Perplexity cites its sources. Make sure your brand is one of them.

This is a tricky question because this is all so new. The traditional AI tools you’re used to may not work for tracking Perplexity citations directly. But that doesn’t mean you are flying blind.

Manual prompt checks in Perplexity work for a handful of questions, then fall apart. AirOps handles the tracking side by monitoring which URLs answer engines pull from for the topics you care about, so you can see whether your pages are being cited, which competitors are surfacing instead, and where the gaps sit.

That visibility data sits next to the production work in AirOps, so a gap surfaced in Insights can move into an Action workflow that updates the page or adds the FAQ block the engine is looking for. You end up with a feedback loop instead of a spot check, and a clearer read on whether your AEO work is landing.

First, keep a close eye on your website’s referral traffic. Check your analytics to see if you are getting users visiting from Perplexity.ai. An increase in this number is a strong sign your Perplexity SEO efforts are working.

Second, you’ll have to do some manual work. Go to Perplexity and ask the same questions your customers do. See what answers pop up and which sources are cited. This is a great way to check on your progress, identify new questions Perplexity is surfacing, and see what your competitors are doing.

Finally, monitor your key business metrics. If traffic from Perplexity is leading to more sign-ups or sales, you know it’s not just a vanity metric. A rising conversion rate from this traffic source indicates you’re reaching a highly motivated audience.

It’s helpful to understand the core differences between an AI search experience like Perplexity and a traditional search engine like Google. While there is overlap, such as with Google Perplexity in the form of AI Overviews, their approaches differ. Acknowledging this helps refine your SEO services and overall approach.

Perplexity’s responses are designed to be a final answer, synthesized from multiple sources with clear citations. Perplexity doesn’t have the same ad-based model, meaning the answers are not influenced by advertisers. This can make its citations feel more organic and trustworthy to a user.

Traditional search engines, on the other hand, prioritize a ranked list of links and are now incorporating AI overviews at the top. While these AI summaries also cite sources, the user experience is still geared towards clicking through to websites. Effective SEO focuses on both getting cited in the overview and ranking high in the traditional links below it.

So how do you actually adapt? You don’t need to throw out everything you know about traditional SEO. But you do need to add some new tactics to your playbook. Here are some practical things you can do to get your content ready for Perplexity.

Write for Answers, Not Just Keywords. Start thinking about the actual questions your customers ask. What are their biggest problems and what information are they looking for? Your content should be built around these natural language queries.

Use headings that are framed as questions, like “How Do You Fix a Leaky Faucet?” Then, put the answer right below that heading. Give the solution immediately in a clear and short paragraph, as this helps both users and AI tools find the content answer quickly. Anticipate the follow-up questions a user might have — answering a series of related questions in one place makes your content more likely to be used as a comprehensive source.

Structure Your Content for Clarity. Your page layout matters more than ever. Use bullet points and numbered lists to break down information; these formats are incredibly easy for AI tools like Perplexity to read and quote from. Long, dense blocks of text are a problem for both humans and AI, so keep your paragraphs to two or three sentences each.

Boost Your Credibility Signals. Trust is everything for this new form of search. Always show who wrote an article and when it was last updated. Linking out to other trusted sources shows you have done your research. For local SEO, a complete Google Business Profile with positive reviews is a strong signal, and a strong off-page foundation of mentions from reputable sites helps too.

Use Schema Markup Wisely. Schema markup is a bit of code that doesn’t change how your site looks but gives search engines, including Perplexity, very specific details about your content. Adding FAQ schema helps AI recognize the question-and-answer format; HowTo schema suits tutorials and Article schema suits blog posts. This small technical step is a big part of effective SEO for answer engines.

Perplexity has a specific way of picking its sources. It isn’t random. It looks for clear signals of quality and trustworthiness on your website, and understanding these signals is the first step in getting cited.

First, it looks for clarity. The AI needs to easily find and understand the answer on your page. Content that is direct and to the point performs much better than vague or confusing language.

Second, it judges your site’s authority. Perplexity checks for things like content freshness, clear authorship, and professional web design. A strong domain authority helps, as the machine learning models want to pull information from experts.

Finally, it rewards structure. As an AI-powered search tool, Perplexity needs information to be organized. Well-formatted content with headings, bullet points, and tables is much easier for it to read, letting your key points stand out.