Key takeaways
- Mobile and desktop AI Overviews are genuinely different experiences: different viewport share, different citation display (desktop shows sources inline, mobile often hides them behind a "Show more" tap), and different trigger rates for local and commercial queries.
- The widely-cited device-split stats for 2026 contradict each other (one says ~59% of AIO impressions happen on desktop, another says ~81% of AIO-triggering queries come from mobile) because they're measuring different things, not because anyone's data is wrong.
- Google's AI Overviews pull primarily from the mobile index, so a thin mobile page can lose a citation even when its desktop twin is perfectly optimized.
- No major AI visibility platform, including Promptwatch's public data, currently publishes a device-segmented AIO citation report. That's a real gap in 2026, and it means most of what you'll track has to be first-party.
- SERP "decoupling" (bot-vs-human results, goto redirects, hyper-localization) means any single tracked position should be treated as a directional signal, not a precise number. Triangulate tracker data with Search Console and manual spot-checks on both device types.
Why this question even needs asking
A year ago, most SEOs treated "did we get cited in the AI Overview" as a single yes/no question. It isn't. Google renders AIO differently depending on screen size, and the underlying retrieval can pull from a different index entirely. If you're only checking AI Overviews from a desktop browser, you might be missing half the story, or worse, drawing conclusions from a view your actual mobile-heavy audience never sees.
A Reddit thread in r/localseo put it bluntly: AI Overview might give a summary-style answer while the regular desktop SERP still shows ranking pages, and mobile leans harder on local results and quick answers. It's not that one device is "wrong" and the other "right" — they're optimized for different use contexts, and Google's AIO layer inherits that split.
The device-split stats don't agree, and that's worth understanding
If you've gone looking for a clean number on mobile vs desktop AIO presence, you've probably found two numbers that can't both be true at face value:
- One widely cited figure (sourced from Conductor) puts desktop at 59% of AI Overview appearances versus about 39% on smartphones.
- Another frequently quoted figure says roughly 81% of AI Overview-triggering queries happen on mobile.
These aren't actually contradicting each other once you look closer; they're measuring different things. The first is likely counting the share of AIO impressions sampled across a tool's tracked keyword set, which often skews toward desktop-style informational queries. The second is counting the share of all search queries that originate from mobile devices generally, then layering AIO trigger rates on top of that traffic split. Since mobile carries the majority of raw search volume (Statcounter put mobile at roughly 59.6% of global web traffic versus 38.8% for desktop as of late 2025), a stat about "share of mobile queries that get an AIO" will naturally look very different from a stat about "share of tracked keywords where the desktop version triggered an AIO."
The lesson: when you see a device stat in an AIO report, check what it's actually counting before you build a strategy around it. "Appears more often" and "gets triggered by more total queries" are not the same claim.
What actually changes between mobile and desktop AI Overviews
Putting the contested percentages aside, the structural differences are easier to verify and more useful for day-to-day work.
Layout and real estate
Desktop AIO typically occupies around 42% of the viewport, with some organic results still visible alongside it. Mobile AIO tends to eat more of the screen, close to 48%, and pushes the regular blue links below the fold entirely. That alone changes user behavior: a mobile user has to scroll past the AI answer to even see traditional results, while a desktop user often sees both at once.
How citations are displayed
This is the part that trips people up. On desktop, source citations usually appear inline or expanded, with visible favicons and related questions shown by default. On mobile, citations are frequently collapsed behind a "Show more" tap, and related questions get pushed into a separate section. A brand can technically be cited on both devices and still be effectively invisible on one of them unless the user taps through. If you're only checking whether you're "cited" without checking whether that citation is visible without extra interaction, you're measuring the wrong thing.
Query behavior and trigger rates
Desktop searches skew longer and more research-oriented, with a higher chance of follow-up queries. Mobile searches are shorter, more conversational, and more likely to come from voice input as a single-shot session. Informational queries trigger AIO at similarly high rates on both devices, but commercial queries trigger it slightly less often on mobile, and local queries frequently get replaced by a Maps integration on mobile instead of an AI Overview at all.
Zero-click behavior
Mobile shows a higher zero-click rate because users are more likely to accept the AI answer at face value rather than scroll. Desktop users more often open multiple tabs to compare sources. If your business depends on click-through rather than brand impression, that gap matters more than the raw presence numbers.
| Dimension | Desktop | Mobile |
|---|---|---|
| Viewport share of AIO | ~42% | ~48% |
| Citation visibility | Inline, expanded by default | Often collapsed behind "Show more" |
| Related questions | Shown alongside citations | Separate section |
| Commercial query trigger rate | Baseline | Slightly lower |
| Local query behavior | AIO shows | Often replaced by Maps |
| Zero-click tendency | Lower (multi-tab comparison) | Higher (accept-and-go) |
Why mobile indexing matters more than people think
Here's the technical root cause that explains a lot of the device gap: Google's AI Overviews draw primarily from the mobile index, not a separate desktop crawl. Google's own documentation on mobile-first indexing is explicit that only what's rendered on the mobile version of a page gets used for indexing. If your mobile page is missing structured data, has thinner content, or drops images and alt text that exist on desktop, you can lose an AIO citation even though your desktop page looks complete. This isn't a quirky edge case, it's the default behavior for the majority of sites in 2026.
Practically, this means the fix for "we're not showing up in mobile AI Overviews" is often not a mobile-specific AIO tactic at all. It's going back and auditing whether your mobile page is a faithful, complete version of your desktop page.
The bigger problem: tracking accuracy itself got harder in 2026
Before you build a device-tracking workflow, it's worth knowing that rank and AIO tracking generally got messier after Google's May 2026 core update. Three things are compounding:
- Hyper-localization means a single country-wide query no longer resolves to one stable result set.
- Google now appears to serve a simplified page to automated, bot-like requests that can differ from what a real human session sees, sometimes dropping the AI Overview entirely for suspected bots.
- Clickstream-driven re-ranking (the NavBoost-style signal) shapes what a real user sees in ways a clean automated query never triggers.
On top of that, Google began rolling out google.com/goto tracking redirects on result links in late August 2026. Since the destination URL is encoded and can't be decoded locally, a tracker has to actually request each redirect to resolve where a link points, which can mean hundreds of requests to fully resolve one SERP. That traffic pattern looks bot-like and gets IP ranges flagged, which degrades tracking accuracy across the board, not just for one vendor.
The practical fix recommended by Advanced Web Ranking: report tracked positions as ranges or trends instead of single daily numbers, track from precise city-level locations instead of country-wide composites, and triangulate three sources, tracked positions, Search Console impression and position trends, and dated SERP snapshots, rather than trusting any one number on its own.
Where the public data falls short on device splits
This is worth being honest about: even the best first-party AI search datasets published in 2026 don't currently break citations out by device. Promptwatch's own research, for example, tracks AI Overview citation share by content type over time and tracks domain-rank patterns for ChatGPT citations, but neither of those reports segments by mobile versus desktop. A dedicated April 2026 citation-pattern study from Digital Applied sampled 1,000 AI Overviews, and the authors explicitly caveated that their results came from US-English desktop search only and weren't representative of mobile-first markets.
In other words, if you're looking for a definitive public dataset that says "X% of AIO citations appear only on mobile," it doesn't really exist yet. Most of what you'll find is desktop-sampled, with device behavior described qualitatively rather than quantified at scale. That's a gap your own first-party testing needs to fill.
How to actually set up device-level AIO tracking
- Test both device types independently and don't assume parity. Run the query on an incognito desktop browser and separately on the Google app or Chrome mobile incognito. Tap through "Show more" on mobile before deciding a citation isn't there.
- Log presence, citation status, and which sources appear, per device, per query, in a tracking sheet. A spreadsheet beats guesswork here.
- Use a rank tracker that explicitly separates desktop and mobile results rather than one that reports a blended average. Several platforms do this at the core rank-tracking level, even if AIO-specific device splits are still catching up.
- Treat your mobile page as the one that matters for AIO citation eligibility, since Google's AI Overviews draw from the mobile index. Audit structured data, image alt text, and content parity between mobile and desktop versions of your key pages.
- Cross-check tracker output against Google Search Console's own performance data and the occasional manual spot-check, especially after a core update, since no single automated source is fully trustworthy right now.
Tools that support device-level tracking
A handful of platforms explicitly separate desktop and mobile in their core rank tracker, which is the foundation you need before layering AIO-specific monitoring on top.
Semrush's Position Tracking module lets you toggle between desktop and mobile to see AI Overview inclusion per device. SEO consultant Brodie Clark has noted that mobile generally shows fewer AIO inclusions than desktop in Semrush's data, which lines up with the trigger-rate differences described above.
SE Ranking's core rank tracker checks the top 100 results daily on every plan, across Google, Bing, YouTube, and Maps, with desktop and mobile results kept separate and 35-plus SERP features flagged. Its AI Results Tracker add-on covers AI Overviews, AI Mode, and (with limits) ChatGPT.
Serpstat refreshes desktop and mobile positions daily and bundles rank tracking with site audits and backlink data from one login, plus an AI Overview "Brand Opportunities" report on its Team tier and above.
Advanced Web Ranking reports pixel position, the exact vertical distance from the top of the page, and flags above-the-fold visibility separately per device, which is one of the more precise ways to answer "is my citation actually visible without scrolling on mobile."
Otterly.AI tracks ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot, though Google AI Mode and Gemini are paid add-ons on top of the base plan rather than included by default.
Otterly.AI
| Tool | Desktop/mobile split | AIO coverage | Starting price |
|---|---|---|---|
| Semrush | Yes, toggle in Position Tracking | AIO inclusion flagged per device | ~$99/mo for AI Visibility SKU |
| SE Ranking | Yes, core tracker | AIO, AI Mode, limited ChatGPT | ~$52/mo entry, $150-240/mo for real coverage |
| Serpstat | Yes, daily refresh | AIO Brand Opportunities on Team tier+ | From $50/mo |
| Advanced Web Ranking | Yes, with pixel position | CTR weighting by SERP feature present | Custom/enterprise |
| Otterly.AI | Via device-specific crawls | ChatGPT, AIO, Perplexity, Copilot (Gemini/AI Mode extra) | $29/mo Lite |
Where AI visibility platforms like Promptwatch fit in
Beyond classic rank trackers, broader AI visibility platforms are useful for the parts device-level SERP checking can't cover, like whether your actual mobile traffic from AI engines converts differently than your desktop traffic. Promptwatch tracks citations across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, AI Mode, and more, and pairs that with visitor analytics that show real traffic and conversions landing on your site from AI platforms, not just a mention count. That's a different and arguably more useful signal than "are we cited on mobile" in isolation, because it tells you whether the citations you do get, on whichever device, actually translate into visits.
If you want a broader view of how AI search behavior shifts month to month, the GEO software directory at bestgeosoftware.com is a reasonable place to compare platforms side by side before committing to one.
A realistic checklist for 2026
- Don't trust a single desktop check as proof you're (or aren't) cited in an AI Overview. Repeat the test on mobile, with the "Show more" sources expanded.
- Audit your mobile page content for parity with desktop, since AIO pulls from the mobile index by default.
- Expect commercial and local queries to behave differently on mobile, often giving way to Maps results instead of an AI Overview.
- Treat any single tracked position as a trend, not a fact, given the SERP decoupling and goto-redirect issues affecting trackers industry-wide in 2026.
- Pair SERP-level device tracking with a platform that measures actual AI-driven traffic, so you know whether the device gap is costing you visibility or just costing you a vanity metric.
The honest answer to "do mobile and desktop show different AI Overview results" is yes, consistently, across layout, citation visibility, and trigger rate. What's still unresolved in 2026 is getting a clean, standardized number for exactly how different, because the public datasets haven't caught up to device-level granularity yet. Until they do, your own side-by-side testing is the most reliable source you have.