Rethinking Visibility in an AI-Dominated Landscape
Digital visibility is entering a new phase. For many years, organizations measured their online presence by where they appeared on a list of search results. Today, artificial intelligence systems increasingly provide direct answers instead of directing users to links. These systems interpret context, summarize knowledge, and recommend sources within a single response. As a result, brands must now consider how they are understood by machines as well as how they are discovered by people.
Searchable was created in response to this fundamental shift. The London-based software company focuses on Answer Engine Optimization, known as AEO, which examines how organizations are represented within AI-generated answers and conversational platforms. Rather than adapting older search techniques, the company set out to design tools specifically for this new environment.
Founders with Complementary Expertise
Searchable was established in 2025 by three founders who brought together experience from both commercial marketing and advanced artificial intelligence development. Chris Donnelly had previously built and exited companies in the marketing and health technology sectors. His background in scaling digital ventures helped shape the company’s strategic direction and market positioning.
He was joined by Arya Nagabhyru and Sam Hogan, engineers known for their work on AI-focused startups and agent-based systems. Their technical expertise allowed the company to move quickly from concept to working product. Together, the founders recognized that the rise of large language models would not simply influence search behavior but would redefine how knowledge is delivered online.
Rapid Development and Early Execution
From the beginning, the company adopted an execution focused approach. After securing the premium domain searchable.com, the founders began building the platform with urgency. The initial version of the system was developed in a matter of weeks. This rapid timeline reflected their belief that the category of AI search optimization was forming in real time and that early entry would be critical.
The product was designed to analyze how brands appear within AI responses rather than to track traditional ranking metrics. This required a different technical framework, one that could interpret language model behavior, evaluate citations, and identify patterns in how information is synthesized.
Defining the Role of Answer Engine Optimization
Answer Engine Optimization addresses a problem that did not exist a few years ago. When users interact with conversational AI, they often receive a single summarized answer instead of multiple sources. That answer is shaped by training data, references, and contextual reasoning. For companies, this means visibility depends on whether their information is recognized as reliable and relevant by AI systems.
Searchable’s platform enables organizations to examine this process closely. It studies how brands are mentioned, what sources are referenced, and how messaging is interpreted across AI environments. The goal is to provide clarity about how artificial intelligence systems perceive a company’s presence and authority.
Platform Features Built for Modern Marketing Teams
The software includes monitoring tools that track brand references across AI platforms. It identifies when and where a company is cited, alerts users to changes in representation, and highlights opportunities to strengthen visibility. These insights help teams respond quickly to shifts in how information is surfaced.
A dedicated query interface allows users to test prompts and evaluate responses generated by AI systems. Through this process, companies can observe how their messaging appears in conversational settings and refine their communication strategies accordingly. Recommendation features guide users toward improvements that can enhance accuracy and consistency without relying on manual review.
This approach transforms optimization into an analytical discipline focused on understanding signals rather than chasing rankings.
Beta Launch and Initial Market Validation
In November 2025, Searchable introduced an invite-only beta version of its platform. Early customers were selected to test the system and explore how AEO could influence their digital strategy. The controlled rollout allowed the company to refine its tools while gathering feedback from organizations already navigating AI-driven search environments.
The launch generated immediate attention. Several global brands began using the platform during this early stage, citing improvements in their visibility across AI systems and reduced time spent managing optimization tasks manually.
Investment to Support Expansion
In December 2025, Searchable announced a pre-seed funding round totaling approximately three million pounds, or about four million dollars. The round was led by the United Kingdom venture capital firm Freestyle VC. The investment valued the company at around forty million dollars and provided resources to expand engineering capabilities, strengthen marketing operations, and support customer growth.
Investors described AEO as a developing sector within marketing technology, noting that businesses increasingly require tools designed for AI-mediated discovery rather than conventional search alone.
Recognition Within the Technology Community
Searchable’s emergence has been covered by several technology and startup publications across the United Kingdom and Europe. Industry observers have highlighted the company’s focus on helping organizations understand how artificial intelligence systems interpret and present brand information. The attention reflects a broader interest in tools that bring transparency to AI-generated content.
As companies seek to adapt to conversational interfaces and automated recommendations, platforms that measure and guide this interaction are becoming an essential part of digital infrastructure.
A Company Built for the Next Phase of Search
Searchable represents a response to a changing internet where answers are assembled rather than retrieved. By combining entrepreneurial experience with deep technical knowledge, the company has positioned itself at the intersection of marketing insight and machine intelligence.
Its work suggests that visibility in the future will depend not only on being present online but also on being accurately understood by AI systems that mediate information for millions of users. Through its analytics, monitoring, and optimization capabilities, Searchable aims to help organizations navigate this transition with greater confidence and precision.
In an era defined by intelligent interfaces, the company’s mission is clear. It seeks to ensure that as search evolves into conversation, brands remain visible, credible, and correctly represented within the answers that shape modern discovery – and is committed to getting them there.
