What is LLMO prompt intelligence?
LLMO prompt intelligence is the systematic discovery and scoring of the questions people use to ask large language models about a category, a problem, or a set of competitors — then ranking those questions by how achievable a citation is for a specific brand. It is the research foundation of any LLMO programme. Without it, teams are making content decisions without knowing which prompts they are actually competing for, which LLMs are most active in their category, or where their competitors hold citation advantages.
How is this different from keyword research?
Keyword research maps the terms people type into search engines — typically short, fragmented phrases optimised for index matching. LLMO prompt intelligence maps the full, conversational questions people ask LLMs — longer, more specific, often phrased as requests for a recommendation, comparison, or explanation. The two sets of intelligence overlap but are not interchangeable. An LLM citation is earned through different signals than a search ranking, and the query patterns that trigger citations are structured differently from the keywords that drive organic traffic. You need both, but they are separate inputs.
What makes a prompt high-opportunity?
A prompt scores as high-opportunity when it meets several conditions simultaneously: the LLM consistently draws on external sources when answering it (rather than generating a closed, self-contained response), the existing set of cited sources is not completely dominated by sources your brand cannot realistically compete with at its current authority level, and there is a clear signal pattern among the cited sources that your brand can match through content or structural improvements. A prompt that generates citations but where all citations go to major international publications with decades of domain authority would score lower for a Nepal-based brand — not because the prompt is unimportant, but because the path to citation is longer.
How long does the engagement take?
The standard LLMO Prompt Intelligence engagement runs two to three weeks from briefing to delivery. Week one covers category prompt mining and categorisation. Weeks two and three cover citation opportunity scoring and competitor citation mapping across all 100+ prompts. If your category is large or highly competitive, or if you want the scope extended to include multiple geographic prompt variants, timeline and scope are discussed at briefing.
What does it cost?
Pricing for Nepal-based engagements starts at NPR 95,000 for a standard single-category prompt library covering 100+ prompts across five LLMs with full scoring and competitor mapping. Multi-category engagements and ongoing prompt monitoring programmes are scoped separately. Exact pricing is confirmed after a brief discovery call where we assess category complexity and competitive density.
How do I use the output?
The ranked prompt library is the operational starting point for your LLMO content programme. Your content team uses the high-opportunity prompt tier to plan the next round of content production — each prompt in that tier has an implementation brief attached that explains what to write and how to structure it. Your SEO and PR teams use the competitor citation map to identify signal gaps to close. Your broader marketing team uses the prompt categorisation to understand how AI is framing your category and where your brand currently sits in that framing. The library is a living document — we recommend revisiting it every quarter as LLM citation behaviour evolves.
