LLM Visibility Tracking and AI Citation Reports

Monthly, hands-on testing of the real prompts your buyers use across ChatGPT, Perplexity, and Gemini, tracked over time, not a one-off spot check.

LLM visibility tracking: man working on a laptop surrounded by AI and data icons, tracking brand citations in large language models

Part of the full Generative Engine Optimization service. See everything included there.

I OPTIMISE FOR
Google Search AI Overviews ChatGPT Perplexity Gemini Google Maps Claude Core Web Vitals Schema
WHAT'S INCLUDED

What LLM Visibility Tracking Includes

Real Prompt Testing

Testing the specific way your actual buyers phrase questions, not a generic keyword list.

Multi-Model Coverage

Checked separately across ChatGPT, Perplexity, and Gemini, since citation behavior genuinely differs between them.

Competitor Citation Comparison

Seeing exactly who gets named instead of you today, and for which specific prompts.

Month-Over-Month Tracking

A consistent baseline of prompts re-tested every month so you can see real movement, not noise.

Citation Gap Reporting

A clear report on which prompts cite you, which don't yet, and what's realistically needed to close the gap.

Prompt Library Design

A fixed set of real buyer prompts, branded and unbranded, built around how your customers actually ask AI assistants.

PRICING

LLM Visibility Tracking Pricing

Exact scope depends on your current setup and competitive landscape, confirmed after a free audit, not sold as a generic package.

No package sold before a real look at your specific situation.

Monthly LLM citation tracking Custom quote, monthly
Baseline prompt audit Included, free
First tracking report Delivered within 5 business days
HOW IT WORKS

How LLM Visibility Tracking Runs

01
Build the Prompt Set

Identifying the real questions your buyers actually ask an AI assistant.

Days 1-5
02
Baseline Test

Running every prompt across ChatGPT, Perplexity, and Gemini to establish where you stand today.

Days 6-7
03
Monthly Re-Test & Report

Re-running the same prompts every month and reporting exactly what changed and why.

Every month
WHO THIS IS FOR

Is LLM Visibility Tracking Right for You?

Good fit

  • You want a real, ongoing answer to “are we visible in AI search”
  • You have budget for consistent monthly tracking, not a one-off snapshot
  • Your technical and content SEO work is already underway or done

Not the right fit yet

  • You want a single one-time report with no ongoing tracking
  • You have no interest in acting on what the tracking finds
  • You expect a guarantee of specific citations from specific models

LLM tracking guide

How LLM Visibility Tracking Works

What is measured, how the prompt set is built, and how tracking turns into more citations.

Citations vs mentions

A mention is when an AI assistant names your brand in its answer. A citation is when it links to or lists your page as a source. Both matter: mentions shape what buyers think, and citations send traffic and show which of your pages AI tools trust.

What gets measured

  • Mention frequency across the prompt set, per engine.
  • Position in the answer: first recommendation, one of several, or a footnote.
  • Share of voice against named competitors.
  • Cited URLs: which of your pages, and which third-party pages, the answers rely on.
  • Sentiment and accuracy of how you are described.

How the prompt set is built

Prompts come from how your buyers actually ask: informational questions, comparisons (“X vs Y”), local searches (“best clinic near me”), category searches (“top SEO tools for agencies”) and branded checks. The same set is re-run every month, so changes reflect real movement rather than different questions.

Why answers change from run to run

AI assistants personalise and randomise answers, and their models and sources update regularly. That is why one-off checks mislead. Tracking runs each prompt consistently and looks at trends across months instead of single answers.

AI referral traffic in GA4

Visits from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com can be segmented in Google Analytics 4. Tracking these referrals alongside citations shows whether AI visibility is turning into visitors and leads.

From tracking to more citations

Each report ends with a citation gap list: prompts where competitors are named and you are not, and the sources those answers rely on. Closing those gaps feeds into GEO work: clearer entity data, stronger third-party mentions and content structured for extraction.

Common mistakes

  • Testing only branded prompts, which hides whether you are recommended to new buyers.
  • Judging visibility from a single answer instead of a trend.
  • Tracking one engine only, when buyers use several.

Who it suits

Brands whose buyers ask AI assistants for recommendations: SaaS, professional services, healthcare, e-commerce and local businesses. It can run standalone, or as the measurement layer of a GEO program.

Tools used

Direct, logged-out testing in each AI assistant using a fixed prompt set, a structured tracking sheet for mentions, positions and cited URLs, Google Analytics 4 for AI referral traffic, and Search Console for branded search trends.

Questions to ask any AI visibility provider

  1. Which engines do you test, and how often?
  2. Do you track branded and unbranded prompts?
  3. Can I see the exact prompts and raw answers?
  4. How do you account for answer variation?
  5. What do you recommend when a competitor is cited instead of me?
FAQS

LLM Visibility Tracking Questions

01 Is there an automated tool for this?

Not a reliable one yet. Every prompt is tested manually, by hand, since no automated GEO rank tracker has proven accurate so far.

02 Which AI models do you track?

ChatGPT, Perplexity, and Gemini by default, since they have the largest usage share, other models can be added on request.

03 Can this run standalone, without the full GEO service?

Yes, LLM citation tracking is available as its own monthly service for businesses that just want visibility into where they stand.

04 How much does citation tracking cost?

Quoted after a free baseline audit, since pricing depends on how many prompts and models need ongoing tracking.

05 What is the difference between an AI citation and an AI mention?

A mention is your brand named in the answer. A citation is your page shown or linked as a source. Both are tracked separately.

06 Can you guarantee my brand gets cited in ChatGPT?

No one can guarantee AI citations. Tracking shows exactly where you stand and which gaps to close, and GEO work improves the odds.

07 Why does ChatGPT give different answers to the same prompt?

Answers vary with wording, location, memory and model updates. Tracking uses a fixed prompt set over time so trends are reliable.

08 Can Google Analytics 4 track traffic from ChatGPT and Perplexity?

Yes. Referrals from AI assistants can be segmented in GA4 and reported alongside citation data.

09 Which prompts should my brand track?

A mix of branded, category, comparison and local prompts based on how your buyers actually search. The baseline audit builds this set with you.