AEO Audit Platform: Multi-AI Engine Brand Visibility Analysis and Optimization Tool

This article introduces an Answer Engine Optimization (AEO) audit platform for consumer-facing enterprises. The platform supports simultaneous queries across six major AI engines—ChatGPT, Claude, Gemini, DeepSeek, Perplexity, and Grok. It helps enterprises analyze their brand presence on each platform, provides competitor benchmarking, and offers actionable optimization recommendations. Its core value lies in addressing the new challenges of brand visibility in the generative AI era, enabling enterprises to quickly obtain a comprehensive AI ecosystem visibility profile and formulate optimization strategies.

Today, as generative AI rapidly reshapes how information is accessed, how brands are understood and presented by AI engines like ChatGPT, Claude, and Gemini has become a new frontier in digital marketing. Traditional SEO strategies struggle to cover the content generation logic of AI engines, so enterprises urgently need professional tools to evaluate their performance in the AI search ecosystem. The AEO Audit Platform was built to address this need.

The platform's main features include: 1. Multi-provider Parallel Audit: Simultaneously sends queries to 6 mainstream AI engines; a single batch of 100 prompt queries takes approximately 7 minutes to complete. 2. Intelligent Prompt Generation: Uses Claude LLM to generate customized prompts, with built-in presets for 7 business types and over 400 templates. 3. Competitor Benchmarking: Performs lightweight audits (25 prompts + 2 providers) on competitors and generates ranking comparisons. 4. LLM-driven Deep Analysis: A two-stage Claude analysis process that generates visibility, sentiment, and competitive analysis, along with specific optimization recommendations.

Frontend: Next.js14, TypeScript, Tailwind CSS, shadcn/ui, Recharts; Backend & Infrastructure: Next.js API routes, Prisma ORM, PostgreSQL, BullMQ+Redis, SheetJS; Audit Flow: Prompt generation (Claude + template fallback) → parallel queries (rate-limited retries by provider) → response analysis → competitor benchmarking; Security & Cost: API keys are stored with AES-256-GCM encryption; the cost for 100 queries varies by provider, ranging from $0.07 (DeepSeek) to $3.50 (Gemini).

The report includes seven sections: 1. Overview (heatmaps, radar charts, bar charts, etc.); 2. Visibility (scores, segmented data); 3. Sentiment Analysis (stacked bar charts, topic tags); 4. Competitive Analysis (share of voice, threat levels); 5. Benchmarking (multi-metric radar charts); 6. Optimization Recommendations (URLs, copy comparisons, steps); 7. Raw Data (filterable tables). These dimensions help enterprises fully understand their brand performance in the AI ecosystem.

The platform is suitable for consumer-facing enterprises such as hotels, catering, SaaS, retail, and healthcare. Through regular audits, enterprises can: track trends in brand visibility changes; identify brand presentation issues in AI responses; understand competitors' AI strategies; obtain SEO and content optimization directions; monitor the spread of brand reputation in the AI ecosystem.

The platform supports two deployment methods: 1. Local Docker Compose deployment: Clone the repository and run docker compose up; 2. Railway cloud deployment: The production environment is live, accessible at aeo-audit-platform-production.up.railway.app. Self-hosting enterprises can refer to the complete installation and configuration documentation provided by the project, including steps for obtaining API keys and configuring providers.