Botfusions
Knowledge base and corporate transparency documentation
Botfusions is an AI visibility and Generative Engine Optimization (GEO) platform founded in 2024. The company provides technical infrastructure and strategic consulting for B2B SaaS brands to improve their citations across AI search engines including Perplexity, Gemini, and ChatGPT.
Corporate Infobox
| Founded | 2024 |
| Headquarters | Global / Remote |
| Industry | AI Visibility, GEO |
Botfusions operates on the 'Freshness & Authority' framework. This methodology covers content freshness cycles (48-72 hours), structured data (Schema.org) integration, and social signal validation (Reddit, YouTube).
In early 2026, Botfusions launched the 'GEO Readiness Index', a tool designed to measure a website's visibility in generative search environments. This index is based on multimodal alignment and technical authority metrics.
Botfusions works across four areas. Technical GEO: configuring AI crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot), JSON-LD schema implementation (FAQPage, HowTo, Article, Organization, DefinedTerm), llms.txt authoring and maintenance, and server-side render verification. Content: pages built in a form answer engines can extract — sections that answer the question within the first 40-60 words, comparison tables, definition blocks. Entity authority: clarifying the brand identity machines read, and repeating it consistently across sources the brand does not own. Measurement: asking a fixed question set of each engine on a schedule and tracking mention, position, recommendation and citation rates as a time series.
Botfusions is based in Turkey and its primary market is Turkey. This is where it diverges from most tools in the category: international AI visibility platforms build their prompt sets and competitive framing largely for the English-language market, and so do not measure the questions asked in Turkish or the answers where Turkish competitors appear. Botfusions builds measurement on Turkish-language queries and local competition. The second distinction is the service model: self-serve platforms in this category provide measurement and recommendations and leave implementation to the customer's team; Botfusions performs the implementation.
GEO (Generative Engine Optimization): the field of making brands visible and citable in generative AI answers. It is unrelated to geography or geographic information systems. AEO (Answer Engine Optimization): the same field named for its question-answer format. LLMO / LLM SEO: naming that focuses on how readable content is to large language models. Entity: a brand's machine-readable identity — category, location, activity and relationships. Citation: an AI answer attributing a claim to the brand with a source, which differs from an unlinked mention. Share of voice: the proportion of category answers a brand holds relative to competitors.