GoGlobal · AI Visibility

Know When AI Search Recommends Your Brand

GoGlobal measures brand presence, recommendation position, sentiment, citations, and share of voice across major AI answer engines—then connects every change to the prompts, sources, competitors, and actions behind it.

Compare visibility across major AI models in one workspace

Track trend lines instead of relying on one-off answer screenshots

Move from a visibility gap to the prompt and source that explains it

GoGlobal GEO
AI search intelligence workspace
Product preview

AI visibility overview

Your brand · United States · Last 30 days

Updated today
Visibility
60.2%+8.4%
Avg. position
3.8−0.6
Share of voice
34.7%+5.1%
ChatGPT76% visibility
Gemini63% visibility
Claude57% visibility
Google AI Overviews44% visibility

Visibility is trending up across three of four tracked model groups.

Coverage
Multi-model
Signals
5 core
History
7–90 days

Trusted by users from:

Alibaba
GitHub
Notion
ManusManus
Anker
frontierX
AI search intelligence

A Measurable Baseline for Brand Discovery in AI

AI answers change by model, prompt, market, and time. GoGlobal keeps those variables in one repeatable tracking system so teams can see what changed and decide what to do next.

Visibility baseline

Measure brand presence, recommendation position, mentions, sentiment, and share of voice together.

Model comparison

Compare the same brand and prompt set across the AI platforms buyers actually use.

Change over time

Keep historical snapshots so an optimization can be evaluated against the same baseline.

How AI visibility tracking works

1

Define the market and competitor set

Create a project for one brand, select the target market, and add the competitors that define the real buying set.

2

Build a stable prompt portfolio

Track branded, category, comparison, and problem-led prompts that reflect how customers ask for recommendations.

3

Scan the same scope across AI models

Measure visibility, position, mentions, sentiment, citations, and share of voice without changing the comparison frame.

4

Turn the gap into an action

Open the underlying prompt, cited source, or competitor result and prioritize the most credible next improvement.

Stop guessing whether AI can find your brand. Establish the baseline first.

01

Track the Signals That Explain AI Recommendations

A mention alone does not show whether a brand is winning. GoGlobal combines absolute visibility with recommendation position, sentiment, citations, and competitive share so the team can interpret the result correctly.

Measure brand presence and mention frequency by model and prompt
Separate absolute visibility from relative share of voice
Review position, sentiment, and citation count beside every result

Signals behind the score

Absolute and relative performance in the same view

5 metrics
Brand presence

Appeared in 85 tracked answers

71%
Strong
Recommendation position

Average across visible answers

3.8
Improving
Citation coverage

Answers with a supporting source

64%
Watch
Sentiment

Average classified answer tone

+0.62
Positive
02

Compare Every Major AI Discovery Surface

The same question can produce different recommendations in ChatGPT, Gemini, Claude, Perplexity, Grok, and Google AI Overviews. A shared project keeps those differences visible without splitting the analysis across spreadsheets.

Filter results by model, date range, brand, and market
Use the same prompt portfolio for a fair platform comparison
Identify model-specific wins before they disappear into an average

Visibility by AI model

One prompt portfolio, compared across platforms

6 models
ChatGPT41 of 50 prompts
Gemini34 of 50 prompts
Claude31 of 50 prompts
Grok24 of 50 prompts

Open a model to review the exact prompts behind the difference.

03

Follow the Trend Back to Its Cause

Historical visibility becomes useful when the team can connect a change to prompts, citations, content updates, and competitor movement. GoGlobal keeps those layers in one GEO workspace.

Review 7-, 30-, and 90-day performance windows
Open declining prompts directly from the overview
Preserve report snapshots for later before-and-after reviews

Visibility change queue

Prompts with the largest movement since the previous scan

Needs review
Best AI workflow platforms

ChatGPT · Category recommendation

+18%
Up
Top tools for GEO teams

Gemini · Comparison

−12%
Down
AI visibility software for agencies

Claude · High intent

+9%
Up

One View of Your AI Search Presence

Use a consistent measurement layer across models, markets, prompts, citations, and competitors.

Multi-model tracking

Compare major AI answer engines within one project.

Prompt-level evidence

See the exact question behind each visibility score.

Citation context

Understand which sources support the answer and recommendation.

Trend history

Measure movement across repeatable 7-, 30-, and 90-day windows.

Who Uses GoGlobal AI Visibility

🔎

SEO teams

Add AI answers and citations to the organic visibility picture.

🧭

Product marketers

See how AI describes the product and recommends alternatives.

📈

Growth leaders

Create a baseline before funding a new GEO program.

🏢

Agencies

Track consistent client metrics across multiple projects.

Frequently Asked Questions About AI Visibility

How GoGlobal measures, explains, and operationalizes ai visibility inside its GEO workspace.

Explore GoGlobal GEO Features

Continue from this capability into the related measurement, analysis, and reporting workflows.

Put AI Visibility Into One Measurable GEO Workflow

Start with a brand, market, competitor set, and prompt portfolio. GoGlobal keeps the resulting visibility, citations, sentiment, competitive context, and reports connected.

GoGlobal AI Visibility product interface