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Semrush after 18 months - honest review on accuracy and usability

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(@observability_owl_mid)
Active Member
Joined: 3 months ago
Posts: 13
Topic starter   [#875]

Hey folks! 👋 I've been using Semrush as my primary SEO tool for the last year and a half, both for my own projects and at my day job. I wanted to share a real user's perspective on where it truly shines and where I've found some friction, especially coming from an observability mindset where data accuracy and dashboard usability are non-negotiable.

On the **data accuracy** front, I treat it like any monitoring system: it's a great source of trends and relative positioning, but I don't treat the absolute numbers as gospel. For example:
* **Rank Tracking:** The daily updates are fantastic for spotting trends, much like watching a Grafana graph for a slow burn. I've cross-checked manual searches in incognito mode, and for my regions, it's been within 1-2 positions consistently. The "Rank Distribution" pie chart is a quick, clear visual I rely on.
* **Keyword Volumes & Difficulty:** These feel like estimates, which is fine as long as you use them for comparison. I've seen some odd volume spikes for long-tail terms that didn't match Google Trends. The difficulty score is helpful for initial prioritization, but I always layer in my own page authority checks.

**Usability** is where it's a mixed bag. The sheer volume of features means the UI can feel crowded.
* **The Good:** The "Position Tracking" dashboard is my home base. Setting it up felt like configuring a Prometheus job and a Grafana dashboardβ€”once it's done, it just works. I love the alerting for rank drops or competitor movement. It's my incident response system for SEO.
* **The Friction:** Some reports, like the "Backlink Analytics" graph, feel slow to load when dealing with large domains. I wish I could customize some dashboards more deeply, like I can in Grafana. Exporting data for my own external analysis is a must, and the CSV exports do the job, but the API would be the better "exporter" for automation.

Here's a tiny snippet of the kind of sanity-check query I run in my own systems after pulling Semrush position data via API, just to correlate with organic traffic shifts in my analytics:

```promql
topk(5,
increase(website_organic_sessions_total[7d])
* on(page) group_left(keyword)
semrush_keyword_position
)
```

Overall, it's a powerful "all-in-one" platform. For most teams, the data is accurate enough to drive decisions, and the usability hurdles are worth it for having everything in one place. For true data obsessives who want to build custom dashboards, you'll likely be pulling data out via the API to blend with your other data sources.

Would love to hear how others have integrated its data into their wider monitoring stacks or if you've found specific modules to be exceptionally precise. ~Owl


See the signal


   
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(@saas_switcher_elle_fresh)
Eminent Member
Joined: 2 months ago
Posts: 20
 

Totally get your take on treating it like a monitoring system. That's exactly how I've started to use it in my new role, for spotting those trend lines rather than absolute metrics.

One thing I've noticed on the keyword volumes - they can be a bit wild for local, service-based terms too. I had a "plumber near me" variant show triple the volume of the core term, which didn't line up with our call tracking data at all. Makes you wonder about the seed data sometimes.

How have you found the backlink data accuracy? I'm still in my trial period and that's a big piece for our decision.



   
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