How to appear in ChatGPT, Perplexity and Google AI recommendations
There is no single optimization. ChatGPT picks you on brand authority, Perplexity on fresh structured pages it cites in real time, and Google AI Overviews on the Merchant Center feed and product schema. Treat them the same and you lose two out of three.
To get recommended by ChatGPT, Perplexity and Google AI Overviews, there is no single optimisation that covers all three. ChatGPT picks you based on the data it learned and your brand authority, so the work is slow and reputation-driven. Perplexity searches the web in real time and rewards fresh, structured, easy-to-cite pages. Google AI Overviews leans on your Merchant Center feed, product schema and classic SEO signals. Treat AI as one channel and you lose two out of three.
This article breaks the three engines apart. You will see where each one sources its information, what it rewards, what you change on your side, how fast results come and how to verify whether you appear. At the end there is a three-column comparison table and a first step you can take this week.
Why one tactic does not cover all three engines
The question many store owners ask wrongly is "how do I appear in AI?". There is no "the AI" in the singular. There are three systems with different architectures, and the architectural difference dictates your strategy.
The work splits into two categories that do not replace each other. The first is earning training-data presence, slow, driven by authority, brand, reviews and mentions across the web. That is how you play ChatGPT. The second is being retrievable now, fast, driven by structure, schema and feed. That is how you play Perplexity and Google AI Overviews. Invest only in the first and you are invisible in the engines that search live. Invest only in the second and you never enter answers based on what the model already learned.
The size of the market confirms none can be ignored. Perplexity processed 780 million queries in a single month (May 2025, figures reported by Perplexity), and ChatGPT launched its shopping feature on 28 April 2025, with recommendations built from reviews gathered across the web. Three separate decision points, three sets of rules.
ChatGPT, you win through authority, not structure
ChatGPT answers, by default, from what it learned during training plus your brand reputation signals. When a user asks for product recommendations, the model relies on what it has read about you across the web, reviews, comparisons, articles, mentions on authority sites. The shopping feature builds recommendations from reviews aggregated across the web, not from a feed you submit.
What it rewards. Brand authority and consistency of mentions. If your name appears repeatedly, in positive context, on sources the model treats as trustworthy, you become a natural candidate for your category.
What you change. You build presence on third-party sources, reviews on recognised platforms, comparison articles, presence in "best X" lists, editorial mentions. It is not a technical setting, it is reputation work over months.
Watch the browsing mode. When ChatGPT browses live (browsing mode or search enabled), the equation changes, alongside training data, real-time retrieved pages come in, which moves the behaviour closer to Perplexity. At that point the structure of your page starts to matter here too.
Perplexity, you win through fresh, citable pages
Perplexity does not rely on what it memorised. It searches the web in real time, retrieves relevant pages and cites the sources directly in the answer. That makes it the fastest of the three to influence, a good page published today can be cited tomorrow.
What it rewards. Fresh, well-structured pages with clear sources and easy-to-extract information. A short, factual answer at the top of the page, descriptive headings, concrete data with a source. Perplexity looks for text it can cite with confidence.
What you change. You put at the top of your important pages an extractable 2-3 sentence answer to the question the buyer is asking. You structure content with clear headings, lists and tables. You add concrete data with a source, because Perplexity cites what it can verify. You keep pages updated, because freshness counts.
The golden rule, for ChatGPT you write to be reputed, for Perplexity you write to be cited, for Google you write to be structured.
Google AI Overviews, you win through feed and schema
Google AI Overviews is the AI carousel that appears above classic results for complex purchase questions. Unlike the other two, it leans on the commercial infrastructure Google already has, the Merchant Center feed, the product schema on your site, classic SEO signals and the Shopping Graph (the product graph Google builds from feeds and pages).
What it rewards. Complete and correct product data in Merchant Center, valid schema markup on pages (Product, Offer, AggregateRating, Brand), plus classic SEO signals (domain authority, page relevance, speed). In practice, what you already do well for Google Shopping and SEO partly transfers here.
What you change. You complete all relevant feed attributes (material, size, colour, GTIN, MPN, category). You implement correct product schema on every page. You keep basic SEO hygiene. The difference from classic Shopping, there is no auction to lift you here, visibility comes from data quality, not budget.
Comparison table across the three engines
| Criterion | ChatGPT | Perplexity | Google AI Overviews |
|---|---|---|---|
| How it sources data | Training data plus brand reputation. Browsing mode adds live pages. | Live web search, real-time retrieval, with source citation. | Merchant Center feed, product schema, Shopping Graph, SEO signals. |
| What it rewards | Brand authority, consistent reviews and mentions on trusted sources. | Fresh, structured, citable pages with clear sources. | Complete product data, valid schema, SEO relevance. |
| What you change | Build presence on third-party sources, reviews, comparison articles. | Add an extractable answer up top, clear structure, sourced data, update often. | Complete the feed, implement schema, keep SEO hygiene. |
| How fast results come | Months. Driven by accumulated authority. | Days to weeks. The fastest to influence. | Weeks. As long as feed reprocessing and indexing take. |
| How you verify | Ask the natural question in ChatGPT and see if you appear, with and without browsing. | Ask the same question in Perplexity and check if you are among cited sources. | Search the question on Google and see if you appear in the AI carousel up top. |
The costly mistake, treating AI as a single channel
"I added schema, so I appear everywhere." No. Schema helps with Google AI Overviews and, partly, with Perplexity when it retrieves your page. It does not solve ChatGPT, which by default does not read your site but relies on what it learned about you. Conversely, if you built brand authority but your pages have no structure, Perplexity has nothing to cite even if you are well known.
The loss appears in no report. The buyer who asks ChatGPT and does not see you never reaches Google, so they do not show up in Analytics or Search Console. You see sales stagnate with no explanation, because the rest of your channels seem to run the same.
Where you start this week
Run the test on all three. Ask the same natural buyer question ("what are the best products in my category for a typical customer") in ChatGPT, Perplexity and Google. Note where you appear and where you do not. Three tests, five minutes, and you have the exact map of where you are invisible.
If you are missing from one or more, the fix differs by engine, per the table above. On Perplexity start with page structure, because it gives the fastest results. On Google complete the feed and schema. On ChatGPT invest in authority, slow but durable. If you want the full map of your catalogue across all three engines, the AI-ready catalog audit walks it step by step. See also the guides on answer engine optimisation and generative engine optimisation.
Frequently asked questions
How do I appear in ChatGPT recommendations?
ChatGPT recommends you, by default, based on what it learned during training and your brand reputation across the web. Build presence on third-party sources, reviews on recognised platforms, comparison articles, best-of lists, editorial mentions. ChatGPT's shopping feature builds recommendations from reviews gathered across the web, not from a feed you submit. It is authority work over months, not a technical setting. When ChatGPT browses live, your page structure starts to matter too.
How does Perplexity cite me?
Perplexity searches the web in real time and cites sources directly in its answer, so it is the fastest of the three engines to influence. Put at the top of your important pages an extractable 2-3 sentence answer to the buyer's question. Structure content with clear headings, lists and tables, and add concrete sourced data, because Perplexity cites what it can verify. Keep pages updated, freshness counts. A good page published today can be cited within days.
What is Google AI Overviews?
Google AI Overviews is the AI carousel that appears above classic results when someone asks a complex purchase question. It leans on Google's commercial infrastructure, the Merchant Center feed, on-site product schema, the Shopping Graph and classic SEO signals. Unlike classic Google Shopping, there is no auction to lift you, visibility comes from data quality, not budget. What you already do well for Shopping and SEO partly transfers here.
Why can't I use the same optimisation for all three AI engines?
Because they have different architectures. ChatGPT relies by default on training data and reputation, so the work is slow and authority-driven. Perplexity searches live and rewards structure and freshness, so the work is fast and technical. Google AI Overviews relies on feed and schema. The work splits into earning training-data presence (slow, authority) and being retrievable now (fast, structure). One does not replace the other, you need both if you want to appear in all three.
How long until I appear in an AI engine after optimising?
It depends on the engine. Perplexity is fastest, days to weeks, because it retrieves pages live. Google AI Overviews takes weeks, as long as feed reprocessing and indexing take. ChatGPT is slowest, months, because it depends on accumulated authority and mentions on third-party sources. If you need fast results, start with page structure for Perplexity. If you play long-term, invest in brand authority for ChatGPT.
How do I check if I appear in ChatGPT, Perplexity and Google AI?
Run the same test in all three. Ask a natural buyer question, such as what are the best products in my category for a typical customer, in ChatGPT, Perplexity and Google. In ChatGPT check both with and without browsing mode. In Perplexity see if you are among the cited sources. On Google check if you appear in the AI carousel up top. Three tests, five minutes, and you have the exact map of where you are invisible.
Appearing in one AI engine but missing from the other two?
The three engines pick you by different rules, and a quick test rarely shows the full picture. The AI-ready catalog audit tests your presence across ChatGPT, Perplexity and Google AI Overviews and tells you exactly what to fix on each engine and in what order.
Adela Mincea
Performance Marketer · Fondatoare DAFE Digital · Formator ANC
Adela is a Performance Marketer with 10+ years of paid media across Europe, the US and Asia. She founded DAFE Digital in 2023 after agency roles in London and Hong Kong, in-house work inside client organisations, and independent consulting across 27+ industries.
