We put your brand in the logic of every AI agent.

B2A — Business-to-Algorithm (also Business-to-AI) — marketing is the discipline of making your brand visible, citable and recommended inside the algorithms and AI systems that increasingly mediate buying decisions: recommender engines, generative AI assistants (ChatGPT, Gemini, Perplexity, Bing Copilot, Claude), and AI-powered search like Google AI Overview. It is distinct from SEO (which optimises for human search engines) because algorithms and LLMs do not rank pages the way Google does — they build internal representations of which brands are credible, relevant, and well-documented, then surface them inside synthesised answers.

AI agents — tools like ChatGPT, Gemini, and Perplexity — are increasingly the first point of contact between a buyer and a product category. By 2027, a significant share of research, comparison, and pre-purchase work will be delegated to these agents by consumers. The brand that appears in the agent's recommendation is structurally advantaged.

LLMs build representations from their training data: the sources they were trained on, the frequency with which a brand is mentioned in authoritative contexts, the quality of structured data associated with the brand, and the consistency of third-party citations. A brand with weak structured data, thin content, and no original research is systematically disadvantaged — even if it ranks well in Google.

Structured data (Schema.org markup, JSON-LD, knowledge graph entries) is the machine-readable layer of your website. LLMs and their associated crawlers read this layer to understand what your business does, what your products cost, what your customers say, and how authoritative you are. Without it, LLMs have to guess — and they often guess wrong or omit you entirely.

A B2A engagement produces: a full LLM visibility audit across all major models, a structured data rebuild, an algorithmic content strategy with a 90-day production calendar, agent conversion optimisation of your key pages, and a monthly monitoring dashboard tracking AI mention rate, sentiment, and competitor share-of-voice.

AI SEO is the practice of optimising a website so that AI assistants — ChatGPT, Gemini, Perplexity, Copilot, Claude — surface, cite, and recommend the brand when users ask relevant questions. Traditional SEO optimises for keyword rankings inside Google's blue-link results. AI SEO optimises for inclusion inside generative answers: structured data, semantic HTML, llms.txt, citation-ready paragraphs, and authoritative third-party mentions. AI SEO is a superset of, and partially replaces, traditional SEO for high-intent commercial queries.

GEO — Generative Engine Optimization — is the discipline of getting your brand cited inside the answers generated by AI engines such as ChatGPT, Perplexity, Gemini, Bing Copilot, and Google AI Overviews. Where SEO targets the ten blue links, GEO targets the single synthesised answer the user actually reads. Tactics include structured data (Schema.org / JSON-LD), llms.txt, citation-ready content blocks, original research that is quotable, and consistent third-party brand mentions. Brand Design Ltd. delivers GEO as part of its B2A Marketing service.

AIO — AI Overview Optimization — is the subset of GEO focused specifically on Google's AI Overview (the AI-generated summary at the top of Google search results). AIO requires: explicit Schema.org markup (FAQPage, HowTo, Article, Organization), short factual paragraphs that answer the query directly in the first 1–2 sentences, original data points or quotes worth citing, and high authority signals. Brand Design Ltd. optimises pages for AI Overview inclusion as part of its B2A engagements.

Appearing in AI assistant answers requires four things in combination: (1) machine-readable structured data on every key page (Schema.org JSON-LD); (2) factual, citation-ready content written in semantic HTML with clear paragraph-level answers; (3) an llms.txt and llms-full.txt file at your domain root so AI crawlers can index your site efficiently; (4) third-party authority signals — consistent brand mentions across reputable sources that the model has seen during training or via real-time retrieval. Brand Design Ltd. delivers all four as a standard B2A engagement.

Most websites are invisible to AI assistants because they fail one or more of these checks: (1) no structured data — the AI cannot confidently identify what your business does; (2) JavaScript-rendered content the model's crawler cannot read; (3) no llms.txt knowledge index; (4) generic content that competes with stronger sources; (5) no original data, research, or quotable statements; (6) weak third-party citations. Running the Free AI Audit at https://branddesign.ltd/ai-audit identifies which of these is blocking you.

You need both. Traditional SEO still drives traffic from users who click search results. GEO (Generative Engine Optimization) drives the increasingly large share of queries that never produce a click — users get their answer directly from the AI. The strategic split for 2026: keep SEO as the foundation for click-driven traffic, layer GEO on top to capture the AI-mediated layer that now handles roughly 40% of research and pre-purchase queries. Brand Design Ltd. delivers both inside a single B2A Marketing engagement.

Google AI Overview optimisation (AIO) requires: (1) clear FAQPage and HowTo Schema.org markup; (2) the answer to each likely query appearing in the first 1–2 sentences of a paragraph, written declaratively; (3) factual content with original data points; (4) topic clusters rather than isolated pages; (5) high E-E-A-T signals (verifiable author, organisation, real reviews). Brand Design Ltd. audits and rebuilds key landing pages to meet these requirements as part of B2A Marketing.

Bing Copilot and Perplexity both perform real-time web retrieval, so they reward sites that are fast, crawlable, well-structured, and contain citation-ready statements. Concrete steps: ship llms.txt and llms-full.txt at the root; use Schema.org JSON-LD on every page; keep content reachable without JavaScript; place direct factual answers above any marketing copy; provide a machine-readable brand profile (e.g. /b2a-brand-profile.json). Perplexity in particular weights citations from sources with consistent third-party mentions.

LLM visibility is the probability that a Large Language Model — ChatGPT, Claude, Gemini, Perplexity, Copilot — will surface, cite, or recommend your brand when answering a relevant user query. Brand Design Ltd. measures it on five dimensions: structured data coverage, AI-readability of HTML, llms.txt presence and quality, brand-signal density across third-party sources, and citation rate inside live model outputs. Score available free at https://branddesign.ltd/ai-audit.

No. Voice search optimisation targets short, spoken queries answered by smart speakers and voice assistants — typically a single factual snippet. AI search optimisation (GEO) targets longer, conversational queries answered by generative AI engines with synthesised, multi-source responses. They share some best practices (structured data, conversational long-tail keywords) but GEO is broader and far more strategically important for 2026 because AI engines now mediate the majority of complex research queries.

Technical fixes (structured data, llms.txt, semantic HTML, page-speed) start influencing AI assistant outputs within 2–6 weeks, because Bing Copilot, Perplexity, and Google AI Overview re-crawl regularly. Brand authority signals (third-party citations, original research) take 3–6 months to compound. Frontier-model training cut-offs mean visibility inside ChatGPT or Claude can lag by 6–12 months for the base model, though real-time retrieval inside those products is immediate. Brand Design Ltd. tracks AI mention rate monthly via a dashboard included in every B2A retainer.

Yes. Brand Design Ltd. is based in Varna, Bulgaria and delivers AI SEO, GEO, and AIO services to clients across Sofia, Varna, Plovdiv, Burgas, and the wider Bulgarian and EU market. Engagements are typically remote with periodic on-site workshops in Varna or at client offices in Bulgaria. Working languages: English and Bulgarian. Contact: contact@branddesign.ltd or +359 877 57 00 76.