Find Buyer Questions Your Competitors Answer

Buyers in your market type questions into search engines and AI assistants every day. Something like "what should I ask before hiring a [your service] company" or "how much does [your service] cost in [your city]."

You know the answer. You've answered it a hundred times on sales calls.

The question worth asking is whether your website answers it too, and whether your competitors' sites do.

Start with what is published

A content gap is a buyer question your site does not answer clearly. You find it by listing the questions buyers ask before they get in touch — pricing questions, comparison questions, "what should I watch out for" questions — and checking your pages against each one. An AI Search Visibility Audit can help structure that check.

Then compare competitors. Some will have service pages, guides or FAQs that address those questions. Directories and publishers may cover them too. That tells you where your published coverage is thin. It does not, on its own, tell you who an AI engine will cite.

The number of gaps varies widely by business and category, so there is no typical figure to aim for. Count your own.

Why content coverage is not the same as citations

It helps to keep three observations separate. First, content coverage: does a site publish an answer? Second, observed appearance: did a brand or page appear in a captured AI response for a tested question? Third, outcomes: visits, leads and calls, which only your own analytics can show.

A competitor having a page does not prove an engine cites it. A competitor appearing in one captured answer does not explain why the engine chose it, and it does not prove that buyers went to them. Positions are not fixed; results change and can be checked again.

What AI search actually does with that information

For Google, the answer is documented: its AI features in Search use the same core ranking systems as Search, and crawlable, indexable, helpful content still matters (Google's guide to AI features; Google's helpful-content guidance). Rankings, links and technical SEO remain part of the picture.

ChatGPT, Perplexity and others document less about how they select sources, and their answers vary by engine, query, location, settings and time. Our guide to what AI search engines look for covers what is known.

What helps across all of them is a clear, specific, accurate page that answers the buyer's question. It gives search systems something relevant to find, without guaranteeing that any one engine will cite it.

What the audit data shows

An AI Search Visibility Audit tests a set of buyer questions, checks whether your site answers each one, and records which sources appeared in captured engine responses at the time of the scan, with the URLs that were cited.

That gives you evidence to work from: which questions your site covers, which it does not, and which sources appeared when those questions were tested. Our scoring methodology explains how the observations are counted. It is a snapshot, not a forecast.

Why one-off content projects stall

Most businesses that spot gaps try one of two things: they hire a freelancer to write some posts, or they assign it to someone who already has a full plate.

Both can work for a while. Coverage usually holds up better when it is treated as ongoing work: choosing questions with real search demand, drafting useful answers, and having a person review each piece before it is published.

NarraLoom prepares publish-ready drafts for your team to check in Review & Publish, so nothing goes out without human approval. No publishing rhythm or volume guarantees rankings or citations; the aim is steady, useful coverage of the questions that matter to your buyers.

Why first impressions matter

When a buyer searches "how much does [your service] cost in [your city]" and finds a competitor's clear pricing guide, that guide may shape how the buyer frames the decision before they ever reach your site.

That is a good reason to answer high-intent questions well. Whether a given gap affects your leads is something to measure in your own data, not something a content gap or a single AI answer can prove.

Find out where you actually stand

The agency audit is an evidence-led snapshot of buyer questions in your category, who was shown for them at the time of the scan, and where your brand was missing. Email verification may be required.

For a full breakdown, read our guide to improving brand visibility in AI search.