2026 GEO tools: comparing 8 AI visibility platforms
A brand tested on three GEO tools produced three different results: 12%, 3%, and no data. The problem wasn't accuracy but measurement. This guide compares eight AI visibility platforms across features, pricing, language support, and Taiwan market fit. It provides recommendations for enterprises, SMBs, agencies, and newcomers, while identifying a shared limitation in how these tools work with Taiwan's market.
By
Tenten AI FDM 團隊
前線部署行銷
Published
April 20, 2026
Read time
7 分鐘

A marketing director at a Taiwan B2B SaaS company brought three GEO monitoring tool reports with three different results: 12%, 3%, and no data. The issue wasn't which tool was correct but what each was measuring. One pulled from English-language sources, another from different data, and the third had no results at all. None aligned with how Taiwan users actually ask AI questions.
Most clients asking about FDM/GEO ask the same question: which tool should we buy? This comparison tests eight mainstream platforms using the same criteria.
What GEO tools are really monitoring
GEO tools (Generative Engine Optimization) monitor how often your brand appears in answers from ChatGPT, Perplexity, Google AI Overviews, Gemini, and similar AI systems. They track mention frequency, cited sources, and sentiment to quantify visibility when AI systems cite you.
The key difference from traditional SEO tools is perspective. SEO shows search rankings. GEO shows whether an AI included you in its answer and what sources it used instead.
The right tool depends on your business type and market. A publicly traded North American company and a Taiwan-focused manufacturer need different features. This comparison uses four dimensions: features (which AI engines, source and competitive analysis), pricing (entry-level cost and structure), language support, and zh-TW applicability, whether the tool works with Traditional Chinese prompts and captures Taiwan-based media and forums as sources.
8 AI visibility platforms: side-by-side comparison
| Platform | Core Capabilities | Starting Monthly | Languages | zh-TW Fit | Best For |
|---|---|---|---|---|---|
| Profound | Deep analysis of ChatGPT/Perplexity/AI Overviews, source citations, agent crawl monitoring | Custom (approx. US$500+) | Multi-language (English primary) | Medium-Low | Large enterprises, well-funded teams |
| Scrunch AI | Enterprise-grade AI brand presence and agent experience optimization | Custom | English primary | Low | Large North American enterprises |
| Otterly.AI | Brand mentions, prompt ranking tracking, covers three major engines | Approx. US$29 | Multi-language | Medium | SMBs, independent marketers |
| Peec AI | Team collaboration, competitive benchmarking, source analysis | Approx. €90 | Multi-language (European languages strong) | Medium-Low | Agencies, multi-client management |
| Semrush AI Toolkit | AI visibility module, integrated with existing SEO data | Approx. US$99 (add-on) | Multi-language | Medium | Teams already using Semrush |
| Ahrefs Brand Radar | Track brand appearance in AI answers and AI Overviews | Included in plan (approx. US$129 starting) | Multi-language | Medium-Low | Heavy-duty SEO teams |
| Writesonic GEO | Content generation plus AI search monitoring in one platform | Approx. US$49 | Multi-language | Medium | High-volume content teams |
| HubSpot AI Search Grader | One-time AI visibility and sentiment check | Free | English primary | Low | Getting started, trying it out |
Pricing and features change with updates. These numbers are approximate. Check vendor sites for current rates.
Picking the right GEO tool for your situation
Large enterprises that need detailed data on how AI agents crawl their sites should consider Profound and Scrunch, which offer the most comprehensive tracking available today. Both require custom pricing, typically starting at five figures monthly in USD.
SMBs and independent marketers can start tracking brand mentions on ChatGPT and Perplexity with Otterly.AI for under US$30/month. Agencies managing multiple clients will find Peec AI's collaboration tools more practical. If you already use Semrush or Ahrefs, add their AI visibility modules (Semrush AI Toolkit or Ahrefs Brand Radar) to your existing dashboard rather than paying for separate software. Teams producing large volumes of content can use Writesonic to monitor and generate optimized content together. To test without spending money, HubSpot's AI Search Grader runs free and shows whether your brand appears in AI answers.
zh-TW applicability: the shared limitation
This matters more than the others. None of these eight tools were built for the Taiwan market.
Most can technically handle Traditional Chinese prompts. The problem is source data. When AI answers Taiwan users' questions, it pulls from Mobile01, PTT, Dcard, local news outlets, and forums. These tools' source databases are almost entirely English-focused. Your mention rates might look good, but you're measuring the wrong sources.
Testing shows significant differences. Running the same brand through English prompts and colloquial Traditional Chinese prompts produces very different results.
If your customers are in Taiwan, zh-TW applicability matters more than interface design.
The Dashboard Isn't Keeping Score
These are dashboards, not engines. They show how often you're cited today but won't generate citations tomorrow.
In practice, GEO tools matter most for initial discovery, finding your baseline and identifying gaps. The harder work comes next: restructuring content, adding credible sources, and making your site valuable enough for AI to cite. The dashboard doesn't matter. What matters is whether your brand actually appears in the customer's answer.

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