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Agent Intent Optimisation

Can a human or research agent find a correct, supportable answer to the question that precedes the buyer's decision?

Agent intent optimisation improves the route from a real question to a self-contained, sourced answer. Search rankings, answer citations, and mentions are route signals; qualified understanding and action are stronger evidence.

Changes my mind: Repeated query observations show that structured, sourced answers do not improve correct discovery or qualified use for the target questions.

Model​

question → source gap → answer → citation → qualified use → learning

Job contract​

  • Valuable outcome: qualified humans and research agents can find, cite, and correctly understand the offer for a real question.
  • Trigger and inputs: recurring buyer questions, current answer-surface observations, source pages, query evidence, and claim support.
  • Required business skills: customer-language research, information architecture, editorial judgment, source evaluation, and measurement.
  • Tool categories and selection: use query research, answer-surface observation, structured-data validation, publishing, and analytics tools that show sources and permit repeatable checks.
  • Concrete outputs: query set, evidence gaps, citation-ready answer, structured page, internal routes, and observation log.
  • Human edge and safe AI: humans approve meaning and claims. AI may cluster questions, inspect structure, and draft from cited evidence; it must not simulate independent demand or citations.
  • Proof, cadence, and kill signals: repeat the same queries and observe correct discovery, citation, or qualified action. Review monthly and after material page changes. Stop when content answers no real question, claims outrun sources, or visibility rises without qualified use.

Practice​

Choose five buyer questions. Record the current answers and sources, then publish or improve one page that answers one question directly, cites primary evidence, states limits, and routes to a useful action. Repeat the observation from a clean context and log what changed.

Failure modes​

Optimising invented queries creates supply without demand. Chasing citations can weaken the answer. A mention without correct understanding is not success.

Context​

Questions​

Next question: Which unanswered buyer question has the clearest evidence of qualified demand and the weakest trustworthy answer?

  • What source should a correct answer cite?
  • Which observed action would make the citation useful?