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I've tested maybe 30 AI SEO tools in the past year. Most are garbage. Here's my honest rundown of what's worth paying for and what's just ChatGPT with a markup.
The AI gold rush is in full swing. Every SEO tool slapped "AI-powered" on their homepage and called it a day.
Most of it's horseshit.
You know the drill. ChatGPT hits mainstream, suddenly every software company has an "AI assistant" that's just the OpenAI API with a fresh coat of paint. They charge $99/month for something you could build in 15 minutes with API credits.
But some AI tools actually work. Not all hype is hype.
The trick is knowing which ones are genuine improvements and which are glorified ChatGPT wrappers.
The gold rush (and why most of it's garbage)
In 2024, AI became the magic word that makes investors throw money at you. Every SaaS company added "AI-powered" to their pitch deck. Most didn't change anything meaningful.
Here's what actually happened:
Tools that were already good at keyword research added GPT-4 to spit out content briefs
Tools that did technical SEO audits added AI to write alt text for images
Tools that tracked rankings added "AI Overviews tracking" because Google's showing AI summaries now
Completely new tools popped up promising "one-click SEO" and "automated ranking"
The first three? Actually useful in the right hands. The last one? Scam.
The problem with AI in SEO is the same problem everywhere else. It's really good at looking productive while doing nothing useful. It can write 10,000 words of perfectly formatted, completely generic content that says nothing.
Google knows this. They updated their spam policies specifically to deal with "scaled content abuse." If you're pumping out thousands of AI-generated pages with zero human oversight, you're getting demoted or deindexed.
What AI is actually good at
AI isn't useless. You just have to know what it's for.
Think of it as a force multiplier. Makes good people better. Doesn't replace them.
Content gap analysis
This is where AI shines. Tools like Surfer SEO and Clearscope scan the top 20 ranking pages for your target keyword. They figure out what topics those pages cover that you don't.
Surfer's "Coverage Booster" uses LLMs to flag missing facts and subtopics. You're not using AI to write content. You're using it to find gaps in existing content.
That's the difference between AI as a crutch and AI as a tool.
SERP-grounded briefs
Ahrefs released their AI Content Helper in September 2024. It creates briefs based on actual search results, not just keyword data.
Key word: "grounded." The AI isn't making stuff up. It's analyzing what's already ranking and telling you what Google wants to see.
Then you write something better.
Technical SEO automation
Unglamorous but useful. Screaming Frog SEO Spider now integrates with ChatGPT, Gemini, and Claude.
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Run custom prompts during a crawl. Generate missing alt text. Summarize content anomalies. Find semantic similarities.
All the boring, repetitive tasks that take forever but don't require creative thinking? AI handles those. You focus on strategy.
Keyword research acceleration
Every major SEO suite added AI to speed up keyword research. Ahrefs, Semrush, SE Ranking.
It's not doing anything fundamentally new. Just faster at clustering keywords, identifying intent, suggesting related terms.
You still need to know what you're doing. AI helps you do it in hours instead of days.
Link building prospecting
Tools like BuzzStream's ListIQ use AI to build hyper-targeted media lists from sources like Google News.
The catch: you cannot use AI to write outreach emails. Journalists spot AI-generated pitches instantly. They hate them.
Use AI to find the right people to contact. Then write the damn email yourself.
Where AI falls flat
Now for the bad news.
Writing content that doesn't sound robotic
ChatGPT writes like a committee. Every sentence technically correct and completely forgettable.
You know the tells:
"In conclusion..."
"It's important to note that..."
"Let's dive in..."
"Game-changer"
Lists that always have 5 or 7 items
Google doesn't explicitly penalize AI content. But they demote low-value, unoriginal content. AI without heavy editing is both.
The algorithm can't tell if a robot wrote it. But it can tell if it's generic, derivative garbage with no unique insights.
Building real authority
Google's E-E-A-T guidelines matter more than ever. Experience, Expertise, Authoritativeness, Trustworthiness.
AI has none of those. Can't cite original research because it hasn't done any. Can't share personal experience because it doesn't have any.
If you're in YMYL niches (health, finance, legal), AI-generated content is basically worthless without extensive human oversight and fact-checking.
Creating actual backlinks
You can't AI your way into backlinks. Sorry.
Some tools claim to automate link building with "AI-powered outreach." What they mean: spam thousands of websites with generic emails.
The average time to acquire a single quality backlink through outreach? Eight days. With personalized, human-written pitches.
AI-generated outreach emails have a response rate approaching zero. Journalists, bloggers, editors get hundreds daily. They delete them instantly.
Real backlinks come from real relationships and real value. Can't automate that.
What works and what doesn't, by category
Content generation
Works:
Using ChatGPT or Gemini to draft outlines and brainstorm
Asking AI to rewrite sections for clarity
Generating schema markup
Creating meta descriptions (but review them)
Doesn't work:
Publishing AI content without editing
"One-click" content generators promising 50 articles a week
Programmatic SEO at scale with zero oversight
Letting AI write about topics requiring expertise
AI accelerates writing. It doesn't replace it.
Keyword research
Works:
Ahrefs, Semrush, SE Ranking for AI-augmented keyword clustering
Using AI to expand keyword ideas and identify intent
Tools that analyze SERP patterns
Doesn't work:
Trusting AI intent classification blindly (tools disagree constantly)
Relying entirely on AI-suggested keywords without validating against real data
Using AI to predict what will rank (it can't)
AI helps research faster. Doesn't tell you what will rank.
Link building
Works:
BuzzStream + ListIQ for building targeted prospect lists
Using AI to verify email addresses (Hunter, Snov, Apollo)
AI-assisted personalization that you heavily edit
Doesn't work:
Automated outreach at scale with AI-generated emails
Any tool promising "100 backlinks in 30 days" through automation
Using AI to write guest post pitches
AI finds prospects. Humans build relationships.
Technical SEO
Works:
Screaming Frog's AI integrations for repetitive tasks
AI-powered semantic similarity detection
Automated alt text generation
Using AI to summarize content anomalies during audits
Doesn't work:
Trusting AI to diagnose complex technical issues without verification
Using AI to automatically "fix" SEO issues without understanding what's broken
Relying on AI for strategic decisions (site architecture, canonicalization)
AI automates the boring stuff. You still need to know what you're doing.
How to spot a wrapper
Dirty secret: most "AI SEO tools" are just wrappers.
They take the OpenAI API or Gemini API, add a simple interface, charge $99/month.
You could build the same thing with $20 of API credits.
How to spot them:
Check which model they use. If they're cagey about it, probably just ChatGPT.
Look at pricing. Subscription-based with no usage limits means they're marking up API costs.
Test the output. Sounds exactly like ChatGPT? Probably is.
Check their changelog. Wrappers rarely innovate. They just update when OpenAI updates.
Good tools build proprietary systems. Surfer's content analyzer isn't just ChatGPT. Ahrefs' AI Content Helper integrates with their massive SERP database.
That's the difference between a tool and a wrapper.
Why backlinks can't be faked with AI
Let me talk specifically about backlinks because this is where the most bullshit lives.
Some tools promise "AI-powered link building" or "automated backlink acquisition." Here's what they actually do:
Scrape websites accepting guest posts
Generate generic pitches with ChatGPT
Spam thousands of site owners
Maybe get 5-10 low-quality links from garbage sites
Real backlinks, the kind that move rankings, come from authoritative sites. Wikipedia. Reddit. Hacker News. Major news outlets.
Can't fake your way onto those sites. They don't accept AI-generated content. They don't respond to automated outreach.
The only way to get those links: earn them through genuinely valuable content, or acquire dead domains that already have them and redirect.
That second option is what we do at Revised. We find expired domains from authoritative sources, verify the backlinks are real, redirect them to your site.
No AI required. Just old-fashioned SEO work at scale.
Because here's the thing about backlinks: Google's entire algorithm is built around them. They're the hardest signal to fake. AI doesn't change that.
The AI Overviews problem
Here's something you actually need to pay attention to: Google's AI Overviews.
These are AI-generated summaries above regular search results. Launched in the US in May 2024, now appearing in roughly 1 in 5 searches.
The data is ugly:
CTR drops 34-46% when AI Overviews are present
Zero-click searches went from 56% to 69% for news queries
Traditional links get pushed down
If you're not tracking whether you're cited in AI Overviews, you're flying blind.
Tools like SE Ranking, Semrush, and LLMrefs now track this. It's a new metric you need.
Because if Google's AI is citing competitors but not you, you're losing traffic even if traditional rankings stay the same.
This is one area where AI tools are genuinely adding new value. They're tracking a format that didn't exist before.
Tools actually worth paying for
Based on everything I know:
All-in-One Suites
Ahrefs - Deep data, AI Content Helper, SERP analysis
Semrush - Comprehensive suite, AI Overviews tracking, best for agencies
SE Ranking - Most cost-effective for tracking at scale
Content Optimization
Surfer SEO - Best for content gap analysis and SERP-grounded optimization
Clearscope - Premium NLP coverage and readability guidance
Technical SEO
Screaming Frog - Now with AI integrations for repetitive tasks. Free up to 500 URLs.
Hunter/Snov/Apollo - Email verification and data enrichment
AI Visibility Tracking
LLMrefs - Tracks citations across ChatGPT, Perplexity, Gemini, Google AI Overviews
SE Ranking/Semrush - Built-in AI Overviews tracking
Notice what's not on this list? Any tool promising one-click rankings or automated content that ranks without editing.
The honest truth
Use AI tools to go faster, not to avoid doing the work.
AI can help you research keywords in hours instead of days, find content gaps you'd miss manually, automate repetitive technical tasks, draft content you then edit heavily, build prospect lists faster.
AI cannot replace strategy, build real authority, create unique insights, earn quality backlinks, or make bad content rank.
The SEOs winning right now aren't using AI to generate 100 articles a week. They're using it to do better work, faster. Researching more thoroughly. Optimizing more precisely. Building better prospecting lists. Then doing the human work that actually matters.
If you want backlinks that actually move rankings, you need authority. Real authority from sites like Wikipedia, major news outlets, established communities.
That's what Revised does. We find dead domains with those backlinks and redirect them to your site. No AI. No automation scams. Just legitimate SEO work that Google respects.
The future of SEO isn't replacing humans with AI. It's humans using AI to do things that were impossible before.
Don't fall for the hype. Use the tools that work. Do the work that matters.
