r/SEO_tools_reviews

My go-to SEO tools are SEMrush, Chatgpt, Claude ( these are paid ) and Ahrefs ( best free tool for auditing ). Whats your go-to seo tool ??

I built a small app to make SEO work easier for beginner bloggers, and I would really like some feedback from SEO people here.

This app takes your article and generates all the SEO details and creates a finalised draft in posts section in wordpress. After that, internal/outbound linking, and adding images are the only steps left before publishing.

I run my own tech website, and I found myself spending a lot of time doing the same SEO work for every article. Things like choosing a focus keyphrase, writing the SEO title, making the meta description, creating the slug, choosing a category, and adding tags.

So I built my own tool called DraftPal. (inspired from the horrible bosses 2)

The idea is simple. I write the article myself in Word, then the app reads the article and analyzes it. It uses a local AI model to suggest the SEO details. It does not write the article for me.

You can approve the analysis and it will automatically create a draft for you in your posts section in wordpress.

Right now it can:

• Read my Word documents
• Detect headings, paragraphs, lists, links and tables
• Detect a focus keyphrase if I provide one
• Suggest a focus keyphrase if I do not provide one
• Create an SEO title
• Create a meta description
• Create a clean slug
• Suggest a category from the ones available in wordpress.
• Suggest relevant tags
• Check the SEO results for basic issues
• Prepare the article for my WordPress site

The biggest benefit for me is time. Instead of manually doing the same SEO work for every article, I can let the app handle the first version and then review it myself.

I am still improving it, so I would really like opinions from people who know SEO, especially people who work with smaller websites or beginner bloggers.

What would you add to this?

Are there any SEO checks that you think a beginner blogger should always do before publishing?

Would you trust an AI tool for SEO suggestions if the writer still reviews and approves everything?

And are there any parts of my current process that you think I should change?

I am mainly looking for honest feedback from SEO people before I take the project further.

I keep seeing more tools that promise to automate a big part of SEO: keyword research, content briefs, article generation, internal linking, publishing, etc.

Curious to hear from people who have actually paid for and used them. Like babylovegrowth, sorank, autoseo, blogseo stuff like that

Which tools have you tried?

What did they genuinely do well?

What felt disappointing or overhyped?

Did the content actually rank, or did it mostly save time?

And was there anything you expected the tool to handle that it just didn't?

Especially interested in experiences with tools like BlogSEO and similar platforms, but open to anything.

Would love actual user experiences rather than affiliate/review-site recommendations.

Been building an AI agent for SEO and AEO for the last few months. It crawls and indexes your site, and pulls in Search Console, Google Trends and competitor data.

What it does right now:

- Keyword research, but it checks what you already rank for first, so it doesn't tell you to write a post that competes with your own page

- Query coverage: the questions people ask Google and ChatGPT, and whether you have a page that answers them

- Competitor gap analysis

- Technical audit (page structure, broken and orphaned links, speed, headers)

- Link prospecting

- Finds relevant communities and threads to post in, drafts the posts and comments, schedules them

- Reporting on traffic, events, conversions

- Applies the changes instead of just listing them: commits code to GitHub directly, or writes the content straight into your CMS like Sanity

I have working POCs for some of this.

What I want to know:

1. If you do SEO for a living, would you use this? Or does it just duplicate what you already pay for?
2. What am I missing? Anything you'd add or cut?
3. Indie hackers and bootstrappers doing SEO for your own product: what are you using today, and would you switch to something like this?

It's not deployed yet, so there's no link and nothing to sign up for. But if you're curious whether it actually works, drop your website below. I'll run the agent on it over the next couple of weeks and DM you the report with everything it finds.

Hi everyone,

We recently migrated our website from .NET to Next.js, and we're facing a strange problem. some valid pages randomly show 404 when many pages are opened at the same time. If I refresh the 404 page once or twice, it works.

I checked GA data and found that users from Google, Bing, duck duck go and other search engines, as well as AI platforms, have also landed on 404 pages.but the URLs themselves are correct and work when I open them manually. Developer hasn't been able to find the reason yet.

What could cause this, and what should we check first?

Would appreciate any ideas from people who have worked with large Next.js websites.

For a long time, our SEO team and SMM team worked in completely different worlds. SEO would find keyword gaps and build briefs for on-page content. SMM would sit down every month and try to brainstorm engaging ideas from scratch.

But topical authority and AI-answer citations don't just happen on-page anymore.

Search engines and LLMs reward brands that show up consistently across the entire web. When your search data and your social distribution pull in the exact same direction, you get a compounding effect. Plus, driving social traffic to new URLs gets them discovered and crawled faster, putting your pages right in front of the people who actually end up linking to them.

We recently automated this bridge using MCP with SE Ranking and Planable connected directly to our AI assistant:

Instead of running a gap analysis, exporting it to a CSV, and handing a vague brief to a copywriter, we do the research and the social draft creation in one single motion.

We connect both the SE Ranking MCP and the Planable MCP to our AI assistant, and give it a prompt in plain language.

Example:

>Competitor X is starting to outrank us on our core topic cluster in US search. Pull the keyword gaps and People-Also-Ask questions around this cluster from SE Ranking, and turn them into a week of educational LinkedIn and X posts drafted directly in our Planable workspace.

Why this matters?

For SEOs

Your competitive gap research finally has an immediate distribution output.

For SMMs

No more staring at a blank page or guessing what the audience cares about. You're creating content based on what people are actively searching for right now.

For AI & Brand Visibility

Search and social aren't two separate jobs. They're how LLM visibility actually gets built. Keeping your search intent and social copy aligned makes your brand's expertise clear to both real users and AI crawlers.

One competitor-gap pull becomes a full month of targeted, cross-channel posts.

AI has made it much easier to automate parts of SEO, but I'm curious where people are drawing the line.

Things that seem relatively easy to automate:

• Technical SEO checks
• Finding broken links and indexing issues
• Keyword grouping
• Meta tag suggestions
• Internal link suggestions
• Content refresh recommendations
• SEO reporting
• Schema checks
• Finding content gaps
• Identifying questions people ask about a topic
• Analyzing content for AI-search visibility

But I still think humans need to be involved when it comes to search intent, accuracy, content quality, and deciding what changes actually make sense.

I'm especially interested in AI search / AEO. Has anyone found a reliable way to measure whether their content is actually being surfaced in AI-generated answers?

What are you automating today, and what do you still prefer to do manually?

I’m curious what SEO tools people actually use every day not the huge list of tools you see in every SEO article.

For me, the essentials are usually Google Search Console, Google Analytics, Ahrefs, Screaming Frog, and PageSpeed Insights. But I’d love to know what tools you rely on most for keyword research, technical SEO, backlinks, content optimization, or tracking rankings.

What SEO tools do you actually use every day, and which one saves you the most time?

Been building an AI agent for SEO and AEO for the last few months. It crawls and indexes your site, and pulls in Search Console, Google Trends and competitor data.

What it does right now:

- Keyword research, but it checks what you already rank for first, so it doesn't tell you to write a post that competes with your own page

- Query coverage: the questions people ask Google and ChatGPT, and whether you have a page that answers them

- Competitor gap analysis

- Technical audit (page structure, broken and orphaned links, speed, headers)

- Link prospecting

- Finds relevant communities and threads to post in, drafts the posts and comments, schedules them

- Reporting on traffic, events, conversions

- Applies the changes instead of just listing them: commits code to GitHub directly, or writes the content straight into your CMS like Sanity

I have working POCs for some of this.

What I want to know:

1. If you do SEO for a living, would you use this? Or does it just duplicate what you already pay for?
2. What am I missing? Anything you'd add or cut?
3. Indie hackers and bootstrappers doing SEO for your own product: what are you using today, and would you switch to something like this?

It's not deployed yet, so there's no link and nothing to sign up for. But if you're curious whether it actually works, drop your website below. I'll run the agent on it over the next couple of weeks and DM you the report with everything it finds.

I've started questioning the phrase “make it sound natural” because I'm not sure it's specific enough to be useful.

Natural writing can mean completely different things depending on the person. A professor, a teenager, a journalist, a business owner, and a casual Reddit user are all going to have very different ideas of what natural writing sounds like.

Even within the same type of writing, people have completely different voices. Some people are direct, some are detailed, some use humor, and others keep everything very simple.

So maybe the real goal shouldn't be to make AI writing sound “human.” Maybe it should be to make it sound like a particular person with a particular way of communicating.

What do you think?

If you were trying to improve an AI-generated paragraph, would you focus on making it generally natural, or would you focus specifically on making it sound like your own writing?

I'm curious whether people have found that distinction useful when editing.

Hi all,

I built Sitealyser, a free SEO tool that scrapes web pages and identifies technical issues, checks target keyword placement across core page elements, and provides actionable recommendations.

No paywall. No sign up. No ads. Just a personal project to practice my coding skills and solve a problem I experienced in my last SEO role, which was spending ages downloading Screaming Frog reports or manually checking on-page elements when optimising blog articles.

One limitation of the app is that it won't pick up DOM elements rendered via Javascript.

Hope you find the tool useful and it saves you time identifying issues on your webpages. If you find any bugs, please let me know and I'll try to fix them when I find the time.

Seo tools have gotten pretty good at the traditional stuff like, keyword tracking, backlinks, technical audits, competitor research, content analysis, etc.

But search itself seems to be changing pretty quickly.

People are increasingly getting answers directly from AI instead of clicking through a list of search results, and that seems like it could change what we actually need SEO tools to measure.

I would like to know what everyone here thinks.

If you were building an seo tool from scratch today, what would you make it track that the current generation of tools doesn't?

Would you still focus mainly on rankings and backlinks, or would you measure things like brand mentions, visibility in AI answers, citations, entity presence, or something completely different?

Edit: Appreciate everyone who shared their thoughts here. There were a few interesting points around the fact that traditional SEO metrics can tell you how visible a site is in search, but they don't always tell you how a brand is being surfaced when people search through newer channels. That actually pushed me to look a little deeper into this area and spotting visiblie while exploring how brands can monitor their presence beyond traditional search rankings, particularly across ai-driven discovery. It was interesting to see how much broader the measurement side of search is becoming compared with what most of us have traditionally tracked.