The Method
The AI Visibility
Stack™
Five layers. Built bottom-up. Never bolt-on.
Most agencies sell AI discoverability as a feature you can sprinkle on top. I build it into the foundation. Because AI systems don't recommend sites they can't understand -- and understanding requires structure, authority, and clarity that only real SEO provides.
Why the Order Matters
You can't add AI discoverability to a site with broken technical SEO and expect results. You can't implement schema on pages that aren't being indexed. You can't build topical authority without content architecture.
Each layer depends on the one below it. Skip a layer and the ones above it won't hold. This is why so many AI optimization efforts fail -- they start at the top without checking if the foundation is solid.
I start at the bottom and build up. Every time.
Technical SEO Foundation
The concrete.
Nothing else works without this. If search engines can't crawl your site efficiently, can't index your pages correctly, or can't load them fast enough, every other investment is wasted.
What I do
- ›Site speed and Core Web Vitals optimization
- ›Crawlability and indexation auditing
- ›Canonical tag implementation
- ›XML sitemap configuration
- ›robots.txt optimization
- ›Mobile-first rendering
- ›HTTPS and security headers
What it means for your business
When your site loads slowly or has crawl errors, you lose visitors before they ever see what you offer. Fixing this creates leverage from traffic you're already earning.
Schema & Structured Data
The language machines speak.
Schema markup is invisible to visitors but critical for search engines and AI systems. It tells machines exactly what your business is, where it is, what it sells, and why it's trustworthy.
What I do
- ›Organization and LocalBusiness schema
- ›Product, Service, and Offer schema
- ›FAQ and HowTo schema
- ›Person schema for personal brands
- ›AggregateRating and Review schema
- ›BreadcrumbList for site hierarchy
- ›Industry-specific schema (AutoDealer, MedicalBusiness, Course, etc.)
What it means for your business
Your 5,000 Google reviews mean nothing to AI if they're not in schema. Structured data is how you make your real-world credibility machine-readable -- which means more compelling search listings, more clicks, and more qualified leads.
Content Architecture
From random posts to a compounding system.
Most sites have content scattered across pages with no structure connecting them. Content architecture turns individual posts into an interconnected system where each piece strengthens the others.
What I do
- ›Topic cluster identification and mapping
- ›Pillar page creation
- ›Internal linking strategy
- ›Content triage and consolidation
- ›Content freshness and refresh cycles
- ›Question-framed titles (How / Why / Top X)
- ›Semantic relationship building
- ›URL hierarchy optimization
- ›Programmatic content scaling
What it means for your business
You've already created valuable content. Without architecture, each piece works alone and fades over time. With it, your content compounds -- last year's work keeps producing this year's leads.
E-E-A-T Signals
Reputation in machine-readable format.
Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trust) rewards real-world credibility built over years. The sooner you start structuring these signals, the sooner machines recognize them.
What I do
- ›Author and entity markup
- ›Credential and certification highlighting
- ›Original research and proprietary data publishing
- ›Review and testimonial structuring
- ›Cross-site authority building
- ›Brand mention consistency
- ›Trust signal implementation
- ›Knowledge panel optimization
What it means for your business
E-E-A-T is the compound interest of SEO. You can't buy it. You can't shortcut it. But every month you invest in it, the moat gets deeper. Competitors can't replicate years of accumulated trust overnight.
AI Discoverability
The layer most agencies skip entirely.
This is where everything comes together. AI systems like ChatGPT, Perplexity, and Gemini weigh structured data, authority signals, content depth, and entity clarity when deciding who to recommend. This layer only works when Layers 1 through 4 are solid.
What I do
- ›AI crawler directives in robots.txt
- ›llms.txt implementation
- ›Entity clarity and disambiguation
- ›FAQ content structured for AI extraction
- ›Comparison and recommendation-friendly content
- ›Reddit and UGC platform participation
- ›YouTube content for non-branded queries
- ›AI citation monitoring
- ›Ongoing optimization based on AI behavior
What it means for your business
When someone asks an AI assistant for a recommendation in your industry and it names your competitor instead of you, that's a lead you'll never know you lost. AI discoverability is about becoming the default answer.
Proprietary Methods
Named Methodologies
Framework
AI Visibility Stack™
The five-layer framework this entire page describes. Technical Foundation, Schema, Content Architecture, E-E-A-T, AI Discoverability. Built bottom-up, sequenced by dependency. The basis of every client engagement.
Measurement System
AIVS Scoring Engine
Automated AI Visibility Score grid. Runs 10 buyer-intent queries across ChatGPT, Perplexity, and Google AI. Scores 30 citation opportunities per site. Active across 10+ client properties. Produces the before/after comparison that makes AI visibility improvement verifiable, not anecdotal.
From the methodology
“You can rank #1 on Google and still be invisible to the most important channel of the next decade.”
Frequently Asked
What is the AI Visibility Stack?+
The AI Visibility Stack is a five-layer methodology for making businesses easier for AI assistants to understand, trust, and recommend by name. The five layers are Technical SEO Foundation, Schema and Structured Data, Content Architecture, E-E-A-T Signals, and AI Discoverability. Each layer is built on the one below. Skip a layer and the layers above it wobble.
Who created the AI Visibility Stack?+
Lesli Rose, an AI Visibility Consultant who has been online since 1998 and has delivered 50+ AI Visibility Action Plans across coaching, B2B SaaS, veterinary care, breeders, and local services. The Stack synthesizes existing SEO and AI optimization concepts into a sequenced methodology with named layers and explicit dependencies.
What are the five layers of the AI Visibility Stack?+
Layer 1: Technical SEO Foundation (crawlability, indexation, AI bot directives). Layer 2: Schema and Structured Data (Organization, Person, Service, FAQ schema). Layer 3: Content Architecture (pillar pages, topic clusters, extractable answers). Layer 4: E-E-A-T Signals (reviews, press, original research, third-party mentions). Layer 5: AI Discoverability (llms.txt, entity disambiguation, citation surfaces).
How is the Stack different from the E-E-A-T framework?+
E-E-A-T (Experience, Expertise, Authoritativeness, Trust) is one of the five layers, not the whole methodology. E-E-A-T applies to Layer 4. The Stack adds four other layers around it: technical foundation below, schema and content above, AI Discoverability at the top. E-E-A-T alone does not get businesses recommended by AI without the other four.
Which layer should I focus on first?+
Always Layer 1. Technical SEO Foundation determines whether AI bots can reach your site at all. If GPTBot or ClaudeBot times out on your pages, every other layer is invisible to them. After Layer 1 is solid, move to Layer 2 (Schema), then up the Stack. Most businesses I diagnose have invested heavily in Layer 3 (content) without fixing Layers 1 and 2 first.
How long does it take to build out all 5 layers?+
Layer 1 and Layer 2 are typically 30 to 60 days of focused work. Layer 3 takes 60 to 180 days because content compounds slowly. Layer 4 (E-E-A-T) is the slowest, building over 6 to 18 months as reviews, press mentions, and original research accumulate. Layer 5 is the fastest to ship (1-2 weeks) but requires Layers 1-4 to be solid first to compound.
Can I implement this myself or do I need a consultant?+
Most of the Stack is implementable in-house if you have a developer who can ship JSON-LD schema, modify robots.txt, and structure content. The methodology document is open. Where consultants add value: cross-vertical pattern recognition, prioritization across competing fixes, and measurement infrastructure (the AI Visibility Score). The work itself is not proprietary; the sequencing and pattern matching are.
Why does the order matter?+
Each layer multiplies the leverage of the layers below it. Schema (Layer 2) on a site AI bots cannot crawl (Layer 1 broken) is decorative. Content depth (Layer 3) without schema is content AI has to interpret rather than extract. E-E-A-T signals (Layer 4) without content depth point at a site that does not back them up. Layer 5 distribution amplifies whatever Layers 1-4 produce. Inverted order produces inverted results.
What is Layer 5 (AI Discoverability)?+
Layer 5 covers the AI-specific surfaces that did not exist as a discrete category two years ago. It includes llms.txt files, AI crawler directives in robots.txt (allowing GPTBot, ClaudeBot, PerplexityBot), entity disambiguation across third-party sources, the AI Visibility Score measurement system, and showing up on platforms AI assistants train from (YouTube transcripts, Reddit, podcast appearances, industry directories).
How do I measure my AI Visibility Score?+
The AI Visibility Score is a 30-query diagnostic: 10 buying-intent questions a buyer in your industry might ask, run across 3 platforms (ChatGPT, Gemini, Google AI Overviews). If your business appears in 9 of 30, your score is 30 percent. Track monthly. Improve the weakest layer first. The full diagnostic is included in every AI Visibility Action Plan.
Is AI visibility the same as SEO?+
No. SEO optimizes for Google search rankings. AI visibility optimizes for AI-generated recommendations and answers. They share a foundation (technical health, structured data, content quality), but AI systems weight signals differently. Reviews, third-party mentions, entity consistency, and structured answers matter more to AI than backlink profiles or keyword density.
Do small businesses need AI visibility?+
Yes. AI assistants are becoming a primary way buyers find and evaluate local services. Small businesses with strong reviews, proper schema markup, and clear entity signals can outperform larger competitors in AI recommendations because AI prioritizes machine-readable accuracy and relevance over brand size or ad spend.
How It Works in Practice
Audit & Proposal
I analyze your site across all five layers. Technical health, schema coverage, content structure, authority signals, and AI readiness. You get a comprehensive audit with prioritized recommendations and a clear proposal -- not a generic report.
Prioritized Implementation
My team and I start with the highest-impact fixes. Usually that's schema and technical SEO -- the things that create immediate visibility gains. Then we build upward through content architecture, E-E-A-T, and AI discoverability in order.
Measure, Adjust, Compound
Weekly GSC data tracking. Monthly performance reviews. I measure what's working, adjust what isn't, and keep compounding gains. 1% improvements, consistently, toward your business goals.
See Where Your
Foundation Stands
I'll analyze all five layers and show you exactly where the gaps are, what they're costing you, and what to fix first.
Run Your AI Visibility Action PlanRecently closed a Series A? See AI Visibility for Series A Startups for the 90-day post-close sprint and Series A-specific pricing.