Retail and consumer goods: famous everywhere except the answer

The SetpointHQ Index · Sector report 2 of 14

Everyone in Britain can name these 10 employer brands. The AI assistants candidates now ask first can name them too. What the assistants will not do, on the evidence of this week’s scoring run, is recommend them.

Each week The SetpointHQ Index scores 100 UK employer brands on how visible they are to AI assistants. We put real candidate questions to ChatGPT, Claude, Gemini and Perplexity and score 5 dimensions: citation (do the assistants name you), schema (does your site give machines structured data to read), knowledge graph (do the machines know who you are), crawlability (can AI crawlers get in) and social footprint. Week 1 covered banking. This week: retail and consumer goods. If the difference between ranking and being cited is new to you, start with SEO versus GEO.

The full table

Composite score out of 100. Scored in the Index run of 12 July 2026, published 13 July 2026.

A healthy sector, until you look closer

On the headline numbers, retail and consumer goods is doing well. A median composite of 57.0 against 52.8 across the full Index places it 3rd of the 14 sectors we track. Unilever leads at 67.9, John Lewis Partnership takes second at 61.3, and only 3 brands fall below the Index median.

The trouble sits in the one dimension that most directly produces applications. Citation measures whether the assistants actually name a brand when a candidate asks where to work. The sector median is 25.0 out of 100. Tesco leads at 47.5. Four brands score below 23.

Set that against the knowledge graph column, where 6 of the 10 brands score 97 or higher. The machines can recite these companies’ store counts, market share and corporate history in detail. Known and recommended are different things, and the distance between them is where this sector’s applications are quietly leaking.

The schema split

The strangest pattern in the data is in the schema column, the machine-readable layer that tells an assistant who you are and what roles you have open. The sector splits clean down the middle. John Lewis Partnership scores 80, ASDA and Morrisons 70. Then the floor drops: Tesco 25, Marks & Spencer 5, Sainsbury’s 0. That last number is not a rounding artefact. Every one of the 9 structured data checks we run against Sainsbury’s came back empty.

These brands compete for the same hourly workers, the same graduates and the same store managers, often on the same retail parks. Some publish structured, parseable role data. The others leave the machines to guess, and the citation column shows how the machines respond to guesswork.

The cost asymmetry makes the split stranger still. These are organisations that spend millions making candidates feel something about working there. The markup that lets a machine simply read the jobs costs almost nothing, and half the sector has not done it. Expensive things get budgets and effective things get forgotten. If you have never had yours checked, the free careers site audit covers exactly this.

What this means for a TA leader

First, nobody in UK retail owns the AI answer yet. The sector’s best citation score is 47.5, and week 1’s banking cohort showed the same pattern. The seat at the top of the answer is empty, and the first mover takes it cheaply.

Second, the technical work is unevenly distributed in a way that has nothing to do with size. John Lewis Partnership is a fraction of Tesco’s scale and comfortably out-structures it. This is an attention problem, not a budget problem.

Third, recognition is a depreciating shield. Assistants are becoming the first place candidates ask, and every month a famous brand is absent from those answers, the habit of not seeing it hardens.

On Friday we publish the deep dive on one brand from this table. The finding, not the alphabet, picks which.

Source: The SetpointHQ Index, 100 UK employer brands, scored monthly. Explore the full Index at pro.setpointhq.com/the-index.