GEOmind Now Queries Real AI Models — See How ChatGPT, Perplexity, and Google AI See Your Brand

Most GEO tools just scan your website's HTML. They check robots.txt, meta tags, and structured data. That's useful — but it doesn't answer the real question: "When someone asks an AI about my product category, does it recommend me?"

Today we're shipping the feature that answers that question.

What Changed

GEOmind now queries real AI models — ChatGPT, Perplexity, and Google Gemini — to see how they represent your brand. For each model, we ask 5 questions:

1. "What are the best products similar to [your brand]?"
2. "What is the best service for what [your brand] offers?"
3. "What is [your brand]? Is it good?"
4. "Which alternative would you recommend?"
5. "How much does [your brand] cost?"

We then analyze each response for:

• Whether your brand is mentioned at all (40% of score)
• Whether you're the top recommendation (35%)
• Sentiment — positive, neutral, or negative (20%)
• Competitive position — how many competitors are mentioned (5%)

Each engine gets a separate score (0-100), so you can see exactly where you're winning and where you're invisible.

Why This Matters

LucidEngine charges $89/mo for per-engine AI visibility tracking. GEOmind does it for $9/mo. But pricing isn't the point — the point is that most businesses have a blind spot.

Here's what we've seen in testing:

• A Shopify store with 78/100 GEO score was completely invisible on ChatGPT (score: 12/100)
• A DTC brand ranked #1 on Perplexity for their category but wasn't mentioned at all by Google AI
• Two competitors were being recommended instead of the brand owner on every single engine

Static SEO scores don't catch this. Only actual AI model querying does.

What You Get

Per-Engine Scores: Separate 0-100 scores for ChatGPT, Perplexity, and Google AI.

Sentiment Tracking: See how each model describes you — are you "the best," "a good option," or "okay"?

Competitor Detection: See exactly which competitors AI recommends instead of you, and track their mention count across all 3 engines.

Gaps Identification: GEOmind tells you exactly where you're falling short — "ChatGPT doesn't mention you at all," "Perplexity recommends [Competitor] instead of you."

Historical Tracking: All scans are saved. Watch your scores change over time as you optimize.

How To Try It

1. Go to geomind.app
2. Paste any URL
3. Get your static GEO score (always works, free, no signup)
4. Configure API keys in the dashboard to unlock per-engine AI scoring
5. See the full picture — static analysis + actual AI model behavior

The Technical Stuff

We query 5 questions per engine, 3 engines = 15 API calls per scan. Each response is analyzed for brand mentions, sentiment, recommendation status, and competitor landscape.

The analysis is deterministic (no ML models, no fuzzy matching) — we use text search for brand mentions, pattern matching for "top recommendation" detection, and sentiment word counting for tone analysis.

API keys are stored per-user (encrypted in transit) and never shared. You can also set system-wide keys via environment variables.

What's Next

• Alert triggers: Get notified when your scores drop or a competitor starts gaining mention share
• Protocol Sync: One-click optimization for the surfaces AI reads — homepage, docs, pricing, reviews
• Historical sentiment graphs: Visualize how AI perception of your brand changes over time

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GEOmind is the most affordable GEO tool at $9/mo — 2x cheaper than Otterly, 10x cheaper than LucidEngine. Based on KDD 2024 research. Now with real AI model querying.