Read every relevant prompt across every LLM.
We map the prompts that matter for your category and track who gets cited, in what tone, with what sources — across ChatGPT, Gemini, Perplexity and AIO.
Generative Engine Optimization (GEO / AEO): we work the content, entities, citations and authority needed for LLMs and AI search surfaces to cite your brand as the reference answer — not your competitor's.
Strategies designed for brands growing in organic
















We audit how the LLMs answer your category queries, identify the gaps and build the content + authority needed for your brand to be cited as the reference.
We map the prompts that matter for your category and track who gets cited, in what tone, with what sources — across ChatGPT, Gemini, Perplexity and AIO.
Self-contained answers, structured data, factual density, original data and explicit attribution. LLMs cite what's easy to quote.
We work the entities (people, products, events, data) that the LLMs need to know about your brand. Wikipedia, Wikidata, structured data and trusted sources.
Original research, comparators, frameworks and data points that other sources end up quoting. Authority compounds in AI faster than in classic search.
Large catalogs, faceted nav and operation at scale.
See industryBottom of funnel, comparisons and product-led SEO.
See industryHigh-intent traffic in regulated categories.
See industryQuoters, comparators and brand SERP defense.
See industryTopical authority and brand SERP defense.
See industryTechnical long-tail and B2B industrial capture.
See industryStock, dealerships and multi-country local SEO.
See industryUGC and complex information architecture.
See industry"From 9k to 2.4M organic sessions per year by combining editorial strategy and thematic architecture to capture the demand for online English learning."
“We went from an SEO that reported rankings to an SEO that reports pipeline. Ana Fernández SEO didn't help us do more SEO, they helped us do a different kind of SEO.”
"From zero to 1.8M annual organic visits in a category where users don't search for the category, but for brands and use cases."
"Organic search went from a secondary channel to the main source of acquisition, with over 80% of new acquisitions originating from organic assets."
Real. ~30% of high-intent queries now produce LLM-powered answers (AI Overviews, ChatGPT, Perplexity) where users get an answer without clicking. Brands cited there capture demand; brands not cited lose it silently. The trend is accelerating.
Citation count and quality across ChatGPT, Gemini, Perplexity and AIO for tracked prompts; share of voice vs competitors; sentiment of the citation; source attribution; downstream traffic from LLM referrers. Weekly monitoring, monthly reporting.
No — it adds to it. Classic Google still drives the majority of organic traffic for most brands. GEO captures the layer above (evaluation, recommendation) that's increasingly happening inside LLMs. We work both as one strategy.
Mostly the same content with different structure: self-contained answers, structured data, factual density, original data, explicit attribution. We can refactor existing content or write GEO-native pieces.
Combination of source authority (Wikipedia, trusted media, .edu), content structure (clear answers, lists, tables), entity recognition (Knowledge Graph alignment) and original data. No single factor — it's a stack.
First citations in 6-12 weeks, depending on starting authority and category competition. Meaningful share of voice in 4-8 months with sustained work. Perplexity reacts fastest; ChatGPT and Gemini take longer.
LLM audit, prompt tracking, citation engineering and entity work. From sprint 1 we monitor every surface that matters.