Human-in-the-Loop
Keeping a person in the decision, either approving what the AI produced or handling the cases it flags. The usual sensible middle ground between doing everything by hand and trusting a machine completely.
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Keeping a person in the decision, either approving what the AI produced or handling the cases it flags. The usual sensible middle ground between doing everything by hand and trusting a machine completely.
What somebody actually wants when they type a query: to learn, to compare, to buy, or to find a specific site. Matching it matters more than matching the words.
A plain-text way of writing formatted documents using symbols like # for a heading. AI systems read it easily because the structure is unambiguous, which is why some sites now offer it alongside HTML.
How often, and how accurately, AI assistants mention your business when someone asks about what you do. Unlike search rankings there is no official scoreboard, so it is measured by asking the assistants and by watching which crawlers visit.
A plain text file at the root of a site listing which bots may read what. It is a request rather than a lock — well-behaved crawlers obey it, and all the major AI crawlers do.
Checking that your markup is valid and says what you meant. Worth doing after every template change, because broken structured data usually fails silently rather than visibly.
A longer, more specific search — “boutique hotel Siem Reap near Pub Street with a pool” rather than “hotel”. Individually rare, collectively most of all searches, and far easier to answer well.