HUBSPOT ELITE PARTNER

Generative Engine Optimisation (GEO) Agency in South Africa

Shape how ChatGPT, Claude, Gemini, and Perplexity describe, compare, and recommend your brand.

MO Agency runs Generative Engine Optimisation (GEO) programmes for enterprise and growth-led companies in South Africa. GEO is the practice of influencing how generative AI systems represent your brand across every output they produce: direct answers, summaries, side-by-side comparisons, and recommendations. It is broader than Answer Engine Optimisation (AEO), which focuses on getting cited inside a single answer. We run GEO and AEO on our own AI-readability platform, Getmd.ai, measuring how models represent your brand and your share of voice across the engines your buyers use.

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WHY MO AGENCY

The facts behind our Generative Engine Optimisation work

MO Agency was founded in 2011 and is a HubSpot Elite Partner, ranked 16th globally for HubSpot sold and implemented, with 500+ CRM implementations and offices in Johannesburg, Cape Town and London.

Our Generative Engine Optimisation practice began in June 2025, and by the end of 2025 we had built Getmd.ai to track prompts and AI visibility. We run AEO and GEO for enterprise clients including Netstar, Dotsure, Wilderness, Spoor & Fisher, Astron Energy, Vukile, Altron and Teraco, from R22,500 per month. MO Agency is the only South African AEO agency running its own AI-readability infrastructure (Getmd.ai) and publishing an independent industry benchmark, the South African AI Visibility Report, covering 19 industries.

GENERATIVE ENGINE OPTIMISATION

What is Generative Engine Optimisation (GEO)?

Generative Engine Optimization (GEO) is the discipline of shaping how generative AI systems represent your brand across everything they generate: answers, summaries, comparisons, recommendations, and conversational replies. Where SEO optimises for ranked links on a results page and AEO optimises for being cited inside a single answer, GEO governs the wider picture, how a model describes what you do, which competitors it places you against, and whether it recommends you when a buyer asks for options.

At MO Agency, GEO is a measured programme, not a content exercise. We map how ChatGPT, Claude, Gemini, and Perplexity currently represent your brand, engineer your entity and content so models describe you accurately, and track representation and share of voice over time on Getmd.ai. GEO and AEO share the same infrastructure, structured data, llms.txt, AI-readable content, and citation building, but GEO measures the full narrative a model tells about you across every generative surface.

Get an AI Visibility Audit How we do GEO

OUR CLIENTS

Clients

At MO Agency, we've worked with Netstar, Dotsure, Wilderness, Entelect, Altron and many others to get cited in ChatGPT, Claude, Gemini, and Perplexity through Answer Engine Optimisation.

WHY MO FOR GEO

A measured approach to how AI represents your brand

Generative Engine Optimisation builds on foundations we have developed since 2011: structured data, authoritative content, technical SEO, and entity-based information architecture, now measured across generative AI engines.

Multi-model coverage

We measure and shape representation across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, not a single engine.

Data-driven methodology

We baseline how models represent your brand today and track share of voice with Getmd.ai and Ahrefs Brand Radar.

Entity architecture

GEO depends on a clearly defined brand entity. We structure your attributes, relationships, and authority so models describe you accurately.

Narrative and comparison control

We work on how models compare you to competitors and whether you appear when buyers ask for a recommendation.

GEO and AEO together

GEO sets the strategy for how AI represents your brand; AEO is the executional layer for citation inside answers. We run both on shared infrastructure.

Measurable outcomes

We report representation accuracy, mention frequency, citation position, and share of voice every month.

What Generative Engine Optimisation costs

MO Agency runs Generative Engine Optimisation programmes beginning at R22,500 per month, and scales with the number of topics, prompts, geographies, and engines tracked.

See full pricing at mo.agency/pricing.

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Programme	Starting price	What it includes
AEO & GEO Programme	From R22,500 per month	Baseline audit, entity and content engineering, llms.txt and AI-readable endpoints, and monthly representation and share-of-voice reporting on Getmd.ai across ChatGPT, Claude, Gemini, and Perplexity.

SEO, AEO and GEO: How they differ

Generative Engine Optimization (GEO), Answer Engine Optimisation (AEO), and Search Engine Optimization (SEO) overlap but optimise for different surfaces. Most South African agencies use the terms interchangeably; we treat GEO as the strategic frame and AEO as the executional layer.

For the answer-engine side of this work, see our Answer Engine Optimisation (AEO) agency page. For a fuller breakdown, read SEO, AEO and GEO explained.

See our GEO framework

Discipline	What it optimises for	Primary surface
GEO (Generative Engine Optimisation)	How the model represents, compares, and recommends your brand across every output	Answers, summaries, comparisons, and recommendations across generative engines
AEO (Answer Engine Optimisation)	Being cited inside a single AI answer, either as the answer or recommended as the answer.	Direct answers in ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews
SEO (Search Engine Optimisation)	Ranking higher on the search results page with high-value backlinks and tailored on-page content.	Google and Bing results pages

OUR FRAMEWORK

How we shape the way AI represents your brand

A measured methodology that moves from how models describe you today to sustained, accurate representation across generative engines.

GEO Baseline

We measure how ChatGPT, Claude, Gemini, and Perplexity currently represent your brand, including share of voice against named competitors, on Getmd.ai.

Entity and Gap Analysis

We map how models understand your brand today and where the representation is wrong, thin, or missing.

Representation Strategy

We define the narrative, attributes, and comparisons we want models to reproduce, and the content and data needed to support them.

Implementation

Structured data, entity and content engineering, llms.txt and AI-readable endpoints, and citation building across the sources models weight.

Measure and Optimise

Monthly tracking of representation accuracy, mention frequency, citation position, and share of voice, with iteration.

Structured Data & Entity Markup

Schema.org markup and a consistent brand entity so models can identify, describe, and relate your services accurately.

Authoritative Content

Expert content that gives models accurate, citable material to represent and recommend you.

Citation & Authority Building

Earning mentions and citations across the high-authority sources generative engines weight.

Representation Measurement

Tracking how models describe, compare, and recommend your brand across ChatGPT, Claude, Gemini, and Perplexity on Getmd.ai.

TESTIMONIALS

Client Testimonials

We were extremely pleased with our partnership with MO Agency. They addressed all our HubSpot needs and proactively suggested improvements. Highly organised and responsive.

MO Agency has been incredibly helpful with suggestions for optimising our email marketing funnel and improving our workflows.

Reviews from HubSpot Partner Directory and Google Reviews.

What is GEO (Generative Engine Optimization)?

Generative Engine Optimization (GEO) is the practice of influencing how generative AI systems represent your brand across all of their outputs, answers, summaries, comparisons, and recommendations. It is broader than Answer Engine Optimisation, which focuses on citation inside a single answer.

How is GEO different from AEO?

AEO optimises for being cited inside a specific AI answer. GEO governs the wider representation: how a model describes you, which competitors it compares you against, and whether it recommends you. At MO Agency, GEO is the strategic frame and AEO is the executional layer, run on the same infrastructure.

How is GEO different from SEO?

SEO optimises for ranking links on a search results page. GEO optimises for how generative AI represents and recommends your brand inside its outputs. SEO drives clicks from a results page; GEO shapes the answer a buyer reads before any click.

Which AI engines do you optimise for?

ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity, and Google AI Overviews, tracked on our Getmd.ai platform.

How do you measure GEO success?

We track representation accuracy, brand mention frequency, citation position, and share of voice against named competitors across the major engines, and report monthly on Getmd.ai.

How much does GEO cost in South Africa?

MO Agency runs AEO and GEO programmes from R22,500 per month. That covers a baseline audit, entity and content engineering, llms.txt and AI-readable endpoints, and monthly representation and share-of-voice reporting. We scope and quote in ZAR before any work begins.

Generative Engine Optimisation (GEO) Agency in South Africa

Shape how ChatGPT, Claude, Gemini, and Perplexity describe, compare, and recommend your brand.

The facts behind our Generative Engine Optimisation work

What is Generative Engine Optimisation (GEO)?

Clients

From Inbound to AI Search: Building Discoverable Content