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AI Visibility 101: How to Run a Weekly GEO Audit That Feeds Your UGC

Buyers are asking ChatGPT who to trust—does your brand show up? Learn the Monday GEO habit with MarketScale's AI Visibility: Audit mentions + citations, pick 1–2 content recs, then ship expert-led UGC in Studio to move from invisible → cited.

Updated today

AI Visibility is MarketScale Studio’s GEO dashboard: it shows whether you’re being mentioned, whether you’re being cited, and (most importantly) what to do next—with content recommendations you can execute inside Studio.

Reference slides & visuals linked below for download.


Why does this matter right now?

Because buyer search has shifted from “clicking links” to “asking an LLM.” If your brand isn’t showing up—or worse, isn’t being cited—you’re invisible at the exact moment buyers are forming opinions.

The new scoreboard is simple:

  • Invisible = not in the conversation

  • Mentioned = the AI knows you exist

  • Cited = your content is used as a trust receipt (the AI uses you as a source of truth)

And here’s the punchline from the workshop: don’t become a reporting team. Become a content shipping team. GEO dashboards like AI Visibility should help you spend your content creation time more wisely.


What’s the weekly habit you should actually run?

GEO Audit → Recommended Content → Film Content → Ship It.

The Monday Morning Habit

  1. Check AI Visibility Overview + Market Landscape

  2. Pick 1–2 high-impact recommendations

  3. Assign an owner + Studio motion (Series / Power Hour / Spotlight)

  4. Ship 1 asset this week

That’s it. That’s the whole game.


What should you check weekly vs monthly vs quarterly?

Weekly (your core checklist)

  • Overview (your radar)

  • Market Landscape (new report; weekly directional check)

  • Content Recommendations (where you spend your execution time)

Monthly (reporting + influence checks)

  • Citations: as you publish new content, check if your sources are shifting

  • Sentiment: it’s auto-filtered to the last 30 days, so treat it as a monthly report

Quarterly (setup / calibration)

  • Prompts: what are they main questions your customers or buyers are asking that you want to gauge visibility against?

  • Competitors: review quarterly at minimum (update as needed)


How do you run the “2-minute Monday audit” without getting lost?

You’re checking three widgets—then moving on:

  1. Mentions trend → spiking or flat?

  2. Share of voice → us vs them

  3. Citations → who is referencing us (and where)

Rule: If you spend 20 minutes here, you’re procrastinating.


How do you avoid useless recommendations?

The setup that makes the tool “smart”

  • Prompts should be real buyer questions, not generic marketing topics.

  • Use “Prompt Research” as-needed to add new prompts when your market shifts.

  • Keep competitors current (quarterly minimum).

WARNING: Generic prompts → useless recommendations.

High-value prompt sources (steal this list):

  • Sales call objections

  • Support tickets / onboarding friction

  • Competitor comparisons buyers ask for

  • “Why you vs them?” questions in the field


What should you do with Content Recommendations?

This is the differentiator: AI Visibility isn’t just telling you what’s happening—it tells you what to create next.

And it’s now split into two tracks:

  • AI Visibility recommendations (broad GEO-boosting topics + content optimizations)

  • Social & UGC recommendations (community participation + creator-led plays)

Use the 5-Question Filter to Guide Content Decisions

For every recommendation, answer for yourself:

  1. What’s missing? (topic gap or intent gap)

  2. What asset fixes it? (FAQ video, comparison, new page, resource hub, etc.)

  3. Who says it? (SME, customer, partner)

  4. Fastest motion? (Series? Power Hour? Studio Request? Spotlight?)

  5. Definition of done (what does “shipped” look like this week?)

This turns “cool insight” into “assigned work.”


Why is UGC the fastest way to execute recommendations?

Because LLMs reward authentic, expert-led content—and they often cite places where real people are talking (Reddit/YouTube behavior came up repeatedly in the workshop).

Real faces → higher trust → more citations.

Your SME bench:

  • Colleagues = technical deep dives

  • Customers = narrative proof + outcomes

  • Partners = market validation (and extra distribution)

And remember: MarketScale subscriptions include unlimited guest users, so partners can participate directly.


What are the 3 Studio execution plays to map to any recommendation?

Scenario A: Recurring theme → Launch a series

When to use: the recommendation keeps repeating (it’s a “lane”)
Play: pick a content champion → weekly takes → consistent publishing

Fast definition of done:

  • 1 champion + 3 prompts + 3 clips shipped this week

Scenario B: Technical / complex → The Power Hour

When to use: deep technical recs, comparisons, implementation FAQs
Play: recruit an engineer/product SME for 45 minutes → record 15–20 Q&As → ship FAQ clips

Fast definition of done:

  • 1 Power Hour booked + 10 clips captured + 1 FAQ library draft started

Scenario C: Low trust / sentiment gap → Customer Spotlight

When to use: Market Landscape shows weakness on trust/reputation/authenticity
Play: narrative arc = Problem → Solution → Outcome (not “please say nice things about us”)

Fast definition of done:

  • 1 customer booked + 1 story captured + 3 proof clips shipped


What does “recommendation → execution” look like in real life?

Example 1: “Create a YouTube mini-series”

Studio motion: Upload feature or Onsite Video
Template: 3–5 episodes, 1 question per episode, SME host + 1–2 supporting SMEs

Starter prompts you can copy

  • “What’s the #1 misconception about ____?”

  • “When should you NOT use ____?”

  • “3 mistakes we see teams make with ____ (and what to do instead)”

Example 2: “Create a resource hub”

Studio motion: Requests feature (UGC capture at scale)
Hub structure: 3 buckets → FAQ / Comparisons / Proof

Execution plan (one week)

  • Write 5–10 prompts

  • Recruit SMEs (engineer + power users + partners)

  • Launch Requests → collect 10–20 clips

  • Ship: hub draft + first batch of clips


Common mistakes that kill momentum

  • Watching dashboards instead of shipping assets (classic trap)

  • Generic prompts → generic recs → nothing useful gets created

  • Everything is “brand voice” (no SMEs, no customers, no partners)

  • No definition of done (so nothing gets finished)

  • Trying to fix everything instead of picking 1–2 recommendations/week


Quick takeaway to tattoo on your forearm

Authority wins GEO.


Your job isn’t “get more data on whether LLMs like us”. Your job is: Audit your GEO → pick 1–2 community-powered content recs → recruit real experts → ship at least one useful asset this week.

If you do the Monday habit for 30 days, you won’t just “understand AI Visibility.”
You’ll become the brand that starts getting cited.

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