Intro You can’t improve what you don’t measure. Annova Digital’s AI & LLM Visibility Tracking gives you clear, ongoing insight into how — and whether your brand appears across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews. As more buyers research through AI assistants instead of traditional search, this visibility has become a critical, largely untracked blind spot for most businesses.
Who This Is For
Brands wanting to understand their presence in the emerging AI search landscape
Marketing teams needing data to justify GEO/AI-SEO investment
Companies concerned about inaccurate or outdated AI-generated brand information
Businesses wanting to benchmark against competitors in AI-generated answers
What We Track
Brand Mention Frequency — how often your brand appears across major LLMs for relevant queries
Citation Accuracy & Sentiment — whether AI descriptions of your brand are accurate, outdated, or negative
Share of Voice vs. Competitors — how often you appear compared to key competitors in the same answers
Prompt-Level Visibility Testing — mapping which specific questions and prompts surface your brand
Source Attribution — identifying which websites and content LLMs are pulling from when mentioning your industry
Trend Tracking Over Time — monitoring visibility shifts as models update and your content improves
Why It's Critical
AI engines are rapidly becoming a primary research and discovery channel, especially for considered purchases. Without visibility tracking, you’re flying blind on an entire, fast-growing category of “search traffic” — and may not know if AI is misrepresenting or omitting your brand entirely until it’s already cost you customers.
Our Process
Define the query set that matters most to your business (branded, category, comparison queries)
Run baseline visibility testing across major LLMs
Establish ongoing monthly tracking and benchmarking
Feed insights into GEO and content strategy for improvement
Re-test and report on progress over time
Why Annova Digital We built our tracking methodology specifically for the AI-search shift not a repurposed traditional rank-tracking tool relabeled for AI. It’s designed from the ground up around how LLMs actually retrieve and cite information.
We can’t directly edit AI outputs, but we can improve the underlying data and content signals that AI models draw from, which corrects misinformation over time.
