Fallom vs Peekaboo

End-to-End LLM Tracing

Dive deep into the complete lifecycle of every AI interaction. Fallom automatically captures and visualizes the entire chain of events, from the initial user prompt through each sequential LLM call, tool invocation, and final response. You can explore crucial details like the exact inputs and outputs, token consumption, latency breakdowns, and the associated cost for each step. This granular, waterfall-style visibility is fundamental for understanding agent behavior, identifying bottlenecks, and ensuring the quality of complex, multi-step workflows.

Granular Cost Attribution & Analytics

Ever wondered exactly which model, team, or customer is driving your AI spend? Fallom brings complete financial transparency to your LLM operations. It automatically attributes costs down to the individual call level, allowing you to break down expenses by model provider, specific user, internal team, or even end customer. This enables precise budgeting, accurate chargebacks, and data-driven decisions about model selection, helping you optimize for both performance and cost-efficiency without any financial blind spots.

Enterprise Compliance & Audit Trails

Navigate the evolving landscape of AI regulation with built-in confidence. Fallom is engineered for regulated industries, providing immutable, comprehensive audit trails of all AI interactions. This includes full input/output logging, model version tracking, and user consent recording—features essential for meeting standards like GDPR, SOC 2, and the EU AI Act. Its configurable privacy modes also allow you to redact sensitive data or log only metadata, ensuring compliance without sacrificing essential observability.

Real-Time Dashboard & Live Monitoring

Watch your AI systems operate in real-time with a dynamic, interactive dashboard. See live traces stream in, monitor overall system health, and spot anomalies in usage patterns, latency, or error rates as they happen. This immediate visibility allows teams to proactively identify and troubleshoot issues before they impact users, turning reactive firefighting into proactive system management and ensuring high reliability for your AI-powered applications.

AI Visibility Tracking

Peekaboo offers a robust AI visibility tracking feature that allows users to monitor specific prompts related to their brand. By selecting relevant queries, brands can see when and how often they are mentioned in AI-generated responses, providing a clear picture of their online presence.

Actionable Insights

The platform provides actionable insights derived from tracking data, helping users understand the effectiveness of their online strategies. These insights enable brands to identify opportunities for engagement and to optimize their content for better visibility in AI responses.

Competitive Analysis

Peekaboo includes a competitive analysis tool that allows users to benchmark their visibility against competitors. By understanding where they stand in relation to others in their industry, brands can tailor their strategies to outperform rivals and enhance their market positioning.

User-Friendly Dashboard

The intuitive dashboard of Peekaboo presents data in an accessible manner, making it easy for users to interpret their visibility metrics. With visual representations and straightforward navigation, even non-technical users can harness the full potential of the platform.

Debugging Complex AI Agent Workflows

When a customer-facing agent fails to book a flight correctly, traditional logging offers only fragments of the story. Fallom allows developers to replay the entire agent session, examining the exact prompts, the data returned from each tool call (like flight search APIs), and the LLM's reasoning at each step. This complete context transforms debugging from a guessing game into a precise, efficient process, dramatically reducing mean time to resolution for intricate AI issues.

Implementing Transparent AI Cost Management

For a SaaS company embedding AI features, uncontrolled costs can quickly derail profitability. Fallom enables finance and engineering leaders to see precisely how much each product feature, customer segment, or internal project is spending on AI. This allows for accurate showback/chargeback models, informed decisions on pricing tiers, and identification of optimization opportunities, such as switching to a more cost-effective model for certain tasks without degrading user experience.

Ensuring Regulatory Compliance for AI Deployments

A healthcare or financial services firm deploying AI assistants must demonstrate strict adherence to data privacy and operational transparency regulations. Fallom provides the verifiable audit trail required, logging every interaction with user context, model versions used, and data processed. Its privacy controls ensure sensitive information can be protected, giving compliance officers the evidence needed to pass audits and build trust with users and regulators.

Optimizing Model Performance & A/B Testing

Choosing the right LLM is critical for application quality and cost. Fallom facilitates robust A/B testing by allowing teams to safely split traffic between different models or prompt versions. You can then compare their performance in real-time across key metrics like accuracy, latency, and cost per call directly within the platform. This data-driven approach takes the guesswork out of model selection and prompt engineering, ensuring you confidently deploy the best-performing configuration.

Brand Monitoring

Brands can utilize Peekaboo to continuously monitor their presence in AI-generated content, ensuring they stay informed about how they are perceived in the digital space. This proactive approach allows for timely adjustments in marketing strategies.

Campaign Optimization

Marketing teams can leverage insights from Peekaboo to optimize their campaigns. By understanding which AI responses favor their brand, they can refine their messaging and content to resonate better with their target audience.

Performance Benchmarking

Agencies can use Peekaboo to conduct performance benchmarking against competitors. This information helps in crafting strategies that not only elevate the agency's brand but also provide value to clients through data-driven recommendations.

Content Strategy Development

Peekaboo aids in the development of content strategies by identifying trending prompts and topics within AI conversations. This allows brands to create relevant and engaging content that aligns with current audience interests.

What if you could peer inside the intricate conversations of your AI agents, understanding not just their final answers but the entire journey of thought, tool use, and decision-making? Fallom is the key to that exploration. It is a cutting-edge, AI-native observability platform built from the ground up for the unique complexities of Large Language Model (LLM) and autonomous agent workloads. Designed for engineering teams and organizations scaling their AI applications, Fallom provides a comprehensive, real-time window into every AI interaction happening in production. Its core value lies in transforming opaque AI operations into transparent, analyzable, and optimizable processes. With a simple OpenTelemetry-native SDK, you can instantly trace every LLM call, capturing a rich tapestry of data including prompts, outputs, token usage, latency, costs, and the precise sequence of tool calls. This isn't just monitoring; it's about gaining profound, contextual insights. By grouping traces by user, session, or customer, Fallom helps you understand not just what your AI is doing, but who it's for and why it matters. Built with enterprise-scale compliance in mind, it offers the robust audit trails and model governance needed to navigate regulatory landscapes like the EU AI Act. Fallom empowers you to debug with confidence, allocate costs with precision, and ultimately build more reliable, efficient, and transparent AI systems.

Peekaboo is the forefront AI search visibility platform, crafted meticulously to empower brands and agencies by illuminating their online presence across pivotal AI platforms, such as ChatGPT, Gemini, and Perplexity. In an era where AI-generated responses are becoming the norm, understanding how and where your brand is represented in these answers is crucial. Peekaboo provides invaluable insights that enable users to track, analyze, and optimize their visibility in AI-driven content. This platform is particularly beneficial for marketers, brand managers, and agencies aiming to harness AI mentions for tangible business growth. By revealing the nuances of brand appearances in AI responses, Peekaboo transforms visibility into actionable insights, empowering users to refine their strategies and enhance their market impact in a rapidly evolving digital landscape.

How does Fallom integrate with my existing application?

Fallom is built on the open standard OpenTelemetry (OTEL), making integration remarkably straightforward. You simply install a single, lightweight SDK into your application code. This SDK automatically instruments your LLM calls—whether you use OpenAI, Anthropic, Google, or other providers—and sends the rich tracing data to the Fallom platform. This means no vendor lock-in and a setup process that can be completed in under five minutes, with no changes to your core application logic.

Can Fallom handle sensitive or private data?

Absolutely. Fallom is designed with enterprise-grade security and privacy controls. It offers a configurable "Privacy Mode" where you can choose to redact specific data fields, log only transaction metadata (like timestamps and token counts), or disable content capture entirely for sensitive environments. This allows you to maintain full observability over system performance and costs while ensuring user data and confidential information are protected according to your policies.

What makes Fallom different from traditional APM tools?

Traditional Application Performance Monitoring (APM) tools are built for conventional software, struggling to interpret the non-deterministic, language-heavy nature of LLM operations. Fallom is AI-native, meaning it understands concepts unique to this domain: it traces semantic prompts and completions, visualizes tool-call sequences, attributes costs per token, and evaluates output quality. It provides the specific context and metrics that AI engineers need, which generic APM tools simply cannot surface.

How does Fallom help with testing and quality assurance?

Fallom includes capabilities for running evaluations on your LLM outputs. You can define custom checks for accuracy, relevance, hallucination rates, or other metrics and run them against sampled or all production traces. This allows you to catch regressions in model performance or prompt effectiveness before they widely impact users. Coupled with its Prompt Store for versioning and A/B testing, it creates a robust framework for continuous improvement of your AI's quality.

How does Peekaboo track AI visibility?

Peekaboo tracks AI visibility by allowing users to select specific prompts related to their brand. The platform then monitors AI responses to these prompts, providing insights into when and how brands are mentioned.

Is Peekaboo suitable for small businesses?

Absolutely! Peekaboo is designed for brands of all sizes, including small businesses. Its user-friendly interface and insightful analytics make it an invaluable tool for any brand looking to enhance its online presence.

Can I get a free report using Peekaboo?

Yes, Peekaboo offers a free AI visibility report. Users can enter their website URL and receive insights into their current visibility without needing to provide credit card information or sign up.

What types of businesses benefit from using Peekaboo?

A wide range of businesses can benefit from Peekaboo, particularly marketers, brand managers, and agencies. Any organization looking to understand and improve its visibility in AI-generated content will find value in the platform.

Fallom is a specialized observability platform for AI development, focusing on the unique challenges of monitoring Large Language Model and agent-based applications. It provides deep visibility into prompts, costs, and performance, helping teams build reliable and transparent AI systems. Developers and organizations often explore alternatives for various reasons. They might be seeking a different pricing model, a platform that integrates more tightly with their existing infrastructure, or a solution with a broader or narrower feature scope that better matches their specific stage of AI adoption. When evaluating other tools in this space, consider your core needs. Look for robust tracing capabilities, granular cost attribution, and compliance features if required. The ease of instrumentation and the depth of context provided for each AI interaction are also key factors that determine how effectively you can debug, optimize, and govern your LLM workloads.

Peekaboo is an innovative AI search visibility platform that assists brands and agencies in enhancing their online presence across various AI systems. By providing insights on how and where brands appear in AI-generated content, Peekaboo empowers users to make informed decisions to optimize their visibility. As the digital landscape evolves with AI-driven responses becoming more commonplace, brands seek to understand their positioning within this space. Users often explore alternatives to Peekaboo for various reasons, including pricing, specific feature sets, or compatibility with different platforms. When considering an alternative, it’s essential to assess factors such as the depth of analytics offered, the user experience, and the types of reports generated. A good alternative should not only fulfill specific needs but also enhance the overall visibility strategy for brands navigating the complexities of AI search.