Frequently Asked Questions

AI Perception Engineering is the practice of optimizing how brands and entities are understood and represented by AI systems like ChatGPT, Claude, Google Gemini, and Perplexity. It focuses on ensuring accurate, positive, and comprehensive representation in AI-generated responses.

As more users rely on AI assistants for information and recommendations, how AI systems perceive and describe your brand directly impacts discovery, reputation, and customer decisions. Poor or inaccurate AI perception can lead to missed opportunities and reputation damage.

We analyze responses from leading AI systems including OpenAI GPT-4, Anthropic Claude, Google Gemini, and Perplexity AI. Our analysis covers how each system perceives your brand across various query types and contexts.

While traditional SEO focuses on search engine rankings, AI Perception Engineering focuses on how AI language models understand and represent your brand. AI systems draw from different sources and use different reasoning, requiring specialized optimization strategies.

Yes, we identify negative perception patterns across AI systems and provide actionable recommendations to improve how AI describes your brand. This includes addressing factual inaccuracies, outdated information, and sentiment issues.

We use a proprietary scoring system that analyzes multiple factors: mention frequency, sentiment analysis, factual accuracy, competitive positioning, recommendation likelihood, and knowledge graph completeness across different AI providers.

The AI Perception Score is a 0-100 metric that quantifies how well AI systems understand and represent your brand. It combines sub-scores for visibility, accuracy, sentiment, authority, and competitive positioning.

We recommend monitoring AI perception at least weekly, as AI models update frequently and market conditions change. Real-time monitoring helps you catch and address issues before they impact your brand.

AI systems learn from various sources including Wikipedia, news articles, official websites, review platforms, social media, academic papers, and structured data like Schema.org markup. Optimizing these sources improves AI perception.

Improvements vary based on the issues identified. Quick wins like Schema.org markup can show impact within weeks. More substantial changes to underlying data sources may take 1-3 months to reflect in AI responses.

We offer a free initial analysis that provides an overview of your AI perception score. Premium plans with detailed analysis, recommendations, and ongoing monitoring start at competitive rates. Contact us for specific pricing.

Yes, you can analyze your brand for free to get your AI Perception Score and basic recommendations. No credit card required to start.

Premium plans include: detailed multi-provider analysis, competitor comparison, actionable recommendations, weekly monitoring, trend tracking, alert notifications, and dedicated support for implementing improvements.

Clients typically see 20-40% improvement in AI perception scores within 3 months. This translates to better brand representation, more accurate information in AI responses, and improved recommendation likelihood.

Our dashboard tracks your AI perception score trends, showing improvement across different providers and metrics. You can see historical data, compare periods, and measure the impact of specific optimizations.

While we cannot guarantee specific outcomes since AI systems are independently operated, our methodology is based on proven optimization principles. We provide transparent reporting so you can see measurable improvements.