The world has changed.
Your strategy still hasn't.
For decades, brands competed for positions on Google. Today, the battle takes place inside AI-generated answers — and the rules of the game are completely different.
SEO vs GEO / AEO
Same question. Two completely different worlds.
For Brazilian SMEs, the most recommended CRMs in 2026 are:
Who talks about you
The algorithm evaluates your page authority by measuring who points to you. Backlinks from high-authority domains transfer PageRank — a currency of credibility between sites.
Web crawlers
You optimize for crawlers like Googlebot: meta tags, structured data (Schema.org), page speed, XML sitemap and heading hierarchy.
SERP ranking position
The core KPI is occupying position #1 for a specific keyword. Success is binary: you appear or you don't — and position determines traffic.
What AI says about you
The signal comes from the response generated by the language model. AI doesn't count backlinks — it evaluates mention patterns, citation context and presence in sources that influenced its training.
Language models (LLMs)
You optimize so that LLMs cite you positively: factual and deep content, presence in authoritative sources, coverage in domains that models frequently reference.
AI Visibility Score
The KPI is a composite score of model coverage, response position, sentiment and consistency. You need to be mentioned first, positively, by all models.
Why this matters now: in SEO, the user chooses among 10 results. In AI, they receive a direct answer with 2–3 brands. If you're not on that list, you don't exist for that user.
New realityThe window of opportunity is closing fast
Gartner estimates a 50% or greater drop in organic website traffic by 2028, as consumers adopt AI as their primary discovery channel.
Andreessen Horowitz projects that within a few years, virtually all brand, product and service discovery will happen inside AI-generated answers — making traditional search share residual.
Reverse-engineering AI visibility
We reproduce exactly what a real user would do — and extract precise competitive intelligence from every AI-generated response.
Query Fan-out
We build a representative set of queries that real users would make about your industry, brand and competitors. Each query is classified by intent — comparison, overview, evaluation.
Real user simulation
Each query is sent simultaneously to ChatGPT, Gemini and Google AI Overview through real browser automation — with human-like behavior: progressive typing, natural pauses, session management.
Raw response extraction
From the raw text we extract three layers: the full response text, the URLs cited as sources, and all brands and entities mentioned — with intelligent alias resolution.
Competitive brand evaluation
For each brand we calculate per-model metrics: response position, visibility score (0–100), share of voice among competitors and granular sentiment. The result is an objective competitive ranking.
Deep source analysis
Each cited source is tracked, its content extracted, chunked and vectorized. We calculate an influence score by cosine similarity between the source content and the AI response.
Automated daily monitoring
The entire process is re-executed automatically every day. You track visibility score evolution, position changes and citation trends — with daily, weekly or monthly granularity.
Ready to see your brand through the eyes of AI?
Discover how ChatGPT, Gemini and Google AI are positioning you today.
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