SERVICES  ·  How we work

Our Services.

Four pillars. One operating system. Run continuously.

AI Readiness Audit
Brand Source of Truth
Machine Readability
Authority and Perception
AI Readiness Audit
Brand Source of Truth
Machine Readability
Authority and Perception
I.
Pillar One · Measure and Monitor

AI Readiness Audit — know exactly where you stand before you spend a dollar.

01 / MULTI-PARAMETER AUDIT

7-module audit, 35+ metrics

A structured score across presence, recommendation rate, sentiment, citation authority, and competitive edge.

02 / FOUR-ENGINE COVERAGE

ChatGPT, Gemini, Perplexity, Google AI Mode

Each engine retrieves differently — we track all four separately, not as one averaged score.

03 / BRANDED + NON-BRANDED

Across the 7 journey buckets

From open category discovery through comparison, fit, and defensive queries — the full path to a recommendation.

04 / IDENTITY-LEAKAGE DETECTION

Hedge and leakage detection per engine

Where a question about you quietly becomes an answer about a competitor — and where AI hedges instead of recommending.

What an audit looks like

Sample output
Rank Brand AI Share of Voice Branded Recall Outlook
01 Brand A 31.2 Strong Category default
02 Competitor 2 22.8 Neutral Mid-funnel only
03 Your Brand 17.4 Weak Mid-pack, hedged
04 Competitor 4 14.1 Neutral Comparison-only
05 Competitor 5 9.6 Weak Long-tail

Illustrative sample only — placeholder brands and scores for demonstration. Not real client data; see Our Work for anonymized real audit findings.

II.
Pillar Two · Structure and Validate

Brand Source of Truth — the corpus AI retrieves, not the critics.

01 / CLAIM VALIDATION

Structured, claim-validated Brand Source of Truth

Every claim checked, sourced, and structured so it survives scrutiny — yours and the engine's.

02 / MACHINE-READABLE CLAIMS

Every product/service claim made machine-readable

Formatted so an AI engine can parse, trust, and cite it directly — not buried in marketing copy.

03 / NARRATIVE COUNTER-CONTENT

Counters competitor and critic narratives

Evidenced outcomes that give AI something to weigh against the negative framing it currently defaults to.

04 / THE RETRIEVABLE CORPUS

Becomes the corpus engines retrieve

Not the critics, not a competitor's site — your own structured content, answering the question first.

III.
Pillar Three · Fix and Deploy

Machine Readability and AI Content — built to be cited, not just read.

01 / SCHEMA and STRUCTURED DATA

For AI shopping surfaces

Structured product and service data formatted for AI Mode's shopping graph and equivalent surfaces.

02 / FAQ and COMPARISON CONTENT

For low-share-of-voice buckets

Built specifically for the journey stages where you're currently absent or losing — not generic blog content.

03 / OUTCOME-LED REFRAMING

Key value props reframed as outcomes

Your strongest claims translated into the outcome language AI engines retrieve and quote.

04 / CITABLE PROOF POINTS

Proof points rendered as citable content

Real wins — product truths, verified claims — structured so AI can quote them directly in an answer.

IV.
Pillar Four · Amplify and Track

Authority and Brand Perception — own the surfaces AI already cites.

01 / EARNED-SURFACE PRESENCE

Authority and perception across Reddit, Quora, YouTube

Real engagement, not astroturfing — on the exact platforms AI engines already retrieve from.

02 / CRITIC-SURFACE ENGAGEMENT

Engagement on the surfaces AI already cites

Where a negative narrative is already winning, we engage directly on its home turf instead of ignoring it.

03 / ENTITY and REVIEW SIGNALS

Wikipedia, Wikidata, knowledge panel

The structured entity data that anchors how AI engines understand who you are in the first place.

04 / ALIGNED EARNED MEDIA

Earned media aligned to what AI retrieves

PR and coverage placed where it actually moves the retrieval needle, not just where it reads well.

ENGAGEMENT MODELS  ·  Three ways to work with us

However you bring us in, the system stays the same.

MODEL 01

Strategic Retainer

Full ownership of all four pillars end to end — audit, structure, deployment, and amplification running as one continuous cycle.

Best for: brands ready to commit to a long-term system
MODEL 02

AI Readiness Audit

A focused, standalone engagement — the full 7-module audit and a prioritized fix roadmap, with no ongoing commitment required.

Best for: finding out where you actually stand
MODEL 03

Embedded Growth Team

Our team works inside yours — embedded into existing workflows, tools, and reporting rather than running parallel to them.

Best for: teams that need capacity, not a separate vendor
Start a conversation

Let's figure out which pillar you need first.

Most engagements don't start with all four pillars running at once — they start wherever the most urgent gap is. Tell us where that is for you.