An SEO specialist checks the website's positions in the morning — TOP-3 in the desktop SERP. The client opens the same query on their phone — the site is not even on the second page. Panic ensues, although in reality, nothing is broken: Google has long been showing different results for mobile and desktop users, and without the right monitoring methodology, you will receive conflicting data endlessly.
Why mobile and desktop Google SERPs differ
Since 2019, Google has fully transitioned to Mobile-First Indexing — the index is built primarily based on the mobile version of the site. It would seem that this should have unified the results, but in practice, the opposite has happened: the algorithm has learned to differentiate results even more based on the type of device from which the query originated.
Desktop results more often show classic organic results with expanded snippets, sitemaps, and "People also ask" blocks in an expanded form. Mobile results prioritize local results, maps, quick answer blocks, videos, and AMP pages (where they are still used). For commercial queries on mobile devices, sites with responsive design, fast loading, and structured data often rank higher — this is directly related to Core Web Vitals, which are assessed more stringently for mobile traffic.
For agencies and marketers who report to clients on positions, this creates a problem: if you measure the site only from desktop, you may miss a drop in mobile results, from which 60-70% of traffic now comes for most niches. Conversely, focusing only on mobile positions can easily overlook a drop in the desktop segment, which is still critical for B2B and high-value transactions.
Key factors of result discrepancies
The discrepancy in positions is not a coincidence or a bug in the monitoring system. It is the result of the overlap of several factors that work simultaneously.
Local search and geolocation. On mobile devices, Google aggressively uses data about the user's location — GPS, Wi-Fi networks, cell towers. Desktop search often relies only on the IP address. This means that the query "cafe nearby" on a phone and on a computer in the same network can yield different results simply because the mobile geolocation module is more accurate.
Personalization and search history. If a user is logged into Google on their phone and regularly searches for something specific, the results are tailored to their interests. When checking positions in incognito mode, this should not affect the results, but many specialists still monitor positions through a regular browser without clearing cookies.
Loading speed and UX metrics. Google evaluates the mobile version of the site separately from the desktop version: LCP, FID (now INP), CLS are calculated based on mobile traffic primarily. A site with a heavy desktop version but a lightweight mobile version will receive a bonus specifically in mobile results.
Different SERP features. Featured snippets, carousels, shopping blocks, and local packs are displayed differently depending on the device. A position of "3" in organic results on desktop may actually mean "1" on mobile if there is no local pack that takes up the top of the page.
Why monitoring from a single IP gives incorrect data
The main mistake when manually checking positions is to open Google from a work computer and compare the result with what is seen on a personal phone. The problem is that both queries are sent from the same office or home IP address, often from the same data center or subnet of the provider. Google sees this as a single source and may provide a mixed, personalized, or "averaged" picture that does not reflect the actual position for a user from another city or region.
Additionally, the issue of IP reputation comes into play: if many automated queries to Google are coming from one address (which is how position parsers operate), the search engine starts showing CAPTCHAs, limited results, or even blocking requests altogether. This is especially critical for agencies that monitor dozens and hundreds of keywords daily for several clients simultaneously.
Another nuance is the geolocation of the IP. If you are checking positions for a client from Krasnodar, and your parser is working from a Moscow data center IP, the result will reflect the output for Moscow, not for the target region. For local SEO (restaurants, services, regional online stores), this completely devalues the position report — the client receives numbers that do not correspond to what their actual customers see.
That is why professional rank trackers and agencies use proxies tied to a specific city or region, rather than a single office IP address. For accurate monitoring for each device and region, a separate, clean IP address is needed that corresponds to the type of traffic — mobile or desktop.
How to correctly set up position monitoring
To obtain data that accurately reflects what the user sees, monitoring needs to be structured along three axes simultaneously: device type, geolocation, and IP cleanliness.
Step 1. Separate checks for mobile and desktop results. Almost all modern rank trackers (Topvisor, SE Ranking, Serpstat, Ahrefs Rank Tracker) allow you to specify the device type when creating a project. If you are monitoring positions manually through a browser, use mobile User-Agent emulation in DevTools or a separate mobile profile in an anti-detect browser — otherwise, Google will by default provide the desktop version of the results.
Step 2. Tie each check to the required region. For local businesses, it is important to measure positions specifically from the city where the clients are located, not from the region where your office or server is physically located. For this, proxies with geotargeting at the city level are needed, not just at the country level.
Step 3. Use different IPs for mobile and desktop traffic. Since Google analyzes behavior patterns tied to the type of network (mobile operator vs regular internet provider), for the most realistic picture, mobile queries should go through mobile proxies, and desktop queries through residential IPs of regular providers. This way, the results will be formed just like for a real user from a specific type of device.
Step 4. Rotation and limiting request frequency. Even with good proxies, it is not advisable to send hundreds of requests from one IP in a short period — this still looks like automated parsing. Set up IP rotation in the rank tracker or proxy manager so that requests are evenly distributed among different addresses in one region.
Tools for rank tracking and proxies for them
Most SEO specialists do not write parsers themselves — they use ready-made position monitoring services that already know how to work with geolocation and device type, but do not always provide control over the quality of the IP through which the request is made.
Topvisor and SE Ranking allow you to set up position checks separately for mobile and desktop results with city ties, but the built-in pool of IPs is often shared among all clients of the service — this can lead to CAPTCHAs and inaccurate data with high check frequencies.
Serpstat and Ahrefs provide access to historical position data and perform well with desktop results, but for the mobile segment, accuracy is lower due to the peculiarities of their data collection infrastructure.
If you are building your own monitoring system or using custom scripts on top of SERP service APIs, it is important to control which type of proxy each request goes through. To simulate a mobile user, it makes sense to use mobile IP addresses from telecom operators — Google sees such requests as regular traffic from a 4G/5G network, which reduces the likelihood of blocks and CAPTCHAs. For the desktop segment, residential proxies are suitable — they look like regular home connections and do not raise suspicions with the search engine's protective systems.
Comparison of proxy types for SEO monitoring
The choice of proxy type directly affects the accuracy of position data. Here’s how different options behave when checking Google results.
| Proxy Type | Suitable for | Risk of CAPTCHA/Ban | Geotargeting Accuracy |
|---|---|---|---|
| Mobile Proxies | Monitoring mobile results, local search | Low | High (at the operator region level) |
| Residential Proxies | Monitoring desktop results, mass checks by cities | Low | High (down to the city level) |
| Datacenter Proxies | Fast mass checks without strict geotargeting | Medium-High | Medium (at the country/region level of the data center) |
For one-time quick checks in several regions without strict accuracy requirements, datacenter IPs save time and resources. However, as soon as it comes to regular monitoring for a client with a local business, residential and mobile addresses provide noticeably more stable and realistic data, as this is how the traffic of real users appears to Google.
Checklist for correct position monitoring
Before sending a position report to the client, go through this list — it covers most typical sources of data distortion.
- The check is divided into mobile and desktop segments in the rank tracker settings.
- For each client region, a proxy tied to the city is used, not just to the country.
- Mobile queries go through mobile IPs, desktop queries through residential or datacenter IPs, depending on the task.
- IP rotation is enabled, and requests are not concentrated on one address more than a few times in a row.
- The check is performed without authorization in Google and with cleared cookies to exclude personalization.
- Local SERP features are taken into account — maps, local packs, shopping blocks — which can change the perception of the position.
- The frequency of checks does not exceed a reasonable limit for the specific type of proxy to avoid CAPTCHAs.
Common mistakes when checking positions
Checking only from desktop. The most common mistake — especially among specialists who are used to working with a large monitor and do not realize that 65-70% of search traffic in most niches comes from mobile devices.
Ignoring geolocation. Checking regional queries with an IP from another city gives numbers that look good in the report but do not correspond to what the real audience of the business sees.
Too frequent requests from one address. This leads to CAPTCHAs, temporary blocks, and consequently, gaps in monitoring data — the position graph starts to look like the site is jumping in and out of the top, while in reality, it just failed to get a correct response from Google.
Comparing incomparable data. The client is shown desktop positions, while they open the site on their phone and do not see the same result — trust in the reports decreases, although the methodological error on the specialist's side was initially insufficient to prevent this.
Conclusion
The discrepancy between mobile and desktop Google results is not a cause for panic, but a feature of modern search that must be taken into account in monitoring methodology. To ensure that position reports reflect the real picture, it is important to separate checks by device type, tie queries to the required region, and use IP addresses that correspond to the nature of the traffic — mobile or desktop.
If you regularly monitor positions for local businesses or several clients simultaneously, pay attention to mobile proxies to simulate mobile traffic and residential proxies for desktop results — this combination provides the most accurate picture of what users actually see in Google search in their region and on their device.