Large language models are increasingly being used for searches across the web. LLMs are like the middleman qualifying brands and synthesising answer for the consumers. The tech has shifted from 10 blue links to answer engines, user behaviour has shifted from web browsing to direct consumption of information.
Consumer’s agency to browse, pick and choose has minimised to a great extent. They only sees what AI shows them. If your brand is a part of the answers AI provides to user’s query then that’s your visibility, else you are loosing out to your competitors.
Discoverability Engine helps businesses know
Are LLMs mentioning them in response to relevant user query
If LLMs are mentioning them then what is that they are saying
Are they mentioning the correct products and services
What is the sentiment about the brand in LLMs, positive, negative or neutral
What is the brand’s share of voice against the competitors
What links are being cited for the brand, and a lot more
It is important for businesses to know what the AI black box is saying about them. The key reasons for the same are -
Brand Sentiment, Narrative and Perception in the Market:
AI systems do not use just the brand’s official website as its data source. It assembles its answers from a range of unstructured data across the web which includes reviews, news, communities, forums and more. Tracking AI visibility and sentiment with Discoverability Engine helps identify whether LLMs accurately portray what the brand is all about, it’s value propositions, products and services, USP.
LLMs mentioning the brand is one thing, it is also important to know whether the information given is positive and accurate, outdated, inaccurate or a negative impression upon the consumers.
Protect Against “Zero-click” Search Losses
Searches today are resulting in zero clicks. If the consumer is using search engine, then most of the information is available directly with AI Overviews and AI Mode, without the user having to click upon a link to further read.
Most of the information required by the consumers, is either present in AI Overview this means whatever information the consumer is looking more is available within the answers itself without them having to go to a certain webpage and read further.
If a brand is not present within AI generated answers then it becomes invisible at the initial research as well as evaluation phase of the buyer journey. Discoverability engine helps brands monitor their mention rate and visibility rate across all major LLMs present.
Monitoring Share of Voice vs. Competitors
AI Visibility metrics within Discoverability Engine helps benchmark brand along side its key competitors for relevant prompt queries. Understanding which competitors consistently get cited in responses and which newer ones are eating into the market share helps team understand their competitive space.
Share of voice insights also helps brands understand the gaps in their authority on specific subjects, gaps in their visibility on specific platforms, gaps in their intended sentiment and overall digital presence. It allows marketing teams to take actions backed by insights.