Heather Asks: "Any chance you guys could release an SOP of the process you highlighted in the AEO training of how you tracked AI chat mentions" · AEO

Heather Asks: "Any chance you guys could release an SOP of the process you highlighted in the AEO training of how you tracked AI chat mentions"

The Full question that

@Heather Philipp

asked was:

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@Julian Lopez

I´ve been scanning the calls for mention of a good LLM citing reporting tool. SEMRush seems buggy and expensive. Any chance you guys could release an SOP of the process you highlighted in the AEO training of how you tracked AI chat mentions, etc. We really need an accurate reporting tool - and would be nice to not have to spend time recreating the wheel. :)

@Sammar Wamiq

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My answer:

@Heather Philipp

Buggy & Expensive seems to be the standard for AI Visibility Tools!

We haven't really picked one to recommend because there's just too many ways to address this, and since these tools are based on "guessed" queries that customers may ask and not really a reference of volume, we cannot trust them so much if they claim to have exact volumes or validated queries.

What we can do is infer by selecting our business target keyword "Digital marketing agency" but adding the types of modifiers that should lead to your business specifically in natural language, i.e:

"Digital Marketing Agency for multi-location hvac home services in Montana"

That's what AI is allowing users to find and we should optimize for that type of long-tail solution aware queries

We have outlined a Visibility Diagnostic Test (Baseline Setup Checklist) on our "Baseline Setup" call that you can follow to adress initial organic performance and build your ongoing tracking of queries:

Part 3: The Visibility Diagnostic Test

This section is the reference point to assess current impact and performance. All Optimization should start with this baseline.

1. Branded Search Visibility Baseline (Google) 🔍

Action: Search for "Your Brand Name".

Rule of thumb: The stronger, more connected entity wins.

2. AI Entity Understanding Baseline (ChatGPT/LLMs) 🤖

Action: Ask a generative AI (like ChatGPT), "What does [My Brand] do?" This tests your Entity Understanding.

If the AI can't describe your business accurately, you have a "Gap of Understanding" that needs fixing.

3. Relevant Commercial Queries Baseline (Competitive) 📈

Action: Create a list of 5 questions your ideal customer would ask before they know you exist (e.g., "Best CRM for remote dental practices," "top hiking boots for wet climates").

Most Importantly: Who is being recommended?

This is the most basic one that highlights the focus on long-tail solution aware commercial queries that are the ones that "should" recommend your business, with these you can track which brands are being recommended, what citations (sourced links) are being checked to build these recommendations and adjust your strategy accordingly.

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