Discover
We check the website, entities, content, external sources, Brand Mentions and how AI systems currently interpret the brand.
OUTPUTStarting pointFunkyMEDIA methodology
Diagnosis before tactics. Evidence before assumptions.
We connect website analysis, entities, content, external sources, Brand Mentions and AI answers in one decision process.
The methodology is designed to answer one question: what is limiting the brand now, and what should we do next?
THE OPERATING MODEL
01DiscoverFind the limiting signals
→
02StructureBuild clarity and relationships
→
03DistributeBuild external confirmation
→
04MeasureObserve what changed
Not every project needs every action. Every project needs the right order of decisions.
How we work
From diagnosis to measurable change.
The process stays consistent even when the scope changes. We first understand the starting point, then decide which layer needs work.
Structure
We organise information, entities, naming, relationships, content architecture and technical signals.
OUTPUTBrand understandingDistribute
We build the external context and independent sources that help confirm the brand beyond its own website.
OUTPUTExternal confirmationMeasure
We compare the new state with the baseline and decide what improved, what remains weak and what should happen next.
OUTPUTNext decisionDiagnosis
We do not start by selling the fix.
Before we recommend content, technical work, Brand Mentions or SEO, we identify which part of the system is actually limiting visibility.
01Technical access
Can search and AI systems access, crawl and interpret the site?
02Semantic clarity
Are the offer, entities, topics and relationships clear enough?
03Content coverage
Does the site answer the questions and intents that define the market?
04External confirmation
Do independent sources support the same brand picture?
05AI answers
How is the brand currently described, compared, cited or omitted?
06Measurement
Do we have a baseline that lets us see whether anything improved?
Evidence model
We separate facts, observations and interpretation.
This matters because an audit becomes unreliable when measured signals and expert interpretation are presented as if they were the same thing.
Technical facts
Things that can be checked directly: accessibility, structure, page relationships, markup, source presence and factual consistency.
Observed signals
Things that can be measured or repeatedly observed: mentions, recurrence, AI answers, source patterns and changes over time.
FunkyMEDIA interpretation
Our conclusion about what the combined evidence means for the brand and which action deserves priority.
Evidence first.Interpretation second. Recommendation third.
AI Search + Brand Mentions
A brand needs to be both understood and confirmed.
AI Search works on the information systems use to understand the brand. Brand Mentions work on the independent context that helps confirm that understanding.
AI SEARCHUnderstanding
Entities · structure · content · intent
Consistent brand picture
BRAND MENTIONSConfirmation
Sources · context · reputation · recurrence
Flexible by design
The methodology defines the order of decisions, not a fixed package of tasks.
Problem
What is actually limiting the brand?
Signal
What evidence supports that diagnosis?
Action
What is the smallest useful intervention?
Measurement
How will we know whether the action helped?
Measurement
We do not show one random score and call it a strategy.
Measurement should explain what changed and why the next action is justified.
BASELINEWhere are we now?
Current website, source, mention and AI-answer state.
CHANGEWhat did we modify?
Technical, semantic, content or external-source work.
OBSERVATIONWhat changed after implementation?
Visibility, context, consistency, recurrence and answer patterns.
NEXT STEPWhat deserves attention next?
The next action follows from the new evidence.
Research-backed decisions
Methodology improves when evidence challenges it.
FunkyMEDIA uses its own research, source analysis and long-term datasets to test assumptions about AI Search and Brand Mentions.
See FunkyMEDIA research →10 yearsproprietary data
600,000+articles in the AI experiment
38,509references analysed
4,315unique target domains
Methodology boundaries
What this methodology does not claim.
A useful methodology also needs clear limits.
No universal ranking formula
AI platforms and search systems do not expose one complete deterministic formula.
No guaranteed recommendation
Improving signals does not guarantee that any specific AI system will recommend a brand.
No fake precision
We do not present uncertain interpretation as exact measurement.
No one-size-fits-all package
The scope depends on the brand, market, current signals and commercial goals.
Start with the diagnosis