How to identify questions AI answers that your site doesn't cover

The most useful AI visibility report we make for a client is not a score. It is a list of questions that engines answer every day, with someone else's pages as sources, while the client's site is silent. Here is how we build that list, and why we use a platform for it rather than a spreadsheet.

Why this is a different job from tracking

Tracking starts from prompts you already know. Gap analysis starts from the opposite end: what are buyers asking that you have not thought to track? Three sources feed it.

Your own search data. Search Console queries show what people already use to find you. Many of these are questions you cover badly or not at all.

Question research. People Also Ask, forums and support tickets tell you how buyers phrase things. Sales calls are a better source than any tool. Ask the team which question they answer five times a week.

Fan-outs. When a user asks an engine something, it often runs several narrower searches behind the scenes. If your page answers a fan-out well, you can be cited for a question you never targeted. If nothing on your site answers it, you are invisible for that whole branch.

Our process

1. Build the base panel. Thirty to fifty prompts covering the client's categories, split by topic and intent.
2. Expand it. We use suggestions from Search Console, ranking keywords and People Also Ask, then add prompts from sales and support.
3. Look at fan-outs. For the prompts that matter commercially, we check which sub-queries each engine runs.
4. Score coverage. For each cluster, does the site have a page that answers it directly, and is that page ever cited?
5. Rank the gaps. Commercial value first, then competitor strength, then effort.
6. Write, then measure. One strong page per cluster, followed for weeks.

The platform we use

We run client programs on Promptwatch. Its Prompt Explorer suggests prompts from Search Console, ranking keywords, People Also Ask or any page you point it at, and Prompt Volumes shows search volumes, difficulty and citation rates across AI search, Google and Bing. Query fan-outs are shown per model, which saves a lot of guesswork. Content gap analysis gives coverage scores per topic, and Topic Insights shows pages that underperform for their topic.

The step many tools leave out is the next one. From the gap view you can go straight into Content Creation from a brief, or Content Refresh, which proposes diff-style updates to an existing page. On Business and Enterprise plans the Content Agent can plan and draft against visibility gaps on a schedule, with a review inbox, so a human approves before anything goes live. The Action Board turns the findings into a prioritized list, and a weekly Discovery agent suggests up to five evidence-backed actions per run.

A plan note: content gap analysis is on the Essential plan ($95 a month) and above. The automated Content Agent starts on Business ($579). Agency plans include content gap analysis but not the Content Agent, AEO articles or the knowledge base.

How we read a gap

Not every gap deserves a page. We ask:

• Is there a commercial reason? A question that never leads to a purchase is a low priority.
• Who is winning it? If a major publication or a government site owns the answer, we may not compete.
• What format wins? If every cited page is a comparison table, a how-to essay will not do.
• Can we add something real? A page with nothing new tends not to earn citations. Original data, specific product detail and clear structure help.

Pitfalls

Chasing volume. AI prompt volumes are an estimate. Use them to rank, not to promise.

Writing thin pages for every fan-out. Cluster related sub-questions into one page that answers them properly.

Forgetting crawl access. If bots cannot fetch the page, coverage will not matter. Crawler logs, from the Professional plan upward, show whether the right bots arrive and whether they hit errors.

Declaring victory too early. Content takes weeks to be crawled, cited and measured. Track citation rate per page over time.

What we tell clients honestly

A gap platform will tell you where the opportunity is. It cannot promise an engine will cite the new page. We report the work as a pipeline: gaps found, pages published, pages crawled, pages cited, visits received. Each stage is measurable, and each stage can fail for a different reason.

Where to begin

Pull your top fifty Search Console queries that are phrased as questions. Check whether your site answers each one in a single clear page. Then compare against what engines actually cite. If you find ten clusters with no good answer, you have a quarter of content planning already done.