How do I define the website and app entities?
Start by deciding whether your website and mobile app represent one brand, separate products, or a brand with distinct jobs to do. Record the official name, category, audience, product terms, app store listing names, website domains, and key URLs for each surface before measuring visibility.
Check whether the same product name, company description, pricing language, and feature claims appear across the website, app store listing, help centre, and in-app screens. Differences do not always require identical wording, but they should not create competing answers. Mark content that exists only after login because ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, and Google AI Mode may not be able to use it in the same way as public pages.
Create a simple map linking each app capability to its public explanation. Include the page that explains the capability, the app store description, and any public support article. The map gives later testing a way to distinguish a missing reference from a missing feature explanation.
Build prompts around journeys across both surfaces
Build a prompt set that follows a buyer from category research to product use, rather than testing the brand name alone. Include questions about the problem, comparisons, suitability, features, setup, security, pricing, support, and the point at which a mobile app becomes useful.
Check each prompt for the surface it should produce. A category question may need a website page, while a setup or mobile-use question may need an app reference supported by a public help page. Add variants that use the company name, product name, generic language, common misspellings, and competitor names. Keep the original wording and record the date, market, language, and device context where relevant.
Test the same prompt family in ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, and Google AI Mode. A response that names the website but ignores the app is a different gap from a response that names neither. Separate those outcomes so the team does not rewrite a strong website page to solve an app discovery problem.
Measure mentions, citations, positions, and surface handoffs
Measure four separate outcomes: whether the brand is named, whether a source is cited, where the brand appears, and whether the answer moves the reader between website and app. A brand can be mentioned without a supporting citation, or cited through a website page while the app remains absent.
Check the cited URL, not only the wording of the response. Record whether the source is a product page, help article, app store listing, developer document, or another page. For app-related answers, note whether the response gives a public explanation, names the app, describes an app-only action, or sends the reader to a dead or ambiguous destination. Track competitors and substitute products shown instead.
Cituna records which brand each of the seven named engines mentions and cites, the position of that mention, and the competitors and pages that appear instead. Its Google Search Console connection lets a team compare visibility changes with clicks, while the separate surface labels preserve the distinction between a website win and an app win.
Check public access and machine-readable relationships
Check that every important app capability has a clear, publicly reachable explanation before changing copy. Answer engines need a usable source that describes what the capability does, who it is for, and how it relates to the brand and product, while app-only screens may not provide that context.
Review indexability, canonical URLs, redirects, rendering, structured data, headings, and internal links on those public pages. Confirm that the page does not contradict the app store listing or support content. Use relevant Organization, SoftwareApplication, Product, FAQ, or HowTo markup only when the visible page supports it. Structured data can clarify relationships, but it cannot substitute for missing or unclear content.
Check app store descriptions and public developer or support pages for stale names, broken links, unsupported claims, and feature labels that differ from the website. Keep login-required details behind the product experience, but publish enough accurate context for a reader to understand the app's role. Teams managing several offers should also read Manage AI Visibility Across Product Lines when one app serves multiple products.
Choose the first fix by gap type
Choose the fix according to the missing evidence, not according to which surface feels most important. If the brand is absent from category answers, improve the public category and use-case page. If the website is cited but the app is omitted from mobile-use answers, clarify the app's role on the relevant public page and app listing. If a wrong page is cited, repair the page relationship and conflicting language first.
Check whether the problem is discovery, interpretation, or trust. Discovery gaps need crawlable pages and links. Interpretation gaps need precise feature, audience, and product wording. Trust gaps need consistent claims, current documentation, and a source that supports the answer. A new article is a poor first fix when the existing page already contains the required evidence but uses a different product name.
For every proposed change, write the target prompt, expected citation or mention, source URL, owner, and validation date. Cituna turns detected gaps into suggested schema, FAQ markup, llms.txt, and page changes, so the team can connect a measured failure to a concrete action rather than collecting an undifferentiated backlog.
Coordinate app listing, website, and support changes
Coordinate changes across the app store listing, website, support centre, and product release notes when one change affects how the app is described. Updating only the website can leave answer engines with an older app name, feature label, or availability statement elsewhere.
Check the exact terms that should remain stable, including the official app name, supported platforms, core use cases, feature names, and the relationship between the app and the broader product. Ask product, support, and marketing owners to review the same source of truth. Remove obsolete pages or redirect them where appropriate, and update internal links from feature pages to the public app explanation.
Use a release checkpoint for changes that alter pricing, packaging, login requirements, or app functionality. Test prompts before and after publication, then inspect citations and answer wording rather than relying on rankings alone. Teams with separate domains or regional properties should also review AI Visibility Across Subdomains to prevent a correct app explanation from being isolated on one site surface.
Validate fixes across engines and journeys
Validate every fix against the original prompt, close variants, and the other journey stages before calling it successful. A page may improve a branded feature query while leaving category, comparison, or setup questions unchanged.
Check all seven engines, ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, and Google AI Mode, because a citation or app reference can differ by engine. Compare the cited source, mention position, competitor presence, and handoff between website and app. Record whether the response gives a useful next action or merely repeats the brand name.
Run a second check after search and content systems have had time to process the change, without treating one response as proof. Look for durable improvement across related prompts and for regressions in pricing, support, or competitor comparisons. Cituna can run daily scans on every plan, and its AutoSEO can write from identified gaps and Search Console demand, publish through WordPress, Shopify, a GitHub repository, or a CMS webhook, or hold content for approval.
Set ownership and a repeatable review cycle
Assign one owner for measurement, one for source changes, and one for app or product confirmation, then review the same prompt set on a regular schedule. Ownership prevents a visibility gap from becoming a disagreement about whether marketing, product, support, or engineering should fix it.
Check changes that can alter answers even when no page was intentionally edited. Product releases, pricing updates, renamed features, app store revisions, domain migrations, new competitors, and changes to public access can all change what ChatGPT, Perplexity, Gemini, Claude, Grok, Google AI Overviews, and Google AI Mode return. Keep a change log beside the prompt results so movement has an explainable cause.
Use a decision rule for escalation: repair the source when the answer cites an outdated or wrong page, expand public evidence when the answer cannot connect the app to the product, and revisit positioning when competitors consistently answer the same need more clearly. Cituna's hosted MCP server connects Claude or another AI agent to the same visibility data, with read tools on every plan and broader scan, edit, and article-queue actions on Pro.
Related reading
- AI Content Visibility: An 8-Step Check
- Fix Low AI Visibility: An 8-Step Diagnosis
- Coordinate AI Visibility With Customer Success
Sources consulted
- Google Search Central (developers.google.com)
- OpenAI platform documentation (platform.openai.com)
- Google Search Console Help (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.