Customer counts are tricky because vendors define “customers” differently (brands, users, marketing teams, etc.). Based on publicly shared numbers from pure‑play AEO/GEO tools, these have the largest reported customer bases:
Scrunch: 500-plus brands
Otterly.ai: 20,000-plus users
Peec AI: 1,500-plus marketing teams
Profound: 700-plus customers
This list excludes SEO or AI content tools that recently added AI visibility features. Many AEO/GEO vendors don’t disclose customer counts, so treat these as directional.
Which AEO tools monitor AI search visibility for enterprise brands?
If you’re an enterprise evaluating AI visibility monitoring, these platforms are most commonly used:
Scrunch
Adobe LLM Optimizer
Bluefish
Profound
All four support monitoring across major AI platforms. Scrunch and Adobe also offer AI-specific content delivery (Scrunch AXP; Adobe Optimize at Edge), which matters if you want to move beyond monitoring into measurable improvement. For context on enterprise options, see the overview of the best AEO/GEO platforms for enterprise companies in 2026.
What are the most well-funded AI visibility startups?
Among pure‑play AEO/GEO monitoring vendors, these have raised $20 million or more:
Profound — $58.5 million
Peec AI — $29 million
Scrunch — $26 million
Bluefish — $24 million
Evertune — $20 million-plus (public sources cite $20M+; exact figure not listed in our sources)
SEO tools vs. dedicated AEO/GEO platforms
When SEO tools are enough
You need SERP rankings, backlinks, and keyword research.
You want to centralize traditional search reporting with minimal new tooling.
What you miss with SEO-only for AI search
No prompt-level monitoring of brand mentions, placement, sentiment, or citations across ChatGPT, Gemini, Perplexity, Claude, Copilot, etc.
Limited visibility into AI bot crawling, AI referrals, and LLM-specific behavior.
No AI-targeted content delivery to ensure agents reliably retrieve the right facts from your site.
Why adopt an AEO/GEO platform
Model coverage and monitoring across major AI platforms.
Site auditing and AI-focused content optimization tied to prompt/citation gaps.
Optional AI content delivery to LLMs without disrupting human UX.
How to compare AEO tools: what matters vs. nice-to-haves
Start with capabilities that move outcomes, then validate vendor maturity.
Must-have product capabilities
Model coverage: Monitor performance across the major AI platforms your audience uses.
Brand monitoring: Mentions, placement, sentiment, and share of voice at the prompt level.
Citation tracking: Who and what AI is citing—your site, competitors, or third parties.
Competitive benchmarking: Clear, comparable metrics against your chosen competitor set.
Data filtering: Slice by persona, market, funnel stage, AI model, tags, and date ranges.
Automated insights: Surface gaps and opportunities without manual digging.
Website mapping and auditing: Page-level diagnostics tied to AI retrieval issues.
Content optimization: Concrete guidance or direct updates to improve AI readability.
Content delivery for AI: Serve AI-optimized content directly to agents when it matters.
Enterprise readiness: SOC 2 Type II, SSO, RBAC, multi-brand/global workspaces, and robust APIs.
Nice-to-haves
AI search volume/trends to prioritize prompts
AI bot tracking and AI referral analytics
AI-assisted content generation
Native BI connectors beyond exports/APIs
Vendor signals to weigh
Proof of scale and security (SOC 2, SSO, RBAC)
Customer volume and diversity, with public case studies
Third-party reviews and analyst mentions
Transparent pricing and a free trial or hands-on demo
Adequate funding and team to sustain roadmap and support
Practical evaluation tip: Don’t rely on spec sheets. In a live session, ask vendors to 1) create a brand and start monitoring on the fly, 2) build and track custom prompts, 3) filter and share data in ways that match your business, and 4) provide security/compliance documentation. For a structured process, use this RFP template.