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Health · a live data story

Opticians & Eyecare,
according to AI

Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about opticians & eyecare — and record exactly which brands they put forward. Right now, Specsavers owns the conversation.

0 AI answers this run · 0 brands named · measured, never estimated

The podium

Specsavers is the default answer.

Named in 27% of opticians & eyecare answers, typically in position 1.7. Tesco Opticians follows at 20%, Vision Express at 20%.

Tesco Opticians
20% of answers
Specsavers
27% of answers
Vision Express
20% of answers
The full board

Every brand AI names, ranked.

Visibility is the share of answers naming the brand; citation share is its slice of all brand-owned pages cited; read→cited is how often its pages convert a read into a citation.

#BrandVisibilityAvg. positionCitation shareRead→cited
1Specsavers 27% 1.7 33% 16%
2Tesco Opticians 20% 3.3 0% —
3Vision Express 20% 3.3 10% 57%
4Boots Opticians 18% 2.7 14% 24%
5GlassesDirect 10% 3.5 11% 33%
6SelectSpecs 7% 2.0 7% 67%
7Asda Opticians 7% 3.3 0% —
8Direct Sight 5% 2.0 4% 43%
9Specscart 5% 3.3 6% 50%
10Glasses2You 3% 5.0 4% —
11Eye Emporium 2% 2.0 1% 50%
12Firmoo 2% 2.0 1% —
13Next Day Spex 2% 3.0 1% 50%
14SmartBuyGlasses 2% 3.0 1% 100%
15Burghley & Co 0% — 2% 0%
What AI wants here

Boots Opticians is the opticians & eyecare brand AI wants most.

Being named is visibility. Underneath it, asked to rate each brand directly, the AI assistants judge it three ways — how much it stands out, how much it belongs, and how much it is returned to. They put 16% of the 38 brands rated above indifference. Boots Opticians leads the brands the answers name, at 76% of maximum Desire. On attachment, the most divided driver, Boots Opticians indexes 136 against IOptical at 75, on a category average of 100.

Attachment
Boots Opticians136
IOptical75
61-point spread
Attraction
Specsavers128
IOptical81
47-point spread
Affinity
Boots Opticians124
Low Cost Glasses Online81
43-point spread
Boots Opticians: Attraction 122, Affinity 124, Attachment 136
Boots Opticians
Above indifference · Ahead on all three
Specsavers: Attraction 128, Affinity 121, Attachment 130
Specsavers
Above indifference · Ahead on all three
Vision Express: Attraction 110, Affinity 110, Attachment 119
Vision Express
Above indifference · Ahead on all three
AttractionAffinityAttachment

Each whorl lights one ring per index threshold cleared (84 / 92 / 100 / 108 / 116). Above indifference means Desire above two-thirds of its maximum. See the full opticians & eyecare desire edition →

Who AI trusts here

The referees of opticians & eyecare.

The independent sources AI models cite when answering opticians & eyecare questions — the places a brand needs to be seen, reviewed and ranked.

nhs.uk 27 cites
reddit.com 7 cites
glassescompared.co.uk 4 cites
hse.gov.uk 4 cites
opticalrevolution.co.uk 4 cites
moneysavingexpert.com 3 cites
optometrists.org 3 cites
treatcompare.com 3 cites
abdo.org.uk 2 cites
cdc.gov 2 cites
Read is not cited

SelectSpecs converts reads into citations. Specsavers doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? SelectSpecs converts 67% of reads; Specsavers just 16%. That gap is a content problem, not a visibility problem.

SelectSpecs · read 6×67%
Vision Express · read 7×57%
Direct Sight · read 7×43%
GlassesDirect · read 12×33%
Boots Opticians · read 25×24%
Specsavers · read 55×16%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1Specsavers27%1.733%16%
2Tesco Opticians20%3.30%—
3Vision Express20%3.310%57%
4Boots Opticians18%2.714%24%
5GlassesDirect10%3.511%33%
6SelectSpecs7%2.07%67%
7Asda Opticians7%3.30%—
8Direct Sight5%2.04%43%
9Specscart5%3.36%50%
10Glasses2You3%5.04%—
11Eye Emporium2%2.01%50%
12Firmoo2%2.01%—
13Next Day Spex2%3.01%50%
14SmartBuyGlasses2%3.01%100%
15Burghley & Co0%—2%0%
Which AI you ask

All three models agree: Specsavers.

A rare consensus — every model puts Specsavers first, and their top-five lists overlap 67%. Winning here means winning everywhere at once.

Claude recommends
Specsavers
named in 20% of its answers
Gemini recommends
Specsavers
named in 30% of its answers
ChatGPT recommends
Specsavers
named in 30% of its answers

Brands whose visibility swings most between models — the bar per model, widest gap on the right.

GlassesDirect 15pp
Specsavers 10pp
Vision Express 10pp
Tesco Opticians 10pp
Direct Sight 10pp
Asda Opticians 10pp
Specscart 10pp
Glasses2You 10pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
GlassesDirect0%15%15%15pp
Specsavers20%30%30%10pp
Vision Express15%25%20%10pp
Tesco Opticians15%25%20%10pp
Direct Sight10%0%5%10pp
Asda Opticians10%10%0%10pp
Specscart5%10%0%10pp
Glasses2You0%10%0%10pp
Boots Opticians15%20%20%5pp
Next Day Spex5%0%0%5pp
What AI reads here

Editorial carry opticians & eyecare.

Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; How-to guides convert best — 85% of the ones models opened were actually cited.

Editorial
112 cited · 37 read only
75% of reads cited
How-to guides
89 cited · 16 read only
85% of reads cited
Product pages
39 cited · 11 read only
78% of reads cited
pricing
26 cited · 7 read only
79% of reads cited
Comparisons
20 cited · 6 read only
77% of reads cited
Other
18 cited · 18 read only
50% of reads cited
category-page
18 cited · 4 read only
82% of reads cited
faq
17 cited · 4 read only
81% of reads cited
The data behind this chart
Page typeCitedRead but not citedConversion
Editorial1123775%
How-to guides891685%
Product pages391178%
pricing26779%
Comparisons20677%
Other181850%
category-page18482%
faq17481%
What gets cited

Structured data is what separates cited from ignored.

Of the opticians & eyecare pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 17 percentage points; cites its sources pages fare 53pp worse. Measured within the read population, so selection can't flatter it.

Structured data +17pp
Answer up front +8pp
Updated this year -1pp
Named author -4pp
Specifications -7pp
Comparison table -12pp
Hard statistics -28pp
Cites its sources -53pp
The data behind this chart
FeaturePages withCited %Pages withoutCited %Difference
Structured data33480%19563%+17pp
Answer up front26978%26069%+8pp
Updated this year16073%36974%-1pp
Named author16271%36775%-4pp
Specifications3067%49974%-7pp
Comparison table8763%44276%-12pp
Hard statistics11551%41480%-28pp
Cites its sources3324%49677%-53pp
Citation readiness

Zenni Optical builds pages AI can quote.

Readiness scores each brand's own pages on the structure models reward — a direct answer up front, tables, hard numbers, named authors, structured data, recency, specifications. Zenni Optical is the widest gap: well-built pages that still aren't converting into citations.

BrandReadinessPages citedPages profiled
Zenni Optical 35 0% 10
Burghley & Co 30 60% 5
Scrivens 28 6% 31
GlassesDirect 27 42% 24
Leightons 26 8% 37
Boots Opticians 25 8% 145
Optical Express 24 6% 32
Specscart 23 45% 20
Specsavers 23 18% 177
Ace & Tate 21 17% 6

Readiness is the share of eight measurable structural signals present on a brand's profiled pages. It is a build-quality measure, not a ranking of the brand.

What the answers answer

The questions opticians & eyecare pages have to settle.

Read straight off the pages AI cited: the consumer questions cited content answers most often. Content that fails to settle these is content models have no reason to quote.

What is the 20-20-20 rule?
What is computer vision syndrome?
What is eye strain?
What are the eyewear trends for 2026?
What are the symptoms of presbyopia?
What is presbyopia?
What causes presbyopia?
How much do glasses cost?
Keep exploring

Nineteen more categories.

Method: 20 unbranded consumer prompts per category, spread across the buying journey, run weekly against ChatGPT, Claude and Gemini. Read→cited uses Claude and ChatGPT only (Gemini does not separate the two). Correlational observations of model behaviour at the time of the run. Data from the run completed Sat, 17 Oct 2026 13:13:13 GMT.

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