— Companies are beginning to realize new problems. It may still show up in search engine results, but it’s no longer mentioned when people ask AI assistants questions. When you ask ChatGPT, Claude, Perplexity, or Google AI for product recommendations, the response is usually one summary. If a brand is not mentioned in that response, it effectively disappears from that person’s consideration. There are no lists to compare, no two pages to scroll through, and no signal to let your organization know it’s been filtered out.
Photo credit: NetRanks
Marketing and communications teams were measuring visibility through rankings, impressions, and website traffic. However, these measures do not indicate how brands are expressed in generative responses, where choices are often condensed and shaped by different information patterns. This shift has led many organizations to ask how they can understand and influence what AI systems say about their companies.
net rank has released a platform update aimed at directly addressing this need. The platform measures how often your brand is mentioned in AI-generated answers, and has tools to help your team interpret the data and make actionable messaging and content changes accordingly.
mentions that AI influences people’s decision making
Research on user behavior shows that more people are turning to AI systems for comparisons and guidance instead of searching through traditional methods. Whether choosing software, planning a trip, or comparing financial services, many users rely on the first answer they receive. When your brand is mentioned, it gains credibility and visibility. If it’s not mentioned, it’s often not considered at all.
NetRanks measures this using a metric called AI Share-of-Voice. This reflects how often the brand is mentioned when related questions are asked. The company reports that this visibility does not necessarily equate to traditional search rankings. Depending on your industry, brands that rank highly in search results may not be mentioned often in the answers generated. This suggests that large-scale language models prioritize different types of information, such as descriptive context and citation patterns, rather than keyword-based signals.
For organizations, this difference can impact how customers shortlist, compare products, and build trust during initial research.
Turn visibility data into next steps
It’s helpful to know if your brand is mentioned in the AI’s response, but it doesn’t explain why those mentions occur. NetRanks’ updated platform analyzes the prompts, expressions, and contexts in which mentions appear or don’t appear. This identifies common patterns and indicates specific areas where your brand messaging, documentation, or external references can impact your results.
This does not include modifying or manipulating the AI model. Rather, the focus is on improving the clarity and availability of the information that the model elicits.
Reha Sönmez, founder and CEO of NetRanks, directly explained the intent of the update: “Many brands were able to measure where their brand was appearing. They didn’t know what to do next. The new release connects data to actionable steps that will impact how they are represented going forward.”
This update is expected to be most useful to communications teams, PR groups, and marketing strategists responsible for shaping how their organizations are understood in the public domain.
Responding to a crowded and changing market
Many companies now offer tools to report on how your brand appears in AI answers. However, most of these tools focus only on measurement. NetRanks’ move to connect measurement with recommended messaging adjustments is an attempt to address what many organizations perceive to be a missing piece: how to act on the information collected.
According to NetRanks, the challenge is easy. “Organizations are starting to realize that AI answers can influence real-world decisions,” said Founder and CEO Reha Sönmez. “They want to know how that answer is formed and how to adjust communication as needed.”
As interactions move from typed search queries to conversational requests, being clear about how your brand is described can become increasingly important.
Moving from discovery to nomination
Generation engine optimization is still a developing field. There is no widely agreed upon method, and most organizations are in the early stages of monitoring visibility in AI responses. But the trend is clear. If generative answers are going to be the primary way people learn about your product or service, it’s important that those answers include names.
NetRanks’ platform updates allow organizations to track and respond to these patterns in a structured way. For marketing teams adapting to the shift from search results to summarized answers, work isn’t just about being found, it’s also about being mentioned.
Contact information:
Name: Reha Sonmez
Email: Send email
Organization: NetRanks
Website: https://www.netranks.ai
Release ID: 89185078
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