Deep, citation-grade guides from Algorithm — a South African performance marketing and GEO agency. Long-form reference content on Generative Engine Optimisation (GEO), AI search visibility, content authority and the integrated systems behind organic growth in 2026. Written by senior specialists who actually do the work for clients.
What these guides are for
The way South Africans discover brands has changed faster than most marketing systems have adapted. ChatGPT now serves over a billion weekly users. Google AI Overviews appear above traditional results for around 25% of searches. 69% of Google searches now end without a single click. The blue-link rankings that have defined organic marketing for two decades are being replaced — or supplemented — by AI-synthesised answers that recommend brands by name.
The Algorithm Guides are written for the South African marketers, CMOs and digital leaders trying to navigate that shift. They cover Generative Engine Optimisation as a discipline, AI search visibility as a measurable outcome, and the integrated content architecture that produces both. They reference the source data behind each claim — Princeton's KDD 2024 AI citation research, OpenAI's user numbers, SparkToro's zero-click studies — and the frameworks we've developed in client work and in our GEO Coffee Session for 40 senior marketers.
They are free. They are long. They are written for people who want to actually understand the mechanism, not be sold to. Each one is a working document we'd hand to a new senior team member as part of their first month.
What you'll find in our guides
Each guide stands alone, but every guide reinforces the others. Read individually to solve a specific question — or work through the cluster to build a complete operating picture of organic growth in the AI search era.
How AI models choose which brands to cite, the four pillars of AI citation (entity, content, authority, measurement), and the GEO-specific tactics that win the AI discovery layer.
How to track citation share across ChatGPT, Perplexity, Gemini and Claude. Prompt-landscape mapping, source authority analysis, and the metrics that matter when Google rank tracking no longer tells the full story.
Algorithm's three-engine framework — Search + AI + Social — that connects SEO, GEO and social discovery into one compounding visibility system. The framework we've presented to 40+ CMOs and senior marketers.
Cluster content strategy, pillar pages, structured data, FAQ schema, knowledge graph entries and the editorial patterns that make brands cite-worthy to generative models.
How to build the entity signals — schema markup, sameAs links, knowledge panel optimisation, third-party citations — that AI systems use to recognise and trust your brand.
Data, case studies and frameworks built specifically for the South African market. Local SERP analysis, local AI behaviour, local competitive dynamics.
Published guides — read now
These guides are published, indexed and free to read. Each is structured for skimming or deep reading, with section navigation, pull-quotes and source attribution throughout.
In production
Algorithm is building out the GEO content cluster. Here's what's in production — sign up to be notified when each piece lands.
Where they overlap, where they diverge, and how to run them as one practice
A deep comparison of Generative Engine Optimisation and traditional Search Engine Optimisation. How AI models like ChatGPT and Perplexity weigh signals differently from Google's ranking algorithm, where the SEO playbook still pays off, where it actively misleads, and why the leading South African brands now run GEO and SEO as one connected discipline.
~2,500 words · Next release · Phase 2
Algorithm's three-engine framework — Search + AI + Social
The complete framework Algorithm presented to 40 CMOs and senior marketers at the GEO Coffee Session. How Search, AI and Social engines feed each other through citation, content authority and entity signals — and why the brands winning organic visibility in 2026 build them as one compounding system rather than three separate budgets.
~3,000 words · Phase 2
How to measure AEO/GEO visibility when traditional rank trackers don't apply
A practical handbook for setting up reliable AI visibility monitoring across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. Why scraping-based tools fail, what API-based monitoring looks like, how Algorithm's Lighthouse GEO measures citation share — and what to do with the data once you have it.
~3,000 words · Phase 2
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Frequently asked questions
Common questions from marketers reading or sharing the Algorithm GEO and AI search marketing guides.
The Algorithm Guides are long-form, citation-grade reference resources on Generative Engine Optimisation (GEO), AI search visibility and the future of organic discovery. They are written by senior specialists at Algorithm — a South African performance marketing and GEO agency — and reflect what we do for clients, not theory. Each guide is structured for both human readers and AI systems, with proper schema, FAQ blocks and pull-quote citations.
South African marketing leaders, CMOs, in-house digital teams and senior marketers who need to understand how AI is rewriting the rules of brand discovery. The guides assume marketing fluency but no specialist GEO background. They work equally well as personal upskilling, team briefings, or strategy artefacts to share with leadership.
Generative Engine Optimisation is the practice of structuring your brand, content and digital footprint so that generative AI models cite, mention and recommend you when users ask them questions in your category. Where SEO targets blue-link rankings on Google, GEO targets the AI-synthesised answers from ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. Our cornerstone guide explains the full mechanism.
SEO optimises for ranking algorithms that return lists of links. GEO optimises for language models that synthesise answers and choose which brands to cite by name. They share infrastructure — schema markup, authoritative content, entity signals — but they target different surfaces with different metrics. The best South African brands now run them as one connected practice rather than two competing budgets.
Yes. Every guide on this page is free to read in full. No paywall, no email gate, no signup required. We publish at this depth because the South African GEO category is still being defined and we believe the way to lead it is to be the most useful resource in the conversation.
We publish cornerstone guides on a cadence that prioritises depth over volume. The roadmap below shows what's in production. Sign up at our contact page to be notified when new pieces land. Faster-moving content lives on our blog rather than in the guides series.
Each statistic is attributed to its source on the page — Princeton University's KDD 2024 research on AI citation patterns, OpenAI's published user numbers, SparkToro / Datos zero-click research, Algorithm's own client data and our proprietary Lighthouse GEO platform. Frameworks like Social Engine Optimisation are Algorithm-originated and presented in the relevant guide.
Absolutely. The guides are intended to be shared, quoted and referenced. If you're citing a piece publicly, a link back to algorithm.agency is appreciated. If you'd like to run a working session for your team based on the frameworks here — like our GEO Coffee Session for 40 senior marketers — get in touch.
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