I've been deep in the Generative Engine Optimization space for months now, building GEOmind — a free GEO scanner and optimization platform. Last week I shipped three features that I genuinely couldn't find in any existing tool, including the big players like AthenaHQ ($295/mo) and Profound ($99-$499/mo).
I want to share what they are and why they matter, because I think the current crop of GEO tools is missing some obvious opportunities.
The Problem With Current GEO Tools
Most GEO platforms today do roughly the same thing:
- Track whether your brand gets mentioned in AI answers
- Show you competitor mentions
- Give you a score
That's useful, but it's passive. It tells you "you're losing" without telling you exactly how to win. And they completely ignore two massive surfaces: images and AI hallucinations.
Feature 1: Visual GEO
Here's something nobody talks about: ChatGPT, Gemini, and Perplexity are increasingly surfacing images in their answers. Google's AI Overviews pull product images directly into search results.
But every GEO tool I've tested only looks at text.
Visual GEO scans your website's images and scores them on:
- Alt text quality — Is it descriptive enough for AI vision models?
- Semantic richness — Does it contain authority signals?
- Brand reinforcement — Is your brand name in the alt text?
- Technical signals — Dimensions, title attributes, filenames
I ran it against Nike.com and they scored a D (38/100). Their images have generic alt text like "shoe-1.jpg" — invisible to AI scrapers.
curl -X POST https://geomind.app/api/visual-geo \
-H "Content-Type: application/json" \
-d '{"url":"https://your-site.com"}'
It returns per-image scores, specific issues, and suggested optimized alt text. Takes 2 seconds.
Feature 2: Hallucination Defense
AI models hallucinate. I've seen ChatGPT confidently tell users that a real company doesn't offer free shipping — when they do. Or that a product has quality issues — when it doesn't.
No GEO tool I found monitors this systematically.
Hallucination Defense probes AI models with 8 edge-case questions about your brand:
- "What is [brand]'s return policy?"
- "Are there any controversies about [brand]?"
- "What are common complaints about [brand]?"
It flags high-risk questions and generates a correction schema — actual FAQPage JSON-LD markup you can paste into your site so AI models find your official answer first.
curl -X POST https://geomind.app/api/hallucination-check \
-H "Content-Type: application/json" \
-d '{"brand":"YourBrand","url":"https://your-site.com"}'
Feature 3: LLM Intercept
This is the one I'm most excited about. Instead of just showing you "competitor X gets mentioned and you don't," LLM Intercept tells you exactly why and gives you the text to fix it.
It fetches both your site and your competitor's site, then analyzes:
- Authority signals — words like "trusted," "certified," "#1"
- Specificity — concrete numbers, stats, percentages
- Comparison language — "vs," "compared to," "better than" (AI loves this)
- FAQ coverage — questions that match how people ask AI
- Schema markup — structured data that AI models parse
- Freshness — recent dates, "updated" markers
Then it gives you copy-pasteable text to close each gap.
curl -X POST https://geomind.app/api/llm-intercept \
-H "Content-Type: application/json" \
-d '{
"client_url":"https://your-site.com",
"competitor_url":"https://competitor.com",
"query":"best [your category]"
}'
Example output: "Your competitor has 12 authority signals vs your 3. Add this paragraph to your landing page: 'As a trusted and certified provider of [X], [Brand] has been recognized by industry experts...'"
Why I Built These Instead of Using Existing Tools
I looked at AthenaHQ, Profound, Peec AI, Scrunch, and several others. They all charge $100-$500/month for what amounts to mention tracking with dashboards.
None of them:
- Scan images for AI visibility
- Monitor AI hallucinations about your brand
- Tell you the exact text to add to beat a competitor
GEOmind's core scanner is free. These three features are free. I'm a solo founder and I'd rather have 10,000 people using free tools and 100 of them upgrading for monitoring, than charge $300/month upfront and get 5 customers.
Pricing: 4-8x Cheaper Than Anyone
I researched every GEO tool's pricing:
| Tool | Price | Per-query cost |
|---|---|---|
| AthenaHQ | $295/mo, 3600 credits | ~$0.08/credit |
| Profound | $99/mo, 50 prompts | ~$2.00/prompt |
| GEOmind | $9/mo, 500 credits | ~$0.018/credit |
GEOmind's credit system:
- Free: 50 credits (try everything once)
- Starter: $9/mo → 500 credits
- Growth: $29/mo → 2,000 credits
- Pro: $99/mo → 10,000 credits
Credit costs per action:
- Basic GEO scan: 5 credits
- Visual GEO audit: 10 credits
- Hallucination Defense: 15 credits
- LLM Intercept: 20 credits
That makes GEOmind 4-8x cheaper than AthenaHQ and 100x cheaper than Profound per query. And the free tier isn't some crippled demo — 50 credits is enough to run 5 Visual GEO audits or 3 LLM Intercepts.
What's Next
I'm working on:
-
RAG-Optimized Content Generation — auto-generating
/llm-context/directory structures optimized for how AI scrapers chunk content - Agentic Conversation Testing — simulating multi-turn buying conversations to measure how hard AI fights for your brand
If you want to try any of these, they're live at geomind.app. No signup required for the scanner and API endpoints.
I'd love to hear what features you think are missing from the GEO space. What would actually make you switch from your current tool?
Top comments (0)