CapstonAI is an AI visibility platform that helps brands track, audit, and optimize their presence in AI-generated answers. It monitors how your brand is mentioned across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, then provides actionable fixes to improve your share of voice in AI search results.

How does CapstonAI track AI visibility?

CapstonAI sends structured brand queries to multiple large language models (LLMs) on a recurring basis and records whether your brand is mentioned, cited, or recommended. It aggregates these results into a GEO score, a share-of-voice metric, and a citation report.

Which AI models does CapstonAI monitor?

CapstonAI currently monitors ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity, and Google AI Overviews. Coverage is continuously expanded as new AI search surfaces emerge.

CapstonAI offers a free WordPress plugin that provides basic AI visibility scanning for your site. For full AI visibility tracking, audit reports, automated content fixes, and multi-brand monitoring, the Core Plan is available at $99/month.

How is CapstonAI different from Semrush or Ahrefs?

Semrush and Ahrefs are built for traditional search engine optimization. CapstonAI is purpose-built for the AI search era: it tracks your brand presence inside AI-generated answers from ChatGPT, Claude, Gemini, and Perplexity.

White Label GEO Platform 2026: How To Resell AI Citation Tracking + Optimization Under Your Brand

White Label GEO Platform 2026: How to Resell AI Citation Tracking + Optimization Under Your Brand

Building a GEO tracking platform from scratch costs $400k-$900k and 9-18 months (CapstonAI internal benchmark vs. 3 partner attempts). White labeling a proven platform takes 2 weeks and starts at $0 setup with revenue share. In Q1 2026, 47% of agencies adding a GEO line chose white label over build-from-scratch (CapstonAI partner survey, n=68 agencies). The math is simple: you sell the outcome (citation lift), the platform delivers the tooling, you keep the margin. Here’s the complete how-to for evaluating, branding, and deploying a white label GEO platform in 2026.

TL;DR: Launch a white-label GEO offering by: (1) picking a platform with full branding control (logo, colors, domain, email), (2) confirming reporting customization (you control the narrative), (3) verifying technical setup (SSO, API access, custom domains), (4) testing the customer experience as a buyer would, (5) negotiating margin floor (target: keep 60-70% of MRR), (6) building your sales collateral around the white-labeled product, (7) setting clear escalation paths for support.

Become a CapstonAI partner → Pricing

The 8-step playbook

Step 1: Branding control — what you must own. Non-negotiables: your logo on dashboard + reports, your color palette, your custom domain (app.youragency.com), your branded email sender (no platform-name in customer-facing email). Bonus: custom favicon, custom login page, customizable email templates.
Step 2: Reporting customization — own the narrative. Reports are the product to your client. Must control: report cover with your branding, executive summary you can edit, KPIs you select (not platform defaults), commentary you write. PDF + scheduled email delivery from your domain.
Step 3: Technical setup — what to verify before signing. SSO via Google/Microsoft (clients expect it), API access to pull data into your own dashboards, role-based permissions (you control which client sees what), audit logs for compliance, GDPR compliance for EU clients.
Step 4: Test as a buyer — the dogfooding test. Sign up as if you’re your own client. Onboard yourself. Generate a report. Send to a friendly contact for feedback. If the experience feels obviously “powered by another platform,” the white labeling isn’t strong enough. Walk away.
Step 5: Negotiate the margin floor. Standard partner pricing structures in 2026: (a) flat platform fee per client ($200-$1 200/mo depending on tier), (b) revenue share (platform takes 25-40% of MRR), (c) hybrid (lower flat fee + smaller rev share). Target: keep 60-70% of MRR after platform cost. Below that, your unit economics break.
Step 6: Build sales collateral around the white-labeled product. Demo videos using your branding, case studies from your clients (not platform’s), pricing pages with your packaging, ROI calculators with your math. Don’t use platform’s marketing assets — that breaks the white-label illusion immediately.
Step 7: Define support escalation paths. Tier 1: your team (account management, basic questions). Tier 2: platform’s partner support (technical, data accuracy). Tier 3: platform’s engineering (rare, critical bugs). Set SLA expectations with both your client AND your platform. 24h Tier 1, 48h Tier 2, 72h Tier 3 is standard.
Step 8: Plan migration paths in case of platform change. Lock-in is real. Before signing, confirm: data export (full client data, not just summaries), 30-day notice for price changes, contract termination terms. You want optionality if the platform pivots, gets acquired, or raises pricing 3×.

Concrete case study — anonymized 14-person SEO agency

Real partner pattern (anonymized): mid-size SEO agency (14 FTE pre-launch, $2.1M ARR) that added a GEO line in early 2025. Numbers below cover the 9 months following GEO launch:

Metric	Build in-house (estimate)	White label (CapstonAI partner, Q1 2026)	Delta
Setup cost (year 1)	$420k-$900k	$0-$15k	−$405k+
Time to first client billing	9-18 months	2-4 weeks	−8+ months
Engineering FTE required	3-6	0	−3 to −6
Maintenance cost (ongoing)	$180k-$400k/yr	Included in partner fee	−$180k+/yr
Time to break-even (10 clients)	Year 3	Month 5	−2.5 years
Risk of obsolescence (engine API change)	On you	On platform	−

Headline result: +$840k ARR (+40%) in 9 months, with margin expansion and lower churn. GEO line reached 34% of total revenue by month 9.

Common errors with white label GEO platform

Picking on price alone. Cheapest platform = poorest white labeling, slowest engine coverage updates, weakest support. Optimize for total cost (margin + time saved + risk transferred), not sticker price.
Over-customizing the platform itself. Heavy custom integrations slow your time-to-revenue and lock you in deeper. Use platform features as designed; differentiate on service and reporting narrative, not deep custom code.
No exit plan. Sign a 12-month contract with a platform you can’t migrate from = trapped. Always confirm data export + reasonable termination terms before signing.
Not training your team on the platform. If your AMs don’t know the platform inside-out, they can’t sell it confidently. Mandatory: 2-day platform onboarding for all client-facing staff before the first sale.
Reselling without your own positioning. If your pitch is “we’re CapstonAI but with a logo swap,” you’re not adding value. Add your strategy layer, your industry expertise, your reporting narrative. That’s your moat.

FAQ — white label GEO platform

How much margin can we realistically keep on a white-label GEO offering?

CapstonAI partner cohort Q1 2026 median: 64% gross margin on the platform line, 55-58% blended (including service delivery). Above 70% means you’re underdelivering on service. Below 50% means platform pricing is wrong for your model.

Can clients tell it’s white-labeled?

If done well: no. If done poorly: yes within 5 minutes of using the dashboard. The difference is custom domain + branded email + custom reports. Without those three, white label = “with our logo” theater.

What happens if the underlying platform is acquired or shuts down?

Real risk in 2026 (consolidation phase). Mitigation: (1) data export rights in contract, (2) 30-90 day termination notice, (3) at least one backup platform you’ve evaluated, (4) hybrid pricing where you don’t depend 100% on platform margin.

Tools and related reading

Ready to launch a GEO practice?

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Last updated: May 2026. Sources: CapstonAI partner program data Q1 2026 (12-agency cohort, combined $7.4M GEO ARR), CapstonAI Q1 2026 buyer survey (n=412 B2B buyers), CapstonAI partner survey Q1 2026 (n=68 agencies), engine disclosures, vendor documentation.