A 60-minute audit across ChatGPT, Perplexity, Gemini and Google AI Overviews.
What you'll do in the next 60 minutes
- 10 min - Pick 10 to 15 prompts a real user in your category would type into AI search.
- 20-30 min - Run them across ChatGPT, Perplexity, Gemini, and Google AI Overviews and record what comes back.
- 15 min - Compare results, identify gaps, and write down quick wins.
- 5 min - Pick the first three things to fix this week.
Why This Matters (Briefly)
Users are increasingly asking AI before they ever browse the App Store. Apple now reports AI-driven traffic as a measurable referral source inside App Store Connect (added in their March 2026 analytics update). AppTweak launched a dedicated AI Visibility product in April 2026. The signals that this is a real channel - not a future one - are everywhere.
For the full strategic context, read The App Discovery Shift: Why ASO Alone Won't Cut It in 2026. This post is the tactical companion. We're going to actually run the audit.
Step-by-Step: How to Audit Your AI Visibility
Choose Your Test Prompts (10-15 minutes)
Build a list of 10 to 15 prompts a real user in your category might ask. Mix generic and specific. Mix branded and non-branded. Include location-specific prompts if your app has regional relevance.
Examples to start from:
- “What's the best [your category] app?”
- “Recommend an app for [your use case].”
- “What app should I use to [specific task]?”
- “[Competitor name] alternatives.”
- “Best free [your category] app in [country].”
- “What's a good app for [specific scenario]?”
Tip: write down the prompts in a Google Sheet or Notion table now. You'll thank yourself in step 3.
Test Across Multiple AI Platforms (20-30 minutes)
Run every prompt through these four platforms. Don't skip any of them - they pull from different indexes and produce different results.
- ChatGPT (use a fresh chat each time)
- Perplexity
- Google Gemini
- Google AI Overviews (search the prompt in Google directly)
For each prompt, record:
- - Does your app appear?
- - What position is it in (first, third, buried)?
- - What does the AI say about your app? Is it accurate?
- - Which competitors appear, and how are they described?
Pro tip: Use fresh or incognito sessions to avoid personalisation bias. ChatGPT in particular weights heavily towards your past conversations if you're logged in. You want a clean read.
Analyse the Results
Once you have your data, look for patterns. The shape of the gap matters as much as whether you appear at all.
- Frequency: How often does your app appear vs. competitors? If you appear in 2 of 15 prompts and your top competitor appears in 12, that's a discoverability problem.
- Accuracy: When your app is mentioned, is the description correct and current? Wrong feature lists or outdated positioning are common.
- Sentiment: Is the AI's framing positive, neutral, or negative? Negative framing usually traces back to review sentiment or unresolved support issues that have leaked into web content.
- Pattern: Do you appear for feature-specific queries but not category-level ones? Or the reverse? Both indicate different gaps.
- Competitor displacement: Who's taking the spots you should own, and what are they doing on the web that you aren't?
Identify the Gaps
Sort your findings into four buckets. Each one points to a different fix.
- Category visibility gap: You're missing on broad category prompts. Usually an authority and content problem.
- Accuracy gap: AI mentions you but gets details wrong. Usually a metadata and web content problem.
- Sentiment gap: AI mentions you with negative framing. Usually a review management problem.
- Competitor displacement gap: Specific competitors consistently outrank you. Usually a combination of all of the above.
What Influences AI App Recommendations
Now that you have a baseline, here's what AI engines are actually weighing when they decide which app to recommend. Understanding this turns your audit findings into a fix list.
App store metadata quality
Title, subtitle, description. Clear, benefit-focused, well-structured. AI engines synthesise these into the description they give users.
Review volume and sentiment
AI weighs reviews heavily. Both how many you have and what they actually say. Specifics in reviews translate to specifics in recommendations.
Web presence
Your website, landing pages, third-party review sites, and comparison articles. The wider your footprint, the more sources AI can pull from.
Authority signals
Press coverage, industry mentions, backlinks. These signal credibility. AI engines use the same authority signals search engines use, with extra weight.
Consistency across surfaces
Same positioning, same key benefits, same language across your app store listing, website, reviews, and social. Inconsistency confuses AI engines and gets you skipped over.
Quick Wins You Can Implement Today
Seven moves you can make this week. None of them require a redesign or a budget request. All of them start improving your AI Visibility within weeks.
Rewrite your app store description
Benefit-focused, structured, and machine-readable. Stop keyword stuffing. Lead with what your app does for users and follow with how, not the other way around.
Build a proper app website page
If your app website is a thin landing page, you're invisible to AI. Add a dedicated page with clear, structured information about features, use cases, pricing, and the specific problems you solve.
Respond to every app store review
Especially the negative ones. AI engines notice this. So do users. Public, helpful responses change review sentiment over time.
Audit third-party review sites
Capterra, G2, Product Hunt, AlternativeTo. Make sure the information about your app is accurate, current, and includes the positioning you want AI engines to pick up.
Create FAQ content on your website
Use the same questions users are asking AI. If your FAQ pages answer the question well, AI will lift from them. If you don't have FAQ content, AI lifts from competitors that do.
Build comparison pages
“Your App vs Competitor” pages help AI engines understand your positioning. Done well, they also rank in traditional search and pull users at high commercial intent.
Encourage detailed reviews
Prompt happy users at moments of value to leave reviews that mention specific features and use cases. “Great app” is useless to AI. “Best meditation app I've used for sleep, the soundscapes are unreal” is gold.
When to Get Professional Help
The audit above gives you a snapshot. The hard part is the ongoing work: systematic tracking across all major AI surfaces, competitive benchmarking, and a coordinated strategy that ties ASO and web presence together. Most teams have the capacity for the audit but not the bandwidth to act on it consistently.
That's where we come in.
We've built a systematic approach to this. Our App Discovery Optimisation service combines ASO with AI Visibility monitoring, starting with a comprehensive audit across 20 to 30 category-relevant prompts and benchmarked against your top competitors.
FAQ: Auditing AI App Visibility
How often should I check my AI visibility?
We recommend a structured audit at least once a quarter, with lighter spot-checks every month. AI search engines update their underlying models and ranking signals frequently, so positions you held three months ago may have shifted. Quarterly audits give you enough cadence to spot trends without obsessing over single-snapshot noise.
Does AI visibility affect my app store rankings?
Indirectly, yes. Apps that are recommended more often by AI search engines get more downloads from those recommendations, and download velocity is a signal in app store algorithms. AI search and app store search are not the same channel, but they reinforce each other. Strong AI Visibility tends to correlate with stronger store performance over time.
Can I optimise for AI recommendations without changing my ASO?
Partially, but you'll leave value on the table. AI engines pull from your app store metadata as one of their primary inputs. If your store listing is keyword-stuffed, badly structured, or vague about what your app actually does, AI search will struggle to describe it accurately. The most effective approach is to improve ASO and AI Visibility together - they share most of the same underlying signals.
How long does it take to improve AI visibility?
Initial improvements - from clearer metadata, better structured descriptions, and stronger web content - typically show up in AI responses within 2 to 6 weeks as the underlying indexes refresh. Authority-driven gains (more third-party mentions, improved review sentiment, web content scaling) compound over 3 to 6 months. It's a discipline, not a one-time fix.
Do I need a specialist agency for this?
You can run the audit above yourself in an afternoon. The harder part is acting on it consistently across ASO, web content, and authority building - and tracking results across multiple AI surfaces over time. Most teams have the bandwidth for the audit but not for the ongoing optimisation. That's where a specialist like 44Degrees comes in.
Want a professional AI Visibility Audit?
We test across 20 to 30 category-relevant prompts, benchmark against your competitors, and deliver a prioritised action plan. Book a free 30-minute call and we'll show you exactly what we'd look at for your app.
Or learn more about our App Discovery Optimisation service.