Talebeacon shows you why AI engines tell your brand's story the way they do — and gives you the plan to change it.
Talebeacon is an AI visibility platform. AI engines already describe brands to buyers — in answers from engines like ChatGPT, Claude and Gemini, before anyone reaches a website. Talebeacon shows how the engines describe a brand, why, and what to change.
Most tools stop at a score. Talebeacon traces each answer back to what produced it: the pages the engines read, the sources they cite, the competitors they anchor on. The result is an ordered list of what to fix, not a number to watch.
How it works, in three steps. Measure: the engines are asked the questions a brand's buyers ask at each step of their journey — modelled from the brand's own buyer types and market, with no prompt list to maintain. Every answer is read the same way: recommended, mentioned, mentioned cautiously, warned, or not mentioned. Map: each answer is traced to the pages, listings and comparisons the engine drew on, and the brand's own site is audited page by page for how it reads to an engine. Frame: an action plan follows every scan — what to add, fix or strengthen, in order, the brand's own site first. A re-scan on the same questions shows what moved.
The Launch Plan covers one brand, product line or product: three AI engines (ChatGPT, Gemini, Perplexity), 150 prompts on each engine, two full scans a month, an action plan rebuilt after every scan, head-to-head competitor benchmarking on every buyer question, citation and source analysis, sentiment, an AI readability audit of the site and its off-site profiles, before-and-after on the same prompts, and direct access to the team.
Built for teams that need a defensible read on AI visibility — and a plan to move it. Generative engine optimisation (GEO), also called answer engine optimisation (AEO) or LLMO, done with the why attached.