Do You Need a Rank Tracker? I Read 200+ SEO Threads To See.

That's not a hot take from someone who doesn't do SEO. It's from a practitioner who uses Semrush, Ahrefs, and Clarity in their work, on a regular basis. Their primary use for those tools is content gaps, competitive analysis, and visibility trends.

But it’s not for checking where they rank for specific keywords.

This kind of opinion used to be rare online, but I’m seeing it come up more often. And given that most SEO software will set you back somewhere between $100 and $400 per month, it’s worth wrestling with the question: “do I even need this in the first place?”

Don’t get me wrong. Seeing where your keywords rank has appeal, and even value in a lot of cases. You publish a page, optimize it, and build some links. That takes a lot of time, so you naturally want to see whether it's working.

Rankings feel like the most direct answer. You were #14, now you're #6. That’s progress, right?

In some ways, yes. But the more time I've spent doing this work, the more I've noticed that the number on the dashboard often tells you less than it seems to. It’s just way too thin of a basis for a report you send to a client.

I analyzed over 200 practitioner accounts from Reddit's SEO communities to understand how working SEOs feel about rank tracking. I filtered out the self-promotion from the tool vendors and affiliate reviewers. I wanted to read what was said by working professionals describing real workflows and real frustrations. Here's what I found.

First, though, we need to understand what these tools are doing under the hood when they report a "position."

Most rank trackers are search engine result page (SERP) scrapers. They send a query to Google from a specific IP address and location, parse the web page’s HTML code, and record what they find. The "position" they report is what their bot saw from one location at one moment. It is decidedly not what your prospective customer will see on any given day.

This distinction matters more than most people realize. Say you're a plumber in Nashville. Your customer in East Nashville and your customer in Brentwood may, probably will, see completely different results for the same query. Your rank tracker's bot, pinging from a data center somewhere, sees a third version.

In some sense, the number the bot reports is real. It's an honest statement of what the bot found. But it's one sample from a distribution, not a definitive answer.

So you may say: “I’ll use Google Search Console instead of SEMRush or Ahrefs since it’s free.”

But you’ll run into another version of the same problem even so. Their Search Console documentation says it plainly: "Position value is the average position for all searches. For your specific search your position might be different than the average because of many variables, such as your search history, location, and so on." (Source)

Even Google is giving you their best guess. A picture of a picture, a copy of a copy.

Now to be fair to Google, I trust an average over individual data points. But when I open up Google Search Console, I have to tell myself, because it’s very easy to forget: “every individual who looks up these queries sees something different, and there’s no telling what my clients’ prospects are really seeing in their Google results, let alone AI responses.”

Right off the bat, you can see that it’s really hard to measure where you rank on keywords. But there’s another wrinkle I want to focus on a little closer.

AI overviews, the local pack, featured snippets, video carousels, and People Also Ask are stacked above traditional organic results. It’s not 2010 where spot #1 on Google means “top of the page, right below the paid stuff.”

So what does "position 1" even mean? Turns out, my fellow SEO experts are also perplexed:

Then, of course, different tools handle SERP features differently. Most don't tell you how. Ahrefs, for example, counts image pack results as position #1 with no way to filter them out:

Suppose you find a way to be able to pin down the meaning of position 1 across tools, though. For data to be considered reliable, you need to know how it’s being collected. That’s weirder than you think too.

The data collection process is more fragile than you might think. In September 2025, Google broke most rank trackers overnight by limiting search results to 10 per page instead of 100. Trackers had been pulling &num=100 to grab the top 100 results in a single request. When that stopped working, tools showed rankings as dropped when nothing had changed:

A follow-up comment explained the ripple effect:

The keyword volume data is equally shaky. Practical Ecommerce compared Ahrefs, Semrush, and Google Ads and found they all report different search volumes for the same keywords, extrapolating from different combinations of clickstream panels and Google Keyword Planner ranges.

It is impossible for them all to be simultaneously correct and we also don’t have reason to believe one is more right than the other. As ALM Corp's keyword volume guide puts it, they are all approximations based on different methodologies.

So is this worthless? Absolutely not. This is a classic example of “all models are wrong, some models are useful.”

The trick is not forgetting that you’re using models. So if you see a number says "1,300 monthly searches," your best bet is to treat it as an estimate with an unknown confidence interval.

Of course, that’s all well and good to say for free tools. But when it’s time to pull out your credit card, it’s smart to ask: “what’s this approximate, location-dependent, sorta-fragile data worth to me, in dollars?”

Rank tracking isn't useless. But its value is narrower than the sales copy on the tools’ websites suggest it is.

Agencies need to show clients that SEO work is producing results. Traffic and leads are the real metrics, but ranking movement is a leading indicator. It shows progress before traffic arrives. The catch is the labor cost of turning tracking data into client-readable reporting:

Rank tracking for this agency is worth it because it eliminates manual labor with a good-enough result. In fact, I work based on the same logic. Because I can tell you from firsthand experience it is not fun to export who-knows-how-many CSVs and build reports by hand.

But even saying that, this same practitioner discovered that Ahrefs' rank tracker only exports CSV with no scheduling or white-labeling. Even premium tools don't always solve the reporting problem.

For service businesses, local rank tracking is a different problem than national tracking. The SERP is different at every GPS coordinate, and GSC doesn't break down performance by neighborhood. One practitioner laid out the math:

This is the strongest case for a dedicated rank tracker: when you need granular geographic data that GSC can't provide. Tools like LocalFalcon (geo-grid visualization) and Nightwatch (hyper-local tracking) serve a need that the big suites genuinely don't.

If you've identified 20-50 strategically important keywords and you want to track your position relative to specific competitors over time, a tracker provides structure that manual GSC checking doesn't.

The key word is defined. Tracking 5,000 keywords because you can is not the same as tracking 30 because they matter.

I find this particularly useful for companies where the SEO strategy is new. Setting up something like SEMRush Position Tracking makes it easy to tell if you are broadly going in the right direction on a month-over-month basis, and it has the benefit of being fairly easy to explain to clients.

For many practitioners, rank tracking consumes time, money, and attention without producing better decisions. Solo operators, small business owners, and even some agencies fall into this trap.

Ultimately, SEO needs to be tied to revenue. Tracking indicators like impressions and keyword rankings is useful, but only insofar as it helps you make sure you’re making the business visible enough to generate revenue.

Here are a few situations where practitioners describe rank trackers as being time-consuming and not particularly helpful.

Multiple practitioners describe the compulsion to check rankings daily as counterproductive:

An experienced agency SEO explained why he refuses to produce monthly ranking reports:

SERP position is noisy data, and even if you know this fact, it can really mess with your head. Day-to-day reports are bad about this and even month-to-month can mislead. Hence the big tension here when it comes to rank tracking: if the signal fluctuates by 3-5 positions on a given day, then a monthly report captures one frame from a video. You might catch a peak, a trough, or the middle. You won't know which.

One practitioner went further, and I think they're right:

When rank tracking is your primary use of an expensive suite, the math often doesn't work:

Some practitioners are building their own alternatives rather than paying SaaS prices:

Even with tools like Claude Code making software development easier than it’s ever been, it’s still a pain to build your own tools, let alone maintain them. When technical practitioners start talking about building their own for use in a business environment, and not just as a cool side hobby, that tells you something.

Rank tracking is just one problem in measuring SEO. The industry, on a bigger scale, has come up with a lot of metrics. Those metrics look precise. But you don’t know how they’re gathered, so you can’t tell how seriously to take them. Rank tracking is just one of the easier examples of this problem.

I've written before about which SEO metrics matter, and the framework I keep coming back to is simple. Start with the metric closest to revenue, then work backward. Rankings are several steps removed from revenue. They can be a useful leading indicator, but they become dangerous when treated as the goal itself.

The SEO tool industry has a structural incentive to blur this distinction. More numbers on the dashboard, more numbers on the invoice.

This is not a conspiracy, mind you. Nobody’s out to get anyone here. It’s just SaaS economics and practitioners need to be aware of it and resist the default.

Take toxic backlink scores. Google's John Mueller has called disavowing links based on third-party toxicity scores a "billable waste of time." He's said explicitly that agencies selling disavow services are "making stuff up and cashing in from those who don't know better." Bing removed its disavow tool entirely in 2023. Google has hinted it may do the same. Yet Semrush still prominently features toxic backlink scores in its dashboard. (Source: Search Engine Roundtable, December 2024; Search Engine Journal, February 2023)

One practitioner captured this frustration while cutting their Semrush subscription after eight years:

Keyword volume estimates tell the same story. Every major SEO tool reports different search volumes for the same keyword because they use different combinations of clickstream data and Google Keyword Planner ranges. Google doesn't provide API access to its search volume data, so every tool is building its own estimates from incomplete information. Yet entire content strategies are built on these numbers as though they're ground truth. (Source: Practical Ecommerce, November 2024)

I am not telling you this because I think these tools are scams. I use Google Search Console, SEMRush, Local Falcon, and a handful of other SEO tools every single day. They’re incredibly helpful tools when you know what to do with them.

But the data, at best, should merely be seen as right-ish. The SEO industry has normalized treating proprietary estimates as authoritative data, and most practitioners don't interrogate the methodology behind the numbers they're paying for.

If you’re a marketer, then your client doesn’t, and shouldn’t, care about domain authority, keyword difficulty, site health, toxic backlinks, impressions, or keyword rankings. They care about revenue, profit, and return on investment.

Rank tracking is the most visible example, but the pattern extends to domain authority, keyword difficulty, "site health" scores, and every other proprietary metric in the toolbox.

I’m a huge fan of collecting first-party data. Because let me tell you, if Spirit Airlines can disappear in an instant, so too can SEMRush. So make sure you have multiple sources of data and you back it up regularly so you’re not dependent on any particular vendor.

A horror story in miniature: in mid-2025, Similarweb acquired Rank Ranger and began deleting years of client ranking data. They offered agencies one year of retention at $6,000/year:

This is one person's account. But the risk it describes is structural: years of historical trend data evaporating because a vendor got acquired. If your agency uses ranking trends to demonstrate year-over-year progress to clients, your data is only as durable as your vendor relationship.

Worth thinking about before you commit to a platform, not after.

It’s no secret that people these days use AI to make buying decisions. They will sometimes ask very simple questions and sometimes have very in-depth conversations before getting where they need to go. So what’s the SEO practitioner to do when trying to optimize for the AIs?

There is an emerging category of "AI visibility tracking" (tools like Otterly, Profound, and Peec AI). All face the same measurement problems as traditional rank tracking, but worse.

With traditional search, at least the mechanics are well-understood. Google indexes pages, ranks them by an algorithm, serves results. The algorithm changes, but the basic model has been consistent for two decades.

AI-generated answers don't work this way. The output varies by model, by prompt phrasing, by whether the model is using real-time search or training data, and increasingly by personalization and conversation history.

Another flagged the fundamental problem with AI "rank tracking":

If traditional rank tracking is already approximate and noisy, AI visibility tracking is an order of magnitude less reliable. It may become useful as the category matures, but right now, paying for it is paying for a guess about a guess.

Watch your analytics for AI referral traffic instead. That signal matters, and it's free. If I find a better answer to this problem-in-the-making, I’ll change my beliefs based on the evidence and send a fresh article to your inbox.

Instead of starting with "which rank tracker should I buy," start with "what decisions does rank data help me make?" For most businesses, the answer is narrower than the tool vendors suggest.

Google Search Console is a great baseline. Free, Google's own data, and despite being an average with its own methodological issues, the closest thing to ground truth you're going to get. Check it weekly or biweekly. Daily checking won’t give you better information, though it may give you an ulcer.

Track a defined, small keyword set. Here, I’m talking about 20-50 strategically important keywords, not 5,000. Use any tool you want for this. Even a $19/month dedicated tracker is fine. The goal is to watch directional movement on terms that connect to revenue, not to generate a wall of data that looks impressive in a dashboard but doesn't change what you do.

Measure what matters downstream. Qualified leads, revenue, and profit. You want results that a CPA will care about. To that end, ranking position is a leading indicator at best and a vanity metric at worst. If rankings go up but leads don't, the rankings don't matter. If leads go up but rankings don't, the rankings still don't matter.

I've seen both scenarios play out with real clients, and the second one is more common than most SEOs would expect. (I recently even had a client's organic inbound drop 50% this year, while their qualified lead volume went up by about 20%.)

For local businesses: geo-grid tracking (LocalFalcon or equivalent) is useful and worth paying for. National rank trackers are largely not. I've written before about what local SEO heatmaps can and can't tell you, and the same principles apply here. The value is in seeing geographic variation that GSC hides, not in checking a single national position.

For agencies: invest in reporting automation, not tracking granularity. The cost of rank tracking isn't the subscription. It's the hours spent turning data into client-facing deliverables. If your rank tracker doesn't automate that handoff, it's costing you far more than the monthly fee.

The best rank tracking setup is the one that helps you make better decisions about revenue, profit, and ROI. Beyond that, the tools risk taking up the time and energy you could spend on work that moves rankings. For many businesses, that setup is simpler and cheaper than what you're currently paying for.

My company helps B2B service businesses generate qualified leads through data-driven SEO. We do the work and we build the tracking to show you what's producing results.

If you're interested, book 30 minutes of my time and we can talk about whether it makes sense for your business.