AI Recommendation Infrastructure
The intelligencelayer behindAI Recommendations.
Understand how AI assistants discover, evaluate, and recommend businesses like yours. Then strengthen the signals that earn their recommendation.
Built on one of the first datasets mapping how AI assistants recommend businesses across industries.
Based on verified credentials, reviews, and service coverage, I'd recommend:
Smith & Summer Family Lawyers
Accredited family law specialists. Property settlement and high-net-worth divorce. 94 verified reviews. Sydney CBD.
Estimate Your Recommendation Gap
Select your industry to see your estimated gap and the two most common signals affecting AI recommendation.
Optimised across the AI platforms your customers use
The Ecosystem
The AI Recommendation Infrastructure
AI assistants are rapidly becoming the recommendation layer of the internet. When customers ask AI systems what to buy, which services to use, or which companies to trust, those assistants analyse signals across the web to decide which businesses to recommend. AI See You operates the intelligence layer that studies how these recommendations happen and strengthens the signals that influence them.
AI See You — AI Recommendation Intelligence Platform
AI assistants confidently recommend the business.
Buyer Behaviour
AI Assistants
Signals
AI See You
Deployed
Outcome
The Shift
AI is answering your customers' questions right now.
ChatGPT. Claude. Gemini. Perplexity. When someone asks which physiotherapist to book, which accountant to hire, which brand to buy, or which supplier to shortlist, AI gives them an answer. It does not direct them to Google. It gives them a name.
The question is whether that answer includes you.
For most businesses, it does not. Not because they are not good enough. Because they are not structured for AI recommendation. That is the gap we close.
THE AI RECOMMENDATION GAP
The distance between being found and being recommended.
Most businesses rank in search. Very few are recommended by AI. The gap between those two things is the most important metric in business discovery right now.
TRADITIONAL SEARCH
You rank.
Google surfaces your page in a list. The buyer chooses. You compete for the click.
Years of SEO investment
THE GAP
The Recommendation Gap
The measurable distance between how well-known a business is to human searchers and how confidently AI assistants recommend it.
AI See You measures and closes thisAI RECOMMENDATION
You get recommended.
An AI assistant is asked who to hire, what to buy, or which supplier to choose. Your name is in the answer. The buyer acts.
The outcome that matters
TRADITIONAL SEARCH
You rank.
Google surfaces your page in a list. The buyer chooses. You compete for the click.
Years of SEO investment
THE GAP
The Recommendation Gap
The measurable distance between how well-known a business is to human searchers and how confidently AI assistants recommend it.
AI See You measures and closes thisAI RECOMMENDATION
You get recommended.
An AI assistant is asked who to hire, what to buy, or which supplier to choose. Your name is in the answer. The buyer acts.
The outcome that matters
Most businesses have invested years in search optimisation.
Almost none have invested in recommendation infrastructure.
AI See You measures and closes the Recommendation Gap.
Get your Recommendation Gap estimateHow AI Decides
What AI is looking for before it recommends anyone.
Understanding this is the foundation of everything we build.
When an AI assistant is asked to recommend a business, it evaluates several things simultaneously. Does this business have clear, structured content that answers the question? Does the business have evidence - reviews, credentials, case studies - that supports a confident recommendation? Is the business information consistent across the sources AI references? Is the content structured in a way AI can read, parse, and cite? If any of these conditions are not met, the recommendation goes to someone else.
01 Structured Knowledge
AI needs well-organised content that directly answers buyer questions. Most business websites are built for humans browsing, not for AI evaluating.
02 Consistent Authority
AI cross-references multiple sources. Inconsistent business information across directories and platforms creates uncertainty that costs you the recommendation.
03 Verifiable Proof
Reviews, credentials, case studies, and certifications are not just trust signals for humans. They are the evidence layer AI requires before recommending with confidence.
04 Technical Readiness
AI crawlers read your digital presence differently from search engines. Structured data, schema markup, and page architecture determine whether AI can parse what you offer.
The Metric
Your Recommendation Score
A single number that tells you how likely AI is to recommend you when a buyer asks.
Recommendation Score
Updated weekly across 4 AI platforms
The Recommendation Score is built from four signal layers. Each one maps to a concrete action. Each action moves the number. Every week, we run your business through the same queries your buyers are asking across ChatGPT, Claude, Gemini, and Perplexity. The score updates. You see the movement.
Knowledge Centre Health
Does your AI Knowledge Centre contain the structured content AI needs to evaluate and recommend you?
Directory Consistency
Is your business information consistent, complete, and indexed across the directories AI references?
Proof Layer
Do you have the reviews, credentials, and evidence AI requires to recommend you with confidence?
Technical Readiness
Is your digital infrastructure structured so AI crawlers can read, parse, and cite your content?
The Product
Your AI Knowledge Centre
Hosted at knowledge.yourbusiness.com. No rebuild. No migration. Built to earn the recommendation.
Deployed at your subdomain
knowledge.yourbusiness.com. Runs alongside your existing website with no disruption. A structured intelligence layer that AI systems can find, read, and cite.
Structured for AI citation
Schema, FAQ architecture, comparison pages, evidence layer. Built for how AI reads and evaluates information. Every page answers a question a buyer is asking right now.
Infrastructure, not content
Not a blog. Not social media. An authoritative structured knowledge layer that AI systems reference when deciding who to recommend. It compounds in value over time.
Intelligence Layer
Mapping how AI recommends businesses.
Every week we analyse thousands of real buyer questions across major AI assistants to understand which businesses get recommended and why.
This research builds a continuously expanding dataset showing how AI assistants evaluate businesses across industries. This intelligence powers the Recommendation Score and guides every optimisation the platform deploys.
AI See You operates a structured research program that continuously studies how AI assistants evaluate businesses across industries.
Recommendation Tracking
Recommendation Tracking
Tracks which businesses AI assistants recommend when real buyers ask real questions. Identifies which businesses are winning recommendations in each category and why.
Market Opportunity Mapping
Market Opportunity Mapping
Identifies recommendation opportunities across categories where AI assistants frequently influence buyer decisions. Maps the full landscape of questions buyers are asking.
Signal Intelligence
Signal Intelligence
Determines which signals consistently influence recommendations across industries and AI platforms. This is the signal intelligence that drives every Knowledge Centre build.
Who We Serve
Built for every kind of business.
One platform. Three infrastructure types. One outcome.
Service Businesses
Physiotherapists, accountants, law firms, florists, financial planners, and trades. If a customer asks AI who to hire in your category, we make sure they hear your name.
See how it works →Product Brands
DTC brands, ecommerce, consumer goods, physical products. We structure your product information for AI citation at the exact moment a buyer is deciding what to buy.
Join the waitlist →Enterprise B2B
Companies competing on tender, procurement, and vendor shortlisting. We build the AI recommendation infrastructure that puts you in the consideration set before the first conversation happens.
Book a demo →The Process
Three steps. One outcome.
Getting recommended.
Measure
We run your business through the same AI queries your buyers are asking. You get a Recommendation Score and a full gap analysis. You see exactly where you are losing recommendations and why.
Build
We build your AI Knowledge Centre at knowledge.yourbusiness.com. Structured content, schema, proof layer, FAQ architecture. Everything AI needs to evaluate and recommend you with confidence.
Track
Weekly automated testing across ChatGPT, Claude, Gemini, and Perplexity. Your Recommendation Score updates every week. You know when it is moving and why.
Industries
Industries already influenced by AI recommendations.
Wherever buyers ask AI for a recommendation, AI See You builds the infrastructure that earns it.
Professional Services
- Accountants
- Lawyers
- Financial planners
- Mortgage brokers
- Consultants
- Accountants
- Lawyers
- Financial planners
Health and Medical
- Physiotherapists
- Dentists
- Chiropractors
- Allied health practitioners
- Cosmetic clinics
- Physiotherapists
- Dentists
- Chiropractors
Home and Local Services
- Builders
- Electricians
- Plumbers
- Landscapers
- Cleaners
- Builders
- Electricians
- Plumbers
Retail and Consumer Brands
- Ecommerce brands
- Consumer products
- Lifestyle brands
- DTC skincare and wellness
- Ecommerce brands
- Consumer products
- Lifestyle brands
Enterprise B2B
- SaaS companies
- Manufacturing suppliers
- Logistics providers
- Professional services firms
- SaaS companies
- Manufacturing suppliers
- Logistics providers
New industry categories are added as our research network expands. If your industry is not listed, get in touch.
hello@ai-seeyou.comAI Recommendation Index
Understanding how AI assistants recommend businesses.
Every week AI See You runs structured buyer questions across major AI assistants to understand which businesses get recommended and which signals influence those recommendations. These insights form the AI Recommendation Index.
AI See You operates a structured research program that continuously studies how AI assistants evaluate businesses across industries.
Recommendation Frequency
Which businesses appear in AI answers
We track how often businesses in each industry category appear when real buyer questions are asked across major AI assistants. Patterns emerge quickly about which signal types correlate with consistent recommendation.
Signal Influence
Which signals AI assistants rely on
Not all signals carry equal weight. Our research identifies which types of structured content, authority markers, and proof elements appear most consistently in businesses that receive strong AI recommendations.
Category Coverage
Where AI recommendations are already dominant
AI recommendations are not evenly distributed across industries. Some categories show high AI recommendation activity already. Others are largely uninfluenced. We map where the Recommendation Gap is widest.
Platform Variation
How recommendations differ across AI assistants
ChatGPT, Claude, Gemini, and Perplexity do not always recommend the same businesses. We track where platform behaviour diverges and what that means for recommendation infrastructure.
Early Patterns
Initial findings from the research program.
Based on initial tracking runs. Patterns are indicative and will be updated as the dataset expands.
Professional Services
Initial analysis suggests AI assistants frequently recommend firms with structured expert content and consistent directory authority. Businesses with clear service specificity appear to receive recommendations more often than those with broad positioning.
Health Practitioners
Early patterns indicate structured local signals and review density appear strongly correlated with AI recommendations for health practitioners. Practitioners with AHPRA registration clearly visible in structured data appear more consistently.
Consumer Brands
Product comparison content and structured buying guides appear frequently cited by AI assistants when buyers ask product recommendation questions. Brands without this content layer show a significant Recommendation Gap.
Platform Coverage
AI Platforms We Monitor
Recommendation tracking runs continuously across the major AI assistants customers use for discovery today.
TRANSPARENT PRICING
No proposals. No waiting.
Pick a plan. Start building your AI recommendation infrastructure today.
SMB
Best for getting started
- AI Knowledge Centre setup
- Recommendation Score (monthly)
- Gap analysis report
- 4 AI platforms tracked
- Email support
Professional
- AI Knowledge Centre setup
- Weekly Recommendation Score
- Gap analysis report
- 4 AI platforms tracked
- Full diagnostic reporting
- Priority implementation support
- Performance timeline
Agency
- AI Knowledge Centre setup
- Weekly Recommendation Score
- Gap analysis report
- 4 AI platforms tracked
- Full diagnostic reporting
- Priority implementation support
- Performance timeline
- Multi-client dashboard
- White-label reporting
- Agency account support
Enterprise B2B
$20,000 setup + $3,000/month
For companies competing on tender, procurement, and vendor shortlisting. Custom AI Knowledge Centre build, dedicated account team, competitor tracking, quarterly strategic review.
INVESTORS AND PARTNERS
We are building the AI recommendation standard.
Australia. United Kingdom. United States. AI See You is the infrastructure layer that determines which businesses get recommended when buyers ask AI who to hire, what to buy, and which supplier to choose. The window to define this category is now.
We are exploring this emerging layer of the internet with investors and partners who see the same shift. If you are building in this space or want to understand where AI recommendation is heading, we would welcome the conversation.
Frequently Asked Questions
AI recommendation infrastructure is the technical and content layer that helps AI assistants like ChatGPT, Claude, Gemini, and Perplexity confidently recommend your business when buyers ask. It includes a structured AI Knowledge Centre deployed on your domain, optimised content architecture, schema markup, and a proof layer of evidence and credentials. Unlike SEO, which optimises for search engine ranking, AI recommendation infrastructure is built specifically for how AI systems evaluate and select businesses to recommend.
Most businesses are not structured for AI recommendation. AI assistants evaluate businesses based on structured authoritative content, consistent business information across sources, a verifiable proof layer including reviews and credentials, and technical readiness for AI crawler access. If any of these are missing or weak, the recommendation goes to a competitor who has them. This gap is what we call the Recommendation Gap.
The Recommendation Gap is the measurable distance between how well-known a business is to human searchers and how confidently AI assistants recommend it. A business can have a strong Google presence and a significant Recommendation Gap. Most businesses have invested years in search optimisation and almost nothing in recommendation infrastructure. As AI assistants become the primary way buyers discover businesses, the Recommendation Gap is the most important metric a business can track.
The Recommendation Score is a single number from 0 to 100 that measures how likely AI assistants are to recommend your business when a buyer asks. It is calculated from four signal layers: Knowledge Centre Health, Directory Consistency, Proof Layer, and Technical Readiness. The score updates weekly based on automated testing across ChatGPT, Claude, Gemini, and Perplexity.
An AI Knowledge Centre is a structured content layer deployed at knowledge.yourbusiness.com alongside your existing website. It contains the expert-voice content, service pages, FAQ architecture, comparison content, and evidence layer that AI systems need to evaluate and recommend your business with confidence. It does not replace your website. It runs alongside it as a permanent infrastructure asset.
SEO optimises for search engine ranking. AI recommendation infrastructure is built for how AI systems evaluate and select businesses to recommend. Google ranks pages. AI selects businesses it can confidently recommend. The signals that earn an AI recommendation are different from the signals that earn a Google ranking.
AI See You tracks ChatGPT, Claude, Gemini, and Perplexity. Coverage expands as additional platforms grow in buyer adoption.
AI Knowledge Centres are typically live within 10 business days of onboarding. Meaningful improvement in recommendation frequency typically develops over 30 to 90 days as AI systems build confidence in the structured content and evidence layer.