# Flame Analytics vs Surfer

Flame Analytics records 22,598 monthly visits with -5.6% month-over-month growth and Contact for Pricing pricing. Surfer records 249,599 monthly visits with -29.3% growth and Paid, Contact for Pricing pricing.

| Metric | [Flame Analytics](https://openaitools.app/tool/flameanalytics-com) | [Surfer](https://openaitools.app/tool/surferseo-com) |
| :--- | :--- | :--- |
| Website URL | https://flameanalytics.com | https://surfer.ai |
| Categories | AI For Data Analytics, AI Marketing, AI Data Mining, AI Lead Generation | AI SEO Tools, SEO Writing AI, AI Writing Assistants, AI Detector |
| Pricing Model | Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 22,598 | 249,599 |
| MoM Growth Rate | -5.6% | -29.3% |
| Primary Market | Spain | United States |
| Direct Visits | 5,946 | 145,791 |
| Review Score | 4 | 4.4 |
| Saved Count | 0 | 5 |
| Supported Platforms | Website | Website |

## Flame Analytics

Flame Analytics targets anyone who runs a physical venue and needs to know what actually happens inside it. Retailers, shopping centres, supermarkets, hotels, banks, transport hubs and public venues connect their existing camera estate to the platform, and Flame's proprietary AI models turn that footage into real-time metrics. The core product is organised around three pillars: Traffic, which measures inside and outside footfall, monitors occupancy live and computes genuine conversion; Customer Journey, which tracks routes, dwell times and zone interactions to expose in-store behaviour; and Connect, which uses guest WiFi captive portals to capture, segment and market to visitors based on location, profile and behaviour.

Privacy is the defining design constraint rather than an afterthought. Flame's video technology is explicitly built without biometrics, so it does not identify individuals or store facial data, and the platform is positioned as GDPR-compliant by design. The company also emphasises hardware efficiency and reuse of existing cameras, which keeps deployment cost and effort down compared with rip-and-replace sensor rollouts. The reporting layer is aimed at non-technical operators as much as analysts: drag-and-drop dashboards, pre-built templates, dynamic reports, automated scheduling and more than 200 KPIs tailored to different venue types and use cases.

By design the platform is integration-friendly. It connects with leading CCTV and people-counting systems and plugs into cloud platforms, data lakes and enterprise analytics environments, so measurement can flow into the wider data ecosystem instead of living in isolation. Typical use cases span people counting, conversion analytics cross-checked with POS, heatmaps and dwell analysis, occupancy management with capacity alerts, queue and checkout-abandonment analytics, restroom cleaning schedules based on real usage, DOOH audience measurement for retail media sales, and guest or corporate WiFi access. The company is headquartered in Spain, publishes case studies and a partner programme, and sells mainly through a personalised demonstration with the customer's own data.

**Pricing & Plans:** Flame Analytics does not publish public list pricing. The site routes buyers to a "Request a demo" flow and a personalised 20-minute session using the customer's own data and use case, so pricing is contact-for-pricing and typically depends on venue count, modules selected and camera infrastructure.

- **Traffic and conversion measurement:** Measure indoor and outdoor footfall, monitor occupancy in real time and calculate true conversion by cross-checking visitor data against POS transactions.
- **Customer journey and behaviour analysis:** Follow routes through the space, analyse dwell time and zone interactions, and read heatmaps and visit patterns to optimise each touchpoint.
- **Connect with guest WiFi:** Turn guest WiFi into capture, segmentation and marketing activation, launching personalised campaigns based on location, profile and behaviour.
- **Privacy-first, non-biometric AI:** Video analytics built without biometrics and positioned as GDPR-compliant by design, reusing existing CCTV hardware rather than requiring new sensor deployments.
- **200+ KPIs and automated reporting:** Drag-and-drop dashboards, pre-built templates, dynamic reports, scheduled delivery and more than 200 KPIs tailored to retail, malls, hospitality and transit.

**Strengths:** Works on existing CCTV and people-counting hardware, limiting new capex and installation effort; Non-biometric approach makes privacy and GDPR review notably easier for legal teams; More than 200 KPIs with drag-and-drop dashboards aimed at non-technical venue managers; Integrations with cloud platforms, data lakes and enterprise analytics avoid a data silo

**Limitations:** No transparent public pricing; budgeting requires a sales conversation and a tailored quote; Accuracy of insights depends on camera placement and quality of the existing estate; Full value typically requires multiple sites and POS or WiFi integration to be in place

[Profile (Markdown)](https://openaitools.app/tool/flameanalytics-com.md)

## Surfer

Surfer, formerly branded Surfer SEO, has repositioned itself as an AI visibility platform. The premise is that buyers increasingly ask ChatGPT, Gemini, Perplexity, and Google's AI surfaces first, so being ranked on a results page is only part of the job — a brand also needs to be the answer those engines cite. Surfer now operates as part of the Positive software group alongside tools such as Signitic and Iconosquare.

The tracking layer monitors the prompts your audience actually asks across multiple AI models and Google AI surfaces, reporting a visibility score, mention rate, and average position broken down by brand, prompt, topic, and date. Alongside that, it shows the domains and URLs the answers cite most often and whether your brand is mentioned inside them, which turns AI answers into a targetable list of sources.

The content layer keeps Surfer's original strength: a guided editor that scores content against search and AI-citation signals, a content audit for existing pages, and topical maps for planning coverage. Surfer also ships an MCP connection so ChatGPT, Claude, and similar tools can query live Surfer data, plus free utilities including a Chrome extension, an AI detector, and an AI humanizer. Public figures cite over 150,000 companies tracking AI visibility through the platform.

**Pricing & Plans:** Surfer uses a paid subscription model with a free starting tier, a free AI visibility report, and enterprise options. Detailed plan prices are listed on the pricing page, and larger teams are routed to a demo.

- **AI visibility tracking:** Run the prompts your buyers ask across ChatGPT, Gemini, Perplexity, Google AI Mode, and AI Overviews, and see a visibility score, mention rate, and average position by brand, topic, and model.
- **Citation and source analysis:** See every domain and URL the AI answers cite, how often they appear, and whether they mention your brand, so you can target the sources that actually shape answers.
- **Content editor and audit:** Draft and optimize articles in a guided editor built to earn citations in AI answers and rankings in Google, with content audit and topical map support.
- **Topic and prompt discovery:** Find the questions your audience asks AI and Google, and spot weak pages and content gaps worth fixing or rebuilding.
- **API and MCP access:** Connect Surfer via MCP to get live platform data inside AI assistants, or use the API for programmatic access.

**Strengths:** Tracks visibility across several major AI engines and Google AI surfaces in one dashboard; Citation and source analysis turns AI answers into a concrete list of pages to target; Keeps the familiar content editor, audit, and topical map workflow for traditional search; MCP and API access let you pull live data into AI assistants and custom tooling

**Limitations:** The AI visibility category moves fast, so scores and tracked models can shift between updates; Full value requires a paid plan; the free tier and free report are limited teasers; Running prompt-based tracking across every relevant model can become costly at scale

[Profile (Markdown)](https://openaitools.app/tool/surferseo-com.md)

## Frequently Asked Questions

### How do Flame Analytics and Surfer compare in monthly traffic?

Flame Analytics has 22,598 monthly visits, while Surfer has 249,599. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Flame Analytics has a month-over-month growth rate of -5.6%; Surfer has -29.3%.

### How does pricing compare?

Flame Analytics: Contact for Pricing. Flame Analytics does not publish public list pricing. The site routes buyers to a "Request a demo" flow and a personalised 20-minute session using the customer's own data and use case, so pricing is contact-for-pricing and typically depends on venue count, modules selected and camera infrastructure. Surfer: Paid, Contact for Pricing. Surfer uses a paid subscription model with a free starting tier, a free AI visibility report, and enterprise options. Detailed plan prices are listed on the pricing page, and larger teams are routed to a demo.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Peec AI](https://openaitools.app/tool/peec-ai) | 262,088 | +0.8% | Free Trial, Paid, Contact for Pricing | Provides robust AI search analytics and sentiment tracking in generative assistants, but offers less granular page-level optimization. | [.md](https://openaitools.app/tool/peec-ai.md) |
| 2 | [Writesonic](https://openaitools.app/tool/writesonic) | 242,707 | -8.1% | Freemium, Free Trial, Paid, Contact for Pricing | AI Search Visibility Platform for GEO & AEO | [.md](https://openaitools.app/tool/writesonic.md) |
| 3 | [AISEO](https://openaitools.app/tool/aiseo) | 152,626 | +28.1% | Free Trial, Paid | AI SEO agents that rank on Google and get cited by AI chatbots | [.md](https://openaitools.app/tool/aiseo.md) |
| 4 | [Otterly.ai](https://openaitools.app/tool/otterly-ai) | 122,389 | +3% | Free Trial, Paid | Stronger dedicated focus on tracking brand mentions across conversational search engines, but lacks Surfer's broader content optimization workflows. | [.md](https://openaitools.app/tool/otterly-ai.md) |
| 5 | [GrackerAI](https://openaitools.app/tool/grackerai) | 117,207 | -6.4% | Free Trial, Contact for Pricing | Specializes in AEO brand visibility tracking across major AI engines, though with fewer traditional SEO writing assistant features. | [.md](https://openaitools.app/tool/grackerai.md) |
| 6 | [Simple Analytics](https://openaitools.app/tool/simpleanalytics-com) | 106,690 | -9.3% | Freemium, Paid | Cookie-free web analytics you can run without consent banners or personal data | [.md](https://openaitools.app/tool/simpleanalytics-com.md) |
| 7 | [viral.app](https://openaitools.app/tool/viral-app) | 89,176 | +14.3% | Free Trial, Paid | The operating system for UGC marketing and short-form analytics | [.md](https://openaitools.app/tool/viral-app.md) |
| 8 | [LLM Pulse](https://openaitools.app/tool/llm-pulse) | 84,725 | -4.8% | Paid | Effective brand reputation and visibility monitoring across multiple LLMs, though lacking traditional keyword research toolsets. | [.md](https://openaitools.app/tool/llm-pulse.md) |
| 9 | [Rankability](https://openaitools.app/tool/rankability) | 84,715 | +0.8% | Free Trial, Paid | Combines AI search visibility tracking across Google and LLMs with content optimization tools, but carries a different interface. | [.md](https://openaitools.app/tool/rankability.md) |
| 10 | [LLMrefs](https://openaitools.app/tool/llmrefs) | 64,475 | -10.8% | Freemium, Contact for Pricing | Track and grow your brand visibility inside AI search engines | [.md](https://openaitools.app/tool/llmrefs.md) |

---
Source: https://openaitools.app/compare/flameanalytics-com-vs-surferseo-com

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)