AI Search

Does AI know when it should recommend your brand?

AI systems increasingly answer questions about companies, products and services before users visit a website. FunkyMEDIA helps brands increase their chances of appearing in those answers.

If an AI system does not understand your brand, it has no reason to recommend it.

Check your website → Talk to FunkyMEDIA

How AI Search works

Five signals between a customer question and a brand appearing in the answer.

Live process

Question “Who is the best AI Search agency for ecommerce?”

Intent

AI System Understands intent, retrieves evidence and compares options.

Interpret

Sources Website content, mentions, reviews and industry context.

Evidence

Brand Signals Clarity, consistency, expertise and external trust.

Confirm

Answer Recommendation, shortlist or citation.

Decision

Key point: a brand has to be understood and independently confirmed before it has a stronger chance of entering an AI-generated answer.

AI Search

Visibility no longer ends with rankings.

The decision can begin — and partly end — outside your website.

Check where your brand stands →

A user can ask an AI system who to choose, what to buy, who specialises in a specific problem or which brand is trustworthy. The answer may appear before the user ever sees a traditional search results page.

Who to choose?

What to buy?

Who specialises in this?

Which brand is trustworthy?

AI Search

Before AI recommends a brand, it needs to build a picture of it.

A brand needs to be found, understood and confirmed.

The more consistent the information about your brand, the easier it is for a system to connect it with the right category, service and user intent.

What AI needs before it recommends a brand

AI moves from finding information to understanding, validating and finally recommending a brand.

Discoverability

Your brand’s information needs to be easy to find and access.

pagesstructureentitiescrawlable

Understanding

AI needs to understand what you do, who you serve and when you’re relevant.

categoryofferaudienceintent

Validation

Your credibility is assessed through external signals and consistency.

mentionsreviewsexpertisetrust

Recommendation

When the signals line up, your brand can enter shortlists, citations and AI answers.

shortlistcitationcomparisonanswer

Stronger, more consistent signals increase your chance of appearing in AI-generated answers.

A clear, accurate and well-supported brand makes it easier for AI to find, understand and recommend you.

AI Search

AI can overlook a brand for many reasons.

Website

Unclear specialisation, weak information structure or inconsistent naming can make interpretation difficult.

Sources

If the brand has few independent confirmations, the system has less evidence to verify it.

Interpretation

Conflicting information can lead to incorrect associations or category assignment.

AI should not have to guess what your brand does.

AI Search + Brand Mentions

Your website alone is not enough.

What a brand says about itself is only one part of the picture. AI systems also use external sources, which is why AI Search and Brand Mentions should work together.

AI Search and Brand Mentions work best as one system.

Explore Brand Mentions →

ONE BRAND PICTURE

AI needs both what you say and what others confirm.

Owned information creates understanding. External signals create confirmation. Together they give AI a stronger basis for comparison and recommendation.

OWNED SIGNALS Understanding

Your Website Facts, services, people, structure

AI Search Clarity, entities, context, intent

Helps AI understand what the brand is and when it is relevant.

EXTERNAL SIGNALS Confirmation

External Sources Reviews, media, industry, communities

Brand Mentions Presence, trust, context, co-occurrence

Helps AI verify that the brand is independently recognised in the market.

AI SYSTEM

One consistent brand picture Understand + confirm → compare → recommend

Stronger chance to enter the answer

What FunkyMEDIA does

We structure what AI can find and understand.

AI Search is not one technical change. It is work on information, relationships, sources and the way the brand is interpreted.

We analyse current visibility.

We structure information.

We clarify entity relationships.

We analyse sources and confirmation points.

We monitor how the brand appears in AI answers.

AI Search

Why we call it AI Search — not GEO.

The industry keeps inventing acronyms.
We use the name that survives the technology.

GEO, AEO, LLMO and other terms describe parts of the shift, but they are narrow, ambiguous or already outdated. AI Search is the only name that covers the full picture — today and tomorrow.

Our approach →

GEO

◇

Generative Engine Optimization

Coined in 2023 to describe optimising visibility in generative engine responses.

Useful for early research
Limited to generative responses
Doesn’t cover agents, voice, actions
Often confused with geography (geo = earth)

AEO

▢

Answer Engine Optimization

Originally linked to direct answers and featured snippets, later used for AI answers.

Describes answer visibility
Too narrow (answer-only)
Doesn’t cover comparison, recommendations or actions
May not apply when no answer is generated

LLMO

⌘

Large Language Model Optimization

Focuses on optimising for LLMs and their responses.

Relevant for model-driven responses
LLM is only one part of the system
Doesn’t cover retrieval, ranking, Knowledge Graph
May not apply when other models or systems are used

AI Search

✦

AI-powered discovery and decision-making

A clear, future-proof name for how people find, compare and choose with AI.

Covers all interfaces (text, voice, image, agents)
Includes search, comparison, recommendations and actions
Works even without citations or visible links
Stays relevant as the technology evolves

When GEO may no longer apply
but AI Search still works

AI is already moving beyond classic generated answers. In many real-world scenarios the term GEO becomes irrelevant, but AI Search still describes what’s happening.

◉

Voice search

Users get spoken answers. Links may not be shown, but brands can still be mentioned.

▣

Agentic search

AI agents compare options, take actions and complete tasks — not just generate text.

▧

Visual search

Users search with images, video or camera. The experience is multimodal, not text-only.

⊘

No visible sources

Information can be used without showing links. Your brand can still influence the answer.

☷

Structured data

AI may use Knowledge Graph, product data or databases instead of generating an answer.

↗

Interfaces will change. Models will change. Citations may change. People will still use AI to search, compare and decide. That is why we call it AI Search.

Quick challenge

Do you really understand AI Search?

One question. Four answers. One is correct. Get it right and unlock 10% off eligible FunkyMEDIA services.

QUESTION 1 / 1 Reward: 10% off

Which definition best describes AI Search?

Business Outcome

The goal is not to “be in AI”.

The goal is to appear when a customer is looking for a solution.

AI Search creates business value when it increases the number of situations in which your brand can enter the user's decision process.

Check your website →

Presence

Recognition

Verification

Consideration

Contact

Methodology

From diagnosis to measurable change.

Discover

Structure

Strengthen

Measure

See our methodology →

Why FunkyMEDIA

AI Search is one of FunkyMEDIA’s two core specialisations.

Original researchWe do not rely only on other people's theories.

Our own methodologyWe connect the website, sources, Brand Mentions and measurement.

SEO knowledge as a foundationWe understand the technical and semantic foundations of visibility.

Brand Mentions integrationAI Search and Brand Mentions work best as one system.

Data-driven workWe base decisions on observed signals.

Free audit

See how AI may currently interpret your brand.

Run a free audit →

First result without entering your email.

If a customer asks AI for a solution, your brand should have a chance to appear in the answer.

Check your website → Talk to FunkyMEDIA

Does AI know when it should recommend your brand?

Visibility no longer ends with rankings.

Before AI recommends a brand, it needs to build a picture of it.

What AI needs before it recommends a brand

Discoverability

Understanding

Validation

Recommendation

AI can overlook a brand for many reasons.

Website

Sources

Interpretation

Your website alone is not enough.

AI needs both what you say and what others confirm.

We structure what AI can find and understand.

Why we call it AI Search — not GEO.

GEO

AEO

LLMO

AI Search

When GEO may no longer applybut AI Search still works

Voice search

Agentic search

Visual search

No visible sources

Structured data

Do you really understand AI Search?

Which definition best describes AI Search?

Your 10% FunkyMEDIA code

The goal is not to “be in AI”.

From diagnosis to measurable change.

Discover

Structure

Strengthen

Measure

AI Search is one of FunkyMEDIA’s two core specialisations.

See how AI may currently interpret your brand.

If a customer asks AI for a solution, your brand should have a chance to appear in the answer.

When GEO may no longer apply
but AI Search still works