How much is Sweetgreen associated with a ‘healthy diet’ or ‘organic farming’? Or Tesla with ‘electric vehicles’ or ‘product recalls’? Or TikTok with ‘cyberbullying’ or ‘UGC’?
With access to 880+ topics trained on the Signal AI platform, you can quickly and easily answer the strategic reputation management questions that are top-of-mind:
- Which topics are my brand associated with?
- What topics are percolating in my sector that we should know about?
- How can we better measure our reputation against our peers?
- How are others in my industry performing related to this topic?
- What are the whitespace opportunities we should lean into, and where are their reputational risks?
We’ve now trained an additional 155 reputation topics on the platform for more in-depth and actionable insights. Let’s explore what exactly we mean by AI-trained topics and how this enhances your experience.
How does Signal AI train topics?
A topic is an AI-trained model intended to surface highly relevant content rather than smaller passing mentions of an area of interest. For example, an article that doesn't mention the keyword Sustainability but is about a sustainable product launch will be surfaced when using the topic Sustainability.
Signal AI replaces the need for tedious Boolean keyword search by making it possible to search for a topic (or entity) instead of searching for every variation of that topic. For example, you search with our topic ‘Diversity in the workplace’ for every news story on the issue without having to string a thousand-word keyword search for all the terms you might associate with it.
Using our proprietary AIQ engine powered by retrieval-augmented generation (RAG), AIQ really understands topics in context, going beyond just keywords to surface those important signals in the noise, ranking the topic by salience, and de-duplicating that coverage.
AIQ is the brain behind Signal AI’s risk and reputation intelligence solutions. The more interactions that occur with AIQ, the more it understands and anticipates needs. It effectively can tell the difference between a brand name and an everyday object with the same name: consider Apple the company and apple the fruit.
For an in-depth exploration of how Topic Analysis works, read more here.
Explore new granular topics like ‘Business resilience,’ ‘Free speech,’ ‘Patient centricity,’ and much more…
To help you understand detailed dynamics, we've added 90 new topics relevant to all industries for broader topic analysis. We've increased topical coverage for more industry-level depth across sectors critical to many of our users, including Life Sciences, Aerospace and Defense, Finance, and Entertainment.
These newly trained topics will be available to use across the Signal AI platform, including in Searches, Dashboards, Topic Analysis, and more. Signal AI helps you clarify:
- Top topics for your brand
- Unique topics for your brands
- Unique topics associated with others (competitors or peers)
- Contested topics with your brand winning
- Contested topics with your competitors winning
Take, for example, the topic of ‘Supply Chain Stability’ for top automotive luxury brands using a landscape analysis in the visual below:
With 155+ new topics to explore, you can understand in-depth your brand perception and performance. Read more about how Topic Analysis can eliminate the narrative guesswork for your brand.
Topic analysis at work
Take into consideration how SThree used Topic Analysis to discover its strongest associations—and those of its competitors—to create a winning thought leadership report.
In SThree’s report discovery phase, Signal AI’s AI-powered analytics helped Harriet Midwood, a researcher at SThree, augment and strengthen her research approach to the evolving STEM landscape. The new way of approaching previously contested and saturated topics helped unlock bolder and more unique findings, ultimately earning the campaign more press coverage in top-tier media sources.
Or, explore our Signal AI 500 Reputation Ranking, which analyzes the world’s most talked about companies for key topics across three reputation pillars: Innovation, Performance, and Purpose.
Curious to learn more about Signal AI’s topic analysis capabilities? Request a demo to see it for yourself.