ThatWare Says SEO Is Not Enough. Correct. It Never Was. Machines Must Understand You.
ThatWare is pitching what they call a connected search ecosystem spanning traditional SEO, GEO, LLM optimization, and AEO, which is Answer Engine Optimization. Their core argument is that a company can rank well organically in classic search results and still be poorly represented when an AI synthesizes an answer from multiple sources. They frame this as four disciplines working together rather than four isolated services.
This is the distinction between retrieval and representation. Classic SEO asks whether a crawler can find your page. LLM optimization asks whether a language model can understand what your business actually is. These are different problems. The mental model I want you to internalize is this. Ranking is a proxy for visibility. Understanding is a proxy for relevance. A machine can retrieve your content perfectly and still mischaracterize your expertise. ThatWare is correctly identifying that the gap between those two things is where modern search strategy lives.
ThatWare is an AI SEO company arguing that businesses need to invest in AEO, GEO, and LLM optimization as a connected system rather than separate services. They emphasize that organic ranking does not guarantee accurate representation in AI-generated answers.
- Go to Google and search for your company name. Note your position in the results. Expected outcome: you confirm whether your traditional SEO is working.
- Open ChatGPT and ask 'Tell me about [your company name] and what they do.' Expected outcome: you see how an LLM represents your business, which may differ significantly from your search ranking.
- Ask the AI to describe your competitors in the same category. Expected outcome: you compare how well the model understands your rivals versus you, revealing gaps in how your brand is represented in language model training data and retrieved sources.