Last updated 13 May 2026
The AI Recommendation Index.
AI See You publishes two research indexes that map how AI assistants recommend businesses and brands. The Service Recommendation Index covers professional services and trades. The Product Recommendation Index covers ecommerce and DTC product brands. Both run real buyer questions across ChatGPT, Claude, Gemini, and Perplexity every week, then publish what gets recommended and which signals do the work.
Two indexes. One research program.
Each index uses the same methodology, run weekly across the same four AI platforms, in three markets. The split reflects the two distinct decision problems AI is now being asked to solve: which business to hire, and which product to buy.
SRI
Service Recommendation Index
How AI recommends service businesses.
Tracks how AI assistants recommend service businesses across professional services, allied health, trades, and local services. Accountants, lawyers, physiotherapists, mortgage brokers, electricians, dentists, financial planners. The index covers AU, UK, and USA markets, with city-level coverage in major metros.
- AU, UK, USA coverage
- Major metro city-level rankings
- Weekly cadence
- 5 industry categories
PRI
Product Recommendation Index
How AI recommends product brands.
Tracks how AI assistants recommend challenger product brands across consumer categories. Pet supplements, men's skincare, sports nutrition, mattresses and bedding, luggage, premium skincare, DTC furniture. 1,200+ ranked brand entities across 46 sub-categories, growing weekly.
- 1,200+ ranked brand entities
- 46 sub-categories
- AU primary, UK and USA expanding
- Weekly cadence
A continuously growing intelligence dataset.
The dataset compounds with every weekly run. No comparable systematic dataset of AI brand recommendation exists in any market we operate in. The intelligence powers the Recommendation Score for every client on the platform, and feeds the public rankings that anyone can explore.
How the research program works.
Structured question sets.
For each industry or category, we define the buyer questions real customers ask AI assistants when deciding who to hire or what to buy. Multiple natural phrasings per question to account for prompt sensitivity (ACM RecSys 2025 research established that LLM outputs vary significantly with prompt phrasing).
Multi-platform tracking.
Every question set runs across ChatGPT (gpt-4o, web search enabled), Claude (claude-sonnet-4-6, web search enabled), Gemini (gemini-2.0-flash with google_search grounding), and Perplexity (sonar). We record which businesses appear, how they are described, and which signals appear to influence the recommendation.
Weekly cadence.
Each tracking run produces a snapshot. Weekly cadence surfaces directional change over time, not noise. A brand that wins a question for three consecutive weeks holds a stable position. A brand that wins one week and disappears the next is seeing variance, not signal. This is why measurement must be continuous, not one-off audits.
The Recommendation Gap.
DEFINITION
The Recommendation Gap is the measurable distance between a business's current AI recommendation rate and its potential recommendation rate once recommendation infrastructure is fully set up.
A business can rank well in Google search and still have a significant Recommendation Gap. AI Recommendation Infrastructure closes the gap by structuring the signals AI uses to evaluate and recommend businesses. The Recommendation Score (XX/100) is how we measure the gap and track its closure week by week.
See the four signal layers behind the Recommendation Score →
PROOF, REFERENCE BRAND
The Aussie Man, 18% to 34% in three weeks.
Same questions, same four AI platforms, independently verified. The Recommendation Score for The Aussie Man, an Australian DTC men's skincare brand on Shopify, moved from 18% to 34% in three weeks after the AI Knowledge Centre went live. The reference build for the methodology that powers both indexes.
See where your business or brand ranks.
Book a 15-minute call. We will run your baseline Recommendation Score against the same query sets used in the index, then walk you through your specific gap.
Frequently asked questions
Find out how recommendable your business is.
Book a 15-minute call. We will run your baseline Recommendation Score against the same methodology used across both indexes, then walk you through the gap and what to do about it.
Or email hello@ai-seeyou.com.