A brand gap analysis for AI search finds every question where an answer engine names a competitor and leaves you out. You run it in four steps: list the questions buyers actually ask, check who gets named and cited for each one, sort every gap into fix, build, or influence, then rank the work by leverage. The output is not a score. It is a concrete backlog you can start this week.
Step 1: List the real questions buyers ask
Start with the questions, not your keywords. An answer engine responds to how people phrase things, so your list should read like sentences, not search terms.
Cover the whole funnel. Early questions are broad and category level, such as how a type of product works or what to look for. Middle questions compare options, name categories, and ask for shortlists. Late questions are specific: a named competitor, a use case, a price range, a region.
Pull these from real sources. Use your sales and support logs, the objections your team hears, the phrases prospects type into your own site search, and the follow-up questions that come up on demo calls. Add the obvious head questions for your category so nothing common is missed.
Keep the list tight and honest. Twenty to forty questions that a buyer would truly ask beats hundreds of invented ones. Group them by funnel stage so you can later see whether your gaps cluster early, middle, or late.
Step 2: See who gets named and cited, across engines
For each question, ask the major engines and read the answer the way a buyer would. Note three things: which brands get named in the reply, which sources get cited underneath it, and whether you appear at all.
Do this across more than one engine. ChatGPT, Gemini, Claude, Perplexity, and Grok read different sources and phrase answers differently, so a brand can be present in one and absent in another. Google now shows AI answers too, which is a separate surface worth checking.
Record the state of each appearance, not just yes or no. You might be named and linked, mentioned without a link, described inaccurately, or missing while a competitor is named. Those are different problems with different fixes, so capture the distinction.
Also read the citations closely. The sources an engine leans on tell you where the answer is being formed: your own pages, a competitor blog, a listicle, a forum thread, a review site, or a reference page. That is the raw material for the next step.
Step 3: Sort every gap into fix, build, or influence
Now turn observations into work. Every gap falls into one of three buckets, and the bucket decides who owns it and how long it takes.
Fix covers your own pages that already exist but let you down. The page is thin, buried, outdated, contradicts itself, or is hard for an engine to read and quote. These are the fastest wins because you control the asset. Tighten the answer, state it plainly near the top, add structure, and make the key claim easy to lift into a reply.
Build covers owned content that does not exist yet. A buyer asks a question you have never answered on your site, so there is nothing for an engine to draw from. Write the missing comparison page, the direct answer to the question, the use-case explainer, or the glossary entry. Answer the question first, then support it.
Influence covers the places you do not own where competitors show up and you do not. Think third-party editorial, listicles and best-of roundups, community threads, review sites, video, and reference pages. You cannot edit these directly, so the work is outreach, contribution, corrections, and earning honest mentions. This bucket is slower, but it is often where the answer is really being decided.
Step 4: Prioritise by leverage and frequency
You will end up with more gaps than you can close at once, so rank them. Two signals do most of the work.
Leverage is how much a single change moves the outcome. A source cited across many answers is high leverage: fix or influence it once and several questions improve together. A page that sits one edit away from being quotable is high leverage too.
Frequency is how often the gap shows up. A missing answer that appears across many buyer questions, or across several engines, matters more than one that surfaces in a single niche query. Weight late-funnel questions where a buyer is close to deciding, since those answers are nearest to revenue.
Combine the two into a simple order. Do the high-frequency, high-leverage fixes first, since they are usually your own pages and move fast. Queue the builds next. Start the influence work in parallel because it takes longest to land, even when its payoff is large.
What you are left with
The output of a brand gap analysis is a backlog, not a report that sits in a drawer. Each line names the question, the engines where you are missing, the bucket, and the owner.
Fix items go to whoever owns your site pages. Build items go to content. Influence items go to whoever owns partnerships, PR, and community. Everyone can start on day one because the work is already sorted by type.
Rerun the check on a schedule. Answers shift as engines update and as your work lands, so a gap you closed can reopen and a new competitor can appear. Treating the analysis as a recurring loop, rather than a one-time audit, is what keeps you present in the answers buyers read.