Fallom vs Peekaboo

Real-Time Observability

Fallom offers real-time observability for AI agents, enabling users to track every function call made by LLMs. This feature provides insights into timing, costs, and performance metrics, allowing teams to debug with confidence and optimize workflows effectively.

Cost Attribution

With Fallom's cost attribution capabilities, organizations can track spending on a granular level. Users can analyze costs per model, user, and team, providing full transparency essential for effective budgeting and financial planning in LLM operations.

Compliance Ready

Fallom is built with compliance in mind, offering complete audit trails that help organizations meet regulatory requirements such as the EU AI Act, SOC 2, and GDPR. This feature ensures that all interactions with LLMs are logged and traceable, thereby enhancing organizational accountability.

Session Tracking

The session tracking feature allows users to group traces by session, user, or customer, providing comprehensive context for each LLM interaction. This capability is crucial for understanding user behavior and refining LLM performance based on real-world usage.

AI Search Visibility Tracking

This is the absolute cornerstone of Peekaboo. It allows you to monitor precisely when and how your brand, products, or key terms are mentioned across leading AI models like ChatGPT and Gemini. You're no longer in the dark; you get concrete data showing which user prompts trigger mentions of your brand, giving you a clear map of your current AI footprint. This real-time tracking is the critical first step to moving from passive observation to active optimization.

Prompt Performance Dashboard

Forget vague analytics. Peekaboo provides a centralized dashboard that shows you the performance of specific prompts relevant to your industry. You can see which queries are most frequently asked and how your brand stacks up against competitors in the answers. This insight is pure gold—it tells you exactly what your potential customers are asking AI and whether you're part of the considered solution. It turns abstract "AI visibility" into tangible, actionable metrics.

Competitor Mention Analysis

You cannot win a race if you don't know who you're running against. Peekaboo doesn't just track you; it tracks your competitors. This feature lets you see which prompts lead to mentions of your rivals, allowing you to identify gaps in your own visibility and understand their AI positioning strategy. It's competitive intelligence at its most modern, revealing the new battlefield where recommendations are won and lost.

Free AI Visibility Report

This is arguably the smartest onboarding tool I've seen. Before you even sign up, you can enter your website URL and get a detailed report on your current AI search visibility. It takes two minutes, requires no credit card, and instantly demonstrates the platform's value. This low-friction entry point is perfect for skeptical marketers or agencies who need to see the concrete data gap before they commit.

Debugging LLM Workflows

Fallom is invaluable for teams debugging LLM workflows. By providing detailed insights into every call and its performance, users can quickly identify bottlenecks and optimize their models for better efficiency.

Cost Management

Organizations can leverage Fallom's cost attribution feature to manage their LLM-related expenses effectively. By tracking costs per user and model, teams can make informed decisions about resource allocation and budget planning.

Ensuring Compliance

For companies operating under strict regulatory frameworks, Fallom's compliance-ready features are essential. Users can maintain audit trails and ensure proper consent tracking, safeguarding their operations against potential legal pitfalls.

Performance Evaluation

Fallom enables organizations to run evaluations on LLM outputs, ensuring quality and accuracy before deployment. By analyzing metrics such as accuracy, relevance, and hallucination rates, teams can refine their models to meet high standards.

For SEO & Digital Marketing Agencies

Agencies can leverage Peekaboo as a premium, future-proof service for their clients. It moves beyond traditional SEO reporting to offer cutting-edge AI visibility audits and optimization strategies. This allows agencies to demonstrate proactive value, protect their clients from obscurity in AI search, and ultimately command higher retainers by solving a problem most competitors are still ignoring.

For In-House Brand & Marketing Teams

Modern marketing teams can use Peekaboo to take control of their brand narrative in AI ecosystems. It helps them ensure their key products are recommended for the right queries, measure the impact of content strategies on AI visibility, and defend against misinformation or competitor encroachment in AI-generated answers. It's a direct line to understanding modern brand discovery.

For Product-Led Growth (PLG) Companies

For SaaS and tech companies where being "recommended" is vital, Peekaboo is a growth engine. Teams can track how their product is mentioned in response to comparison prompts, feature queries, and pricing discussions. This data directly informs content creation, feature messaging, and positioning to ensure they are the top AI-recommended solution in their category.

For Market Research & Competitive Intelligence

Analysts and strategists can use the platform not just for their own brand, but to understand entire market landscapes. By tracking a set of industry-specific prompts, they can see which companies are winning the AI recommendation war, identify emerging trends in how products are discussed, and gain unparalleled insight into shifting consumer inquiry patterns.

Fallom is a cutting-edge AI-native observability platform specifically designed for large language models (LLMs) and agent workloads. As organizations increasingly rely on LLMs to drive their operations, the need for comprehensive visibility into these systems has never been greater. Fallom addresses this need by providing detailed insights into every LLM call made in production, allowing teams to trace end-to-end processes that include prompts, outputs, tool calls, tokens, latency, and associated costs. Tailored for developers, data scientists, and compliance officers, Fallom not only helps monitor LLM operations in real time but also accelerates debugging and improves performance insights. Its rich context around sessions, users, and customers, combined with robust enterprise features such as audit trails and consent tracking, makes Fallom indispensable for organizations aiming to ensure compliance and optimize their LLM deployments. With an OpenTelemetry-native SDK, teams can set up monitoring in under five minutes, making real-time usage tracking and cost attribution a seamless and efficient process.

In the seismic shift from traditional search to AI-driven chat, a new battleground for brand visibility has emerged. If you're still obsessing over Google's page one, you're already behind. The future of discovery happens in the conversational answers of ChatGPT, Gemini, and Perplexity, where being recommended is the new SEO. Peekaboo is the essential, non-negotiable command center for this new reality. It's not just another analytics tool; it's a strategic platform built for one urgent purpose: to track, analyze, and, most critically, optimize your brand's presence across all major AI platforms. Its core value is brilliantly simple: transform passive, random mentions in AI answers into active, measurable drivers of business growth. This tool is specifically designed for forward-thinking marketing teams, SEO specialists, and agencies who understand that flying blind in the age of AI search is a direct path to irrelevance. With Peekaboo, you stop guessing which prompts lead to your product and start owning those conversations. It's the indispensable tool for anyone ready to move from hoping for visibility to strategically engineering it.

What types of organizations benefit from using Fallom?

Fallom is designed for a wide range of organizations, including those in regulated industries like finance and healthcare, as well as tech companies utilizing LLMs for various applications. Its features cater to developers, data scientists, and compliance teams.

How fast can I set up Fallom for my LLM monitoring needs?

Setting up Fallom is incredibly quick, with the OpenTelemetry-native SDK allowing users to begin monitoring their LLMs in under five minutes. This rapid setup is ideal for teams looking to implement observability without extensive overhead.

What kind of data does Fallom track during LLM calls?

Fallom tracks a variety of data points during LLM calls, including input prompts, output responses, tool calls, token usage, latency, and cost associated with each interaction. This comprehensive data helps teams analyze performance and optimize their deployments.

How does Fallom ensure user privacy while capturing data?

Fallom includes a privacy mode that allows organizations to disable content capture for sensitive data while still maintaining telemetry. This feature ensures compliance with privacy regulations and protects user confidentiality in LLM interactions.

How does Peekaboo track mentions in AI answers?

Peekaboo uses sophisticated monitoring technology to simulate a vast array of user prompts across major AI platforms like ChatGPT, Gemini, and Perplexity. It then analyzes the generated answers in real-time to identify mentions of your tracked brand names, products, and keywords. The system aggregates this data to show you exactly which queries trigger your visibility and how you are presented.

What kind of prompts should I track?

You should track prompts that potential customers are likely to use when researching solutions in your category. Peekaboo's interface provides excellent examples, such as "Which [your product type] is best for a [specific use case]?" or "What features should a [your product type] include?" The goal is to track the commercial and informational intent questions where being recommended directly influences purchase decisions.

Is there a free trial or plan?

Yes, Peekaboo offers a completely free AI Visibility Report that requires no sign-up or credit card. You simply enter your website URL, and within minutes, you receive a report detailing your current presence in AI search answers. For ongoing monitoring and full platform access, they offer a "Try for free" option, which likely involves a time-limited trial of their paid dashboard features.

How is this different from traditional SEO tools?

Traditional SEO tools are built for the paradigm of indexing and ranking on search engine results pages (SERPs). Peekaboo is built for the paradigm of conversational, single-answer generation in AI chats. The metrics, competitors, and optimization strategies are fundamentally different. While SEO focuses on links and page rank, AI visibility focuses on being cited as a trusted, recommended source within a narrative answer. Peekaboo addresses this new, distinct channel.

Fallom is an AI-native observability platform specifically designed for large language models (LLMs) and agent workloads. It excels in providing real-time insights into every LLM call made in production, offering developers and data scientists the ability to track and debug their AI operations efficiently. Users often seek alternatives to Fallom for various reasons, including pricing considerations, specific feature sets, or compatibility with their existing platforms. When looking for an alternative, it’s essential to evaluate factors such as the depth of observability, ease of integration, and compliance features. Consider whether the alternative can provide real-time monitoring and cost management, as these are critical for optimizing LLM deployments and ensuring regulatory adherence.

Peekaboo is a specialized analytics platform designed for the new frontier of AI search visibility. It helps brands track and optimize how they appear in answers from tools like ChatGPT and Gemini, turning AI mentions into measurable growth. This category is emerging, sitting at the intersection of brand monitoring, competitive intelligence, and SEO. People explore alternatives for various reasons. Budget is a common driver, as is the need for a different feature mix, like deeper integration with existing martech stacks or support for niche AI platforms. Some teams might seek a broader digital analytics suite that includes AI search as one module among many. When evaluating options, focus on core capabilities. True AI search tracking must monitor full conversational prompts, not just keywords. Look for actionable insights, not just raw data, and consider how a tool helps you not just see your visibility but actively improve it. The onboarding experience, like a quick value demo, is also a strong indicator of a user-centric platform.