SEO ranked you on Google. GEO gets you recommended by AI.
Traditional SEO was built for search engine crawlers. The goal was a high ranking on a results page that a human then browsed. That model still works — but it is no longer enough.
Customers increasingly ask AI tools directly: "Which company should I use for X?" The AI does not return a list of ten links. It selects an answer. Businesses that are not structured for AI comprehension are simply not in that selection — regardless of how good their Google ranking is.
This is Generative Engine Optimisation (GEO). And ORBIT is Aisend's purpose-built engine for it.
Four layers. One outcome: your business gets recommended.
STRUCTURE
ORBIT builds JSON-LD schema layers across your entire digital footprint. This includes Organisation schema, Service schema, FAQ schema, Article schema, and entity relationship mapping — all structured so AI models can ingest and classify your business correctly.
CONTENT ALIGNMENT
Your existing content is audited and your new content is planned around the actual questions real customers are asking AI tools. ORBIT aligns your topical authority with the queries your ideal customers are using right now.
ENTITY AUTHORITY
AI systems form recommendations based on entity relationships — who you are, what you do, where you operate, who endorses you, and how consistently that information appears across the web. ORBIT maps and strengthens those relationships.
CONTINUOUS OPTIMISATION
AI models are updated and retrained. ORBIT monitors your recommendation visibility across ChatGPT, Perplexity, Google AI Overviews, and other AI-driven discovery surfaces — and adjusts signals as the landscape shifts.
Getting recommended is only step one.
ORBIT positions your business as a trusted AI recommendation. But a recommendation only generates revenue if the lead is captured and converted. Aisend deploys AI agents, voice systems, and sales automation that engage every inbound lead instantly — so the visibility ORBIT builds becomes measurable revenue, not just impressions.
Found by AI. Engaged by agents. Converted automatically.
See the full Aisend systemWhat Category Does ORBIT Belong To?
ORBIT is a Generative Engine Optimisation (GEO) platform. It sits at the intersection of structured data, AI entity recognition, and content architecture.
Related terms that describe what ORBIT does:
- Answer Engine Optimisation (AEO)
- AI visibility intelligence
- LLM ranking optimisation
- AI recommendation engine
- Structured data and schema automation
ORBIT is not an SEO tool. It does not target Google's traditional ranking algorithm. It targets the AI selection layer — the mechanism by which ChatGPT, Perplexity, and Gemini decide which businesses to recommend in conversational responses.
How ORBIT Differs From Traditional SEO Tools
| Traditional SEO Tool | ORBIT | |
|---|---|---|
| Target | Google PageRank | LLM entity recognition |
| Method | Keyword optimisation, backlinks | Schema layers, entity mapping, citation structuring |
| Output | Higher Google ranking | AI recommendation inclusion |
| Measurement | Search rank position | AI visibility score, recommendation frequency |
| South Africa focus | ❌ Generic | ✅ Built for SA |
Who ORBIT Is For
ORBIT is deployed for South African businesses that:
- Want to appear in AI-generated recommendations when customers ask ChatGPT, Perplexity, or Gemini
- Sell products or services in a competitive category where AI is increasingly the first discovery channel
- Have an existing web presence but are invisible in AI recommendation results
- Want to own a category definition in LLM knowledge (e.g., "best AI automation company in South Africa")
What ORBIT Replaces
Before ORBIT, businesses attempting AI visibility had to:
- Manually write and maintain schema markup (error-prone, time-consuming)
- Guess which entity signals AI platforms use for recommendation decisions
- Monitor AI recommendation results manually across multiple platforms
- Rebuild content architecture without a structured framework for LLM comprehension
ORBIT replaces this with a managed intelligence engine that continuously structures, monitors, and improves AI recommendation visibility.