How AI reads this page
ChatGPT, Claude, Gemini and Perplexity don't look at colours, images or animations. They receive text, headings, links and structured data. Below is exactly what they read when they open “How Geosnap works”.
The AI receives 458 words in 5 sections, 0 links and 2 blocks of structured data.
Text
The page content in Markdown, without menus or graphics. It is the format closest to how a language model reads text.
# How Geosnap works > Geosnap operates in four main phases, each designed to simulate how a potential customer interacts with AI to make URL: https://geosnap.ai/en/doc/how-geosnap-works Language: English Version IT: https://geosnap.ai/doc/how-geosnap-works Publisher: Geosnap (Maind Group S.r.l.), https://geosnap.ai Geosnap operates in four main phases, each designed to simulate how a potential customer interacts with AI to make decisions. ## Phase 1 — Brand Contextualization When you enter your website and select your country, Geosnap analyzes the context of your business: industry, offering, target market, and positioning. This information serves as the basis for generating relevant and realistic questions. ## Phase 2 — Question Generation Geosnap automatically generates hundreds of structured prompts, organized into three types of search intent: **Informational intent** — Questions a user might ask to learn about a topic. Example: "How does a project management software work?" These questions measure whether your brand is associated with educational content in your field. **Commercial intent** — Questions evaluating and comparing solutions. Example: "What are the best CRMs for small businesses?" Here, it measures whether your brand appears in recommendations and comparisons generated by AI. **Transactional intent** — Questions intending to purchase or take immediate action. Example: "How much does [product category] cost and where can I buy it?" These questions check if your brand is mentioned at the decision-making moment. The division by intent is crucial because LLMs respond differently based on the type of question. A brand can be highly visible for informational questions but completely absent for transactional ones. ## Phase 3 — Querying AI Engines Each question is sent to major AI engines: **ChatGPT (OpenAI)**, **Gemini**, and **Google AI Mode** (Perplexity and Claude coming soon). Geosnap simulates the behavior of a real user asking conversational questions to AI, gathering comprehensive responses including cited sources. ## Phase 4 — Analysis and Data Delivery The responses are analyzed and transformed into actionable metrics: - **AI Rating**: the frequency and position with which your brand appears in responses - **Sentiment**: the analysis of tone and perception associated with your brand - **Competitors**: the mapping of all brands mentioned in your category - **Sources**: the list of web sources that AI cites as reference - **Insights**: correlations and patterns that emerge from the data - **Actions**: concrete recommendations to enhance your visibility ## The Value of Multi-Intent Simulation The strength of Geosnap lies in its broad and structured coverage. Analyzing a single prompt would give specific data, but not representative. By generating hundreds of questions on different intents, Geosnap builds a reliable statistical map of your presence in the AI ecosystem. This approach reveals patterns invisible with manual analysis: you might discover that your brand is recommended for educational questions but ignored in purchasing moments, or that a competitor dominates on a specific AI engine but is absent on another.
Structured data
Schema.org data (JSON-LD) embedded in the page code. It tells the AI explicitly what the page is about and who published it.
BreadcrumbList describes the path through the site
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://geosnap.ai/en/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Documentation",
"item": "https://geosnap.ai/en/docs"
},
{
"@type": "ListItem",
"position": 3,
"name": "How Geosnap works",
"item": "https://geosnap.ai/en/doc/how-geosnap-works"
}
]
}
TechArticle describes the guide
{
"@context": "https://schema.org",
"@type": "TechArticle",
"headline": "How Geosnap works",
"url": "https://geosnap.ai/en/doc/how-geosnap-works",
"inLanguage": "en",
"publisher": {
"@id": "https://geosnap.ai/#organization"
},
"isPartOf": {
"@type": "WebPage",
"url": "https://geosnap.ai/en/docs"
},
"description": "Geosnap operates in four main phases, each designed to simulate how a potential customer interacts with AI to make"
}
Metadata
The information in the page header, which crawlers and engines read before the content.