Searchable, a London-based startup, has secured $4 million at a $40 million valuation to develop an AI performance marketing platform focusing on how brands appear inside AI assistants rather than just Google searches.
The program functions as a “command center for LLMs,” monitoring how frequently and accurately brands appear in ChatGPT, Claude, and Perplexity before changing material and metadata to make it more understandable and recommendable to AI models.
It integrates with GA4 and Search Console, allowing marketers to ask queries such as “Which AI models recommend us?” or “Where am I losing visibility?” as AI-powered “answer engines” grow.
Why It Matters
In the US and Europe, over 40% of people begin their research with an AI assistant or LLM-based tool instead of a typical search engine, and this trend is rapidly increasing.
For inventors and founders, presence in ChatGPT-style replies is becoming as crucial as ranking on page one of Google. However, most individuals remain unaware of the frequency of their references or the accuracy of the information provided.
Searchable is one of the first tools designed particularly to bridge that gap, making “What are the AIs saying about me?” a measurable and optimizable statistic.
If the platform delivers on its promise, early adopters could have a significant “share of voice” in AI replies, while larger businesses continue to optimise primarily for traditional SEO and sponsored search.
Also Read: Anthropic Snaps Up Bun to Boost Its AI Coding Power
Action to Take
Perform a short manual AI visibility audit. In ChatGPT, Gemini, and Perplexity, ask three to five frequent questions that your ideal consumer could ask.
(for example, “best [niche] newsletter” or “top tools for [problem]”). Keep track of whether and how frequently your brand appears.
Metric: percentage of searches in which you are referenced, plus an accuracy grade out of ten for how you are described.
Record your current “AI shelf space“. Copy and paste the top answers, sources mentioned, and competitors who appear instead of you into a simple spreadsheet.
Metrics include the number of competitors referenced in comparison to you, as well as the most-cited domains from which you may want links or PR.
Tighten one key asset for AI search. Choose a cornerstone page (about, primary offer, or flagship content) and improve it with AEO best practices such as clearer structure, FAQs written as prompts, stronger expertise signals, and more detailed descriptions of people you help.
Metric: Publish date + amount of AI inquiries citing that page (recheck after 2-4 weeks).
Explore specialised tools (including Searchable) for ongoing tracking. Review cost, coverage, and dashboards for Searchable and other LLM visibility platforms from recent round-ups. Shortlist 1-2 options based on your stage.
Metric: One primary tool was selected for a 14-30 day trial, with a target list of AI prompts to track.
Set a simple AI visibility objective for Q1. Like the following: “Double the number of priority prompts where our brand appears in at least one top AI assistant answer.”
Metrics include the number of monitored prompts today and after 90 days, as well as any changes in sign-ups/leads from “found you via ChatGPT/AI” responses.
