With over 20 years of experience, we transform your digital presence. We specialize in website and E-Shop development, SEO and Digital Marketing, ERP software and smart automation that take your business to the next level.
How to measure the voice share of artificial intelligence
Read how voice share measurement with AI can take your brand to the next level. Learn the benefits of ai share of voice, how it compares to the competition and what tools and strategies ensure improved digital strategy, increased brand awareness and market share growth in a dynamic digital marketing environment.
Share of voice, and in particular ai share of voice, is one of the most important indicators for brands that want to assess their market position and strengthen their presence in digital channels. Share of voice measures the percentage of conversation or exposure a company or product receives compared to its competitors through various channels, such as social media, organic search results (SEO for e-shop), paid advertising and digital marketing tools in general.
With the development of new technologies, the measurement of voice share has changed, especially with the integration of artificial intelligence systems, which allow the monitoring of huge amounts of data in real time. This offers professionals and owners online shops a clear map to monitor how brand awareness is evolving and identify opportunities to improve marketing strategies.
How to measure voice share using artificial intelligence
The ai share of voice (ai share of voice) measurement incorporates intelligent tools that analyse data from different online platforms. Reliable ai share of voice provides answers about where and how the brand is being mentioned, measuring not only the volume of interactions, but also the sentiment or positive/negative direction of mentions.
Step-by-step guide to measuring ai share of voice
Definition of the objective: Clarify whether you want to track share of voice in a specific channel (e.g. Google organic results or social media) or overall.
Choice of analysis tool: tools such as SEMrush, Brandwatch or Sprout Social use artificial intelligence for real-time calculation of share of voice.
Defining keywords: use keywords that are related to your brand or products, and compare them with those of your competitors.
Data collection and analysis: AI tools collect data from organic results, ads and social media and analyse the reports.
Synthesis and reporting results: consider the percentage of voice share, trends and insights for your strategy.
A practical example: An e-shop selling sneakers wants to see how many mentions its brand receives on Instagram compared to its two biggest competitors. It integrates relevant keywords into the AI platform tracker and sees that its brand has 25% of the total share of conversation for a particular product, compared to 35% and 40% for competitors.
How to leverage voice share for competitive advantage
The voice share measurement is not just a report. In fact, it is the basis for competitor analysis, optimizing marketing strategies and monitoring brand performance. If you detect a drop in voice share, for example, it could mean that competitors are spending more on advertising or running more modern campaigns.
Link to brand awareness measurement & market competition
Voice share is directly linked to brand awareness. A higher share of voice means higher visibility and a stronger presence. These insights contribute to redefining positions in the competitive marketplace and generating ideas for increasing market share.
Statistics show that brands that regularly monitor ai share of voice and adjust their strategy show an average increase of 20%-30% in organic traffic and 12% in product awareness over 12 months (Source: SEMrush Market Research, Brandwatch Reports).
Voice share analysis and monitoring tools
The use of specialized market analysis tools enhances the reliability of voice share data. Services such as SEMrush, Ahrefs, Social Mention and Sprout Social offer integrated solutions for tracking organic results, paid advertising and social mentions. AI in marketing through these capabilities makes collecting and understanding large volumes of data feasible even for small and medium-sized businesses.
For example, SEMrush allows you to define specific competitors and keywords, but also to monitor long-term trends in voice share over time to see how the value of your brand is evolving compared to the competition.
Tips for improving voice share through best practices
Increasing voice share requires a combined approach. It is recommended to leverage SEO for e-shop, well-planned social campaigns, effective content promotion and regular analysis of competitive offers. Focusing on the right keywords and leveraging AI techniques for sentiment analysis increases accuracy in measuring digital presence.
For example, a brand launching a new product can aim to increase ai share of voice through influencer marketing, interactive ads and content that responds to current trends. At the same time, continuously evaluating the performance of your efforts allows you to adjust your digital strategy to maximize results.
Share of voice as a compass for growth in digital marketing
Voice share is a reliable tool for evaluating and defining strategy in today's market. Through ai share of voice measurement, professionals have opportunities to gain a meaningful understanding of their positioning, while adopting the right tools and practices paves the way to improving marketing effectiveness and strengthening brand awareness and increasing market share. Share of voice is now emerging as a must-have indicator for any digital marketing professional who wants to stay ahead of the competition.