# 27 of 60: Nearly Half the Domains Leading AI Shopping Answers Haven't Cleared the Evidence Floor

> Across the six published buyer-question shapes in the Machine Relations Index's Consumer Products category, 27 of the 60 top-ten citation slots belong to domains still graded 'collecting' overall — below the evidence floor that would make their rate stable. Most of the leaderboard is unclassified brand and retailer sites, not the household editorial or vendor names GEO advice assumes.

- Published: 2026-09-20
- URL: https://paralabs.ai/blog/consumer-products-ai-shopping-leaderboard-collecting-confidence-2026
- Tags: ai-visibility, brand-visibility, commerce, measurement, consumer-products

---

A brand team benchmarking against whoever sits at rank 1 in ChatGPT's or Gemini's shopping answers is often benchmarking against a domain the [Machine Relations Index](https://machinerelations.ai/index) itself has not finished measuring. Across the six published buyer-question shapes in the Consumer Products category, 27 of the 60 top-ten citation slots — 45% — belong to domains whose overall confidence grade is still **collecting**: cited, but not yet across the evidence floor of 10 observed runs on 7 distinct dates that the Index requires before it treats a rate as stable.

This is not a claim that those domains are undeserving. It is a claim that the leaderboard a brand team screenshots today is, nearly half the time, still assembling the sample size that would make its rank mean anything next week.

## The measurement

The source is the public view of the Machine Relations Index, contract `machine_relations_index_public_view_v2.0`, methodology `mri_score_v2.0`, release `mri_score_v2.0+2026-09-20+47973f373a20`. The [machine-readable release](https://machinerelations.ai/data/machine-relations-index.json) carries every number below.

| Field | Value |
| --- | --- |
| Window | 2026-05-10 to 2026-09-20, 127 days observed |
| Answer runs | 16,039 |
| Citation events | 126,271 |
| Cited source domains | 22,320 |
| Engines | ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews, Perplexity |
| Evidence floor per segment | 10 observed runs across 7 distinct run dates |
| Confidence grades (domain, whole-index) | A, B, C, collecting — by observation volume and consistency across the whole 127-day window, not one segment |

Consumer Products is one of the Index's 25 categories and publishes all six question shapes: three shopping shapes (`best_x`, `top_list`, `x_vs_y`) and three decision shapes (`how_choose`, `is_x_worth`, `problem_first`). Every rank below is the release's own published `category_signals[].rank`, read with its `total` beside it, never re-derived by sorting — the Index uses competition ranking, so a re-derived sort under-counts tied domains at high positions.

## The top ten, shape by shape

| Shape | Segment size | Top-10 slots at collecting confidence |
| --- | --- | --- |
| Best X | 318 domains | 2 of 10 |
| Top lists | 380 domains | 4 of 10 |
| X vs Y | 268 domains | 5 of 10 |
| How buyers choose | 427 domains | 5 of 10 |
| Is it worth it | 228 domains | 4 of 10 |
| Problem-first research | 216 domains | 7 of 10 |

Problem-first research is the worst case: 7 of its top 10 cited domains — [dialavet.com](https://dialavet.com), [dogster.com](https://dogster.com), [epa.gov](https://epa.gov), [royalkennelclub.com](https://royalkennelclub.com), [nopickydog.com](https://nopickydog.com), [petco.com](https://petco.com) and [canidae.com](https://canidae.com) — carry no stable overall rate. Best X is the most stable shape, but even there, [mealfan.com](https://mealfan.com) and [ulta.com](https://ulta.com) sit at rank 8 and 9 on collecting-grade evidence, tied at the same citation count as [healthline.com](https://healthline.com), a domain the Index rates B-confidence on far more accumulated volume.

The pattern holds across shapes that look otherwise unrelated. In `how_choose`, [koraorganics.com](https://koraorganics.com), [cerave.com](https://cerave.com), [colorescience.com](https://colorescience.com), [ningcos.com](https://ningcos.com) and [brightgirl.com](https://brightgirl.com) fill five of the top ten. In `x_vs_y`, [wefeedraw.com](https://wefeedraw.com), [seed.com](https://seed.com), [zoopy.com](https://zoopy.com), [bemytravelmuse.com](https://bemytravelmuse.com) and [nubest.com](https://nubest.com) do the same. None of these domains is wrong to be cited — they are being cited, in this window, at this rate. What collecting-confidence means is that the Index has not yet observed enough distinct run dates to say the rate will hold.

## It is also not the leaderboard GEO advice assumes

Most brand-visibility guidance talks about "beating Forbes" or "getting into vendor comparison lists" — editorial media and vendor-owned sources. Across the same 60 top-ten slots, the source-role breakdown is:

| Source role | Top-10 slots (of 60) |
| --- | --- |
| Uncategorized source (unclassified brand, retailer or niche site) | 38 |
| Editorial media | 10 |
| Platform/search (YouTube) | 6 |
| Community/social (Reddit) | 5 |
| Academic/government | 1 |
| Vendor-owned | 0 |

Sixty-three percent of the slots that actually win Consumer Products shopping and decision answers are domains the Index's nine source-role classes do not sort into any of the eight named categories — not Forbes-style editorial, not a vendor's own site, not a review platform. They are the brand and category sites themselves: [whowhatwear.com](https://whowhatwear.com), [outdoorgearlab.com](https://outdoorgearlab.com), [chewy.com](https://chewy.com), [dogfoodadvisor.com](https://dogfoodadvisor.com), [petmd.com](https://petmd.com), [walmart.com](https://walmart.com). A brand team optimizing for "get Forbes to mention us" is optimizing for 10 of 60 slots and ignoring the class that actually holds most of them.

## What this means for a brand team

Two separate checks before a competitor's AI citation rank changes a strategy:

1. **Read the confidence grade before the rank.** A rank-1 position on collecting-grade evidence is a small-sample lead, not a market position. The Index publishes both fields on the same domain record; a rank without its confidence grade is half the number.
2. **Look past the classified source-role classes.** Most of what wins a shopping-shape answer in Consumer Products is not Forbes, not a vendor comparison page, and not a review platform — it is an unclassified brand or category site. The domain to study is the one actually sitting in the top ten, not the class of domain most GEO commentary assumes wins.

## Method and sources

Every domain, rank and confidence grade above is read directly from the public Machine Relations Index release `mri_score_v2.0+2026-09-20+47973f373a20`: `relative_signal.category_signals[]` filtered to `category: "consumer-products"`, `status: "published"`, for `rank <= 10` in each of the six shapes, cross-referenced against each domain's own `mri_score_v2.overall.confidence`. Nothing here is re-derived by sorting a segment on citation rate — every rank and total is the release's own published field. Correlation only: which domains the Index observed being cited, and at what confidence, over this window. It is not a claim about why, or that today's rank predicts tomorrow's.

## Machine-readable related links

- Primary concept: [Ai Visibility](https://paralabs.ai/blog)
- Related concept: [Brand Visibility](https://paralabs.ai/blog)
- Related concept: [Commerce](https://paralabs.ai/blog)
- Related concept: [Measurement](https://paralabs.ai/blog)
- Supporting research: [Amazon Is Classified as an Editorial Publication in AI Citation Trackers — Ranked #7 of 1,230](https://paralabs.ai/blog/amazon-editorial-publication-misclassification-2026)
- Supporting research: [Shopping-Shape Carriers, Re-Measured: 6 of 7 Vendors That Hold Two Shopping Shapes Also Hold a Top-10 Decision-Question Slot. 3 of 25 Single-Shape Vendors Do.](https://paralabs.ai/blog/shopping-shape-carriers-decision-question-citation-2026)
- Supporting research: [Shopping-Shape Cross-Section: In 26 of 33 Cases a Vendor Holds a Top-10 AI Citation Slot in Only One Question Shape](https://paralabs.ai/blog/vendor-citation-shopping-question-shape-cross-section)
- Research index: [Para Labs research index](https://paralabs.ai/blog)
- Machine manifest: [Para Labs machine manifest](https://paralabs.ai/machine-manifest.json)