Part of Analytics
Local AI Visibility
How much AI recommends you for local searches
What are LLMs and why do they matter for your business?
LLM stands for Large Language Model. These are the artificial intelligence systems behind tools like ChatGPT, Google Gemini, Claude, and Perplexity. They work by processing enormous amounts of text to learn human language patterns, which enables them to answer questions, generate content, and hold natural conversations.
When a user asks ChatGPT "what's the best project management tool?" or asks Perplexity "which laptop should I buy for graphic design?", the LLM analyzes everything it learned from the web and selects the sources it considers most trustworthy to build its response. If your brand, product, or website doesn't have the right signals, the model simply won't include you in that answer, and your competition will take that spot.
Google AI Overviews is Google's version of this technology: instead of showing just a list of links, it now generates a direct AI-powered answer at the top of search results. This means the first result many users see is no longer a link to your site, but an AI-generated response that may or may not mention you.
In short: LLMs are the new intermediaries between your business and your potential customers. More and more people use these tools to research, compare, and decide what to buy. AuraMetrics helps you ensure that when AI answers questions about your industry, your brand is part of the answer.
What it does
Local AI Visibility measures how much AI recommends a local business. Given name + city + category, it crosses its Google Maps profile (rating, reviews, NAP, booking, local-pack rank) with whether AI assistants recommend it for local searches. A local AI-readiness score.
Why it matters
When someone asks ChatGPT 'best dentist in Brickell', the answer is built from GBP profiles, reviews and directories, not your website. For local businesses without strong content, this is the AI-visibility lever no other module covers.
How it works
It queries Google's local pack (DataForSEO Maps) for your category in your city: your rating, review count, NAP and your position vs competitors. Then it runs local prompts ('best <category> in <city>') across your plan's AI models with location bias and detects whether they mention or recommend you. The score combines profile strength, local rank and AI presence.
Metrics you get
Recommended use cases
Frequently asked questions
Do I need a website?
No. This module is local-first: it's based on your Google Maps profile and how AI names you, not your site.
What counts toward the score?
Your GBP profile strength (rating, reviews, NAP, booking, photo), your local-pack rank, and how much AI recommends you in local searches.