AI Is Recommending Your Competitors. Not You.
When a buyer asks ChatGPT or Perplexity for the best tool in your category, your product either makes the shortlist — or it doesn't exist. Most B2B SaaS products don't make it.
No signup required. Instant preview — full report within minutes.
What AI Gets Wrong About Your Product
Your potential customers have changed how they research tools. Instead of Googling “best email marketing software” and clicking through ten results, they ask an AI assistant and trust the answer. One question, one response, three to five tools mentioned. That's the new playing field.
The problem isn't just that AI doesn't mention you. It's that AI confidently describes your product with wrong information — outdated pricing, missing features, incorrect positioning. Or worse, it recommends a competitor for the exact use case your product handles best.
Traditional SEO won't fix this. AI engines don't read your meta descriptions or care about your keyword density. They synthesize information from how your product is described across the web — in documentation, reviews, comparison articles, and structured data. Ranking on page one of Google doesn't mean AI will mention you. This requires a different diagnosis approach.
Here's the compounding problem: every day you're absent from AI answers, competitors who ARE cited get reinforced. AI engines grow more confident recommending them, which makes it harder for you to break in later. The gap widens daily.
Audit → Fix → Recheck
We don't just tell you that AI visibility is weak. We show what AI gets wrong, map it to the exact pages causing the problem, and give you a prioritized repair plan your team can actually ship.
1. Audit
We query ChatGPT, Perplexity, Gemini, DeepSeek, Claude, and Mistral with your ICP's actual questions. You get a page-level report showing exactly what AI says about you, what it gets wrong, and where it doesn't mention you at all.
2. Fix
Your audit report includes a prioritized fix list mapped to specific pages — homepage, pricing, comparisons, and proof signals. Fix them yourself or use our Fix Sprint to get it done faster.
3. Recheck
After your fixes go live, Sentinel Lite runs weekly checks across all 6 engines to track whether AI descriptions improve. You'll know what changed, when it changed, and whether the fixes are working.
Why You Should Not Start With Monitoring
Most AI visibility platforms want to sell you a monthly monitoring subscription on day one. That's like paying for a fitness tracker before you know which muscles are injured.
Monitoring without diagnosis is just paying to watch the same problem. You need to know which pages AI pulls from, what it gets wrong, and where competitors are being cited instead. Then you fix the highest-impact gaps. Then you monitor to validate.
That's why EurekaNav's offer ladder starts with diagnosis: Free Audit → AI Recommendation Audit → Fix Sprint → Sentinel Lite. Each step earns the next.
AI Recommendation Audit — $199
A page-level diagnosis across 6 AI engines with a prioritized fix plan.
What you get
- Deep 6-engine visibility review (ChatGPT, Perplexity, Gemini, DeepSeek, Claude, Mistral)
- Page-level diagnosis — homepage, docs, pricing, comparisons
- Prioritized fix list with impact ranking
- Recommendation readiness summary
- Suggested recheck timeline
- PDF report delivered to your email
Why founders buy it
- Stops guessing — you see exactly what AI says about you
- Maps problems to specific pages, not abstract scores
- Fix list your team can execute without hiring an agency
- One-time $199 — no subscription to start
Or start with the free audit to preview your biggest gaps.
Fix Sprint — Implementation Support
Know what's broken but don't have time to fix it? Our Fix Sprint packages repair the exact pages AI relies on most.
Sprint 3
Fix 3 high-impact pages identified in your audit report.
Sprint 5
Fix 5 high-impact pages + evidence layer (testimonials, data, proof signals).
Sprint 7
Fix 5–7 pages + compare-page kit + recheck prep for Sentinel.
Pages we typically prioritize: homepage, pricing, compare page(s), product/docs landing, and proof / evidence blocks.
Ask about Fix Sprint pricingWhen Sentinel Lite Makes Sense
Sentinel Lite is your post-fix validation layer. Start it after you've shipped fixes — not before.
What Sentinel Lite does
- Weekly engine checks across all 6 AI assistants
- Change tracking on the pages you fixed
- Drift alerts if AI descriptions regress
- Monthly summary of improvement signals
- Action reminders tied to unresolved gaps
When to start
Good time: You've completed your audit, shipped fixes to at least 3 key pages, and want to track whether AI descriptions improve.
Too early: You haven't run an audit yet, or you know the problems but haven't fixed any pages. Monitoring won't help until there are changes to measure.
$99/month · 14-day free trial
GEO Learning Hub
Everything you need to understand AI recommendation readiness, from foundational guides to advanced playbooks.
Core Guides
What Is GEO? The Complete Guide
Answer Engine Optimization explained — what it is, why it matters, and how to start.
GEO vs SEO vs GEO: What's the Difference?
Understand the three pillars of modern search visibility and when to use each.
How AI Search Engines Rank Sources
Reverse-engineering the citation logic behind 6 major AI engines.
AI Visibility Score: How We Measure Citations
Our scoring methodology across 6 engines — from 6 (Critical) to 18 (High).
Actionable Playbooks
GEO Checklist: 25 Things to Fix Now
A step-by-step checklist to optimize your product for AI citations.
How to Get Cited by ChatGPT: Full Playbook
Specific tactics to increase your chances of appearing in ChatGPT answers.
Structured Data for AI Search
How schema markup and JSON-LD help LLMs understand and cite your product.
Answer-First Content Strategy
Write content AI engines want to cite — structure, format, and positioning.
Frequently Asked Questions
What exactly is an AI Recommendation Audit?
We query 6 AI engines (ChatGPT, Perplexity, Gemini, DeepSeek, Claude, Mistral) with prompts your ICP actually asks — then map every gap, misquote, and missing mention back to the specific pages on your site causing the problem. You get a prioritized fix plan, not just a dashboard.
How is this different from SEO?
SEO optimizes for search engine crawlers and ranking algorithms. AI recommendation readiness is about how large language models understand, describe, and recommend your product. Google ranks pages. AI engines synthesize answers from how your product is described across documentation, reviews, comparison articles, and structured data. Different inputs, different strategy.
Will this guarantee my tool appears in AI answers?
No. No one can guarantee that — and anyone who does is misleading you. What the audit does is identify exactly where your product information is weak or missing, then tell you which pages to fix first for the highest impact. This significantly increases your chances of being cited, but AI answer generation involves many factors.
How long does it take to see results after fixing pages?
AI engines update their knowledge bases on different timelines. Some changes reflect within weeks; others take longer. After you ship fixes, Sentinel Lite tracks weekly whether AI descriptions improve — so you will know when it happens.
Can I do this myself?
In theory, yes. It requires testing across 6 AI platforms, understanding which pages they pull from, comparing competitor citations, and building a prioritized repair plan. Most founders have better things to do with those hours. The $199 audit saves you that research time and gives you an execution-ready list.
Do I need Sentinel Lite right away?
Usually no. Most teams should start with diagnosis (Free Audit or the $199 AI Recommendation Audit), then ship fixes, then start Sentinel Lite to track whether those fixes improved recommendation readiness. Monitoring without a fix plan is just paying to watch the same problem.
Your Competitors Are Already in the AI Answer. Are You?
Free audit first. Pay only when you're ready for a full diagnosis.