Perplexity searches the web at the time of the question, composes its answer from relevant sources and lists numbered citations to them. To be able to appear as a source, your site must be technically accessible and your content must answer clearly, self-containedly and with up-to-date information. No action guarantees a citation.
Ask Perplexity "which accounting firm handles startups in Thessaloniki," and the answer appears with numbers next to the sentences: [1], [2], [3]. Each number matches a source you can open. That isn't just a detail in its design. It's the basic way Perplexity works.
For your business, what matters isn't how popular Perplexity is, but whether your site appears among the sources it uses when someone looks for products, services or information related to your field. That's the aim of AEO: helping a business be found and recommended inside the answers of AI engines.
Let's look at it in practice.
What makes Perplexity different from a search engine?
Compared with the traditional search experience, Perplexity doesn't stop at a list of links. It searches the web, synthesises an answer, and shows visible citations to the sources it used. Perplexity describes Search as drawing each search from its live web index.
Citations are a core part of the experience: the answer is linked back to sources so the user can inspect where the information came from.
Functionally, this resembles the general logic of retrieval-augmented generation (RAG): retrieving relevant information and synthesising an answer from external sources. This isn't meant as a description of Perplexity's full internal architecture, which isn't publicly disclosed.
The main difference from ChatGPT is mostly about the original design and positioning of the two products. Perplexity was built from the start as an AI-powered search engine, while ChatGPT began as a general AI assistant and added search features later.
Today, though, both products can search the web and show sources. So the difference isn't absolute; it lies more in how the search experience is organised and presented.
For a business, this changes what's at stake. If you want direct visibility for your own site as a source, an accessible page has to be available for Perplexity to use or link to. The business can still be mentioned through a third-party source without its own site being cited.
How does Perplexity pick its sources?
When you submit a question, Perplexity interprets its meaning, searches the web for relevant information, and composes an answer from the sources it judges most suitable for that specific query.
For Pro Search, Perplexity says the system conducts multiple web searches and synthesises information from more sources. For Deep Research, it says the system runs dozens of searches across hundreds of sources. It doesn't, however, disclose a complete source-selection formula or a fixed number of sources for every answer.
Studies have found substantial overlap between Perplexity's sources and Google's organic results, but the figure varies significantly depending on the time period, the type of queries and the methodology.
A BrightEdge analysis in 2024 found that 60% of Perplexity citations overlapped with pages in Google's top ten organic results. A later Ahrefs study in 2025 found substantially lower overlap: about 28.6% of Perplexity citations pointed to URLs ranking in Google's top 10 for the same query. The difference is exactly why no single percentage should be treated as a fixed characteristic of Perplexity.
Core SEO, then, remains important. But there's no fixed "60%," nor can the remaining share be attributed solely to a page's structure or evidence.
Two practical areas are worth paying attention to.
The first is how current the content is, when the topic changes over time. Because Perplexity searches the web at the time of the question, it can draw on more recent sources. It doesn't, however, publish a guaranteed time within which a new or updated page will be found and appear in an answer.
The second is clarity. A specific, self-contained answer is more useful to the reader and leaves less ambiguity when a system processes the page. Perplexity doesn't publish this particular format as a ranking factor.
What content is useful as a source?
A practical approach is to put the substantive answer early on the page, use a clear structure, support claims with evidence, and keep changing information meaningfully up to date. These are good practices for clear, useful content; Perplexity doesn't publish them as specific ranking factors.
The difference is clearest with an example. Here are two descriptions of the same service:
❌ "Our company offers comprehensive, high-quality solutions, tailored to each client's needs, with a passion for excellence."
✔ "We handle accounting support for startups in Thessaloniki. We complete month-end close within five working days and offer a fixed monthly fee from the first month, with no hidden charges."
The first text contains no specific information that can be used as a reference.
The second includes concrete details — location, timing and how you charge — which an AI engine can use as-is when someone asks a related question.
Structured data (schema) can be part of a page's technical organisation because it describes some elements of the content in a standardised format.
The Article and FAQPage types should be used only when they genuinely match the page's visible content. Perplexity doesn't publish schema as a direct or guaranteed factor in selecting citations, so it should be treated as a supporting technical element, not a mechanism for appearing.
Recency matters as well. On topics that change, a page with recent, meaningfully updated figures is more useful than one that has fallen behind. Changing the date without really refreshing the content isn't enough.
Does it matter that it's less popular than ChatGPT?
Perplexity has smaller overall reach than ChatGPT. Public estimates for its monthly users, traffic and share vary significantly depending on the source and methodology, so it isn't safe to use a specific figure without a clear and recent citation.
The number of users, though, doesn't capture the whole picture.
Perplexity is designed for searching, researching and comparing information. That can make it important for queries where the user is weighing options, without meaning that every user has commercial intent or is close to a purchase decision.
For a business, the value of a mention depends more on the type of query and the user's intent than on the platform's overall size alone.
Whether there is an opportunity today for a business in Greece has to be assessed in its specific field and against the specific queries that carry commercial value.
How do you optimise your business for Perplexity?
You publish content that is clear, specific and current where it needs to be, and make sure the site is technically accessible to Perplexity's systems.
Five practical actions are worth checking:
- Put the answer in the first sentences of each page. Give the clear answer to the customer's question first, then add the explanation.
- Give concrete details: price ranges, timelines, location and numbers. They make the information more specific and useful to the reader, without us knowing how much they affect citation selection in Perplexity.
- Use structured data only where it genuinely matches the page's content. It can organise some information in a standardised format, but Perplexity doesn't publish it as a factor that increases or guarantees source selection.
- Keep pages updated on topics that change, with a visible date and recent figures.
- Aim to have your business mentioned on trusted sources, so its name appears beyond its own site. This strengthens the business's overall public presence, but Perplexity doesn't publish third-party mentions as a specific ranking factor.
There's also a technical point that often gets overlooked. Perplexity reads your site in two different ways.
PerplexityBot is the crawler used so web pages can appear and be linked in Perplexity results. Its official documentation says it isn't used to collect content for training AI foundation models.
Perplexity-User supports user-initiated actions. When someone submits a question, it may visit a page to help compose the answer and add a link to it. It isn't an automatic crawler, and because the visit is triggered by the user, it generally doesn't follow robots.txt rules.
For your site to appear normally in results, Perplexity recommends allowing PerplexityBot in robots.txt and permitting requests from its published IP ranges. If you use a WAF, CDN or other security layer, also make sure it isn't blocking PerplexityBot or Perplexity-User. Perplexity says crawler-setting changes can take up to 24 hours to be reflected in its systems.
When is Perplexity not worth focusing on?
When the basic conditions aren't in place yet.
If your site doesn't read clearly, if basic SEO is missing and the content doesn't answer specific questions, Perplexity isn't the place you should start from.
You build the base first. Visibility on AI engines follows as a result of that work.
It's also not worth treating Perplexity as a separate project, cut off from the rest of your strategy.
Studies show overlap between Perplexity's sources and Google's organic results, but not at a fixed rate. A strong SEO base therefore remains useful, without meaning that good visibility on Google automatically carries over to Perplexity or ChatGPT.
Clear, well-evidenced content isn't a tactic for a single AI engine. It's the same work that can pay off across all of them.
What does this mean in practice for a business in Greece?
It means there may be an opening today, but it has to be assessed separately for each field and each set of questions.
There's no public data measuring, overall, how limited competition is in Greek-language Perplexity content. A business that answers its audience's real questions clearly and with evidence creates better conditions for being used as a source — without that meaning it automatically has "a good chance" of appearing.
In practice, you start from the questions your customers already ask you and write pages that give specific answers: what you do, where you offer your services, in how long and at what cost.
You don't need to write 'for Perplexity.' You write for the customer, with clear, well-supported information that a search system can also process.
None of these actions guarantees your business will appear in the answers. They do, however, improve the technical accessibility, clarity and usefulness of the content, without guaranteeing that a page will be selected as a source.
That's where Praion comes in: in the structure, the content and the technical organisation of information, so those pages are clear, accessible and useful as sources, as part of your overall content strategy.
Perplexity and the other answer engines change how they read and select sources often. What's described here reflects the 2026 picture.
AEO aims to improve a business's ability to be found, understood and potentially appear in relevant AI answers — it doesn't guarantee a citation, recommendation, ranking or result. Answer engines continuously change how they select sources.