Search used to mean one thing:
ranking on Google.
Today, discovery happens across three layers:

The Search Visibility Stack.

Most companies are only optimising Layer One. Here is the three-layer framework that modern search visibility actually requires.

Jason Morris
Sticky Frog
~8 min read
Search Visibility Framework
The Signature Diagram

Three layers. Most brands only optimise one.

Search visibility today is not a single channel. It's a stack of three connected layers, and your brand needs presence across all of them.

Visual Framework

Your brand at the centre. All three layers working together.

THE FRAMEWORK The Search Visibility Stack. Most brands only optimise Layer One. Modern visibility requires all three. Google Technical SEO Bing Backlinks Content SEO Traditional Search YouTube Reddit LinkedIn TikTok Forums Discovery Platforms ChatGPT Gemini Perplexity Claude — AI RETRIEVAL — YOUR BRAND LAYER 01 Traditional Search Google, Bing, Technical & Content SEO LAYER 02 Discovery Platforms YouTube, Reddit, LinkedIn, TikTok, Forums LAYER 03 AI Retrieval ChatGPT, Gemini, Perplexity, Claude Most brands only optimise Layer One. ~60% of searches now end without a click. Visibility requires all three layers. Sticky Frog . stickyfrog.co.uk/search-visibility-framework
Why This Matters

The problem with Layer One thinking.

For most of the last two decades, SEO meant one thing: rank on Google. Build links, optimise content, fix technical issues, and traffic follows. That model worked, and it still forms the foundation of any credible search strategy.

But something fundamental has shifted. The way people discover information, find brands, and make decisions has fractured across an expanding landscape of platforms and AI systems. The single-channel model is no longer sufficient.

Most SEO strategies are still solving for the web that existed in 2018. The search landscape has reorganised around new platforms and AI systems.

Approximately 60% of Google searches now end without a click, AI Overviews, Featured Snippets, and Knowledge Panels answer questions directly. Meanwhile, AI assistants like ChatGPT and Perplexity are generating millions of branded recommendations every day, pulling from sources they've determined to be authoritative.

If your brand isn't present in those sources, you aren't being recommended.

Layer One

Traditional Search still the foundation.

Layer One is not obsolete. It is, and will remain, the foundation of any serious search strategy. Google processes over 8.5 billion queries per day. Ranking well matters. The discipline of technical SEO, content quality, and link authority still drives measurable results.

What has changed is that Layer One alone no longer captures the full value of a search strategy. It is a necessary condition, but no longer sufficient.

What Layer One still does well

Foundation-level visibility that every brand needs

High-intent transactional search traffic
Brand and category awareness at scale
Long-tail content discovery
Compounding content assets over time
Structured data and rich results
Local and geo-targeted visibility
Layer Two

Discovery Platforms where intent begins.

Before many users reach Google, they're already searching for answers, recommendations and expertise on platforms that traditional SEO ignores. YouTube is the world's second largest search engine. Reddit threads rank in Google and are ingested by AI. LinkedIn posts drive B2B credibility that feeds into how AI systems evaluate expertise.

Layer Two is where discovery intent begins. A user might ask a question on Reddit, watch a YouTube explainer, scroll a LinkedIn thread, and only then head to Google to validate a decision they've already largely made.

How Layer Two works in practice

Visibility on the platforms that precede website visits

YouTube: searchable video content that ranks on Google and appears in AI answers
Reddit: authentic community recommendations ingested by AI systems
LinkedIn: professional credibility and thought leadership signals
Industry forums and niche communities: trust where the audience lives
Podcast and audio presence: discovery in long-form attention
Review platforms: purchase intent at the final decision stage
Layer Three

AI Retrieval the newest frontier.

Layer Three is the fastest-growing layer of search. AI assistants, ChatGPT, Gemini, Perplexity, Claude, and Google's AI Overviews, are now being used by hundreds of millions of people to get direct answers to questions that previously required a search and multiple website visits.

These systems don't rank websites. They synthesise information from sources they've determined to be credible, authoritative, and well-structured. If your brand doesn't appear in those sources, it doesn't exist to the AI, and therefore doesn't exist to the user asking.

How to build Layer Three visibility

Answer Engine Optimisation and AI citation signals

Structure content to answer specific questions directly
Build E-E-A-T signals AI systems can verify
Use schema markup to make information machine-readable
Create definitive resource pages AI assistants cite
Build brand mentions and citations across the web
Format content for zero-click and featured answer patterns
Key principle
  • AI systems don't search for your brand, they synthesise from sources they already trust. Your job is to become one of those sources.
  • This requires a different kind of content: authoritative, structured, direct, and consistently associated with your area of expertise.
  • The brands that appear in AI answers today built their authority over time, not overnight. The window to establish that authority is now.
The Integrated Strategy

How the three layers work together.

The Search Visibility Stack isn't three separate strategies. It's one integrated system where each layer reinforces the others.

Layer One provides the technical foundation: clean site architecture, indexable content, and the authority signals that AI systems use to evaluate credibility.

Layer Two builds the ambient presence that precedes search intent. When your brand appears in the communities and platforms your audience lives in, you become familiar before they need you, which means they're more likely to seek you out, click your result, and trust your content.

Layer Three is the compounding layer. The more authoritative your Layer One content and the more consistent your Layer Two presence, the more likely AI systems are to retrieve and recommend your brand. And AI recommendations drive traffic to Layers One and Two, which signals authority back to Layer Three.

The brands that understand this system aren't just optimising for a platform. They're building infrastructure for discovery, and that infrastructure compounds over time.

This is the core idea behind the Search Visibility Strategy Audit - identifying where each layer is strong, where it's weak, and what the highest-value actions are to close the gap.

Want to know where
your brand stands?

A free Search Visibility Snapshot reviews your current presence across all three layers, and identifies your biggest opportunities.

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Frequently Asked Questions

Common questions about AI search, AEO, and how Sticky Frog helps B2B businesses get cited by AI engines.

What is AEO (Answer Engine Optimisation)?

AEO stands for Answer Engine Optimisation. It is the practice of structuring your website content, entity data, and online presence so that AI search engines like ChatGPT, Perplexity, and Google AI Overviews cite your business in their generated answers. Unlike traditional SEO, which targets click-through traffic, AEO targets citation: being the source an AI engine recommends when someone asks a relevant question.

Why does AI search visibility matter for B2B businesses?

B2B buyers increasingly use AI tools like ChatGPT and Perplexity to generate vendor shortlists before making contact. If your business is not cited by these AI engines, you are invisible to these buyers at the most critical point in their decision-making process. AI shortlisting makes AI search visibility a strategic priority for any B2B business.

What is the difference between SEO, AEO, and GEO?

SEO focuses on ranking in traditional Google search results. AEO (Answer Engine Optimisation) focuses on being cited in AI-generated answers on ChatGPT and Perplexity. GEO (Generative Engine Optimisation) focuses on appearing in outputs of generative AI tools. Sticky Frog specialises in AEO for B2B businesses and professional services.

What is an llms.txt file and does my website need one?

An llms.txt file is a plain-text file at the root of your domain that tells AI language model crawlers what content to index, trust, and cite. It is the AI equivalent of robots.txt. Most business websites do not yet have one, making it a meaningful competitive advantage in AI search visibility.

How long does it take to see results from AEO?

AI search visibility improvements can begin within 4 to 8 weeks for technical fixes like schema markup and llms.txt. Content-driven citation builds over 3 to 6 months. The AI Visibility Accelerator is a minimum 6-month engagement delivering results across ChatGPT, Perplexity, Google AI Overviews, YouTube, and Reddit.