Positive Sentiment in AI
When AI platforms describe your brand favorably—how to measure and increase positive tone in answers.
When AI platforms describe your brand favorably—how to measure and increase positive tone in answers.
Systematic monitoring of how AI language models respond to specific queries over time, tracking brand mentions and citation patterns.
The recurring content structures and source types that AI platforms consistently cite when generating responses across queries.
How ChatGPT's answers shape your brand reputation, and how to measure and improve accuracy, sentiment, and positioning in the world's most popular AI assistant.
How Claude portrays your brand in nuanced, long-context answers and strategies for measuring and improving your brand characterization.
How Google's Gemini models and app portray your brand in conversational answers—and strategies to measure and improve your visibility and positioning.
How Google's conversational AI Mode frames your brand, influencing consideration through multi-turn conversations where positioning matters as much as presence.
How Google AI Overviews shape brand reputation through synthesized answers and citations at the top of search results.
How xAI's Grok portrays your brand in real-time, web-aware answers—and how to measure and improve visibility among tech-forward audiences.
How Meta AI presents your brand in social contexts across Facebook, Instagram, and WhatsApp—and strategies to track and improve visibility and tone.
How Microsoft Copilot characterizes your brand across Windows, Edge, and Microsoft 365—and strategies to measure and optimize your reputation where professionals work.
How Perplexity's real-time, cited answers shape brand reputation—and how to optimize inclusion and accuracy.
Optimizing G2, Capterra, and TrustRadius listings with detailed, structured reviews that AI platforms repeatedly reuse.
Structuring content into small, well-labeled sections so AI can parse, understand, and accurately reuse your answers.
Tracking how positive, neutral, and negative tone about your brand shifts across AI platforms and time.
Adjusting visibility metrics by mention tone to reflect quality of exposure, not just quantity, across AI platforms.
The percentage of brand mentions your company receives compared to competitors in AI-generated responses across tracked prompts.
How AI platforms credit sources in their responses—and why accurate attribution drives brand visibility, credibility, and referral traffic.
Using schema (FAQPage, HowTo, Product) and consistent markup to help AI systems parse and reuse your answers.
Publishing on trusted hubs like Medium, Substack, and LinkedIn with extractable structures to increase AI pickup.
Brand references without a clickable link—still valuable signals for AI visibility and branded search growth.
Community platforms like Reddit and Quora where authentic Q&A and expert threads are frequently reused by AI systems.
How your brand's presence in AI answers changes over time across platforms, prompts, and competitors.
When users get complete answers without clicking links—now driven by AI Overviews, AI Mode, and answer engines.