Why spend months coding what already works out-of-the-box?

Enterprise-grade SEO automation → instantly skip the dev headaches + budget drain.

See it in action 👇
bit.ly/4gt62Fm

Here’s the flip:

Instead of reinventing workflows in n8n, Semrush Enterprise SEO ships with:

⚡ Pre-built automations (content analysis, keyword clustering, link recs)
⚡ Handles 100k+ keywords at once
⚡ Optimized to slash LLM costs

The pain points everyone’s hitting:

Manual workflow automation = steep learning curve

Cloud LLM bills skyrocket at scale

Templates waste tokens & need manual prompt tweaking

Sound familiar? 👀

Proof it’s hot:

2K+ likes on a “billion dollar workflow” post.

Dozens of creators bragging about scraping, clustering, analyzing content in bulk.

Entire threads on LLM costs blowing up marketing budgets.

The promise: “Set up once, and your research + content runs on autopilot.”

The reality:

❌ Weeks of dev time
❌ Expensive LLM bills
❌ Templates that still need endless customization

Check out the full AI Visibility Index for industry winners, key sources, and a playbook to win both lanes 👇

bit.ly/41HHT7K

Semrush built the AI SEO Toolkit to close the gap.

✅ Track how AI platforms mention your brand
✅ See sentiment + visibility
✅ Adapt to answer-based search

If you’re not measuring AI visibility, you’re already behind.

tinyurl.com/aiseotoolkit

We call it the GEO Gap: Generative Engine Optimization.

You’re visible in traditional SEO…

But invisible when AI gives the answers.

That’s the new cliff edge.

SEO pros everywhere are calling it out:

🔹 “AI mode killed every small website.”
🔹 “Even when people use search, AI overviews shortcut clicks.”

It’s the biggest shift since Google launched.

Here’s the catch:

AI-generated answers steal attention before users ever reach your site.

So your reports show “rankings are fine”…

But your actual traffic is vanishing.

That's not the only surprising stat we found! Check out the full study

explodingtopics.com/blog/ai-work...

The full report has surprising insights.
Read it here 👇
explodingtopics.com/blog/ai-work...

Smart companies will:

✓ Audit current AI usage across teams
✓ Establish clear guidelines and training
✓ Provide approved tools and budgets
✓ Create feedback loops for best practices

Ignoring this won't make it disappear. It'll just make it less secure and less effective.

The disconnect is massive.

Employees aren't waiting for permission. They're solving problems now.

What employers provide:

• 50.11% offer little to no training
• 29% of employees pay out of pocket for AI tools
• Most have no AI guidelines or policies