Glossary of AI Sentiment Analysis Terms
AI sentiment analysis in AI search evaluates whether artificial intelligence platforms describe, recommend, or summarize a business in a positive, neutral, or negative tone when answering customer inquiries. SaidTrue measures these responses across leading AI engines like ChatGPT, Gemini, Perplexity, and Claude to give businesses clear visibility into their AI reputation.
AI Sentiment AnalysisThe process where algorithms evaluate the tone, context, and bias of text generated by AI models when referring to your business. It determines whether AI search tools recommend your services favorably, neutrally, or unfavorably to potential buyers.AI Search EngineAn artificial intelligence system—such as ChatGPT, Gemini, Perplexity, or Claude—that answers user queries directly instead of providing a standard list of website links. SaidTrue tracks how these platforms describe and evaluate your brand when customers prompt them.AI Reputation ScorecardA standardized report generated by SaidTrue that grades how accurately and positively AI models describe your business. It aggregates sentiment, citation accuracy, and recommendation frequency into an accessible overall brand grade.Citation SourceThe underlying website, web directory, or online summary that an AI engine references when generating information about your brand. Tracking citation sources helps identify where AI models pull positive or negative context.AI Recommendation RateA metric indicating how frequently an AI platform suggests your business when users ask for recommendations in your industry or local area. Positive sentiment directly increases the likelihood of an AI engine featuring your company as a top choice.AI Misread (Hallucination)Occurs when an AI platform generates incorrect, outdated, or misleading details about a business's offerings or reputation. Sentiment tracking helps detect these inaccuracies before they damage customer trust.Verified AI ProfileAn updated record of factual business information structured to help AI search engines correctly understand and evaluate your company. SaidTrue offers verified profiles to ensure AI platforms draw from authoritative details.Prompt InconsistencyThe variation in how AI platforms evaluate a business depending on how a customer phrases their question. Monitoring multiple prompt variations ensures a business maintains a positive sentiment profile across different search styles.Monthly AI MonitoringAn ongoing service provided by SaidTrue that periodically scans AI engines to detect shifts in sentiment, visibility, or source citations over time. It allows business owners to catch reputation changes as AI models update.Generative Engine Optimization (GEO)The practice of tailoring a business's online presence so that generative AI systems easily find, accurately understand, and positively present its brand. GEO focuses on influencing AI search answers rather than traditional search result ranks.
Common questions
How does SaidTrue analyze AI sentiment across different AI search engines?
SaidTrue prompts major AI platforms—including ChatGPT, Gemini, Perplexity, and Claude—with actual questions prospective customers ask about your industry. It then evaluates the tone, accuracy, and recommendation strength of the generated answers to calculate your reputation score. Business owners can inspect these findings directly by visiting https://whataisaidabout.com.
Why is AI sentiment analysis important if Google still dominates traditional search?
While traditional search engines remain widely used, millions of buyers now turn to conversational AI platforms for immediate recommendations and company summaries. If an AI model misinterprets your business or uses negative framing, you risk losing prospective clients before they ever reach your website. SaidTrue provides the monitoring tools needed to spot and correct these hidden responses.
Can incorrect or negative AI sentiment be corrected?
Yes, negative or inaccurate AI sentiment can be improved by updating and optimizing the source websites and directories that AI models reference. Establishing a verified AI profile through SaidTrue provides AI engines with accurate, structured information about your brand. You can review available audit and profile options at https://whataisaidabout.com.
How does AI search sentiment differ from traditional customer review sentiment?
Traditional sentiment analysis evaluates reviews or social media posts directly authored by human customers. AI search sentiment analysis measures the tone and accuracy of answers generated *by* an AI engine when summarizing your business for a prospective buyer. SaidTrue specializes in auditing these synthetic search summaries to safeguard your brand reputation.