Why white-labeling AI visibility data matters
When you deliver AI visibility data as "here's your ArtificialPulse dashboard link," you commoditize the service. The client sees the tool, not the agency. They start thinking about whether they could subscribe directly. Bad outcome.
When you deliver AI visibility data as "here's our monthly AI Search Intelligence Report for [Client Name]" - branded with your agency's logo, commentary, and strategic recommendations - you're the intelligence layer. The data supports your expertise. The client sees your value, not the tool's.
What a white-label AI visibility report includes
Executive summary
3–4 bullet points with the headline findings: score movement, competitive position change, key wins, one concern. This is the section the CMO reads; make it scannable.
"Score improved from 41 to 49 this month. You're now ahead of Competitor B for the first time. Google AI Overview visibility is up 15%. Competitor A extended their lead - details in section 3."
AI Visibility Score summary
Current score vs. last month, platform breakdown (ChatGPT / Perplexity / Google AIO), trend chart for the past 90 days.
Score: 49 (↑8 from last month). ChatGPT: 52% mention rate. Perplexity: 61% mention rate. Google AIO: 34% mention rate.
Competitive comparison
Side-by-side scores for the client and 3–5 competitors. Color-coded to show who's ahead, who's behind, month-over-month changes.
Client: 49. Competitor A: 67 (↑3). Competitor B: 43 (↓5) - you're now ahead. Competitor C: 38 (no change).
Query-level highlights
3–5 specific query examples showing where the brand appears (wins) and doesn't (gaps). Makes AI visibility concrete for clients who are skeptical of aggregate scores.
"When ChatGPT is asked 'best project management software for remote teams', you appeared in 7 of 10 queries this month (up from 4). You still don't appear for 'project management software with time tracking' - a gap we're addressing."
What we did this month
List of actions taken: review campaign results, coverage secured, content published, technical changes. This is where you attribute score changes to your work.
"Secured G2 profile featured in 3 new 'best of' articles. Launched review campaign: 23 new G2 reviews (avg 4.8★). Submitted Wikipedia draft for review."
Next month plan
2–3 specific priorities for the next month with expected impact. Sets expectations and demonstrates proactive strategy.
"1. Outreach to 8 industry roundup publishers (expected impact: 2–3 new inclusions). 2. G2 review campaign phase 2 (target: 15 additional reviews). 3. Monitor Competitor A's new content strategy."
White-label setup in ArtificialPulse
ArtificialPulse Agency plan includes white-label report generation:
The report delivery workflow
The total time to deliver a white-label AI visibility report per client: 20–30 minutes of commentary writing plus the automated data generation. At $300–$500/month per client for the service, this is a high-margin offering.
What to call it
The name of the report matters for client perception. Names that work:
Avoid "ArtificialPulse Report" - that names the tool rather than the value. This is the part agencies often miss. Name it after what it delivers.
Start delivering white-label AI visibility reports
ArtificialPulse Agency includes white-label report generation with your branding. Set up takes under an hour.