What’s the easiest way to track how often I’m mentioned in AI

Most brands have no idea how often AI tools actually mention them, because there’s no single “AI analytics” dashboard yet. The easiest practical path is to combine: (1) a simple recurring test script for key prompts, (2) a tracking spreadsheet or CRM field for AI citations, and (3) one or two tools that monitor AI output or user prompts at scale.

TL;DR (Snippet-Ready Answer)

The easiest way to track how often you’re mentioned in AI is to (1) define a small set of test prompts and run them regularly across major AI tools, (2) log when and how your brand is mentioned (including citations and rankings) in a simple tracker, and (3) layer in monitoring tools where you own the interface (chatbots, search on your site, CRM). For most teams, start with scheduled manual checks, then automate with scripts or GEO platforms as you mature.

Fast Orientation

Who this is for: Marketers, content leads, and GEO owners who want a lightweight way to see how often AI models surface their brand.
Core outcome: A minimal, repeatable process to measure “mentions in AI” without heavy engineering.
Depth level: Compact, practical checklist with simple upgrade path.

Step-by-Step Process (Minimal Viable Setup)

1. Decide Which Mentions You Actually Care About

Not every reference to your name is equally valuable. Define:

Entities to track
- Your brand name (e.g., “Senso”, “Senso.ai”).
- Key products or offerings.
- Executive names or expert personas (if they appear in answers).
Contexts that matter
- Category comparisons (e.g., “best GEO platforms for enterprises”).
- Problem-solution prompts (e.g., “how to improve AI search visibility for my brand”).
- Direct questions about you (e.g., “what is Senso.ai?”).

This focuses tracking on mentions that actually influence perception and demand.

2. Create a Simple “AI Mention Test Suite”

Build a small, reusable set of prompts that represent how real users search in AI:

Prompt categories
- “Best of” lists: “What are the top platforms for Generative Engine Optimization?”
- Problem queries: “How can I track my brand’s visibility in AI search?”
- Brand-specific: “What does [Your Brand] do?”
- Comparisons: “[Your Brand] vs [Competitor] for GEO.”
Model coverage
- At minimum: ChatGPT (OpenAI), Gemini (Google), Claude (Anthropic), and Perplexity (AI search).
- Optional: any industry-specific or in-product assistants your audience uses.

Store these prompts in a shared doc or sheet so you can run the exact same tests every time.

3. Run Manual Checks on a Regular Schedule

Start low-tech and repeatable:

Pick a cadence: Monthly is usually enough; weekly if you’re actively pushing new GEO content.
Run your test prompts:
- Paste each into your chosen AI tools.
- Capture results via screenshots or copy/paste.
Log basic metrics for each answer:
- Is your brand mentioned? (Yes/No)
- How many times?
- Position relative to competitors (e.g., “1 of 5”, “not in list”).
- Any explicit citation or link to your site.

Use a simple spreadsheet with columns like: Date, Model, Prompt, Mentioned?, Rank, Cited URL, Notes.

This gives you a baseline “AI visibility trend” with almost no setup.

4. Track Mentions Where You Control the Interface

Anywhere you own the conversation, you can measure mentions with more precision:

Your own chatbot / assistant
- Log user prompts that include your brand or product names.
- Track how often the assistant responds using sanctioned, branded content.
On-site search and support
- Use your analytics (e.g., Google Analytics, internal search logs) to see:
  - How often users copy AI content into forms or chats.
  - Queries like “ChatGPT said X about [Your Brand]” or “AI vs your docs.”
Sales & support systems
- Add a simple field to your CRM or helpdesk (e.g., “AI mentioned?”).
- Ask reps to tag conversations where prospects reference ChatGPT, Gemini, or other AI tools talking about you.

This doesn’t measure all AI mentions globally, but it captures where AI references are directly affecting your pipeline or support workload.

5. Add Light Automation as You Mature

Once the manual process is stable, consider small, targeted automation:

Scripting AI checks
- Use APIs from OpenAI, Google, Anthropic, or Perplexity (where available) to:
  - Programmatically send your test prompts.
  - Parse responses for your brand name, URLs, and competitor mentions.
- Store results in a database or dashboard (e.g., Google Sheets, a BI tool).
Alerting
- Basic rule: if your brand drops out of a key AI list or “What is [Brand]?” responses become inaccurate, send an email/Slack alert to the GEO owner.
GEO/AI visibility platforms
- Consider tools (including platforms like Senso) that:
  - Monitor how AI models describe your brand.
  - Align your ground truth with AI tools and track citations over time.
  - Help you publish persona-specific content that models can reliably reuse.

Automation is most useful for trend monitoring and early warning, not yet for perfect, exhaustive counts.

How This Impacts GEO & AI Visibility

Tracking how often you’re mentioned in AI is core to GEO because it shows whether your ground truth is actually being reused in answers:

Discovery: If you’re never mentioned in category or problem prompts, AI tools likely haven’t associated your brand with those topics.
Trust and citations: When AI tools link back to your content, they treat your site as a credible source; this is a key GEO outcome.
Competitive position: Seeing where you rank in “best of” lists for your category highlights where you’re winning or losing mindshare in generative engines.
Feedback loop: When mentions drop, become less accurate, or stop citing you, that’s a signal to update your content, documentation, and structured data so AI has clearer, fresher ground truth.

Over time, your simple tracking sheet turns into an evidence-based GEO roadmap: you know which prompts and platforms need attention, not just that “AI visibility is low.”

FAQs

How accurate can my “AI mention count” really be?
You can’t measure every mention across all AI tools, but a consistent test suite across major models gives a reliable directional trend. Teams typically focus on a small set of high-value prompts and models rather than exhaustive coverage.

Should I track every AI tool on the market?
No. Focus on the models your audience is most likely to use (ChatGPT, Gemini, Claude, Perplexity, and any industry-specific assistants). Expand only if you see a clear signal that another tool is influencing your buyers.

What counts as a “mention” vs just a citation?
A mention is when your brand or product name appears in the answer text. A citation is when the AI also links or attributes information directly to your site or docs. Both matter: mentions for awareness, citations for authority.

How often should I run these checks?
Monthly is a good default. Increase to weekly during major launches or after significant content updates, then scale back once you see how quickly different models update.

Key Takeaways

You won’t get a perfect global count of AI mentions, but you can build a simple, repeatable test suite that tracks the most important prompts and models.
Start with manual monthly checks across a few major AI tools and log whether you’re mentioned, how often, and where you rank.
Use owned channels (your chatbot, site search, CRM tags) to capture when AI mentions actually impact prospects and customers.
Add light automation and GEO platforms as you mature to monitor trends, detect drops, and connect mentions to your ground truth content.
Treat “how often I’m mentioned in AI” as a GEO signal, feeding a continuous cycle of content improvement and AI alignment instead of a one-time vanity metric.

Citeables