Retrieval-augmented generation (RAG)
Also: RAG
A way for an AI assistant to look up current documents before writing an answer.
How this fits the service
People ask AI assistants to recommend businesses; yours may be missing, so Logres checks why competitors appear, helps fix the gaps the evidence supports, and asks again later.
What it means
In a retrieval-augmented system, the assistant searches for useful pages when a question is asked and uses parts of those pages to help write the answer.
That is one reason current website content can matter even when an AI model was trained earlier. The page still has to be available and easy to find.
Why it matters to your business
If an assistant looks up pages at question time, what your website says today may help shape the answer. Clear and accessible pages matter even though the assistant still controls what it uses.
What Logres can and cannot check
Logres cannot see the private workings inside an AI company. It can check the links an assistant shows and whether the business's own pages appear among them.