AEO Audit Tool
Your AEO tool gives you a score.
Ours gives you a to-do list.
We query Claude, Gemini, and GPT-4o with your brand's keywords. Then we tell you exactly what content is missing, which competitors are showing up instead of you, and what pages to build this week.
Free: 3 audits/day, 1 model. No credit card. No demo call.
How It Works
Enter your brand details
Brand name, domain, and up to 5 queries your customers actually ask. Category queries, comparison queries, problem queries.
We query the LLMs
Each query runs against Claude, Gemini, and GPT-4o. We parse every response for brand mentions, position, sentiment, and competitor references.
Get your action plan
Not just a score. Specific content gaps, pages to create, competitor moves to counter. The kind of output you can hand to a writer on Monday morning.
Why This Exists
Built for the person who does the work
Most AEO tools are built for the person who presents at the board meeting. Dashboards with visibility scores that look great in a slide deck but don't answer the only question that matters: what do I ship this week?
We built this for in-house SEOs, agency operators, and content strategists. The people who need to turn a visibility gap into a content brief before Friday.
Transparent pricing, real output
Pricing starts at $49/mo. It's on the website. You don't need to talk to sales.
No credit-based pricing that makes costs unpredictable. No features gated behind a "contact us" wall. No enterprise-only tiers for basic functionality.
We show you the raw LLM responses. No black-box scoring. You can see exactly why you got the score you got.
Pricing
- 3 audits/day
- 1 model (Claude)
- No history
- 100 audits/day
- 3 models
- 30-day history
- 500 audits/day
- White-label PDFs
- 1-year history
- Unlimited audits
- API access
- Custom integrations
Built by Rank Friendly
We're an SEO agency in Jerusalem. We've been running AEO audits by hand for clients since LLMs started eating search traffic. The spreadsheet got old. So we built the tool we wanted to use ourselves and made it available to everyone.
Questions
How accurate is the parsing?
We use structured-output prompts to extract brand mentions, position, sentiment, and competitor references from each LLM response. You can inspect the raw responses yourself. The parsing is deterministic given the same response.
What models do you use?
Claude (Anthropic), Gemini (Google), and GPT-4o (OpenAI). Free tier runs Claude only. Paid tiers run all three in parallel.
Why should I trust the recommendations?
Each recommendation cites the specific queries and competitor mentions that generated it. You can trace every suggestion back to a real LLM response. If the recommendation doesn't make sense, you can see exactly why the system made it.
Is this different from checking ChatGPT manually?
We run queries across multiple models, parse responses programmatically, track changes over time, and generate specific content recommendations. You could do this manually, but it would take hours per brand per week.
Can I export results?
CSV export on all tiers. White-label PDF reports on Agency and above.