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AI Visibility Report · South Africa · Q2 2026

The South African AI Visibility Report 2026

The South African AI Visibility Report 2026 is the most extensive measurement of AI brand recommendations conducted in South Africa to date: 3,417 AI answers and 22,544 source citations analysed across 19 industries and more than 260 brands.

19
industries analysed
260+
brands tracked
3,417
AI answers captured
22,544
source citations logged
Published Q2 2026 · Last updated Q2 2026
What we found

The headline findings

  • In 5 of 19 industries the AI assistants have not settled on a clear leader - the most winnable categories: Short-Term Insurers (Car & Home), Life and Long-Term Insurance, Investment and Asset Management, Private Tertiary Education, IT Managed Services and Systems Integrators.
  • No South African brand scored above 75/100 in any category. The strongest is Payfast in payment providers at 66.3/100 - AI rarely recommends any local brand with full confidence.
  • Household names are named often but recommended rarely: Peach Payments (payment providers), Volkswagen (car brands), Hollywoodbets (betting and gaming), Absa (commercial / corporate banks), Rain (mobile networks) - mentioned frequently yet seldom the actual recommendation.
  • The assistants lean on a small set of sources: businesstech.co.za and hippo.co.za were each cited in 394 answers, businesstech across 17 of the 19 industries, with MyBroadband, Wikipedia and Reddit also shaping answers.
  • The median category leader scores just 48.3/100, so in most industries the AI default is weak and winnable with the right Answer Engine Optimisation.
Key findings at a glance

Who AI recommends in each South African industry

The brand each assistant most often puts forward when a South African asks for the best option, scored 0-100. Click an industry for the full league table.

IndustryAI's most-recommended brandQuality ScoreRace status
Payment ProvidersPayfast66.3/100Clear leader
Car BrandsToyota59.6/100Clear leader
Vehicle TrackingCartrack57.6/100Clear leader
Betting and GamingBetway55.0/100Clear leader
Commercial / Corporate BanksStandard Bank53.8/100Clear leader
Mobile NetworksMTN53.8/100Clear leader
Fibre Network Operators (FNOs)Openserve53.6/100Competitive field
Business / SME BanksFNB53.5/100Clear leader
Medical SchemesDiscovery Health50.8/100Clear leader
Private BanksInvestec48.3/100Competitive field
Fibre ISPsAfrihost47.6/100Competitive field
Estate AgenciesPam Golding46.9/100Competitive field
Business and Commercial InsuranceSantam43.9/100Competitive field
Retail BanksCapitec43.7/100Competitive field
Short-Term Insurers (Car & Home)Santam34.3/100Wide open
Life and Long-Term InsuranceDiscovery Life30.2/100Wide open
Investment and Asset ManagementAllan Gray24.7/100Wide open
Private Tertiary EducationVarsity College25.1/100Wide open
IT Managed Services and Systems IntegratorsNTT26.0/100Wide open
Read the one-line finding for every industry
  • In Payment Providers, Payfast leads AI recommendations with a Quality Score of 66.3/100, while Peach Payments is named often but recommended rarely.
  • In Car Brands, Toyota leads AI recommendations with a Quality Score of 59.6/100, while Volkswagen is named often but recommended rarely.
  • In Vehicle Tracking, Cartrack leads AI recommendations with a Quality Score of 57.6/100.
  • In Betting and Gaming, Betway leads AI recommendations with a Quality Score of 55.0/100, while Hollywoodbets is named often but recommended rarely.
  • In Commercial / Corporate Banks, Standard Bank leads AI recommendations with a Quality Score of 53.8/100, while Absa is named often but recommended rarely.
  • In Mobile Networks, MTN leads AI recommendations with a Quality Score of 53.8/100, while Rain is named often but recommended rarely.
  • In Fibre Network Operators (FNOs), Openserve leads AI recommendations with a Quality Score of 53.6/100, while Frogfoot is named often but recommended rarely.
  • In Business / SME Banks, FNB leads AI recommendations with a Quality Score of 53.5/100, while Capitec is named often but recommended rarely.
  • In Medical Schemes, Discovery Health leads AI recommendations with a Quality Score of 50.8/100, while Bonitas is named often but recommended rarely.
  • In Private Banks, Investec leads AI recommendations with a Quality Score of 48.3/100, while Absa Private Bank is named often but recommended rarely.
  • In Fibre ISPs, Afrihost leads AI recommendations with a Quality Score of 47.6/100, while Webafrica is named often but recommended rarely.
  • In Estate Agencies, Pam Golding leads AI recommendations with a Quality Score of 46.9/100, while Seeff is named often but recommended rarely.
  • In Business and Commercial Insurance, Santam leads AI recommendations with a Quality Score of 43.9/100.
  • In Retail Banks, Capitec leads AI recommendations with a Quality Score of 43.7/100, while Nedbank is named often but recommended rarely.
  • In Short-Term Insurers (Car & Home), the assistants have no clear favourite yet - Santam only leads on a low Quality Score of 34.3/100, leaving the category wide open.
  • In Life and Long-Term Insurance, the assistants have no clear favourite yet - Discovery Life only leads on a low Quality Score of 30.2/100, leaving the category wide open.
  • In Investment and Asset Management, the assistants have no clear favourite yet - Allan Gray only leads on a low Quality Score of 24.7/100, leaving the category wide open.
  • In Private Tertiary Education, the assistants have no clear favourite yet - Varsity College only leads on a low Quality Score of 25.1/100, leaving the category wide open.
  • In IT Managed Services and Systems Integrators, the assistants have no clear favourite yet - NTT only leads on a low Quality Score of 26.0/100, leaving the category wide open.
What the score means

The AI Visibility Quality Score

The AI Visibility Quality Score is a 0-100 measure of how strongly AI assistants put a brand forward. It combines how often the brand is named with the rank position it is given in each answer, averaged across all 180 AI answers per industry (20 buyer-intent questions, asked to three assistants, repeated three times). Answers that do not name the brand count as zero. Whether a brand is actively recommended or merely listed is reported separately, as the Mentioned vs. Recommended measure.

Why this matters

How AI is changing brand discovery

South African buyers increasingly open their search not on Google but inside an AI assistant - "what is the best provider for me?" The assistant answers with a short, confident list. The brands it names enter the consideration set; the brands left off never get a chance. This report measures who the assistants name, recommend and rank across the industries South Africans buy in. For the wider shift behind these numbers, see how AI search is changing traffic.

What we measured

How the report was built

We asked ChatGPT (OpenAI), Claude (Anthropic) and Gemini (Google) - each with live web search enabled - the real buyer-intent questions South Africans ask. Twenty questions per industry, asked to three assistants, repeated three times each: 180 answers per industry, 3,417 in total. For every answer we captured which brands were named, which were actively recommended, and where they ranked, then scored each brand on the 0-100 Quality Score.

These Q2 2026 figures were restated alongside the Q3 2026 edition with improved brand matching: a brand named through its parent company or a combined name (for example "Matrix (by MiX Telematics)") is now counted, and a bare group name is no longer credited to a differently named subsidiary. No answers were re-collected.

Read the full methodology →

The sources AI reads

Which websites shape AI answers about South African brands

Across all 19 industries, these are the domains the assistants cited most often. Earning presence on these sources is one of the most direct ways to influence what AI recommends.

Source domainTimes citedIndustries
businesstech.co.za39417
www.hippo.co.za39413
mybroadband.co.za35118
en.wikipedia.org27419
techpoint.africa2628
www.reddit.com25318
www.autotrader.co.za2443
www.investec.com1887
www.rateweb.co.za1879
www.wisemove.co.za1845
www.insuranceza.co.za1813
moneytoday.co.za1719
www.cars.co.za1693
www.govchain.co.za1654
www.absa.co.za1638
FAQ

Frequently asked questions

What is the South African AI Visibility Report?

It is a study by MO Agency measuring how the leading AI assistants - ChatGPT, Claude and Gemini - recommend brands to South African buyers. It analysed 3,417 AI answers and 22,544 source citations across 19 industries and more than 260 brands, scoring each brand on a 0-100 AI Visibility Quality Score.

What is an AI Visibility Quality Score?

The AI Visibility Quality Score is a 0-100 measure of how strongly AI assistants put a brand forward. It combines how often the brand is named with the rank position it is given in each answer, averaged across all 180 AI answers per industry (20 buyer-intent questions, asked to three assistants, repeated three times). Answers that do not name the brand count as zero. Whether a brand is actively recommended or merely listed is reported separately, as the Mentioned vs. Recommended measure.

Which AI assistants were tested?

ChatGPT (OpenAI), Claude (Anthropic) and Gemini (Google), each with live web search enabled, asked the real buyer-intent questions South Africans ask.

How can a brand improve its visibility in AI answers?

Brands improve AI visibility through Answer Engine Optimisation (AEO): publishing clear, structured, citable content, strong entity and schema markup, and authoritative third-party sources the assistants read. MO Agency offers AEO services to close these gaps.

Cite this report

Reference

Cite this report: MO Agency (2026). The South African AI Visibility Report 2026. https://www.mo.agency/ai-visibility-report-south-africa

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The South African AI Visibility Report 2026 · MO Agency · Q2 2026
These Q2 2026 figures were restated alongside the Q3 2026 edition with improved brand matching: a brand named through its parent company or a combined name (for example "Matrix (by MiX Telematics)") is now counted, and a bare group name is no longer credited to a differently named subsidiary. No answers were re-collected.