What it means
NLP (natural language processing) is the set of techniques that let machines parse, interpret, and generate human language. Search engines use it to understand what a query and a page mean; LLMs use it to read your content and produce answers. Generative AI is an application of NLP, which is why the same technology that writes fluent answers can also state them wrongly.
Why it matters
NLP is the technology that decides whether a machine understands what your page is about, and it can still get it wrong. When it works, your content gets matched to the right queries and summarized accurately. When it fails, you get hallucination: Kevin points out that LLMs can make things up in a very convincing way, with a Stanford study finding hallucination rates between 69% and 88% for legal queries. One NLP misread of your brand reaches users at scale.
Say a mid-market B2B SaaS company publishes a security page an LLM misinterprets, and the model tells buyers the product lacks SOC 2 compliance it actually holds. One NLP misread becomes a lost deal before a human ever checks the source.
How to use this knowledge
Write for machine parsing: Clear structure, plain claims, explicit entities, so NLP systems read your pages with less ambiguity. Do not trust LLM output blindly. Fact-check AI-generated content about your brand and category before it ships, and monitor how AI tools describe you. Feed models unambiguous facts (specs, compliance, pricing) in plain text near the top of the page so there is less room for an NLP system to guess.
Growth Memo guidance
LLMs can make things up in a very convincing way. — #6 - The state of generative AI for SEO (PT.2)
The key point is to not trust LLM output blindly, just like we shouldn't trust everything we read on the internet. — #6 - The state of generative AI for SEO (PT.2)
Large language models (LLMs) — NLP systems trained on huge text corpora that generate the answers users now read instead of clicking.
Hallucination — the failure mode where an NLP model produces confident, false output, including about your brand.
Entities — the people, products, and concepts NLP maps to understand meaning and judge relevance.
Generative AI — the application of NLP that writes summaries and answers, and the main adoption risk Kevin flags.