How to show up in ChatGPT, Claude, Gemini and Perplexity

Try the same software question in ChatGPT, Claude, Gemini and Perplexity, and save the answers with their sources. Differences between them are useful evidence, but they do not by themselves explain why a product appeared.

The practical task is to inspect the products your customers use, with their search settings recorded. This guide separates information learned during training from information retrieved at the time of a question, then explains what you can check.

The two ways an engine finds your product

Before the per-engine detail, hold one distinction in your head, because it explains almost everything that follows. An AI assistant can know about your product in two ways, and they are not the same.

From the training corpus

A model can draw on information learned during training even when it does not search. A newly launched product may not have been represented in that material. You cannot establish exactly what the model saw from the answer alone.

You cannot directly inspect or edit what a model learned about your product. Public coverage may contribute to future training material, but no posting schedule guarantees inclusion or a particular description.

From live retrieval

With live retrieval, an assistant can search for pages while answering. Check the returned links for the facts that support its response. A current source can help it discuss information that was unavailable when the model was trained.

Record whether a response used search, which product you queried and when. Avoid inferring a provider’s balance of training and retrieval from its brand name or the style of one answer.

How to show up in ChatGPT

For a ChatGPT check, record the version or mode available to you and whether the response used web search. Save the answer and its links. If you also use an API measurement, label it separately from the consumer app.

Start with the customer’s wording. Asking for “tools for a two-person support team” tests a different need from asking whether your named product is suitable. Keep those results apart when judging how often people might encounter the product.

What makes you citable here

If a response cites a comparison, open it and check which claims the answer drew from it. Correct your own pages where they are wrong or incomplete, and support any request for a third-party correction with evidence.

On the product site, give visitors a clear account of the supported task, limits and setup. Include a concrete example where it helps. These are useful editorial choices; they do not guarantee that ChatGPT will retrieve or cite the page.

Checking recommendations in Perplexity

For a Perplexity check, begin with the same customer question and record the returned sources. Open the cited pages to see whether they support the recommendation and whether their information is current.

A citation is a route into the evidence. A page might supply a capability, a price or a customer’s experience. Note which role it plays before deciding that the page’s format or domain explains why it appeared.

What makes you citable here

When improving a page, keep the answer close to the question it resolves, and support comparisons with facts a reader can check. Do not compress qualifications out of a claim merely to make it easier to quote.

Perplexity’s returned sources describe that response. They are not a reliable substitute for checking ChatGPT, Claude or Google separately.

How to show up in Gemini and Google AI Overviews

Keep the Gemini assistant and Google AI Overviews as separate observations. They are different products, and an answer in one does not establish what appears in the other.

For Google’s AI search features, eligibility rests on the existing search requirements: a supporting page needs to be indexed and eligible for a snippet. Google does not require a new AI-specific file or schema. Eligibility still does not guarantee inclusion.

What makes you citable here

Check indexing and accessibility before diagnosing an absent page as a writing problem. Then review the page for clear answers and accurate visible facts. Use applicable structured data when it serves the page’s wider search needs.

• Give the page a title that accurately describes what it helps a reader do.
• Answer the main question early, then explain the conditions and reasoning.
• Use headings for distinct topics and keep important information in text.
• Support claims with an example, documentation or a source the reader can verify.

How to get cited by Claude

For a Claude check, record whether web search was available and used, along with the model and date where visible. Compare the actual responses instead of assuming that Claude consistently favours a particular style of source.

If the answer contains links, open them and verify their support for the recommendation. If it does not, keep that distinction in the record. A confident description is not a substitute for a source you can inspect.

What makes you citable here

Use specific product information and worked examples to address questions customers ask. Where an independent review or technical write-up appears in a response, read what it contributes before deciding whether there is a gap to fill.

A new or corrected page may appear in a later search-enabled answer, but the timing is uncertain. Log the edit and repeat the question without changing its wording to force a favourable result.

Tap to zoom

Why the four answers fragment, and what to do about it

Different providers can return different products and sources on the same question. Save the differences at the answer level. A provider-wide description such as “prefers freshness” is too broad to explain a particular result without supporting evidence.

Across these checks, a few editorial and measurement practices remain useful:

• Maintain accurate product pages with current capabilities and limitations.
• Answer real customer questions with enough detail to be useful.
• Record the source and date of facts that can change.
• Keep prompt wording, product and search settings stable when comparing answers.

These practices make information easier for a customer to find and assess. Continued measurement is how you learn whether the assistants use it; there is no guaranteed sequence in which each provider catches up.

Where to start this week

Choose a few questions that recent customers asked before deciding. Run them in the relevant assistants, save the complete responses and inspect the source links. Keep brand-prompted questions separate from category questions.

Choose the next task from what the answers show. That could be correcting a stale price, improving a comparison or documenting a supported integration. Keep the evidence attached so you can review whether the work addressed the original issue.

A recurring review takes time, especially across several providers. AfterLaunch monitors the leading AI search engines and prepares growth work with evidence and a draft. Its scan results describe the measurement surfaces used, which may differ from a consumer app session.