There’s a funny thing about search engines: we tend to assume everybody sees the same thing we do.
You type a keyword, hit enter, glance at the results and think, “Okay, that’s what Google looks like.”
Except… not really.
A person searching from another city might see different businesses. Someone using a different device could get a different layout. And increasingly, AI features are changing how people interact with search altogether.
Google said in May 2026 that AI Mode had passed one billion monthly active users globally, while searches through AI Mode had more than doubled each quarter since launch.
That creates an interesting problem for anyone who cares about SEO: how do you measure visibility when there isn’t necessarily one universal version of the search results?
That’s where a SERP scraper can come in handy. GoProxies tech experts also have material that goes deeper into the subject, particularly if you’re interested in how large-scale search data collection works.
What Happens When Everyone Searches Differently?
Picture a company selling outdoor furniture.
Its marketing manager searches “garden furniture” from the office in London and sees the company on the first page.
Fantastic.
Then the sales manager checks from Bristol.
The result is different.
Then someone searches from a mobile phone.
Different again.
Nobody has necessarily done anything wrong. Search engines simply have more context to work with than they did years ago.
Location, language, device and search intent can all influence what appears.
This is why a single ranking report can sometimes give businesses a strangely comforting picture.
The average looks fine.
The details might not.
Could Your “Bad Ranking” Actually Be a Good Sign?
Here’s a question that doesn’t get asked often enough.
What if ranking lower for a broad keyword isn’t actually your biggest problem?
Suppose a business ranks eighth for a huge national term but dominates several highly relevant local searches.
Which situation would you rather have?
The answer is pretty obvious if those local searches bring customers through the door.
This is one reason search data becomes much more useful when it’s connected to geography and intent.
GoProxies says its SERP service supports country, region and city-level targeting, allowing search results to be collected from specific locations rather than relying on a generic search environment.
For local SEO teams, that’s a big difference.
You can stop asking, “Where do we rank?”
And start asking, “Where do we rank well?”
Much better question.
The Competitor You Never Thought About
Here’s another fun one.
Who is actually competing with you in search?
It might not be the company you consider your biggest business rival.
Search results have a funny way of introducing new characters.
A small specialist website might dominate one valuable phrase. A marketplace could own another. A local company might suddenly appear everywhere in a particular city.
If you’re only watching the same three competitors every month, you can easily miss these shifts.
Collecting SERP data over time makes those patterns easier to spot.
Maybe a competitor appears for 5% of your tracked keywords in January and 18% by July.
That’s worth investigating.
What changed?
Did they publish new content? Improve their pages? Build stronger local visibility?
The data doesn’t provide the whole answer, but it tells you where to start looking.
Why Search Features Matter More Than Ever
Remember when search results were basically ten blue links?
Those days feel a bit nostalgic now.
Modern results can include advertisements, maps, images, shopping listings, featured snippets, People Also Ask boxes and AI-generated experiences.
Google’s latest Search developments are pushing this even further. In July 2026, Google announced that users could connect services such as Instacart, Canva and YouTube Music directly inside AI Mode.
That’s a pretty big change in how people interact with search.
You’re not simply finding a webpage anymore.
You’re potentially researching, comparing, planning and taking action without leaving the search experience.
For SEO professionals, that means visibility needs a wider definition.
Where Does a SERP Scraping API Fit?
If you’re checking ten keywords once a week, manual searches are perfectly reasonable.
If you’re monitoring thousands of keywords across dozens of locations, that’s another story.
A SERP scraping api can automate the process of collecting search results and returning the information in a format software can work with.
GoProxies says its SERP API can collect results from Google, Bing and Yahoo, including organic listings, paid results, snippets, People Also Ask sections and local packs. It also offers geographic targeting down to the city level.
The advantage isn’t that automation is somehow magical.
It’s simply faster and more consistent than asking a person to perform thousands of searches.
And let’s be honest, nobody wants that job.
Not even the intern who said they “love repetitive tasks.”
Why Different IPs Can Make a Difference
There’s also the infrastructure behind large-scale search monitoring.
If you’re collecting localized search results, you need a way to make requests from appropriate locations.
GoProxies currently advertises more than 80 million IPs across 200+ locations, with targeting options including country, state, city, ISP and ASN.
That kind of geographic coverage can help when the goal is to understand what searchers in different markets are likely to encounter.
Think about a travel company.
Its customers might search from Paris, Toronto, Madrid and Sydney.
Looking at only one location would tell you very little about the whole picture.
What About AI Search Results?
This is probably the biggest new question for SEO teams.
Traditional rank tracking asks, “Where is my page?”
AI search introduces another:
“Is my brand even part of the answer?”
That’s a different measurement problem.
Google says AI Mode is designed for more conversational searches, allowing people to ask longer and more complicated questions and continue with follow-ups.
So businesses may increasingly need to understand not just where their pages rank, but how their content and brand appear throughout different search experiences.
It’s still early days, and nobody has a crystal ball tucked under their desk.
But ignoring the change probably isn’t a great strategy either.
Don’t Turn Data Collection Into a Hobby
One final warning.
It’s incredibly easy to collect too much data.
You start with 100 keywords.
Then it’s 1,000.
Then 10,000.
Then you’re tracking competitors, cities, devices, ads, snippets and every variation of “best coffee near me” known to humanity.
Stop.
Start with questions instead.
Which markets are losing visibility?
Where are competitors gaining ground?
Which search features appear for valuable keywords?
Does visibility change significantly between cities?
Are important commercial searches becoming more influenced by AI features?
Those questions give your data a purpose.
Otherwise, you just end up with a very impressive spreadsheet and no idea what to do with it.
Maybe Rankings Aren’t the Real Story
Search visibility in 2026 is becoming less about one position and more about the entire environment surrounding a query.
A business can rank well nationally but disappear locally.
It can rank number one organically while an advertisement, map result or AI answer takes the user’s attention first.
It can look strong on desktop and tell a completely different story on mobile.
That’s why a SERP scraper can be useful when used thoughtfully.
Not because collecting search results is particularly exciting. It isn’t. I once spent an afternoon comparing rankings by city and got way too excited about a spreadsheet. It happens.
The real value is what the information reveals.
So next time someone proudly says, “We’re number three on Google,” ask one small follow-up:
“Where?”
You might discover that the more interesting SEO story is happening somewhere else entirely.