H P L A Y B O O K How I get brands cited in AI search A repeatable 5-step process for showing up inside ChatGPT, Gemini, Perplexity & Google AI Mode answers. Ridho Search Agency Swipe
a customer types, to a content plan that wins the citation. 1 Find the prompt Pin down the real question your buyer asks an LLM. 2 Check if you're cited See whether your brand already shows up, and where. 3 Read the native answer Study how the LLM frames and positions the brand. 4 Mine the gaps Run Content Gap, LLM Visibility & Query Fan-Out. 5 Build the plan Turn every gap into content that strengthens AI presence.
keywords. In AI search the unit is the natural-language question a real buyer asks. I start from one specific, intent-rich prompt: long, messy, exactly how people talk to an LLM. T H E T A R G E T P R O M P T “How to find quiet accommodations with healthy dining options or kitchen facilities for meal prep in Singapore?” Buyer intent Local + specific Conversational T A K E A W A Y Nail one real question first. Everything downstream is built to win that single answer.
across the LLMs that matter and log where the brand surfaces. Here it lands in 3 of 5 platforms, mentioned in ChatGPT, with a citation. Track mention vs. citation per platform Note the rank / position when shown Spot the platforms where you're invisible T A K E A W A Y You can't improve what you don't measure. Baseline first.
itself and read the full response. This is how you learn the framing: which brands lead, what criteria the model rewards, where you sit. See who the LLM names first and why Decode the criteria it optimises for Find the angle that earns the top slot T A K E A W A Y The native answer is your brief. It tells you exactly what to prove.
the whole picture. I run three tools to surface every adjacent opportunity the answer engines reward. 01 Content Gap Analyzer Topics your persona cares about that nobody is covering well. 02 LLM Brand Visibility Where AI assistants mention and recommend you, and where they don't. 03 Query Fan-Out How AI breaks your query into sub-queries you can each capture.
maps the themes already covered, then flags the untapped angles your persona actually cares about. Surfaces high-priority content gaps Ties each gap to a persona pain point Hands you a ready-to-write angle T A K E A W A Y Gaps are where you out-publish everyone the model currently cites.
Gemini, Perplexity and Google AI Mode mention and recommend you, with concrete content recommendations. Mentioned vs. URL-cited, per assistant Coverage gaps by query category Prioritised briefs to close them T A K E A W A Y Treat each 'not mentioned' as a target, not a verdict.
many sub- queries. This shows every branch, and which you already cover vs. which are open. Maps the full sub-query tree Tags intent + coverage on each Generates a brief per opportunity T A K E A W A Y Win the branches, not just the trunk. That's how you own the answer.
mentions, gaps and sub-queries roll up into one prioritised roadmap: the content that strengthens the brand inside AI search, week after week. 1 Capture Write to the open sub-queries and gaps first. 2 Reinforce Deepen the topics where you're already cited. 3 Position Match the criteria the LLM rewards in its answer. 4 Re-measure Re-run visibility to prove the lift, then repeat.
read the answer, mine the gaps, build the plan. Then run it again. If your brand isn't showing up in AI answers yet, this is where I'd start. Ridho · Search Agency Found this useful? Repost and follow for more on AI search.