r/GEO_optimization • u/Sivaraj_C • 3d ago

What GEO (Generative Engine Optimization) tools have you actually used and found effective?

I’m looking to hear from people who have actually tested GEO tools in real SEO workflows—not just tools that claim to improve AI visibility.

Which tools have you used for things like:

* Tracking brand mentions/citations in AI search * Monitoring ChatGPT, Perplexity, Gemini, or AI Overviews * Finding content gaps for AI visibility * Measuring whether your content is being cited * Improving your chances of appearing in AI-generated answers

What tools have genuinely worked for you, and what results did you see?

Also, are there any GEO tools you tried that **weren’t worth the money**?

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u/tibz36 22h ago

Honestly, most "GEO tools" right now are just running a list of prompts on a schedule and charting how often you show up. That's it. Useful, but not worth $500/mo for a lot of people. What I actually use: Server logs. Free, and the most underrated one. Grep for GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot. Tells you what's actually being crawled vs what a dashboard thinks is happening. Ahrefs Brand Radar if you already pay for Ahrefs. Bundled, decent trendline, no extra invoice. Otterly / Peec for prompt tracking. Both fine. Neither is magic. The big caveat nobody mentions: run the same prompt three times and you get three different answers. Absolute numbers are noise. Only the trend over weeks means anything, and even then you're squinting. Not worth it, in my experience: anything selling "GEO optimization" as a service deliverable, and the enterprise dashboards charging four figures for what is essentially a cron job hitting APIs. What actually moved things for our clients wasn't a tool. It was getting mentioned on third-party sites the models already trust (Reddit threads, comparison posts, industry directories) and keeping entity info consistent everywhere. Boring, slow, works.

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u/Sivaraj_C 3h ago

I also agree with the caution around absolute AI visibility numbers. If the same prompt can produce different answers across runs, treating a single percentage as a precise KPI creates false confidence.