Most commerce brands are invisible to AI. IndexGrid is the infrastructure that changes it.
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RSOV Report
producturl · Women's Vitamins · May 2025
AI systems know you exist but can't reliably cite you. See ADMM →
Your RSOV
Per-system breakdown
6 AI Systems
Tracked continuously
RSOV
The standard metric
ADMM
Open framework
ACI Score
Infrastructure audit
For two decades, visibility meant ranking position. Every brand had a slot on the page. AI changed that model permanently.
When a consumer asks “best protein powder for women” or “top skincare brands for sensitive skin,” an AI system doesn't return a ranked list. It generates a single answer. It names specific brands. It cites sources it trusts. If your brand is not in that answer, you don't exist in that moment.
An AI names two or three brands. One answer. Everyone else is absent from that moment of consideration.
Brands are absent because AI systems cannot reliably understand or retrieve them — not because the brand lacks quality or market position.
Brands being cited accumulate authority signals that reinforce future citations. Brands being ignored fall further behind. The distance grows measurably.
A brand can hold the top organic result on Google while having near-zero AI citation presence. AI evaluates entity clarity and semantic authority — not backlinks.
Run your free RSOV check. We query 6 AI systems across your category's standard query set and return your exact score, ADMM level, and the specific gaps responsible.
ARIA maps every query where competitors appear and you don't. PIQO identifies exactly which content signals are missing. ECHO finds every authority gap.
IndexGrid deploys structured content, entity signals, and authority infrastructure — systematically closing the gap between where you are and where you need to be.
AI Commerce Identityis the structured, machine-readable representation of a brand's identity, products, authority, and expertise that enables AI systems to accurately understand, retrieve, and recommend that brand in response to relevant commerce queries. Every commerce brand operating in an AI-native world requires one. Without it, AI systems cannot reliably represent a brand — regardless of market position, product quality, or SEO performance.
An AI Commerce Identity is not content, not metadata, and not SEO. It is infrastructure — four layers that together determine whether AI systems can reliably represent a brand. Without all four, AI systems fill the gaps with uncertainty or silence.
ACI — Cause
The identity infrastructure that determines whether AI systems can reliably understand and recommend your brand. Built through entity clarity, authority, semantic structure, and citation networks.
RSOV — Outcome
The measured result. How often AI systems cite your brand versus competitors. The number that tells you exactly where you stand — and how far the gap is.
Four infrastructure layers
How AI systems identify and categorize your brand. Consistency of brand name, category, and distinguishing characteristics across all indexed sources.
How AI systems assess your credibility. The density, consistency, and quality of third-party sources that describe your brand as authoritative in its category.
How AI systems understand and describe your products. Whether your content is structured in a form AI systems can extract, synthesize, and cite accurately.
How AI systems retrieve and reference your brand. Whether your brand appears in the citation networks AI systems use to generate authoritative answers.
They are trained on vast datasets of human-written content — reviews, articles, forum discussions, product comparisons — and they develop statistical confidence about which brands are authoritative in which categories.
The brands that appear consistently, described accurately, across trusted third-party sources accumulate retrieval probability. The brands that do not, do not.
This is not an algorithm you can game. It is an identity problem. IndexGrid solves it at the infrastructure level.
IndexGrid has identified 10 measurable signalsacross four layers that determine a brand's retrieval probability in AI systems. These signals can be audited, scored, and improved systematically — which is why RSOV improvement is measurable within weeks, not years.
Retrieval Share of Voice (RSOV) is the percentage of AI-generated responses, citations, and recommendations in a defined commerce category that include a specific brand — measured across major AI systems over a defined time period.
If your category generates 1,000 AI-cited brand mentions per month and your brand appears in 80 of them — your RSOV is 8%. If your top competitor appears in 340 — their RSOV is 34%. That 26-point gap is your AI visibility deficit. It is measurable, trackable, and closable.
RSOV is to AI Commerce Identity what share of voice was to traditional media: the foundational competitive visibility metric.
Women's Vitamins · RSOV Benchmark
IllustrativePublic methodology. Designed for industry adoption. Full statistical specification including confidence intervals available in the standards document.
Enter your domain. We resolve your brand name and category automatically, query 6 AI systems across your category's standard query set, and return your RSOV score, ADMM level, ACI score, and category benchmark — free, no signup required.
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Your score includes
By running a check, you agree that anonymised category-level data may contribute to the Commerce AI Index. No brand-specific data is published without consent.
First measurable improvements typically appear at 8–12 weeks. All figures are illustrative projections based on typical deployment outcomes.
1,400 product schemas updated. 34 authority signal gaps closed. ChatGPT and Perplexity citation frequency increased 9× in the category's highest-intent queries. ADMM L2 to L4 in two quarters.
Zero AI citation presence at onboarding. First citations appeared at week 11. RSOV reached category median across all 6 monitored AI systems by month 6.
Competitor held 38% RSOV versus brand's 4%. ARIA identified 12 specific queries driving competitor citations. Targeted structure and authority deployment against those queries. Gap narrowed to 9% within one quarter.
* Figures represent projected outcomes based on typical platform deployment. Actual results vary by brand, category, and starting ADMM level.
Weeks to first results
Typical time to first measurable RSOV improvement after full platform deployment.
AI systems monitored
ChatGPT · Google AI · Gemini · Perplexity · Claude · Bing Copilot — continuously.
Citation concentration
of AI citations in a category cluster around 3–4 brands. RSOV shows which queries unlock that cluster.
IndexGrid is not an agency, a content service, or an SEO tool. It is infrastructure — deployed once, running continuously, compounding over time. Three systems that together cover the complete AI Commerce Identity stack. No system works in isolation. All three are required for durable results.
ARIA
Measurement system
ARIA is IndexGrid's measurement infrastructure that produces your RSOV score — the industry-standard metric for AI visibility — continuously across 6 AI systems. It maps your competitive citation landscape at the query level and alerts you when your AI visibility changes.
PIQO
Structure system
PIQO structures your brand and product content so that AI systems can understand it, extract it, and cite it reliably. Most commerce brands are AI-invisible not because they lack authority — but because their content is not structured in a form AI systems can interpret. PIQO closes that gap at the content layer.
ECHO
Authority system
ECHO tracks the external authority signals that AI systems use to evaluate which brands to trust — and maps exactly where your authority is strong, where it is absent, and what to build next. Authority is not built inside your own website — it is built in the sources AI systems trust most.
“Our SEO agency could build RSOV tracking. Why IndexGrid?”
Historical data cannot be purchased retroactively. An agency starting today can track RSOV from now — they cannot tell you what your RSOV was eight months ago, how it moved when a competitor launched, or where the category gap opened. That time-series is the asset. It compounds the longer you wait.
The AI Commerce Identity Score (ACI) is a 0–100 composite of 10 independently auditable signals across the four layers above. It is calculated by deterministic code, not AI judgement — every signal is documented, weighted, and reproducible by any independent auditor.
Your ACI score does two things: it tells you exactly where you stand on the infrastructure your brand needs to be retrieved by AI systems, and it identifies precisely which gaps are responsible for your current RSOV deficit.
Wikidata / Wikipedia entity presence
Does AI have a canonical, machine-readable reference for your brand?
Brand name consistency across sources
Is your brand named consistently across your page, schema, and third-party sources?
Category in Organization schema
Can AI identify which commerce category your brand belongs to from structured data?
Product schema markup completeness
Are your products structured in a form AI can extract, cite, and recommend?
FAQPage schema on product pages
Does your content include extractable Q&A blocks AI systems can surface directly?
Editorial media mentions (12 months)
Have trusted third-party sources described your brand as authoritative in its category?
Third-party review platform presence
Does your brand exist on the platforms AI uses as independent authority references?
YouTube / creator citations
Do creators reference your brand in content AI systems actively index and trust?
Reddit / community discussion
Is your brand part of the peer discussions AI systems use to validate recommendations?
Cross-source entity consistency
Is your brand described consistently and accurately across all external sources AI reads?
Methodology note
Every signal score is independently verifiable. The full ACI scoring specification — including signal definitions, weighting rationale, aggregation method, and version history — is published in the IndexGrid methodology document.
Read the ACI methodologyAn open framework for evaluating a commerce brand's AI visibility infrastructure across five levels. Free to use with attribution. Every level is defined by two independent measures: RSOV position within the category and ACI score. Both dimensions are required — RSOV measures outcomes, ACI measures infrastructure.
Invisible
Near zero · below p5
No measurable AI presence. AI systems cannot reliably identify or categorize the brand across monitored queries.
Indexed
Below p25
Inconsistent AI appearance. Entity recognition exists but authority and semantic signals are weak. RSOV is below category median.
Cited
At or above median
Brand appears in AI responses for primary category queries. RSOV is at or above category median. A baseline AI Commerce Identity exists.
Recommended
Top quartile
Brand is actively recommended for high-intent purchase queries. Authority signals are dense, consistent, and cross-platform.
Authoritative
Top 10%
Primary AI-cited authority in the category. Competitors benchmark against this brand's RSOV. The identity is self-reinforcing.
Attribution required.
Original research, open standards, and quarterly benchmarks. All freely available and designed for independent citation by analysts, journalists, and investors.
The definitive analysis of how AI systems represent, retrieve, and recommend commerce brands. Covers RSOV distribution across categories, maturity model benchmarks, and category-level competitive intelligence.
Download freeRSOV benchmarks across commerce categories. The reference for AI visibility competitive intelligence. Updated every 90 days.
Access the indexComplete technical specification for how RSOV is calculated, validated, and audited. Includes confidence interval methodology and minimum sample size requirements.
Read the methodologyComplete specification for all 10 ACI signals — definitions, weights, measurement methods, and version history. Published for independent verification. Updated quarterly.
Read the ACI frameworkThe five-level framework for evaluating AI visibility infrastructure maturity. Includes RSOV and ACI thresholds, promotion rules, and demotion conditions.
Download the frameworkHow AI systems select citations in commerce contexts. Analysis of citation frequency, authority signals, and retrieval patterns across 6 AI systems.
Read the studyThe RSOV Checker gives you your score, your ADMM level, your ACI Score with signal-level breakdown, your category benchmark, and the AI system where you perform strongest — instantly, free, without a sales call.
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IndexGrid monitors AI Commerce Identity across
