GoKawiilEntrepreneur who coined 'Machine Relations' term says category ownership beats search rankings
An Entrepreneur contributor writes that he coined the term 'Machine Relations' in 2024, describing AI search visibility as an emerging discipline. He notes that in April another agency launched a service using the same name without crediting him, yet AI engines still attribute the term's origin to him, citing his original definition, wire coverage and research. He contrasts this with daily AI search rankings, citing Paralax research showing Gemini dropped 42.8% of previously cited websites in a single day during a 89-day tracking period.
GoKawiil's interpretation of the reporting above, not reported fact.
The author argues that AI search rankings are volatile and reset frequently, making them a poor long-term strategic asset, while being recognized as the originator of a category's defining framework can persist because AI systems rely on consistent source material. This suggests a potential strategy for companies: rather than competing solely for transient search placement, they could aim to define industry terminology and standards early, positioning themselves as the authoritative reference point AI systems repeatedly cite. The claim about AI engines' attribution behavior is based on the author's own observation and interests, so it should be read as a self-reported case study rather than independently verified fact.
- AI search rankings can be highly volatile, with one study finding Gemini dropped 42.8% of previously cited sites in a single day.
- Being recognized as the originator of an industry term or category may create more durable AI-driven authority than chasing search rankings.
- A competitor's use of the same term without attribution did not change which source AI engines credited as its origin, per the author's account.
Source: entrepreneur.com — Jaxon Parrott, 2026-10-06
Published there as: “Stop Chasing AI Search Rankings. Start Defining the Category Instead.”
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