The Simple 3 Part Secret for Answer Engine Optimization (ChatGPT, Perplexity, Google Gemini and Google Learn About)
All Answer Engines / AI Assistants are built using just three technologies
- LLM chatbot
- Search Engine
- Knowledge Graph
All three technologies use the same data source: the web.
Kalicube’s Simple (not so) Secret Sauce
If you can take full control of your digital footprint for your company (or a person), you win the game.
The Kalicube Process gives you control of your digital footprint and amplifies all the signals. Exactly what works for Answer Engines.
Some Examples of How Answer Engines / AI use LLM, Search Results and Knowledge Graphs
The “mix” of the three technologies is the key differentiator. Each engine uses different doses of LLM, Search Results and Knowledge Graphs.
You’ll quickly realise that control of your web-wide digital footprint is the key, whatever flavour of AI / Assistive / Answer Engine you are optimizing for (Google Learn About, ChatGPT, Perplexity, Bing… and even Google Search).
Some examples – percentages are not to be taken too literally, they are to provide a comparison
Google Search
Majoritarily search, with Knowledge Graph (the Knowledge Panel, Entity Boxes etc), and a optional LLM (AI Overviews is search summarized by an LLM (Gemini) + some fact checking using the Knowledge Graph.
- Search results – 60%
- LLM – 20%
- Knowledge Graph – 20%
Bing Search
Search, optional Generative Search (based on their LLM) integrated into the results plus their knowledge graph (the Knowledge Panel).
- Search results – 60%
- LLM – 30%
- Knowledge Graph – 10%
ChatGPT
Majoritarily LLM ,with some search (a lot of search with WebPilot), and little (or no) knowledge graph fact checking.
- Search results – 30%
- LLM – 70%
- Knowledge Graph – 0%
Perplexity
Search results summarized by an LLM. And with Deep Search it adds a reasoning LLM and some knowledge fact checking.
- Search results – 50%
- LLM – 50%
- Knowledge Graph – 0%
Google Learn About
Search results summarized by an LLM with some fact checking and additional information provided by the Knowledge Graph. Importantly, on the left they offer additional context and research opportunities using filter pills (similar to those we have seen in Knowledge Panels for years) provided by a mix of LLM and the Knowledge Graph.
- Search results – 40%
- LLM – 40%
- Knowledge Graph – 20%
The Kalicube Process for Answer Engine Optimization
The Kalicube Process is a Universal Strategy for Answer Engine Optimization because it amplifies the effect of your entire web presence and optimizses for all three technologies all Answer Engines use: search results, LLM chatbots, knowledge graphs.
You can DIY The Kalicube Process >>
The Kalicube Process Implemented with You by our Digital Brand Engineers
We implement The Kalicube Process with surgical precision using our proprietary technology, Kalicube Pro, backed by 3 Billion data points. Our tech organises the digital footprint, and then holds all the pieces together in an incredibly tight ball in a format that all three (search, knowledge graphs and LLM chatbots) can easily digest.
