r/seogaps

I kept losing my DataForSEO results in JSON, so I built a dashboard that keeps them (free with your own key)

Free with your own API key, Early Adopter spots open

https://preview.redd.it/k1nc0g3z53uh1.png?width=1706&format=png&auto=webp&s=9026e29145f8bc22a5f2593b760c446f66a4bffa

I've been a frontend developer for 6 years, mostly building dashboards and admin panels, and I run a few content sites on the side.

I've paid for SEO tools ranging from $50–$130/month and kept seeing the same problem: lots of data, little "what should I do next", and paying for features I never use.

DataForSEO solved the data problem. It's cheap and used by many SEO tools, but the results come back as JSON/MCP output. Once you close the tab, they're gone, and you pay again to get them.

So I built WiseSERP: a dashboard on top of DataForSEO + Search Console that makes the data useful and saves every result.

What's in it:

  • Keyword research: volume, KD, CPC, intent, trends
  • SERP analysis: top 10 + authority + a verdict on whether page 1 is realistic
  • Backlink overview for any domain
  • Search Console: rank movers, quick wins (positions 4–20), lost clicks
  • Domain analysis (beta)
  • Every result is saved, so reopening a search costs nothing

Pricing: On Lite, connect your own DataForSEO key and use every module. DataForSEO charges you directly, and I add nothing.

A new DataForSEO account includes $1 credit - roughly 11 keyword searches or 38 SERP analyses.

Don't want to set up DataForSEO? You can top up from $10 at DataForSEO's price + 30%. That margin covers the servers.

I'm not trying to build another $99/month SEO subscription. I want a tool I'd actually use myself, priced so the people who need it can afford it.

What's next: rank tracker, site audit, content writer, and an AI assistant that turns your data into next steps. The roadmap follows votes on the feedback board.

The first 100 users get an Early Adopter badge, beta access, and 10% off their first top-up. 97 spots remain.

I'd love your feedback:

  1. Run it on a site you know well. Does the SERP verdict match your gut?
  2. What's missing, broken, or the next SEO workflow you'd want?

If you're interested, DM me or comment below.

reddit.com
u/webdev_solomon — 7 days ago

The main principle of building brand mentions on third-party SaaS sites

Writing your own listicles has a big trap, because you have to add some of your competitors to make it relevant.

Every time you create such a page, you create value for other sites too, and it may feel like an activity with zero value.

To avoid this, I recommend following 3 rules:

1/ Consider each listicle you publish as a potential to get brand mentions from 5-10 sites you mentioned

2/ Define 1-2 of the closest competitors you won’t mention in your own listicles;

3/ Consider all other brands (including indirect competitors) as partners for brand mention exchanges and build long term partnerships with them.

It helps to avoid sending too much weight to brands you compete with and get much more value for your own brand.

reddit.com
u/Ivan_Palii — 8 days ago

Is this the end of Google SERP tracking tools?

The one and only reason Google goes all-in blocking scraping

No matter what you are using for Google SERP tracking, I bet your tool probably isn't working well either. Yesterday we talked about it with u/DmitryOk.

We were discussing what’s happening and where things are headed.

https://preview.redd.it/roscwyajt1th1.png?width=3024&format=png&auto=webp&s=4532ea8bee6eb2052a75bd5bccd8781f0a873bd1

I remained neutral, confident that data providers would find a way to fix this, just as they had hundreds of times before when Google created new obstacles to SERP scraping.

But Dmytro took a fatalistic view. He said it looked like the end of SERP tracking, because the stakes are much higher for Google now!

Before the rise of AI chatbots, Google didn't worry much about rank trackers, as they posed no real threat. Now, however, the primary threat to Google is AI chatbots scraping search results, and the company will do whatever it takes to protect its "data moat."

The main risk for Google lies specifically in the data AI chatbots use to generate answers directly within the chat interface. Yes, AI models are trained on massive datasets and can provide many answers without performing a search. However, the real world is constantly changing.

If you strip AI chatbots of the ability to access the search engine's index, the quality of their answers will inevitably deteriorate.

Google's goal, therefore, is to leverage its index so that the disparity in answer quality (between AI Oveviews, Gemini, AI mode from one side and Claude, ChatGPT on other side) becomes obvious, clearly favoring Google's own products.

What Google will do next?

The fact, that a court dismisses Google’s DMCA claims against SerpAPI doesn't matter. Google attempted to defend itself legally as an immediate measure. However, this loss does not prevent them from creating additional requirements for viewing SERPs.

They already added a lot of restrictions. Each new restriction makes the scraping more expensive, but still possible.

At least, Google doesn't hide answers to a question how do they block SERP tracking :)

Dmytro also shared an interesting thought with me:

>SERP scraping originates from logged-out Google accounts. However, in reality, the majority of users are logged into Google when search something. Consequently, Google deals with a relatively small pool of IP addresses, making it easy for them to detect suspicious behavior.

Even logged-out users rarely view all of the top 100 search results or enter 1,000 search queries a day.

So, the biggest leverage Google has in the fighting with scraping tools is a requirement of login. Google can play with simple restrictions now, but at the end they can decide to limit any logged out session to only top 10 snippets and only 10 search queries per day.

It will make SERP tracking so expensive for providers and as a result for end users, that it will definitely will change the behaviour of entire SEO industry.

How SERP tracking tools can adapt to a new reality?

Here is what we plan to change at r/Sitechecker and what I propose to do for any rank tracker.

1/ Accept the new reality and don't expect it to ever be fixed

The new reality is that the cost of SERP tracking will be 2x-10x more expensive that it was. This means users have to decide what is more important to them:

  • scraping the top 100 for the same set of keywords but much less frequently
  • or scraping only the top 10–20 but doing so every day.

The best tools will allows users to choose between these 2 options.

2/ Use the potential of Google Search Console data to the full

Yes, Google Search Console doesn't replace traditional Rank Tracker because:

  • you don't have SERP data
  • you don't have position data for today
  • you won't see top 50-100 positions for many keywords
  • you won't get position data on some days for many keywords, because of low search volume
  • you can't track position in local search

However, average position data by keyword is still very valuable because you can catch the bigger picture of what's going on with rankings of YOUR website, tracking it daily by 1k keywords per project easily!

An example of what you'll see in GSC Rank Tracker

I wrote about this idea in February 2026, but we didn't implemented it yet, because of working on AI search visibility tracking. Not it's definitely time for this feature.

So, I think that the best rank tracker should use GSC data for daily keyword ranking tracking and allow to scrape SERPs only once per week or on request.

My assumption is that this is the best possible way to adapt, I don't see another way. However, I may miss something. Please, share your thoughts.

reddit.com
u/Ivan_Palii — 13 days ago