What app marketplace questions do buyers ask?
Start with the questions that could cause an AI assistant to recommend, compare, or exclude your app. Write them as buyers would ask ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, or Google AI Mode, rather than as internal product categories.
Group the questions by decision stage. Discovery prompts ask which apps solve a problem. Comparison prompts name several alternatives. Selection prompts ask about compatibility, security, pricing, setup, or a specific workflow. Include prompts that mention the marketplace and prompts that describe the job without naming a store.
Check whether every prompt has a clear answer in your app listing, on your website, or in your documentation. Mark questions where the answer depends on a detail such as operating system, integration, user role, or plan. Those details often determine whether an assistant can distinguish your app from a similarly named product.
Do not begin by rewriting the listing. First create a prompt set that reflects real buying decisions. A short, well-grouped set is more useful than a large collection of vague product terms because it lets you connect an omission to a missing or conflicting piece of evidence.
2. Establish a seven-engine baseline for marketplace queries
Record which app each engine names, cites, or leaves out before changing any marketplace or website content. A useful baseline captures the full answer, the position of your app when it appears, the competing apps named, and the pages or listings used as evidence.
Run the same prompt wording across ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, and Google AI Mode. Save the date, location where relevant, prompt version, app name, marketplace name, and answer text. Separate being named from being cited. An app may appear in a recommendation without a source, or its marketplace listing may be cited while the app itself is not recommended.
Cituna is an AI visibility platform that asks all seven engines the questions a brand's buyers ask every day and records who each answer names and cites, at what position, plus the competitors and pages that appear instead. That gives a team a way to compare marketplace queries without relying on one engine's answer.
Check for patterns, not a single surprising response. If several engines omit the app on the same question, investigate the underlying evidence. If only one engine differs, preserve the observation but avoid making a broad content change from it alone.
3. Separate marketplace listing gaps from website gaps
Decide whether the missing recommendation is caused by the app listing, the owned website, or a mismatch between them. The correct fix depends on where an engine can find the fact it needs.
Inspect the marketplace listing for a precise app name, publisher identity, category, core use case, supported platforms, integrations, audience, and current capabilities. Check whether the first visible description answers the buyer question directly. Vague slogans and feature collections make it harder to connect the listing with a specific need.
Then inspect the corresponding pages on your website and in your documentation. Look for the same facts, using compatible wording without copying the listing mechanically. Check whether a page explains who the app suits, what it replaces, how it works with other tools, and where its limits apply. A marketplace page can attract attention while an owned page supplies the detail needed for a confident answer.
The key failure mode is contradiction. If the listing describes one audience, the website describes another, and documentation uses a different product name, changing only the listing may not resolve omission. Treat the conflicting fact as the first repair, then retest the original buyer prompt.
4. Make the app entity unambiguous across every surface
Make one app clearly identifiable as one product, publisher, and set of capabilities across its marketplace listing, website, documentation, and integration pages. Entity confusion can make an assistant name the parent company, a similarly named app, or a competitor instead.
Check the exact product name, publisher name, logo description, domain, app category, and supported environments everywhere they appear. Use a consistent short description that says what the app does and for whom. Distinguish the app from a company, feature, plugin, template, or integration with a similar name.
Review links between surfaces. The marketplace listing should lead to a relevant owned page, while the owned page should identify the marketplace presence when that helps a buyer verify the product. Keep product names in page titles, headings, metadata, and visible copy aligned. Use structured data on owned pages only when it accurately describes the page and the product.
For connected products, inspect the separate treatment of each integration. Guidance on AI visibility for software integrations can help when the marketplace listing depends on another platform or workflow. Check whether the integration page names your app, the connected service, the use case, and the limitation instead of leaving the relationship implicit.
5. Fill the evidence gaps behind recommendation claims
Replace unsupported recommendation language with evidence that lets an engine answer the buyer's specific question. Claims such as easy, secure, flexible, or best do little unless a page explains the condition under which the claim is true.
For each omitted prompt, write down the fact an answer would need. A compatibility question needs the supported environment and any restrictions. A comparison question needs a clear difference that can be verified. A workflow question needs the steps, inputs, outputs, and boundary conditions. A pricing question needs the current commercial information and a date or source when appropriate.
Check whether the evidence exists in a crawlable, readable location rather than only inside screenshots, videos, interface text, or a download. Add a focused FAQ or explanatory section when the question deserves a direct answer. Use FAQ markup only when the visible page contains the same answer. Add schema, llms.txt, or page changes as supporting measures, not as substitutes for clear content.
Keep the marketplace description concise and put deeper proof on owned pages. A listing can state the use case and differentiator, while documentation can support the technical detail. The improvement is strongest when both surfaces answer the same question without making identical promises.
6. Choose the surface that can fix the omission fastest
Choose the marketplace listing, an owned page, or both according to where the missing fact is controlled and where the engine found competing evidence. A listing edit is the right first move when the app name, category, use case, or supported platform is unclear there. An owned-page change is better when the listing is accurate but lacks proof or useful detail.
Use both surfaces when the app is described differently in each place. Update the controlled source first, then bring the other surface into agreement. Do not create a new page merely to repeat an existing description. Create one when buyers have a distinct question that the current listing and site do not answer well, such as implementation limits or a specific integration workflow.
Cituna can show the competing pages and prompts associated with each visibility gap, then generate fixes such as schema, FAQ markup, llms.txt, and page changes. Its AutoSEO can turn identified gaps and Search Console demand into articles, with publishing to WordPress, Shopify, a GitHub repository, or another CMS by webhook. A team can hold those articles for approval or publish them automatically.
Check the change against the original prompt before expanding it. The fastest surface is not always the most influential one, and adding content to the website cannot correct an inaccurate marketplace identity.
7. Test the changed listing and supporting page together
Test the marketplace listing and its supporting page as one buyer journey, then isolate the change if the answer improves or declines. An assistant may use the listing to identify an app and the owned page to justify recommending it, so testing only one surface can hide the cause.
Repeat the original prompts with the same wording and record naming, citation, position, competitors, and cited pages. Add a small set of closely related prompts to check whether the improvement covers the underlying use case rather than one exact sentence. Check whether the new answer describes the app accurately, because visibility gained through a misleading or outdated claim is not a useful result.
Compare results by engine. ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, and Google AI Mode may draw on different evidence and refresh at different times. A delayed change is not proof that the copy failed, and one changed answer is not proof that every surface is fixed.
Use Google Search Console to check whether updated owned pages gain relevant search demand or clicks. Cituna includes Google Search Console so teams can connect content changes with click movement, while its engine records show whether the buyer questions themselves changed. Keep a record of the exact edit and the prompt set used for the retest.
8. Set a decision rule for the next marketplace change
Make the next change based on the type of omission that remains, not on a general desire for more AI visibility. If the app is never identified, repair its name, category, publisher, or core use case. If it is identified but not selected, add evidence for the buyer's comparison or eligibility question. If it is selected but not cited, strengthen the relevant owned page and its connection to the listing.
Check whether the remaining problem is factual, structural, or coverage-related. Factual problems require correcting claims. Structural problems require clearer page relationships, headings, metadata, or valid markup. Coverage problems require answering a real buyer question that no existing page handles. Keep those decisions separate so a broad content rewrite does not obscure the cause.
Review the same marketplace prompt set after meaningful product, integration, audience, or pricing changes. Do not treat every fluctuation as a new project. A useful threshold for action is repeated omission of the same app or fact across related prompts, especially when a competitor is consistently supplied as the answer.
Tools to boost AI search results are useful only when they connect measurement to a specific change. Choose a workflow that shows the prompt, missing evidence, proposed fix, approval state, and follow-up result. The goal is a traceable correction from buyer question to marketplace evidence to engine answer.
Related reading
Sources consulted
- Google Search Central (developers.google.com)
- OpenAI developer documentation (platform.openai.com)
- Perplexity developer documentation (docs.perplexity.ai)
- Google Search support (support.google.com)
Drafted with AI assistance from our own research and Search Console data, and reviewed by Rahul A before publishing. Rules and prices change; check the linked official source before you act.