Pick n Pay in AI search.
JSE-listed grocery and general merchandise retailer with over 2,000 stores across South Africa and southern Africa, founded 1967.
Brands AI groups Pick n Pay with.
Each peer is a retail brand that surfaces in roughly the same AI search queries as Pick n Pay. Edge density reflects how often AI engines mention them in the same response.
The observation.
Across 204 AI search citations measured this quarter, complaint sites surfaced 0.0% of the time when LLMs were asked about Pick n Pay; the brand's own domain surfaced 0.0%. Net narrative control sits at 0.0, vs an industry baseline of 0.5.
Where AI is looking.
The cited domains, grouped by category. Where a single source over-indexes, it disproportionately shapes how AI engines describe Pick n Pay to users.
- pick-n-pay.pissedconsumer.com14
- trustpilot.com6
- businesstech.co.za71
- dailyinvestor.com57
- sagaciresearch.com23
- mybroadband.co.za21
How the engines differ.
Each LLM retrieves and ranks sources differently. A remediation that lifts visibility in one model may produce no measurable change in another.
Competitive context.
Pick n Pay measured against the other retail brands in our quarterly index. Click through for each brand's full report.
Spar
Pick n Pay
Checkers
Woolworths
What we’d do.
Three remediation actions ranked by projected lift to net narrative control. Projections from our remediation model, not commitments — actual lift depends on execution quality.
HelloPeter sub-1h response SLA on top 12 open Pick n Pay complaints.
BusinessTech contributor pitch on private-label growth and supply-chain digitisation in SA retail.
Wikipedia 2026 leadership refresh + Wikidata Q-ID enrichment.
Common questions,
answered straight.
How is "net narrative control" calculated?+
Net narrative control = own-domain citation share minus complaint-site citation share, expressed as percentage points. Range is −100 to +100. It describes the citation pattern observed for a brand across measured AI search queries; it is not a judgement of the brand itself.
Where does the data for Pick n Pay come from?+
Each quarter we run 204+ AI search queries about Pick n Pay across ChatGPT, Claude, and Gemini. The citations the engines return are extracted, deduplicated, and categorised against a published source taxonomy. The full methodology is at /methodology.
How do I dispute or correct a number on this page?+
Use the "Request a correction" form in section §6 (or email legal@citedbrands.co.za for larger disputes). We review every correction within 5 business days and publish updates alongside the original record.
Is Cited Brands affiliated with Pick n Pay?+
No. Cited Brands (Pty) Ltd is an independent research and SaaS company. We have no commercial relationship with Pick n Pay unless explicitly stated. Trademark and brand names are used here for purposes of comment, criticism, research, and reporting in line with section 12 of the SA Copyright Act 98 of 1978 and nominative trademark fair use.
Request a correction.
We review every correction within 5 business days. Larger disputes: legal@citedbrands.co.za.
See your own brand's scorecard, then
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The Cited Brands platform runs this measurement for your brand every week, then executes the recommended remediation actions for you.