Grocery & Supermarkets · #10 by 2025 U.S. retail sales ($81.77B)
Measured at www.albertsons.com on 2026-09-01
Each pillar shows the points earned against the maximum that was actually observable. Where a signal could not be observed it is removed from both sides rather than scored as a failure.
| Identity | 4.5 / 6 | |
| Identifiers | 4 / 12 | |
| Attribute depth | 0 / 7 |
| Descriptive content | 3.5 / 6 | |
| Imagery | 3.3 / 5 | |
| Ratings and reviews | 0 / 6 | |
| Catalog consistency | 3 / 3 |
| Public pricing | 4.4 / 5 | |
| Stock visibility | 2.5 / 4 | |
| Shipping in markup | 0 / 4 | |
| Return policy in markup | 0 / 4 | |
| Un-gated access | 3 / 3 |
| Product markup | 3 / 6 | |
| Required-field completeness | 1.3 / 5 | |
| Recommended-field depth | 0.4 / 5 | |
| Variant expression | 0 / 4 |
| Crawler access to products | 4 / 4 | |
| AI crawler stance | 3 / 4 | |
| Product sitemap | 3 / 4 | |
| Agent surfaceplatform | 0 / 3 |
We read every sampled page twice — once as a plain crawler reading your published markup, once through an extractor. Where the two disagree, an agent is likely to disagree too.
gtin
sku
1 of 2 compared pages lost at least one identifier in extraction.
| robots.txt readable | yes |
| AI crawler stance | no AI user-agents named (an absent rule permits the crawler) |
| Sitemap | yes, including a product sitemap |
| UCP profile | none at /.well-known/ucp — this is not evidence against adoption |
| llms.txt | none |
Drawn by seeded random selection from your own product sitemap — 40,000 candidate product URLs, seed "anglera-legibility-2026". Same seed, same pages, every time. Open any of them and check our arithmetic.
| Page | Markup | Attributes | Images | GTIN |
|---|---|---|---|---|
| /shop/pd/lucerne-smore-whipped-topping-13-oz-13-oz/971294327 | Product | 0 | 5 | valid |
| /shop/pd/columbia-crest-two-vines-shiraz-wine-750-ml/189051657 | other JSON-LD | 0 | 3 | — |
| /shop/pd/pez-egg-with-mini-dispenser-easter-58-oz/970088449 | other JSON-LD | 0 | 3 | — |
| /shop/pd/sherry-vinegar-8-50-oz-8-50-oz/970058296 | other JSON-LD | 0 | 2 | — |
| /shop/pd/starbucks-strawberry-coconut-drink-grande-ea/970414632 | Product | 0 | 2 | — |
| /shop/pd/grace-ct-hot-curry-powder-3-oz/960164659 | other JSON-LD | 0 | 5 | — |
| /shop/pd/michel-christmas-snow-candle-mini-ea/970120051 | other JSON-LD | 0 | 2 | — |
| /shop/pd/dickinsons-pore-perfecting-toner-with-free-offer-counter-display-9-ea/971392792 | other JSON-LD | 0 | 2 | — |
hasVariant an agent sees unrelated products.It is not an audit and not a judgement of the business — it is a 8-page sample taken on a stated date, scored on a published rubric with no model judgement in it. Nothing here predicts whether any assistant will recommend you; for most answer engines that is decided by a private merchant feed we cannot see. If a number here is wrong, tell us and it goes in the public corrections log.
This scorecard is a sample — eight product pages, drawn at random from a published seed. It tells you where Albertsons stands, not which SKUs are costing you. We’ll run a real sample of the whole catalog through the same extractor and send back the fields that are missing, by product.
Everything above stays free either way — the rubric, the sampled pages, the dataset, and every other company’s scorecard.