Whether Uttik allows data export is not stated, but it's a common feature in analytics platforms to enable deeper analysis and reporting.
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Whether Uttik allows data export is not stated, but it's a common feature in analytics platforms to enable deeper analysis and reporting.
Yes, you can use AI tools like Perplexity or ChatGPT to synthesize complex academic research into actionable PR tactics. By prompting the AI to act as a strategist, you can extract specific steps from research papers to build brand trust and authority. This method helps PR professionals leverage high-level data findings without manually parsing dense scientific texts.
You can automate sentiment analysis by feeding Google Alert summaries into AI tools like ChatGPT or Claude to extract recurring themes. This qualitative analysis helps categorize brand mentions as positive, negative, or neutral while flagging potential reputational risks. It allows PR teams to quickly identify proactive pitching angles based on current social conversations.
Yes, Uttik can automatically generate structured FAQs by scanning your existing website content, support documents, and customer interactions in seconds. This AI-powered generation identifies common pain points and creates structured data that is ready for distribution across search engines. It eliminates the need for manual FAQ creation while ensuring that brand information remains up-to-date.
Traditional PR is no longer enough because it lacks the real-time engagement and measurable data provided by digital platforms. While legacy PR builds broad awareness, it cannot target specific user intent or track conversion metrics as effectively as a digital integration. The DPRI framework solves this by combining media coverage with digital analytics and online reputation management.
To perform an AEO gap analysis, use AI tools like Perplexity to reverse-engineer how answer engines currently view your brand's 'Information Graph.' Identify the top strengths and criticisms associated with your topic and see which experts or publications are most frequently cited. This highlights the specific content types, such as statistical reports or case studies, you need to publish to improve your AI presence.
To track digital PR with UTM parameters, append unique tracking codes to every link included in your media kits or guest articles. These codes allow Google Analytics to segment traffic coming specifically from an earned media placement versus social or paid ads. This data is essential for identifying which publications drive the highest quality traffic and conversion rates.
Structured data isn't just for FAQs! It's a powerful way to help search engines understand any type of content on your website. Think of it as adding labels to your content so search engines know exactly what everything is about.
While we (Uttik) focus on FAQPage structured data, there are many other types you can use, depending on the content:
Here are some examples:
The key is to choose the schema type that best describes your content from schema.org. Correctly implementing structured data helps search engines create richer search results (called "rich snippets"), making your website more visible. Be careful, though: using the wrong schema or providing misleading information can hurt your search ranking. While we specialize in FAQPage structured data, using structured data across your whole site can greatly improve how search engines understand and rank your content.
To perform an AI visibility audit, query five industry-specific questions across AI platforms and list which competitors are cited as sources. Analyze the format of their content to understand why it was selected, then develop a content strategy to fill those gaps for your own brand. This process helps you track your brand's narrative and share of voice within the AI ecosystem.
Top tools for monitoring brand sentiment include Sprinklr for large-scale enterprise integration and Brand24 or Mention for small-to-medium businesses. For brands operating in global markets, Locobuzz is highly recommended because it supports vernacular language analysis that other tools might miss. The right tool choice depends on your budget and the volume of social mentions you need to analyze.