What Content Builds Topical Authority for “Best [Category]” AI Discovery Prompts?

What do "best [category]" answers draw on?

• Editorial roundups and comparison articles, which list several products with short verdicts.
• Review platforms, especially for software and local services.
• Community discussions where users compare options.
• Brand pages, mainly for facts: prices, features, integrations.

The mix varies by engine and query. SE Ranking's January 2026 study found review platforms in 49% of Google's AI Overviews for explicit review searches, but in only 17.1% for "best" or "top" searches. Those lean more on editorial lists and other sources. Goodie's analysis of B2B software citations found brands' own sites absent from the ten most cited domains across the major assistants. As it noted, a company featured in a review site's listicle can be mentioned even when its own website is not referenced.

So your own content has two jobs. It must establish you as a credible voice on the category, and it must give roundup writers, reviewers and assistants accurate facts to use when they include you.

Why start with category and problem queries to build brand authority in AI search?

Because that is where buyers start, and where your content can be cited before anyone knows your name. Brand questions such as "is [product] good?" reach only people who have already heard of you. Category and problem questions reach everyone. Examples are "how do I choose a rota system for a restaurant?" and "why do shift swaps cause payroll errors?".

Starting there does three things:

• It earns citations early in the journey. Answers to problem and "how to choose" questions cite explanatory pages, and yours can be one of them.
• It ties your name to the category. Each time an answer cites your guide on the category, the association between your brand and that category is repeated.
• It gives the roundup writers material. Journalists and reviewers researching "best [category]" read the best explanations of the category, and they often include the companies behind them.

Brand pages still matter, but they come second. They answer the questions people ask once your name is already on their list.

What content builds topical authority?

Build them as a connected set: the buying guide links to the problem, segment and comparison pages, and each links back. Use the same category terms throughout, including the words buyers use, not only your own branding. Google has described a "topic authority" system for news that looks at signals of a publication's expertise in specific areas. There is no equivalent published for AI answers. But depth and consistency on a subject are exactly what make a site a natural source.

How to aim content at "best X for Y" questions specifically is covered in how to target "best X for Y" queries in AI search.

What order should you build it in?

1. The category buying guide first, since every other page links to it and it answers the broadest early question.
2. Problem pages next, starting with the three to five problems your sales team hears most.
3. Segment pages for the customer types you win most often, with proof from those customers.
4. Comparison pages for the competitors you meet in most deals.
5. Original research once you have the foundation, so coverage of it has somewhere useful to send readers.

Review each page every quarter. Category guides go stale quickly as products, prices and buyer expectations change.

What about the off-site half?

Topical authority for recommendation prompts is largely earned elsewhere:

• Get into the roundups your category's answers cite. Give their writers accurate facts, access and a clear statement of who you suit. How to approach this is covered in how to get your brand added to third-party listicles and comparison articles that AI cites.
• Build reviews on the platforms cited for your category: ask every customer for an honest review in their own words, offer nothing in return, and do not ask for reviews on Yelp, which does not allow requests.
• Contribute expertise to publications, podcasts and communities your buyers follow, under named experts.
• Share original data with journalists, so your research is cited in their coverage.

How do you measure progress?

Use a fixed set of category and problem prompts that do not name your brand. Track, monthly and across several assistants:

• Whether you are mentioned in "best [category]" and "best [category] for [segment]" answers.
• Whether your pages are cited in problem and "how to choose" answers.
• Which sources are cited for the category, and whether you appear in them.
• How you are described when you are mentioned.

If citations come, problem-page citations usually show up before mentions in "best" answers, but there is no set timeline. Mentions in "best" answers follow more slowly, as coverage and reviews build. How to choose the prompts to track is covered in how to choose the right prompts to track for AI visibility.

What might an illustrative case look like?

Consider an illustrative maker of inventory software for small breweries that never appeared in answers to "best brewery inventory software". Its site had a product tour and a pricing page, and nothing else. The team published a buying guide on choosing brewery inventory systems, five problem pages such as tracking excise duty and managing keg returns, and a comparison with two larger competitors. It also ran a survey of 120 small breweries on stock losses. Within two months, assistants cited its excise duty and keg return pages. The survey was picked up by two trade publications, one of which added the company to its annual software roundup. Four months in, the company appeared in about a third of "best brewery inventory software" answers.

What do people ask about topical authority and AI?

How many pages does it take?

Fewer than you might think, if they are good. A buying guide, five to ten problem pages, a few segment and comparison pages, and one piece of original research is a solid start.

Should the buying guide mention competitors?

Yes, where it helps the reader choose. Self-ranked "best" lists do get cited: Ahrefs' study of 26,283 ChatGPT source URLs found "best X" lists were the most common source type, including lists where the publisher ranked itself first. But some sites with self-ranked lists reported Google visibility drops in early 2026, and a guide that ignores alternatives gives roundup writers nothing to quote. Name the main options and say where each fits.

Can we rank ourselves first in our own buying guide?

You can recommend yourself for the situations you suit, clearly as the publisher. Presenting it as a neutral ranking is misleading.

Does topical authority transfer to new categories?

Partly. It helps if the new category is closely related, but each category needs its own depth and coverage.