Which AEO/GEO tool has the most customers today?

Customer counts are tricky because vendors define "customers" differently — brands, individual users, or marketing teams. Based on publicly shared numbers from pure‑play AEO/GEO tools as of 2025–2026, the platforms below have the largest reported customer bases. These figures come directly from each vendor's public disclosures.

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 — such as Semrush, Ahrefs, or BrightEdge — which report customer counts across a much broader, non-AEO product surface. Many pure-play AEO/GEO vendors don't disclose customer counts publicly. Treat these figures as directional benchmarks rather than audited totals.

Which AEO tools monitor AI search visibility for enterprise brands?

If you're an enterprise evaluating AI visibility monitoring — typically defined as organizations with multiple brands and global markets — these platforms are most commonly used:

Scrunch
Adobe LLM Optimizer
Bluefish
Profound

All four platforms support monitoring across major AI platforms: ChatGPT, Gemini, Perplexity, Claude, and Microsoft Copilot. Scrunch and Adobe also offer AI-specific content delivery. Scrunch does this via Agent Pages; Adobe via Optimize at Edge. This distinction matters for teams that want to move beyond passive monitoring into measurable retrieval improvement.

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, and emerging AI platforms.
No visibility into AI bot crawling (e.g., GPTBot, Google-Extended, ClaudeBot), AI referral traffic, or LLM-specific retrieval behavior.
No AI-targeted content delivery — meaning agents may retrieve facts from competitor or third-party sources instead of your site.
Why adopt a dedicated AEO/GEO platform
Broad model coverage and continuous monitoring across the major AI platforms where buyers research.
Site auditing and AI-focused content optimization tied to specific prompt and citation gaps.
Optional AI content delivery to LLMs without disrupting human UX or existing page design.
Enterprise controls: SOC 2 Type II certification, SSO, RBAC, multi-brand and global workspaces, and BI-friendly data exports and APIs.

More background on when to use each approach is covered in the AEO/GEO buyer’s guide and the guide to AI search.

How to compare AEO tools: what matters vs. nice-to-haves

Start with capabilities that move outcomes. Then validate vendor maturity against the criteria below.

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

Don't rely on spec sheets alone. In a live evaluation session, ask vendors to complete four tasks: (1) create a brand and start monitoring on the fly; (2) build and track custom prompts relevant to your category; (3) filter and share data in ways that match your business reporting structure; and (4) provide current SOC 2 Type II attestation plus SSO/RBAC documentation. For a structured process with pre-built scoring criteria, use this RFP template.

If you want a broader market view and side-by-side comparisons, explore the roundup of the best AEO/GEO tools for 2026 and the curated list of AEO/GEO tools.