Competitive intelligence for MerchantHQ · ChatGPT (gpt-4o + web search) · round 1 + round 2 combined

Who cites Merchant Advice Service[1]

542 real buyer-phrased prompts across two rounds (217 round 1, 8 Aug + 325 round 2, 9 Aug), scoped to Merchant Advice Service's (MAS) own actual site content: card machines and readers, high-risk merchant accounts (the verticals MAS actually covers, gambling, adult, travel, CBD, vape, crypto), trade-specific picks, EPOS/POS, payment gateways, compliance mechanics, broker-vs-direct framing, and brand-vs-brand comparisons. Round 2 deliberately added more generic superlative head-terms ("best card machine UK" and similar, because MAS's own site targets those terms directly, unlike MerchantHQ which avoids them by design), plus prompts aimed squarely at MAS's own free/unbiased/whole-of-market/no-sales-calls positioning, plus broad comparison-style prompts matching the shape that appears to win for recurring non-whitelisted competitors (businessexpert.co.uk, expertsure.com, merchantswitch.com and others). Business banking, merchant finance/cash advance, open banking, direct debits and loyalty (all real MAS categories) stayed scoped out at Adam's request to keep this a payments-only comparison throughout. Run through ChatGPT with live web search forced on and scanned for every citation and every named acquirer, terminal brand, or broker, including MerchantHQ itself, for a direct head-to-head on MAS's own broader turf.

Run: 8-9 Aug 2026 (round 1 + round 2) Model: gpt-4o, GB location, search forced Engine: ChatGPT only
01 Headline numbers
across all 542 scoped prompts (round 1 + round 2)
02 Who gets named most
whitelist match against known UK lenders/brokers · top 20
03 Who backs whom
the domain(s) ChatGPT cites when describing each provider
ProviderNamed inBacking sources (highest count first)
04 All 542 prompts
PromptCitesSourceFirstOptionOther domains cited