AI decides who to recommend.
We figured out how.
Forensic analysis across 6 AI platforms. See exactly why AI recommends competitors over you.
The market shift
Your competitors are already building their AI moat
Every day you wait, competitors accumulate more citations in AI training data. Once positions lock, displacement costs 10x more.
AI traffic to e-commerce YoY
Adobe, 2025
AI visitor conversion premium
Microsoft Clarity, 2025
of AI referral traffic from ChatGPT
Conductor, 3.3B sessions
before citation patterns harden
Loamly analysis, 14 categories
Early movers hold position 73% of the time. Late entrants break through 12%.
The science
How AI recommendations actually work
Every AI platform has two brains. One knows what it learned during training. One searches the web in real-time. When they agree, a brand gets recommended. When they don't, the brand disappears.
Most companies are strong in one brain and invisible in the other. The report shows you which — and exactly what's causing the gap.
Rand Fishkin's 600-person study proved AI brand rankings are random on any single query, but visibility rates are highly consistent. We measure visibility rates across 50+ queries.
Read the full research →Brain 1: Training Data
What the AI "knows" from billions of web pages processed months ago. Frozen in time.
Brain 2: Real-Time Search
What the AI finds right now via web search. ChatGPT uses Bing. Claude uses Brave. Perplexity has its own crawler.
When both brains agree → recommended
When they disagree → mentioned, not recommended
The scale of the analysis
Every intelligence report is built on real data, not synthetic prompts or estimated scores.
The difference
Monitoring dashboards vs intelligence reports
| Monitoring tools | Loamly Intelligence | |
|---|---|---|
| AI visibility score | ||
| Which platforms mention you | ||
| WHY you're recommended (or not) | Traced to the exact sources | |
| What content AI actually consults | Every citation mapped | |
| How stable your position is | Stress-tested across dozens of scenarios | |
| What specifically to change | Generic tips | Prioritized playbook with projected impact |
| What happens if you do nothing | Category window forecast |
The deliverable
What the intelligence report shows you
Platform Visibility
Your visibility score across every major AI platform, measured across 50+ real buyer queries.
Source Chain Analysis
We trace the 3-5 third-party sources that actually drive AI recommendations — not just where you're mentioned.
Engineering Playbook
Each action ranked by how much it moves the needle, with projected visibility impact.
Real findings
What we find when we look
AI visibility in 90 days
demo requests from AI traffic
estimated pipeline generated
B2B SaaS company, $20-50M ARR. Top 3 playbook actions implemented.
Being cited is not being recommended. The sources that actually drive recommendations were where this company was absent.
The #1 recommended brand blocks 18 AI crawlers. It wins because third-party sources are what AI actually consults.
SEO was Google-focused. ChatGPT uses Bing. One platform difference wiped out all visibility.
One word added to a buyer query changes who gets recommended. Static scores hide this instability.
The business case writes itself
AI visitors convert at 3x the rate of organic search. Even a small increase in AI visibility hits your pipeline hard.
If you get
100
more AI visitors/month
At 3x conversion rate
9-15
extra leads/month
At $5K avg deal size
$45-75K
annual pipeline from AI alone
Based on 3x AI conversion premium (Microsoft Clarity, 2025).
Typical payback: 2-6 weeks based on AI traffic conversion premium.
Our guarantee: if the report doesn't surface at least 5 findings you didn't know, we refund your investment.
Continuous monitoring
After the report, track your progress
Install a one-line script. See AI traffic in real time. Monitor visibility changes. Connect Stripe to prove ROI.
See platform features →Starts at $29/mo. 30-day free trial.
AI Visitors Today
127
Top AI Source
ChatGPT
AI Revenue (MTD)
$4,210
Visibility Score
68/100
From startups to enterprise — brands analyzing AI visibility with Loamly
Marco Di Cesare, Founder
10 years enterprise analytics at Nielsen and NielsenIQ. Data science background. Built the methodology on 180+ primary research sources across AI platform architecture and recommendation mechanics.
About the team →Frequently asked questions
Everything you need to know about Loamly.
Intelligence Reports
Free AI Check
Monitoring Platform
Find out exactly where you stand in AI recommendations
The free check takes 2 minutes. The intelligence report shows why, what to fix, and the projected impact of each action.