AI Marketing Consensus Index / Publication standards
How LLM Authority Index and CiteWorks Studio Contribute
AI Marketing Consensus Index does not operate in isolation. Two related businesses contribute substantially to the research and editorial infrastructure behind this publication: LLM Authority Index and CiteWorks Studio Their involvement is material. It is also relevant because both companies operate in markets that AI Marketing Consensus Index researches. That means either company may appear in our:
- AI recommendation studies
- Category rankings
- Company comparisons
- AI visibility research
- Citation research
- Market-intelligence studies
We believe readers should understand those relationships clearly. This page explains:
- What LLM Authority Index contributes
- What CiteWorks Studio contributes
- What Mark B. Huntley, J.D. contributes
- What none of them are permitted to control
- How related companies are handled when they appear in rankings
The Short Version
LLM Authority Index
Provides AI research data and measurement infrastructure. Its role may include:
- Multi-platform AI response collection
- Recommendation data
- Citation data
- Prompt-level measurement
- Competitive benchmarking
- Historical visibility data
- Research infrastructure
- Data organization and analysis
CiteWorks Studio
Provides AI search strategy and subject-matter support. Its role may include:
- GEO and AEO expertise
- AI search strategy
- Citation strategy
- Authority-building concepts
- Research taxonomy
- Research-question development
- Practical marketing interpretation
- AI visibility strategy
Mark B. Huntley, J.D.
Serves as AI Search & Visibility Research Reviewer where indicated. His role may include reviewing:
- Research interpretation
- GEO/AEO terminology
- Citation methodology
- Recommendation analysis
- Competitive intelligence
- AI visibility concepts
- Conclusions drawn from the data
Why We Disclose These Relationships
These relationships create an obvious potential conflict of interest. AI Marketing Consensus Index may publish research such as:
- Best GEO Agencies
- Best AI Visibility Platforms
- Best AI Citation Tools
- Best AI Search Audit Companies
- Best AI Market Intelligence Platforms
- Best AI Search Strategy Firms
CiteWorks Studio may naturally compete in some agency and service categories. LLM Authority Index may naturally compete in some platform, intelligence, citation, and visibility categories. At the same time, those companies contribute to the infrastructure and subject-matter expertise supporting this publication. We do not believe that relationship should be hidden behind a generic affiliate disclosure.
It should be stated plainly.
Our Relationship With LLM Authority Index
LLM Authority Index contributes to the data and measurement side of AI Marketing Consensus Index. Its role may include supporting the systems used to collect, structure, measure, and analyze AI responses. Depending on the research project, that can include:
- Prompt execution
- AI response capture
- Recommendation extraction
- Citation extraction
- Company normalization
- Prompt-level metrics
- Competitive comparison
- Historical research
- Dataset construction
- Research reporting
The exact contribution may vary by study.
LLM Authority Index Is More Than a Vendor Relationship
LLM Authority Index operates in the same broader AI visibility and market-intelligence ecosystem that AI Marketing Consensus Index studies. That means it can potentially be both: a research infrastructure contributor and: a company appearing within the research. That dual role requires special controls.
LLM Authority Index Does Not Receive Extra Ranking Credit
Providing research infrastructure does not create:
- An AI recommendation
- Additional recommendation coverage
- Better recommendation position
- Bonus Consensus Score
- Automatic inclusion
- A guaranteed category ranking
If six AI platforms recommend a competitor and only two recommend LLM Authority Index: the research result remains: Competitor — 6 recommendations LLM Authority Index — 2 recommendations Its contribution to the research infrastructure does not change that outcome.
LLM Authority Index Can Receive Zero Recommendations
A related company does not need to appear. If the AI platforms do not naturally recommend LLM Authority Index in an open research study: 0 recommendations is a valid result. We do not insert it after the fact because of its relationship with the project.
LLM Authority Index Can Rank Below Competitors
Competitors may legitimately:
- Rank above LLM Authority Index
- Receive more recommendation coverage
- Receive stronger recommendation placement
- Lead a category
- Gain recommendation share over time
Those outcomes should remain visible.
LLM Authority Index Can Also Rank First
The relationship works both ways. If LLM Authority Index independently receives the strongest recommendation coverage under the published methodology, it can rank first. The existence of a relationship does not require us to artificially suppress a legitimate result. Instead, the result should be accompanied by a clear related-company disclosure.
Our Relationship With CiteWorks Studio
CiteWorks Studio contributes primarily to the strategy and subject-matter side of AI Marketing Consensus Index. Its role may include helping us understand and structure questions involving:
- AI Search Optimization
- Generative Engine Optimization
- Answer Engine Optimization
- AI visibility
- Recommendation visibility
- Citation visibility
- Citation architecture
- Source authority
- Competitive AI search analysis
- Content strategy
- AI search market intelligence
CiteWorks Studio May Help Define Better Research Questions
Good consensus research depends heavily on asking the right question. For example:
What is the best AI marketing company?
is too broad to produce especially useful research. A more useful prompt might ask:
A mid-market B2B company wants an agency that can measure its visibility across multiple AI platforms, identify competitor recommendation gaps, analyze citation sources, and implement a GEO strategy. Which agencies would you recommend?
CiteWorks Studio may contribute practical subject-matter knowledge that helps make research prompts more realistic and commercially meaningful.
Research-Question Input Does Not Mean Selecting the Winner
CiteWorks Studio may help identify:
- Common buyer needs
- Useful distinctions between services
- Relevant features
- Important marketing scenarios
- Questions worth researching
It does not get to determine:
- Which companies the AI systems recommend
- How many AI votes a company receives
- Which competitor is excluded
- Which company ranks first
CiteWorks Studio Is Not Seeded Into Ordinary Open Prompts
For standard open recommendation studies, we do not ordinarily insert: CiteWorks Studio into the prompt simply because it is related to this publication. We also do not ordinarily insert competitors. The prompt should remain open. For example:
Which GEO agencies would you recommend for this situation?
rather than:
Which is better: CiteWorks Studio, Agency A, Agency B, or Agency C?
The purpose is to see which companies the AI platforms surface naturally.
CiteWorks Studio Can Rank Poorly
If the research produces: Agency A — 7 of 7 Agency B — 5 of 7 CiteWorks Studio — 2 of 7 the result remains: 2 of 7. CiteWorks Studio's contribution to the project does not change the recommendation count.
CiteWorks Studio Can Fail to Appear
If no AI platform recommends CiteWorks Studio for a specific use case, we do not add it manually. Its absence is itself information about the recommendation environment at that time.
CiteWorks Studio Can Rank First
If the AI platforms independently recommend CiteWorks Studio more frequently than its competitors, it may rank first. When that happens, readers should see: the research result and: the relationship disclosure together.
The Difference Between Research Infrastructure and Strategy Input
The roles of the two related companies are intentionally different.
LLM Authority Index
Primarily supports: measurement and research data
CiteWorks Studio
Primarily supports: strategy and subject-matter context This distinction helps clarify where different forms of contribution enter the process.
Neither Company Controls the Final Research Result
Neither LLM Authority Index nor CiteWorks Studio should have the authority to change:
- Raw AI responses
- Recorded recommendations
- Recommendation counts
- Recommendation positions
- Consensus Score calculations
- Competitor inclusion
- Historical research
- Published ranking math
Those outputs should be controlled by the underlying research methodology.
Mark B. Huntley's Role
Mark B. Huntley, J.D. serves as: AI Search & Visibility Research Reviewer where indicated. Mark also has financial and operational interests associated with:
- LLM Authority Index
- CiteWorks Studio
That creates an additional potential conflict of interest. We disclose it.
What Mark Reviews
Mark may review research for issues such as:
- GEO/AEO terminology
- AI visibility terminology
- Recommendation interpretation
- Citation methodology
- Platform distinctions
- Competitive analysis
- AI search strategy
- Market-intelligence interpretation
- Unsupported conclusions
- Confusion between recommendations, mentions, and citations
His role is to help interpret the research accurately.
What Mark Cannot Change
Mark cannot manually increase:
- CiteWorks Studio's recommendation count
- LLM Authority Index's recommendation count
- A related company's ranking
- A related company's Consensus Score
He also cannot reduce a competitor's recorded recommendation count merely because that company competes with one of his businesses.
Human Review Occurs After the Data Is Recorded
The preferred workflow is: Define research question
Run research across AI platforms
Capture raw responses
Extract recommendations
Calculate ranking metrics
Verify material facts
Conduct editorial review
Publish This sequencing is important. Editorial review should not be able to retroactively manufacture a different research result.
The Database Determines the Research Result
Our core principle is: The underlying research data determines who was recommended. Editorial review determines: how responsibly we explain the result. Those are different functions.
Related Companies Are Subject to the Same Rules
When CiteWorks Studio or LLM Authority Index appears in research, we apply the same basic methodology used for unrelated companies. That includes:
- Same recommendation definition
- Same platform weighting
- Same qualification thresholds
- Same ranking calculations
- Same entity-normalization rules
- Same fact-verification expectations
- Same correction policies
We Do Not Create Special Prompts to Make Related Companies Win
Ordinary research prompts should not be engineered around proprietary wording that artificially favors CiteWorks Studio or LLM Authority Index. For example, if only one company happens to use a highly unusual marketing phrase, we should not write a generic category prompt around that exact branded phrase merely to increase the likelihood that the company surfaces.
Research scenarios should reflect genuine market needs.
Named-Company Studies Are Different
There are legitimate reasons to conduct explicit comparison research. For example: LLM Authority Index vs. Profound or: CiteWorks Studio vs. another GEO agency If a study explicitly names the companies being compared, that should be obvious to the reader. Such a study should not be confused with an open recommendation study.
Related Company Labels
When either related business appears in a ranking, we recommend a visible label such as: Related Company or: Business Relationship Disclosure The disclosure should link to this page or our broader: Related Business & Conflict of Interest Disclosure Readers should not need to search the footer to discover the relationship.
Research Pages Should Carry a Short Disclosure
When CiteWorks Studio or LLM Authority Index appears in a research article, use a short disclosure near the relevant ranking. Recommended language:
Related Business Disclosure: AI Marketing Consensus Index has business relationships with LLM Authority Index and CiteWorks Studio. Mark B. Huntley, J.D., our Research Reviewer, also has financial and operational interests associated with these companies. These relationships do not alter recorded AI responses, recommendation counts, ranking calculations, or competitor inclusion.
Why We Do Not Hide the Conflict
A potential conflict does not disappear because it is omitted from the page. The more useful approach is to make the relationship visible and make the methodology testable. Readers should be able to see:
- What the AI systems recommended
- How many recommended each company
- How rankings were calculated
- When the research was performed
- When related companies appear
- Whether competitors outranked them
Transparency makes the potential conflict easier to evaluate.
Poor Performance Should Remain Published
One of the clearest tests of independence is what happens when a related company performs poorly. If LLM Authority Index or CiteWorks Studio:
- Loses recommendation share
- Falls in ranking
- Fails to appear
- Receives negative AI commentary
- Is surpassed by competitors
that result should not be removed merely because it is commercially inconvenient.
Historical Results Should Not Be Rewritten
Suppose:
January
LLM Authority Index — 2 of 7
April
LLM Authority Index — 5 of 7
July
LLM Authority Index — 6 of 7 The January result should not be deleted because later results improved. Likewise, if performance declines later, earlier stronger results should not be used to hide the decline. Historical movement is part of the research value.
Commercial Relationships Do Not Create Corrections
A related company may believe a ranking is unfavorable. That does not make it inaccurate. Corrections should be based on identifiable issues such as:
- Miscounted recommendations
- Incorrect entity normalization
- Wrong recommendation position
- Incorrect product facts
- Calculation errors
Commercial preference is not a correction criterion.
Related Companies Can Submit Corrections
CiteWorks Studio and LLM Authority Index may point out factual errors just like any other company. Those correction requests should be evaluated under the same evidence standards applied to competitors.
Competitors Receive the Same Correction Rights
Competing companies do not need to:
- Advertise with us
- Become an affiliate
- Purchase data
- Work with CiteWorks Studio
- Work with LLM Authority Index
to request correction of a factual error.
Data Licensing Does Not Change Rankings
LLM Authority Index, CiteWorks Studio, or outside companies may potentially use or license research data. Commercial use of the research does not provide control over the underlying rankings.
Affiliate Relationships Are Separate
AI Marketing Consensus Index may also have affiliate or referral relationships with:
- Software platforms
- Agencies
- Marketing tools
- Related services
Those commercial relationships are separate from the roles described on this page. Affiliate compensation does not add recommendation votes.
Advertising Relationships Are Separate
A company may advertise on AI Marketing Consensus Index. Advertising does not provide:
- Better research placement
- Additional recommendation credit
- Competitor exclusion
- Higher category ranking
Paid placement must remain visually distinguishable from earned research results.
Why We Use Related Expertise at All
The obvious question is:
Why involve companies that create a potential conflict?
Because they also provide relevant infrastructure and expertise. LLM Authority Index is built around measuring AI recommendation and citation behavior. CiteWorks Studio operates directly in AI search strategy, GEO, citation strategy, and visibility work. Those capabilities can help produce better:
- Research questions
- Data infrastructure
- Market taxonomy
- Interpretation
- Measurement
The answer is not to pretend that expertise has no value. The answer is to use it while disclosing the relationship and preventing it from controlling the result.
The Research Remains Open to Competitors
AI Marketing Consensus Index exists to study a market. It would lose much of its value if related companies were protected from competition. Therefore competing:
- Agencies
- Platforms
- Tools
- Research companies
- Software providers
remain eligible to appear and rank.
What LLM Authority Index Does Not Do
LLM Authority Index does not automatically:
- Choose the winner
- Increase its own votes
- Remove competitors
- Guarantee itself a ranking
- Rewrite AI responses
- Control editorial conclusions
What CiteWorks Studio Does Not Do
CiteWorks Studio does not automatically:
- Determine which agencies qualify
- Give itself bonus ranking points
- Remove agency competitors
- Rewrite recommendation counts
- Convert strategic opinion into AI consensus
- Guarantee favorable coverage
What Mark Huntley Does Not Do
Mark does not:
- Cast an additional AI vote
- Replace recorded data with personal preference
- Guarantee related companies win
- Remove competitors for commercial reasons
- Convert review comments into research metrics
Three Separate Layers
A useful way to understand the project is:
Research Layer
Supported by LLM Authority Index Measures:
- AI responses
- Recommendations
- Citations
- Competitive visibility
- Historical changes
Strategy & Subject-Matter Layer
Supported by CiteWorks Studio Helps interpret:
- GEO
- AEO
- AI search
- Citation strategy
- Authority
- Buyer use cases
Editorial Review Layer
Supported by Mark B. Huntley, J.D. Reviews:
- Interpretation
- Terminology
- Conclusions
- Methodological context
The final ranking remains tied to: the underlying research data.
Our Preferred Attribution
The site footer should include: 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.
Recommended Expanded Footer Disclosure
Where space permits:
Transparency: AI Marketing Consensus Index receives AI research data and measurement infrastructure support from LLM Authority Index and AI search strategy and subject-matter support from CiteWorks Studio. Mark B. Huntley, J.D., our Research Reviewer, has financial and operational interests associated with both businesses. These relationships do not alter raw AI responses, recommendation counts, ranking calculations, competitor inclusion, or historical research.
Our Contribution Policy in One Sentence
LLM Authority Index helps provide the measurement infrastructure, CiteWorks Studio helps provide AI search subject-matter context, and Mark B. Huntley, J.D. helps review interpretation—but the underlying AI recommendation data determines the research result.
Related Pages
Related Business & Conflict of Interest Disclosure →
About AI Marketing Consensus Index →
Advertising & Sponsorship Disclosure →
Transparency Statement
AI Marketing Consensus Index researches markets in which LLM Authority Index and CiteWorks Studio may have commercial interests. We do not consider that fact insignificant. We consider it something readers should know. Our approach is therefore: Disclose the relationship. Keep the research record separate from editorial preference. Apply the same ranking rules to related companies and competitors.
Allow related companies to win when the data supports it. Allow related companies to lose when the data supports it. Preserve the historical record either way.