Perplexity is the AI search engine growing fastest among the kind of customers who research before they buy. It gives a direct answer with citations, pulls from the live web, and is increasingly the first stop for product comparisons.
Unlike ChatGPT, which draws on training data that may be months old, Perplexity searches the web in real time when you ask it a question. That means what Perplexity says about your brand can change within days of changes you make to your web presence.
That also means the rules for appearing in Perplexity are different from the rules for appearing in ChatGPT. Here's how Perplexity actually works, and what it takes to get recommended.
How Perplexity works (the short version)
When someone asks Perplexity "best [product] for [use case]", it:
- Searches the web (its own index plus real-time crawling)
- Reads the top relevant pages
- Synthesises an answer from across those sources
- Cites the sources it used
The brands it names are the ones that appear in the sources it found and read. It's not recommending you based on your brand's reputation in its training data. It's recommending you based on what it can find right now, on the live web.
This is both the opportunity and the challenge: Perplexity can discover you faster than ChatGPT can, but only if what it finds when it looks is useful and trustworthy.
What Perplexity cites
Based on analysis of Perplexity responses across product categories, the sources it most commonly cites are:
Independent buying guides and review roundups. "Best [product] 2026" articles on specialist sites, mainstream publications (Wirecutter, Good Housekeeping, etc.), and niche category review blogs. These carry the most weight because they're curated, independent, and clearly written to answer the kind of question a shopper would ask.
Trustpilot. Perplexity explicitly cites Trustpilot for trust and legitimacy queries ("Is [brand] legit?", "Should I buy from [brand]?"). Having a Trustpilot profile with recent, positive reviews is a direct input to Perplexity's trust assessments.
Reddit. Perplexity uses Reddit heavily, more than you might expect. Community discussions in relevant subreddits surface in product queries, particularly for comparisons and "is this worth it" questions. If there's genuine organic discussion of your brand on Reddit, Perplexity finds it and incorporates it.
Your own website. Perplexity does crawl brand websites and cites them, particularly product pages with clear descriptions, comparison content, and FAQ content. Unlike AI Knowledge models, your own site does matter here. But it's cited alongside third-party sources, not instead of them.
Category-specific publications and forums. Depending on your category, there are usually two or three publications that Perplexity treats as authoritative: running magazines, beauty editorial sites, tech review sites, and so on. If your brand appears in them, Perplexity sees it.
What Perplexity doesn't care about
Domain authority as a direct input. Perplexity isn't running a PageRank-style algorithm, and you can't improve your Perplexity visibility by building links to your own domain. What matters is whether the sources Perplexity cites (buying guides, Trustpilot, Reddit) mention you positively. That said, higher-authority sources in your category are more likely to surface in Perplexity's index. Getting into a well-established buying guide beats getting a mention on a low-authority blog.
Your ad spend. You cannot pay to appear in Perplexity recommendations. There are no sponsored slots in Perplexity's organic answers. What it says about you is purely based on what it finds.
How long your site has existed. Newer brands can appear in Perplexity recommendations faster than they can build organic Google rankings, because Perplexity's ranking logic is content-quality and citation-based, not authority-accumulation-based.
The fastest path to Perplexity visibility
Because Perplexity updates in real time, improvements here can materialize in days or weeks, not the months it takes to shift AI Knowledge scores.
Get into one or two buying guides in your category. This is the single highest-leverage action. A placement in a "best [product]" roundup on a site Perplexity trusts means Perplexity can cite that placement directly. Identify the roundups that appear when you search your category, and pursue inclusion through outreach, samples, or PR.
Build a Trustpilot profile with recent reviews. If your brand has no Trustpilot presence, Perplexity can't cite a trust signal when someone asks about you. Getting to 20–30 recent, genuine reviews is enough to be citable.
Create useful comparison content on your domain. Perplexity reads your site. A page that directly compares your product to your main competitor (honestly, specifically, with clear value propositions) is something Perplexity can cite when someone asks for comparisons.
Optimize for the specific queries Perplexity gets. Perplexity users tend to ask longer, more specific questions than Google users: "best sustainable running shoes for wide feet under £100" rather than "running shoes". Content that directly answers these specific queries (in your FAQ, buying guide, or product descriptions) is more likely to be surfaced.
Perplexity vs ChatGPT: which matters more?
They influence different parts of the buying journey.
Perplexity users are typically in active research mode. They've already decided they want to buy something and are figuring out which brand. ChatGPT and other knowledge models are more often consulted earlier, for awareness and education.
Practically: Perplexity is where you can move fastest because of the live web index. Changes you make today can appear in Perplexity answers this week.
ChatGPT is where the larger audience is, with far more users but much slower to reflect changes you make to your web presence (months, not days).
A sensible strategy: fix Perplexity visibility first (faster, more directly actionable), while also making the longer-term investments in editorial coverage and reviews that shift your AI Knowledge scores over time.
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Written by Stu Miller, Founder of SeenByAI and CEO & Co-founder of Smart Insights. Stu has spent 16 years helping ecommerce businesses grow their digital marketing, and built SeenByAI after experiencing the AI visibility problem first-hand running his own Shopify store.
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