CLASSIC SEO
You optimize to appear in a list. The user clicks — or doesn't. Your content competes with 9 other results.
A growing share of your potential customers no longer searches on Google: they ask ChatGPT, Perplexity, Claude or Gemini. If your site is not structured to be cited as a source, you simply don't exist for them. This is the problem we solve.
AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are the disciplines that optimize a site's content, architecture and structured data so that AI answer engines — ChatGPT, Perplexity, Claude, Gemini, DeepSeek, Manus — recognize it as an authoritative source and cite it in their responses.
Classic SEO optimizes for search engines: Google lists you, the user decides which link to click. AI answer engines work differently: they synthesize information and return a direct response — with or without citing their sources. If your pages are not structured to be understood, extracted and cited by these systems, your brand is absent from the conversation.
This is not a future problem. Perplexity already handles tens of millions of queries per day. ChatGPT has integrated web search. Gemini responds at the top of Google results. User behavior is changing right now — and the window to position yourself as an authoritative source is open right now.
Start with the Digital Plan →You optimize to appear in a list. The user clicks — or doesn't. Your content competes with 9 other results.
You optimize to be the answer. The AI engine cites you as an authoritative source. The user receives your brand without looking for alternatives.
The engine with the largest user base in the world. ChatGPT with active web search retrieves real-time content: page structure, markup and domain authority determine whether you get cited or ignored.
The answer engine with explicit citations: every response shows the sources used. Perplexity rewards well-structured, up-to-date content with high information density. Being cited here drives direct traffic and builds authority.
Anthropic's model favors content with clear semantic structure, precise definitions and explicit reasoning. Claude integrates web search in business plans: editorial content quality is the primary driver of citation.
Integrated directly into Google Search as AI Overview. Optimizing for Gemini means appearing in the AI summary that precedes organic results — the most visible placement available on Google today.
The rapidly growing Chinese model with advanced reasoning capabilities. Increasingly adopted in enterprise and technical sectors. Presence on DeepSeek is strategic for companies operating in B2B and tech markets.
The first widely deployed autonomous AI agent: it executes complex tasks, browses the web, produces reports. Manus reads pages like a human researcher — structure, clarity and verifiable sources are the criteria it uses to select content.
Full implementation of schema.org: Organization, Service, Product, FAQPage, HowTo, Article, BreadcrumbList. Structured data is the language through which AI systems read the meaning of a page — without it, content exists but is not understood.
Rewriting or optimizing key pages with AEO structure: clear definitions at the top, short single-idea paragraphs, explicit question-and-answer blocks, named entities with context. AI models prefer content that answers questions rather than content that talks about itself.
Implementation of the llms.txt file — the emerging standard that communicates to AI systems which content to use, how to cite it and which pages to prioritize. Configuration of robots.txt with selective permissions for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Applebot-Extended.
AI models cite entities they recognize: brands with consistent presence across multiple sources, authors with LinkedIn profiles and personal websites, companies with verified Knowledge Graphs. We build the entity presence of "Goodea" — or your company — as a cross-platform authority signal.
FAQ and HowTo sections with correct markup are the format preferred by AI systems for extracting answers. We implement them on every service or product page, with real questions (drawn from real searches) and concise answers that respond directly.
We monitor if and when the main AI engines cite your brand: test queries on ChatGPT, Perplexity, Gemini and Claude, analysis of citation type (direct source, mention, paraphrase), competitor comparison. Monthly report with evidence of progress.
Classic SEO took years to consolidate and the top positions on Google are now held by those who moved first. With AI engines we are still at the beginning: authoritative content that gets indexed and cited now will build a competitive advantage that is hard to erode.
Those who wait to optimize for AI engines will miss the same opportunity as those who waited to have a website in 2005 or a presence on Google in 2010.
Talk to us about your site →Most websites are not yet optimized for AEO. Those who start now face less competition than they will in 12 months.
AEO and GEO do not replace SEO — they enhance it. The same optimizations that get you cited by AI models improve rich results on Google.
Contrary to popular belief, presence in AI responses is measurable: test queries, citation tracking, analysis of mention type.
SEO optimizes for being found in a list of results. AEO optimizes for being the direct answer. Classic search engines show links; AI answer engines synthesize and cite sources. Technically, AEO requires denser structured data, content with question-and-answer structure and a semantic architecture that language models can interpret without ambiguity.
Systems with real-time web search (Perplexity, ChatGPT with browsing, Gemini) can start citing optimized pages within weeks of deployment. Models that rely on periodically updated training data (such as base models without web search) require longer timelines. In any case, optimization for Google's AI Overview produces visible results within 4–8 weeks of correct markup implementation.
No. The approach is surgical: we identify the 5–10 pages with the greatest potential (usually service pages, the homepage and FAQ pages) and optimize them as a priority. 20% of pages generate 80% of AI citation opportunities. We start there, measure results and expand the scope.
It works best for niche and B2B sectors. In these fields there are fewer authoritative sources available, which makes it easier to become the reference source for a specific topic. AI models tend to cite specialized content with a high degree of detail — exactly the type of content that an expert B2B company is best positioned to produce.
We use a set of predefined test queries — the questions your ideal customer would ask an AI engine to find a service like yours. Before optimization we measure the baseline (how many queries produce a citation of your brand, and of what type). After implementation we track monthly progress. We also measure rich results in Google Search Console as a proxy indicator of markup effectiveness.
We analyze your site and test how it appears in responses from the main AI engines. We return a report with intervention priorities — no commitment required.