AI SEO Tools I Actually Use (and the Ones I Dropped)

By Frederik Baun, conversion copywriter and founder of Words Sounds Visuals

I've run the AI-visibility tracker at wordssoundsvisuals.com/tools/ai-visibility/ against this site every month since I built it in August 2026.

What Does an AI SEO Tool Do That a Normal SEO Tool Doesn’t?

An AI SEO tool does one of three jobs. It writes or scores content with a language model doing part of the thinking. It mines keyword and competitor data faster than a person reading every result by hand.

Or it checks whether ChatGPT, Perplexity, or Google’s AI Overviews are naming your business when someone asks the exact question your buyer would type.

That third job is the generative-search half of the work, separate from classic ranking, and I’ve laid out exactly where GEO and SEO overlap and where they split apart here.

I split these three jobs apart because my own clients started asking a version of the same question this year, since their buyers were typing questions straight into ChatGPT instead of Google, and a page ranking on page one wasn’t showing up inside that answer.

That gap is what pushed me toward building a tracker instead of trusting a rank report on its own, so this list keeps ranking tools, content tools, and citation tools separate instead of treating them as one purchase.

Most review sites still bundle all three jobs into one ranked list, scored the same way regardless of which job a reader needs solved.

What Should You Look For Before You Pay for One?

Before I add anything to my stack, I run it against four questions.

First, does it plug into what I already have, or does it want to be the only system I use?

I run a scripts-and-checklists setup for client work. A tool that only works inside its own dashboard is one I have to work around instead of with.

Second, does it charge me for data I can get free? Google Search Console already tells you what’s ranking and what’s getting clicked, at no cost, so I don’t want to pay a subscription for the same numbers in a nicer chart.

Third, can I see the reasoning behind a score, or do I just get a number? A content-optimization score that climbs when you add five more mentions of your keyword is optimizing for the tool rather than the reader.

Fourth, does it separate ranking on Google from being cited inside an AI answer, or does it treat the two as the same thing by default?

A tool built before 2024 was built for a search results page. Some have genuinely rebuilt what they measure since, so I check the underlying metric rather than trusting the “AI” in the name.

Which AI SEO Tools Do I Use Every Week?

Here’s the shortlist, the tools I pay for or run myself, mapped to the job each one does. The rest of what I’ve built lives on the tools page.

Claude Code is the one piece I would not give up. It’s the coding and research assistant behind my whole setup.

It pulls my SERP data, drafts posts against a competitor brief, and runs the checks before anything goes live.

I use it as general-purpose software rather than a dedicated SEO product, and I’ve compared it directly against ChatGPT for copywriting work here.

If you are picking a tier rather than a tool, I cover which Claude model is best for copywriting in that same comparison.

It earns a spot on an AI SEO list because most of the individual scripts I’d otherwise pay a SaaS subscription for, pulling a SERP, checking a backlink profile, formatting a content brief, are things it runs directly against an API instead.

That collapses four or five small subscriptions into one general-purpose tool I was already paying for anyway.

The workflow underneath it isn’t a chat window, either.

I keep a directive, a short written brief, for each recurring job like a SERP pull or a content brief, and Claude Code reads that directive before it runs the actual script.

That way, the same job comes out the same way every time instead of drifting between sessions.

For raw SERP and backlink data, I pay DataForSEO by the call instead of a flat monthly fee.

A single backlink summary check runs two to three cents, so I can pull data on a hundred domains for close to the price of one month of a subscription checker.

I switched my own backlink monitoring onto this pay-as-you-go setup in July 2026, after years on a flat-rate tool.

Google Search Console answers the one question every other tool is trying to approximate: whether real people are clicking your page in a real search result.

It’s free, and it’s the source I trust for click and impression data, since it pulls straight from Google instead of estimating from a crawled sample.

For AI-search visibility, I built my own tracker instead of paying for a GEO-monitoring subscription. It runs every month against this site, asking ChatGPT and Perplexity the real questions my buyers type, and logging whether I get named in the answer.

I built it in August 2026 because the API calls behind it cost pennies, and the subscription trackers I tested priced by tracked prompt instead.

For draft quality, I run everything through the copy cleaner, a tool I built after years of catching the same AI vocabulary and rhythm problems by hand in client drafts.

It checks a draft in one pass for the words and sentence patterns that read as machine-written, and I run this exact post through it before it ships.

Where Do the Well-Known Names Fit?

You’ve almost certainly seen a few of these on someone else’s “best AI SEO tools” list, so here’s where each category sits once you sort by the job instead of the brand.

Content-optimization tools like Surfer and Clearscope score a draft against the pages already ranking for your keyword, checking word count, heading structure, and how often specific terms show up.

MarketMuse and Frase run a version of the same job, built around a broader topic model instead of a single competitor set.

All-in-one suites like Semrush and Ahrefs cover keyword research, backlink data, and site audits inside one login, with AI features layered on top of platforms built for a search engine that ranked pages, Semrush since 2008 and Ahrefs since 2010.

SE Ranking runs a lighter, cheaper version of the same idea for a smaller team.

A newer category tracks AI-search visibility specifically, checking whether ChatGPT, Perplexity, or Google’s AI Overviews name a business inside an answer instead of just ranking its page.

AthenaHQ, Peec AI, Rankscale, and Profound compete in this lane, usually pricing by the number of tracked prompts or keywords rather than a flat seat fee.

For content ideation rather than optimization, BuzzSumo and AnswerThePublic surface what’s already getting engagement or what people are asking around a topic, before you write a word.

Screaming Frog is the crawler in this list, the one that finds broken links and structural problems across a whole site. Since version 21 it also runs crawl data through OpenAI, Gemini, or a local model on your own prompts.

Most of the subscription tools in this section land somewhere between $50 and a few hundred dollars a month once you’re past the free trial, with the AI-visibility trackers and the all-in-one suites usually sitting at the top of that range.

Check the current number on each vendor’s site before you commit, since a couple of these have changed pricing tiers more than once in the past year alone.

Every one of these does its named job well, and the same four questions from the section above still apply before any of them earns a line item in your budget.

What About Free AI SEO Tools?

Search Console isn’t the only free option worth running before you pay for anything. Google Trends shows whether interest in a topic is rising or falling, which catches a keyword that looks winnable on paper while fading in real search volume.

Google’s own Keyword Planner and PageSpeed Insights round out the free tier, covering rough search volume and site speed diagnostics without a subscription attached to either one.

Google Trends and Keyword Planner cover search interest and volume. PageSpeed Insights adds site speed, Core Web Vitals, and accessibility diagnostics on top. All three run for free, which makes them the right starting point before a subscription enters the conversation at all.

Which AI SEO Tools Did I Try and Drop?

I paid for a content-optimization tool in the Surfer and Clearscope category for about four months in 2026. It scores a draft against the top-ranking pages for a keyword and tells you which words to add and how many times to add them.

Hitting the target score got easier every week, and the drafts started reading closer to whatever the top five results already said, since the score rewards matching the field instead of saying something the field hasn’t said yet.

I dropped the subscription once that pattern showed up three drafts in a row.

I also tested two subscription AI-visibility trackers before building my own.

Both priced by tracked keyword or tracked prompt, and the plan that covered the volume I needed for one client ran close to what I now pay for a full month of DataForSEO calls across every client I have.

I built my own tracker instead, because the ChatGPT and Perplexity calls behind it cost pennies when I pay the API price directly instead of a SaaS margin stacked on top.

I also tried a general AI writing tool that generates a full blog post from a keyword in one prompt.

The draft needed a heavy rewrite before it sounded like a person wrote it, in the handful of topics I tested it against, so the tool saved me a blank page and nothing past that.

I still run drafts through a fact-check pass regardless of which tool wrote the first version, because a fluent paragraph and a true paragraph are not the same claim. The vocabulary it reached for is the same list I keep a running graveyard of here.

How Do the Tools Worth Paying For Compare?

Pricing on every tool below moves fast, so check the current number before you commit. Here’s how they compare on what each one is built to do.

Which AI SEO Tool Fits Your Budget?

If you’re running search yourself with no team, start with Search Console, Google Trends, and one pay-as-you-go data source. A flat monthly subscription is the wrong shape for occasional use, since you’re paying for a full seat to check a handful of keywords a month.

If you’re publishing every week, add a content-optimization tool, but treat the score as a floor rather than a target, and read every paragraph out loud before it goes live regardless of what the number says.

If you’re running a small team, an all-in-one suite like Semrush or Ahrefs earns its price once several people need the same data inside one login.

A pay-as-you-go API gives me raw results I then have to put somewhere my team can read.

If you’re chasing AI citations specifically, build or buy a tracker before you buy anything else, since a tracker is the only category built to answer whether ChatGPT names you back.

If you’re running content across multiple client accounts the way an agency does, budget for the data and tracking layer per client rather than per seat, since that’s where the cost scales with volume rather than with how many people are logged into the dashboard.

For a done-for-you version of this whole stack, that’s the system I run for AI SEO clients.