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The shift is already under way. Buyers in the UK are asking ChatGPT, Perplexity, and Google Gemini which software to buy, which accountancy firm to appoint, which manufacturer to trust. The brands that appear in those answers are not there by accident — they earned those citations by targeting the right prompts. Ignited Nepal's LLMO Prompt Intelligence service mines more than 100 category queries that large language models draw on when forming recommendations in your market, tests each one across five major LLMs, and delivers a ranked prompt library that tells you exactly where to concentrate your content effort to win AI citations at scale.
The established B2B software or SaaS brand that ranks well in Google but has begun to notice that AI-generated summaries in search are directing trial sign-ups toward competitors the brand has never regarded as a serious threat.
The professional services firm — accountancy, law, management consulting, financial planning — whose partners know that reputation drives mandates, and who are now realising that AI systems form reputational impressions from signals the firm has never deliberately shaped.
The mid-market retailer or e-commerce operator whose category pages perform adequately in traditional search but whose products are invisible in the conversational AI responses that younger buyers are now using as their primary discovery channel.
The in-house marketing or growth team that has been asked by the board to produce an AI visibility strategy and needs a rigorous, data-driven starting point rather than a collection of guesses dressed up as a plan.
Most UK brands have no inventory of the questions that AI systems use to form recommendations in their market. They know roughly which keywords their SEO strategy targets. They have no equivalent picture for the prompt layer. This means that content and PR investments are being made without any reliable signal about whether those investments will produce AI citations or simply add more pages to an already-crowded web that LLMs largely ignore.
Keyword volume metrics tell you how many people searched a phrase in a browser. They tell you nothing about whether an LLM cites your brand when that phrase is posed as a conversational question. A term can have substantial search volume and yet produce zero citations for your brand across every major AI platform. Brands that assume their SEO strength translates automatically into AI visibility are discovering — slowly and expensively — that it does not.
When a buyer asks an AI system to recommend a supplier in your category, and your competitor is cited and you are not, you will almost certainly never know it happened. There is no notification, no analytics event, no missed-call report. The competitor earns the consideration and potentially the contract. You remain unaware until you notice the pipeline has quietly thinned.
Even organisations that have started thinking seriously about LLMO face the same paralysis: there are potentially hundreds of relevant prompts in any given market. Without a scoring framework that distinguishes high-opportunity prompts from low-yield ones, teams spread their effort thinly and produce no meaningful movement in citations for any prompt.
A structured inventory of 100 or more prompts that real users pose to AI systems when researching your market category, drawn from seed term expansion, direct LLM probing, and systematic category analysis. Every prompt is documented with its phrasing variations and the intent class it represents.
Each prompt in the library is classified by intent stage — awareness, comparison, buying-intent, or brand-specific — so that your content and PR teams can match existing assets to the right prompt types and identify the gaps where no asset currently exists.
Every prompt is tested across five major LLMs (ChatGPT, Perplexity, Google Gemini, Claude, and Bing Copilot). The results are documented in a standardised report that records which brands are cited for each prompt, how consistently they are cited, and which LLMs produce the most commercially significant responses for your category.
A numerical score assigned to each prompt, calculated from citation frequency across LLMs, current citation achievability based on competitor strength in that prompt, and commercial value of the buying intent the prompt represents.
For the top-tier prompts — those with the highest opportunity scores — a structured analysis of which competitors are being cited, the likely content or authority signals that explain those citations, and the gap your brand needs to close to earn comparable placement.
The complete library of 100+ prompts, sorted by citation opportunity score, with a tier classification (Priority Tier 1, Tier 2, Tier 3) and a per-tier implementation brief that tells your content team what type of content, what format, and what authority signals are needed to compete for citations in each tier.
LLMO Prompt Intelligence is a structured research process that identifies and ranks the specific questions — prompts — that large language models draw on when forming recommendations in your market category. It is distinct from a general AI visibility audit in that it focuses specifically on the prompt layer: not just whether your brand appears in AI responses, but which questions trigger those responses, how your competitors are performing across the full landscape of relevant prompts, and which specific prompts offer the most achievable path to citation.
Keyword research identifies the terms and phrases that users type into traditional search engines and measures their monthly search volume. LLMO Prompt Intelligence maps the conversational questions that users pose to AI systems — questions that are structurally longer, more context-dependent, and often entirely absent from keyword tools because they are not searched on Google in sufficient volume to register. A prompt such as "which accounting software do most UK mid-market CFOs prefer and why" has near-zero Google search volume but may be posed to ChatGPT or Perplexity dozens of times per day by buyers in exactly the commercial stage your business needs to reach. Keyword tools cannot see this prompt; LLMO Prompt Intelligence is specifically designed to surface it.
A prompt scores high on the Citation Opportunity Index when three conditions are met simultaneously: LLMs already engage with the topic and produce named recommendations (indicating the prompt type is citation-active), the brands currently being cited are not so dominant that displacement is unrealistic within a six to twelve month horizon, and the commercial intent represented by the prompt is high enough to make a citation genuinely valuable. Prompts that score well on only one or two of these dimensions are placed in lower tiers. The three-factor model is what distinguishes a genuine priority from a nominally interesting topic that would absorb effort without producing commercial movement.
The standard LLMO Prompt Intelligence engagement runs over three to four weeks from project kickoff. The first week is dedicated to Category Prompt Mining and initial Prompt Categorisation. The second and third weeks cover Citation Opportunity Scoring and Competitor Citation Mapping, which involve the most intensive testing and analysis work. The fourth week is used for Ranked Prompt Library assembly, implementation brief writing, and the delivery session. For organisations that need an accelerated timeline, a focused version covering the top fifty prompts in a single category can be completed in ten to twelve working days.
LLMO Prompt Intelligence for the UK market is priced from £3,800 for a single-category engagement covering 100+ prompts and the full five-step process. Multi-category engagements and ongoing prompt monitoring programmes are scoped separately based on the number of categories and the depth of competitor mapping required. All pricing is confirmed in writing before work begins, with no variable or consumption-based charges added after delivery.
The Ranked Prompt Library and implementation brief are designed to be handed directly to content teams, digital PR teams, and SEO practitioners without requiring translation or interpretation. Tier 1 prompts become the immediate content commissioning brief: the implementation notes specify what to write, in what format, targeting which signals, for which LLMs. Tier 2 prompts feed into a three to six month content and authority-building plan. The Competitor Citation Mapping feeds into PR briefings and outreach targeting. Many clients also use the library as the backbone of their AI visibility reporting framework, tracking citation movement for each Tier 1 prompt on a monthly basis to demonstrate progress to internal stakeholders.
Not a black box. Real specialists you can call, with their names on the work.
The prompt landscape in your market is being shaped right now, and the organisations that map it first gain a structural advantage that compounds over time. Ignited Nepal's LLMO Prompt Intelligence service gives you the evidence base to act — a ranked, scored, implementation-ready library of the exact prompts that matter in your category.
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