Method

Authority is built as a system.

The Authority Architecture System is a six-layer method for turning fragmented digital signals into a coherent, measurable and defensible authority footprint. Each layer has defined inputs, actions, outputs and measurements.

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The Authority Architecture System is the method Mohammed Teto uses to strengthen how a leader or an organization is discovered, understood and cited by search engines and AI systems. It proceeds in six layers: Perception Intelligence, Narrative Positioning, Entity Foundation, Evidence and Source Authority, AI Search Optimization, and Monitoring and Governance. The system improves the information these systems draw on. It does not control what a model writes.

By Mohammed Teto · Published 7 October 2026 · Updated 4 October 2026

The six layers at a glance

Layer	Question it answers	Main output
1. Perception Intelligence	How are you described today, and by which sources?	A dated baseline
2. Narrative Positioning	What can you credibly be known for?	A positioning and vocabulary
3. Entity Foundation	Is your identity unambiguous everywhere?	Aligned profiles and structured data
4. Evidence and Source Authority	What proves it, and who else says so?	Proof assets and a source map
5. AI Search Optimization	Can systems find, extract and cite it?	Technical and editorial implementation
6. Monitoring and Governance	Is it kept current over time?	Tracking and an update cadence

The order matters. Optimizing content before the narrative and the entity are settled amplifies whatever inconsistency already exists.

Perception Intelligence

Establish a baseline across search, AI answers, sources, competitors and narrative gaps.

Inputs: names and variants, roles, organizations, markets, languages, the competitors or peers that matter, and the questions your audience actually asks.
Actions: run a defined prompt set on each AI engine, review search results for name and category queries, inventory every source that describes the entity, and note where descriptions diverge.
Outputs: a baseline report with the prompts used, the answers obtained, the sources cited and the gaps between how the entity is described and how it should be.
Measured by: presence across prompts, accuracy of descriptions, quality of cited sources, and how the entity is named next to the agreed comparison set (a diagnostic reading, not a statistical share of voice).

Narrative Positioning

Define the role, category, vocabulary, claims and point of view that the entity can credibly own.

Inputs: the baseline, the entity's real record, its ambitions, and the constraints that apply (legal, regulatory, confidentiality).
Actions: choose the category and the terms to be associated with the entity, write the claims it can substantiate, and remove the ones it cannot.
Outputs: a positioning statement, a controlled vocabulary, a reference biography or company description in several lengths, and a list of claims with their supporting evidence.
Measured by: whether the same description appears on owned channels, and later, how closely AI answers match it.

Entity Foundation

Align names, profiles, biographies, structured data, relationships and canonical sources.

Inputs: the approved narrative and the inventory of existing profiles and pages.
Actions: designate one canonical page for the entity, align every profile with it, implement schema.org structured data, connect official profiles, and correct or retire sources that contradict the record.
Outputs: a consistent identity across the web, valid structured data, and a documented list of official sources.
Measured by: consistency of names, titles and descriptions across sources, validity of structured data, and reduction of ambiguity with namesakes or outdated roles.

Evidence and Source Authority

Develop proof assets and improve the quality, relevance and independence of supporting sources.

Inputs: the list of claims, existing publications, data, results and third-party mentions.
Actions: produce assets others can cite (analysis, methodology, documented results), identify the independent sources that matter in the field, and pursue legitimate coverage and references.
Outputs: a library of proof assets and a source map showing which sources support which claim.
Measured by: the number and quality of independent sources that corroborate each claim, and which of them AI systems cite.

No evidence is invented. A claim without proof is removed from the narrative, not decorated.

AI Search Optimization

Apply SEO, AEO and GEO to make high-quality information easier to discover, extract, connect and cite.

Inputs: the entity foundation, the proof assets and the questions identified in the baseline.
Actions: fix crawling and indexing issues, structure pages around the questions people ask, write answer-ready passages and definitions, add comparison content where a choice is implied, and maintain internal links between related pages.
Outputs: pages that rank, can be quoted and reference each other clearly.
Measured by: search visibility, citations of owned pages in AI answers, and coverage of the prompt families defined in layer 1.

The disciplines involved are explained on the AI visibility page.

Monitoring and Governance

Track visibility, representation, citations, competitors and emerging issues; establish an update cadence.

Inputs: the baseline, the prompt set and the list of official sources.
Actions: rerun the measurement at a fixed interval, review changes, correct sources that drift, and update the record when roles, products or facts change.
Outputs: periodic reports, a prioritized action list, and a defined owner for the entity's public record.
Measured by: trend in presence, accuracy and citations, and the time taken to correct an identified error at its source.

What the system does not do

It does not control a model's output. No method can dictate what an AI system writes or guarantee a citation or a recommendation.
It does not manufacture proof. No invented clients, results, reviews or awards.
It does not rely on volume. Publishing more of the same does not resolve an unclear entity.
It does not produce a single universal score. Results are reported per engine, with dates, prompts and limitations stated.

How the layers are applied

A Private Authority Assessment covers layer 1 and identifies which later layers matter most. A Build, the Executive Authority Build or the Brand Authority Build, works through layers 2 to 5 within the scope agreed for it. Layer 6 then continues, if you choose it, as AI Reputation Intelligence. Fees and scope for each are on the investment page. The same system applies to leaders and to organizations; what changes is the entity, the sources that matter and the stakes. I lead each engagement directly, with outside specialists where a matter requires it, as described in the background behind this practice. The protocol used for measurement, the prompt families and a dated log of what was checked are published in Research.

Frequently asked questions

What is The Authority Architecture System?

It is a six-layer method for building authority that search engines and AI systems can recognize: Perception Intelligence, Narrative Positioning, Entity Foundation, Evidence and Source Authority, AI Search Optimization, and Monitoring and Governance.

How do you audit how AI describes a person or a brand?

By running a defined set of prompts on each AI engine, recording the answers and the sources cited, and comparing them with the facts and with competitors or peers. The prompts, engines and dates are documented so the audit can be repeated.

Why does the method start with perception and not with content?

Because content written before the diagnosis tends to repeat existing inconsistencies. The baseline shows whether the problem is absence, inaccuracy or lack of corroboration, and each calls for different work.

Can the system guarantee how an AI model will describe me?

No. It improves the consistency, evidence and sources that models rely on, and measures the change. The wording of any answer remains outside anyone's control.

Understand how search and AI currently interpret your authority.

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Selective engagements for leaders and organizations with material reputational stakes.