Services

The Africa State Series · annual study

Content Strategy

The State of AI Visibility in Africa.

In 2025, discovery began moving from ranked links toward generated answers. African organisations now need to measure whether AI systems know, describe and cite them accurately, while recognising that classic SEO remains the foundation.

  • AnnualNext edition February 2027
  • Public evidenceSources named, limits stated
  • Africa is pluralCountry coverage on every figure
The State of AI Visibility in Africa, the take-away bookFree PDF and The Prompt PanelThe take-away book of the 2026 edition

Latest edition

2026

Published 5 September 2026. Evidence to August 2026.

The decision it serves

How to become discoverable and cited in AI-led search.

Central finding, 2026

What changed in AI-mediated discovery in 2025 and the operating agenda for 2026.

AI visibility became a distinct management problem in 2025. Search and chat products widened access to generated answers, but a brand can be visible without earning a click, cited without being described correctly, or absent because its strongest evidence is not accessible, local or machine-readable.

How the study works

One method, kept stable year to year

Public evidence first: official statistics, platform and industry datasets, then reproducible audits of public material. Every figure carries its source, geography and collection date. Continent-wide language is used only where a finding holds across at least three regions and seven markets; otherwise it is labelled by country.

The original layer

What this study measures

A prompt benchmark across leading answer engines: a fixed panel of branded, unbranded, comparative, local-intent and trust prompts, run repeatedly across engines, markets and languages, scored for presence, citation, accuracy and local relevance.

Report outline

Six chapters, every year

  1. How African discovery changed in 2025
  2. The Africa AI Visibility Index: category and market benchmarks
  3. What AI systems cite, omit or misstate
  4. Local-language and local-authority gaps
  5. The practical stack: technical access, entities, evidence and distribution
  6. A 90-day AI visibility measurement plan

Editions

One edition a year.

  1. 2026

    What changed in AI-mediated discovery in 2025 and the operating agenda for 2026.

    Read
  2. 2027
    Coming February 2027

    The second edition, with the first year-on-year comparison.

    Get it first through Ground Truth

Where this lands

This study maps to Content Strategy.

The study's 2026 approach is to publish original, local, citable evidence in the languages and formats machines can read. Deciding what that evidence is, who it answers and where it lives is the work of the Content Strategy Sprint.