate From Recommendation Data

AI systems can recommend companies based on incorrect information. For example: Six AI systems may recommend Company A because they believe it tracks a particular platform. Current verification may show that it does not. The recommendation count remains: 6 of 7. The editorial analysis should then disclose the discrepancy.

Verification Can Challenge a Strong Consensus Result

A study may legitimately conclude: Company A received the strongest AI recommendation consensus, but several of the reasons cited by the AI systems were not supported by our current verification. That is an important research finding. Strong consensus does not require favorable editorial interpretation.

Affiliate Relationships Do Not Affect Rankings

AI Marketing Consensus Index may participate in affiliate programs. Affiliate status does not affect:

• Whether a company appears
• Recommendation count
• Recommendation coverage
• Recommendation position
• Consensus Score
• Category ranking
• Editorial criticism

Higher Commission Does Not Mean Higher Rank

Some commercial relationships may be more valuable than others. A company offering a higher:

• Commission
• Referral fee
• Lead payment
• Revenue share

does not receive additional ranking credit. The ranking formula does not include affiliate economics.

Affiliate Availability Is Not a Qualification Requirement

A company without an affiliate program can qualify for:

• Full analysis
• Category ranking
• #1 ranking
• Site-wide visibility

if the underlying research supports it.

Advertising Is Separate From Earned Rankings

AI Marketing Consensus Index may accept advertising. Paid placement should be clearly labeled using terms such as:

• Advertisement
• Sponsored
• Paid Placement
• Sponsored Content

Advertising should not be disguised as an earned consensus ranking.

Advertisers Cannot Purchase Research Position

An advertiser cannot buy:

• #1 placement in an earned ranking
• Additional recommendations
• A higher Consensus Score
• Competitor removal
• Favorable historical treatment

Advertising and research should remain distinct.

Sponsored Research May Define the Question — Not the Answer

A company may potentially sponsor a research project. For example: Study enterprise AI visibility platforms. A sponsor may help define:

• Topic
• Market segment
• Research scope

It may not purchase:

• Recommendation counts
• Ranking result
• Consensus winner
• Historical alteration

Sponsored research should be disclosed prominently.

Data Licensing Does Not Buy Editorial Influence

AI Marketing Consensus Index may license:

• Research datasets
• Historical recommendation data
• Citation data
• Rankings
• Market intelligence
• Benchmarking

A company that licenses data does not gain the ability to change the underlying dataset.

Customers Do Not Control Our Historical Research

If a company purchases:

• Data
• Research
• Advertising
• Consulting
• Affiliate placement

it does not gain the right to require removal of accurate historical findings.

Commercial Value Can Influence Topic Selection

We are a commercial publication. We may choose to research topics because they have:

• Strong market demand
• High buyer intent
• Commercial potential
• Affiliate opportunities
• Lead-generation opportunities
• Strategic relevance

For example, we may prioritize: Best AI Visibility Platforms for Enterprise Companies because enterprise AI visibility is commercially important. That is acceptable.

Commercial Value Cannot Determine the Winner

The commercial value of the topic can influence: what we research. It should not influence: who wins the research. That separation is central to our editorial independence.

Research Questions Should Be Neutral

Open recommendation prompts should be designed to avoid unnecessarily favoring:

• Related companies
• Affiliates
• Advertisers
• Large brands
• Specific business models

The scenario should define the user's actual need.

We Do Not Design Prompts to Manufacture Related-Company Recommendations

It would be inappropriate to create a generic study prompt specifically engineered so that only CiteWorks Studio or LLM Authority Index fits the criteria. Research scenarios should represent legitimate buyer needs.

Highly Specific Research Can Still Be Legitimate

A narrow scenario is not automatically biased. For example: An enterprise company wants prompt-level recommendation tracking, citation analysis, historical competitor benchmarking, and executive reporting across multiple AI platforms. That may naturally favor certain products. The important question is:

Does this represent a legitimate market need?

not:

Does it happen to fit one company?

Research Data Should Be Preserved

Raw AI responses should be retained where practical. That allows us to audit:

• Recommendation extraction
• Entity normalization
• Recommendation position
• Ranking calculations
• Historical changes

The preservation of raw research is an important safeguard against editorial manipulation.

Structured Ranking Data Should Not Be Manually Rewritten

Fields such as:

• Recommendation count
• Coverage percentage
• Average position
• Consensus Score

should be generated from structured research data wherever practical. Editorial writers should not manually replace those values.

Corrections Are Open to Everyone

Any company may submit evidence of a factual or research-processing error. They do not need to:

• Advertise
• Become an affiliate
• Purchase research
• Pay a correction fee

to request review.

Paying Does Not Make Something a Correction

A commercial partner cannot simply declare an unfavorable result incorrect. Corrections require evidence of an actual error. Examples include:

• Incorrect recommendation count
• Incorrect company identification
• Incorrect feature description
• Wrong ranking calculation
• Data-processing error

Disagreement Is Not Necessarily an Error

A company may disagree with:

• The AI systems
• Its ranking
• Our interpretation
• Competitor inclusion
• The research question

That disagreement does not automatically establish that the published research is incorrect.

Related Companies Receive the Same Correction Standard

CiteWorks Studio and LLM Authority Index should not receive an easier correction process because of their relationship with this publication. Likewise, they should not be held to an artificially higher standard merely to create an appearance of independence. Corrections should depend on evidence.

Historical Results Should Not Be Rewritten for Commercial Reasons

Suppose LLM Authority Index ranks: #8 in January and: #2 in July. The January result should not be deleted because the newer result is more commercially attractive. Historical movement is part of the research.

Ending a Relationship Does Not Change Historical Rankings

If AI Marketing Consensus Index ends a commercial relationship with a company, that should not alter prior research. Likewise, if we begin a new relationship, old rankings should not be rewritten.

Methodology Should Be Applied Consistently

Material methodology rules should apply equally to:

• Related companies
• Competitors
• Affiliates
• Non-affiliates
• Advertisers
• Non-advertisers

Exceptions should be documented rather than silently applied.

Methodology Changes Should Be Versioned

If our methodology materially changes, we should document the change. Examples include changing:

• Platform set
• Recommendation extraction rules
• Qualification requirements
• Ranking calculations
• Category aggregation

Historical studies should remain associated with the methodology used at the time where practical.

Different Business Types Should Not Be Artificially Equated

AI marketing research may include:

• Agencies
• SaaS platforms
• Data providers
• Research firms
• Consulting companies
• Content optimization tools

These entities may solve different problems. Editorial independence requires representing those differences accurately rather than forcing a related company into a category where it does not belong.

CiteWorks Studio and LLM Authority Index Should Not Be Treated as the Same Product

Their relationships with this project overlap, but their functions differ. In broad terms:

LLM Authority Index

Contributes: AI research data and measurement infrastructure

CiteWorks Studio

Contributes: AI search strategy and subject-matter support They should not automatically share:

• Recommendations
• Ranking credit
• Category placement

because they are related.

Related Businesses May Compete in Different Research Categories

A particular research question may legitimately fit:

• CiteWorks Studio
• LLM Authority Index
• Both
• Neither

That outcome should depend on the study.

Our Footer Discloses These Relationships

AI Marketing Consensus Index should include persistent footer attribution such as: AI research data and measurement infrastructure provided by LLM Authority Index. AI search strategy and subject-matter support provided by CiteWorks Studio. Research reviewed by Mark B. Huntley, J.D., where indicated. The footer should also link directly to: Related Business & Conflict of Interest Disclosure

We Prefer Transparency Over the Appearance of Neutrality

The existence of a financial relationship does not disappear because it is omitted from a webpage. We believe readers are better served when relationships are visible. That allows users to evaluate the research with full knowledge of:

• Who contributes to the project
• Who reviews the research
• Which related companies may benefit commercially
• What safeguards separate those interests from ranking calculations

Independence Does Not Mean No Commercial Interests

AI Marketing Consensus Index is not claiming to be:

• A nonprofit
• An academic institution
• A government research organization
• A publication without commercial interests

Editorial independence means: commercial interests do not purchase or rewrite the research result.

Our Independence Test

A useful test is:

Would we publish the result if a competitor outranked a related company?

The answer should be: Yes. Another test:

Would we publish a study in which CiteWorks Studio or LLM Authority Index received zero recommendations?

The answer should also be: Yes. And:

Would we publish a related company at #1 if the underlying research legitimately supported it?

Again: Yes — with prominent disclosure.

Our Editorial Independence Principle

Our editorial independence policy can be summarized in one sentence: AI Marketing Consensus Index may have commercial and related-business interests, but those interests do not buy AI recommendations, change recommendation counts, alter ranking calculations, remove competitors, suppress unfavorable historical results, or override the underlying research dataset.

Related Business Disclosure

Because transparency is particularly important on this property: Mark B. Huntley, J.D. has financial and operational interests associated with LLM Authority Index and CiteWorks Studio and serves as AI Search & Visibility Research Reviewer for AI Marketing Consensus Index. LLM Authority Index provides AI research data and measurement infrastructure.

CiteWorks Studio provides AI search strategy and subject-matter support. Both companies may appear in markets researched by AI Marketing Consensus Index. Their involvement does not change:

• AI responses
• Recommendation counts
• Recommendation coverage
• Recommendation position
• Consensus Score
• Competitor inclusion
• Historical research

Read the Full Related Business & Conflict of Interest Disclosure →

Related Policies

How We Rank →

Research Methodology →

Editorial Standards →

Human Review Policy →

Related Business & Conflict of Interest Disclosure →

How LLM Authority Index and CiteWorks Studio Contribute →

Affiliate Disclosure →

Advertising & Sponsorship Disclosure →

Data Licensing & Research Use →

Corrections & Updates →

Commercial and related-business relationships do not influence the underlying AI recommendation data or ranking calculations.

Related business disclosure · Research methodology