




AEO Vision
Agentic AEO audits for any URL, showing how AI answer engines understand, cite, and recommend your brand.
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Additional info
How was your experience building with Codex?
Building with Codex was extremely productive. It helped move quickly from idea to implementation, especially while structuring the frontend, backend, agent integration, deployment flow, documentation, and demo assets. The best part was being able to iterate fast: design the UI, connect APIs, debug the agent response, improve loading states, create documentation, and prepare a demo without losing momentum. Codex felt like a strong engineering partner throughout the build.
Describe your experience using Loops House as the hackathon platform. What worked well, what challenges (if any) did you face, and what improvements would you like to see?
Using Loops House as the hackathon platform was smooth and inspiring. The platform created a focused environment for building, experimenting, and presenting ideas. What worked well was the overall structure, the energy of the community, and the clarity around building something useful in a short time. The main challenge was deploying the agent in AWS as Lambda Function and creating lambda URL for integrating the AEO Vision Product.
Tell us about your overall experience at Codex Community Hackathon Pune.
The overall experience was excellent. It was a high-energy, builder-focused environment where participants could explore real problems, ship working prototypes, and learn from each other. The hackathon encouraged practical execution, not just ideation. It was especially valuable because it pushed us to think about product, design, backend architecture, agent workflows, deployment, and storytelling together.
What could Codex Community improve to create a better experience for participants?
Codex Community can make an already great experience even better by adding a simple submission checklist, a few sample pitch references, and quick mentor check-ins near the final stage. This would help teams feel more confident while polishing and submitting their projects.
Team
1 member- ALOwner
Al-hussain Hakim Shaikh
Overview
AEO Vision is a AI dashboard for marketers, founders, SEO teams, and product teams who want to improve visibility inside AI-generated answers. Paste any URL and the platform runs an agentic AEO audit across major LLM-style answer engines, scoring trust, entity clarity, citations, schema, crawlability, and model interpretation. It turns the audit into a practical improvement plan with answer-ready copy, schema recommendations, proof gaps, crawler fixes, and prioritized next steps.