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Platform · AI Visibility

The visibility score that tells you exactly where you stand — and exactly what to do.

A transparent, reproducible score with full drill-down to the underlying responses, prompts, and AI engines that produced it.

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The problem with visibility scores

Most visibility scores are a black box.

You see a number, nothing else

A score without methodology is just a number. You can't tell if 47% is good, bad, or stable — and you can't reproduce it when leadership asks questions.

No drill-down

Aggregate scores mask what's actually happening. A single weak AI engine or one underperforming prompt group can drag the whole number down invisibly.

Can't argue the methodology

When your score drops 12 points, you need to explain why. Black-box scores leave you with no answer. GrackerAI gives you the full audit trail.

How the score is calculated

Three levels. Fully transparent.

We compute visibility at every level — from individual AI responses up to your full portfolio — so you always know what's driving the number.

1

Per-response visibility

For each AI response, did your brand appear? With what prominence?

0% Brand not mentioned
~% Mentioned alongside others, weighted by position
100% Dominant or only brand mentioned
2

Per-prompt visibility

Average across all responses to the same prompt across all selected AI engines, over the time window.

3

Per-portfolio visibility

Aggregate across all prompts, weighted by your prompt mix.

47%Overall Score

Score by engine

Claude
58%
ChatGPT
52%
Perplexity
41%
Gemini
38%
What's a good score?

Context matters more than absolute numbers.

Here are the benchmarks we see across hundreds of B2B SaaS and cybersecurity customers.

Score rangeWhat it means
0–10%Invisible. Significant content investment needed.
10–30%Emerging presence. AI engines know you but don't lead with you.
30–55%Competitive. You're a regular option in AI answers.
55–75%Strong. AI engines lead with you in many responses.
75%+Category dominance. Protect aggressively.

For B2B SaaS startups in their first 90 days, a 0–10% baseline is normal. Cybersecurity vendors with established CVE/compliance content often start at 15–25%.

Sentiment, baked in

Visibility without sentiment is half the picture.

A brand mentioned 100 times negatively is worse off than one mentioned 50 times positively. Every visibility score includes full sentiment context.

Sentiment trend

Is AI describing you more or less favorably over time? Track direction, not just snapshot.

Sentiment by engine

Some AI engines describe your brand differently than others. Know where you're winning and where framing is a problem.

Comparative sentiment

How does AI frame you vs. your top competitors on the same prompts? Spot the framing gaps before they compound.

Sentiment trend — 90 days ↑ +14pts after content launch
Week 1 Content launch ↑ Week 12
AI Search Ranking Insights

Your position in the list matters as much as your inclusion.

Many AI responses are listicles — "top 10 EDR tools," "best SSO platforms." GrackerAI tracks ranking position for every listicle response across all engines.

1st place — AI's recommended choice

The engine leads its response with your brand. The highest-value citation position — and the one competitors fight hardest to take from you.

2nd–3rd — Strong consideration set

You're in the shortlist but not leading. Buyers will see you, but another brand is being recommended first. Closeable gap with targeted content.

4th–7th — Mentioned but not promoted

Present in the response but not actively recommended. AI includes you for completeness, not because it sees you as the best fit.

8th+ — Background mention

Technically cited but functionally invisible. Buyers rarely read this far. Treat this the same as not appearing at all.

Ranking position across listicle prompts
1st 2nd–3rd Not listed
ChatGPT
Perplexity
Claude
Gemini
Copilot
Grok

Each column = one listicle prompt. Color = rank position across 6 AI engines.

Trend analysis

Catch problems before they compound.

Visibility scores fluctuate. 5–15% week-over-week movement is normal. A 15+ point drop in 7 days warrants investigation. GrackerAI surfaces the signal.

Sustained declines

Multi-week drops that suggest a real problem — a competitor publishing aggressively, an AI model update that changed citation patterns, or content going stale.

Sudden drops

Single-week shocks, often caused by AI model updates. GrackerAI flags these immediately so you know it's a platform change, not a content problem.

Sustained gains

Multi-week visibility increases validate content investments and confirm that your strategy is working. Reinforced with specific prompt-level evidence.

Plateau warnings

Flat lines that suggest your content has stopped moving the needle. Time to refresh, expand prompt coverage, or try a new angle.

Reporting that leadership actually reads

Three cadences. One source of truth.

Weekly status

5-minute Slack summary for the team. Visibility delta, top movers, and one action item — done.

Monthly leadership report

1-page PDF for VP/CMO. Score trend, competitive position, and business impact metrics in a format executives can act on.

Quarterly business review

Full deck with YoY comparisons. Designed for board and executive presentations with benchmark data included.

Customer proof

Real results from real teams.

What teams use AI Visibility for

1

Track exactly which AI engines mention you — and which don't — across every prompt in your monitoring library

2

Catch visibility drops within 24 hours before they compound into pipeline problems

3

Report AI visibility to leadership with a score they can track week over week — not a black-box metric no one trusts

4

Correlate AI visibility gains with pipeline impact — proving the ROI of GEO investment to the CFO

"
"The ability to track AI citations and measure their impact on our pipeline has been invaluable. GrackerAI provides the clarity and results that modern GTM teams need."
+69% AI Visibility
+41% Business Impact
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