What is an analysis project?
What is an analysis project?
An analysis project is composed of several modules that help you monitor and understand how your brand and website are performing across search engines and generative engines. Each module offers a specific angle of analysis to give you a comprehensive view of your presence.
🔍 Overview
The Overview module provides high-level insights with graphs into how your domain and brand are represented across different search engines and thematic areas. It also highlights the overlap in search queries between traditional search engines (like Google or Bing), AI tools (Bing/Google AI Overview) and generative engines (like ChatGPT, Gemini, Perplexity). This helps you understand where your brand is visible and how user intent differs by platform.
📊 Rankings
The Rankings module dives deeper into performance. It includes:
Detailed search query rankings by engine.
Understanding of how your URL ranks for a specific search query across engines.
Visibility data for your domain URLs / brand and competitors across each engine
This module helps you track how your domain (and URLs) and brand rank over time and which competitors are appearing alongside you.
⚔️ Competitors
In the Competitors module, you can:
Identify which domains and brands dominate search results for your key themes.
Measure market share using accurate, data-driven metrics.
Benchmark your visibility against top players in your space.
What type of URL I can track?
What type of URL I can track?
URLs supported:
Currently, the Search module manage two types of URLs: the root domain (mysite.com) and subdomains (www.mysite.com).
Other formats, like subdirectories (www.mysite.com/file1/....), are not supported by the solution.
Domain / Subdomain tracking:
Case 1: If a root domain is provided (mysite.com), the tool collects all positions of any subdomains it finds, such as blog.mysite.com, contact.mysite.com, etc.
Case 2: If a subdomain is provided (www.mysite.com), the tool only collects positions for the specified subdomain.
What is an Engine?
What is an Engine?
An engine is a tool or system that processes user queries to retrieve relevant information. In our platform, we categorize engines into three types:
Traditional Search Engines: Platforms like Google and Bing that index and retrieve web pages based on user queries.
AI Overviews: Summarized responses generated by AI systems, providing concise information extracted from various sources.
Large Language Models (LLMs): Advanced AI models capable of understanding and generating human-like text, such as ChatGPT.
Each engine type offers unique insights into user behavior and content visibility. To delve deeper into how each engine category functions and how to leverage them within our platform, please refer to our next article: What is an engine type?
What is an Engine type?
What is an Engine type?
The search ecosystem is composed of various types of engines, each operating with distinct parameters to analyze and interpret user queries.
Below are the main categories of engines:
1. Traditional Search Engines (Google Search , Bing Search, etc.)
Key Features
These engines rely on indexing and ranking algorithms (e.g., Google’s PageRank) to classify content such as web pages and images based on relevance and authority.
Results are displayed as a ranked list of links, accompanied by short text previews (snippets).
SEO (Search Engine Optimization) is essential for improving a website’s visibility.
Interpretation & user adaptation
Personalization is key: Google and Bing adjust search results based on user history, location, and trending topics.
Over time, users have learned to scan results quickly, ignore ads (ad blindness), and refine their queries for better precision.
Example: A user searching for "best smartphone 2024" will see a list of comparison articles, e-commerce sites, and forums ranked based on SEO relevance.
2. AI Overviews (e.g., Google AI Overviews, Bing AI Overviews)
Key Features
Instead of displaying a list of links, these engines generate a synthesized response using multiple sources.
Users often find answers directly within the generated summary, reducing the need to click on external links.
AI-generated content can be biased or cite unverifiable sources, requiring users to critically assess the provided information.
Interpretation & user Adaptation
AI aggregates multiple sources and reformulates information, offering a unique interpretation.
Some users cross-check the cited sources for validation, while others rely solely on the AI-generated response (This behavior is also the most observed).
Example: A user asking "Why do cats purr?" will receive a synthesized response explaining potential reasons (happiness, stress relief, healing properties) without necessarily needing to click on an external link.
3. LLMs connected (Large Language Models like ChatGPT, Gemini, Perplexity)
Key Features
Unlike traditional engines, LLMs do not simply display links but generate detailed, interactive responses.
Chat GPT, Perplexity and Gemini Integrate a WebSearch function that allows obtaining a response based on the trained model's data and an index refreshed with sources like Google or Bing search.
Interpretation & user adaptation
AI can rephrase queries, suggest alternative approaches, and generate personalized content.
Users interact with LLMs like personal assistants, refining their prompts to obtain precise and detailed answers.
Example: A user requesting "Help me write a cover letter for a project manager position" will receive a structured draft, which they can further refine by specifying their preferred tone (formal, concise, etc.).
What is Search Intent?
What is Search Intent?
The search intent defines why a user is searching for a specific search query. You can see the Search Intent as a chip, inside the first row of the Search Query and the Visibility Gap tables. A search query may have multiple intent types. Here is the complete list of search intents:
Informational (I, blue): The user seeks general knowledge (e.g., “Why do cats purr?”).
Navigational (N, purple): The user wants to go to a specific website (e.g., “LinkedIn login,” “Nike official site”).
Transactional (T, green): The user intends to take an action like purchasing or subscribing (e.g., “Buy iPhone 15 Pro Max,” “Netflix free trial”).
Commercial (C, red): The user compares options before making a purchase (e.g., “Best wireless headphones 2024”).
What is a Search Interest?
What is a Search Interest?
Search Interest is a metric that combines a search query's current performance score with its recent trend data to provide a comprehensive view of user engagement over time. It contains:
Search Query score: Reflects the current level of interest or popularity for a specific search query.
Trend analysis: Measures the change in interest compared to the previous week (week -1), indicating whether the search query's popularity is increasing, decreasing, or stable.
By analyzing Search Interest, you can identify which search queries are gaining traction and which are declining, allowing you to adjust your brand strategy accordingly. Additionally, exploring related search queries and their search volumes can uncover new opportunities to engage your target audience.
What is a Thematic?
What is a Thematic?
A Thematic in the context of search engines, is a search query topic refers to the main subject or semantic category a search query belongs to. A single search query can be associated with multiple topics if it is relevant across different contexts or search intents.
When using the Search module, if a thematic is associated with a list of search queries, the view will display data related to your domain and brand presence within that thematic, along with competitor data integrated into the interface (this including the Overview charts, Search queries tables, Top Competitors and Visibility Gap tables).
Search query definition
Search query definition
A search query refers to the actual words or phrases, questions users input into search engines like Google, Bing, ChatGPT, Gemini, or Perplexity to find information. These queries reflect real user behavior and intent.
Our Search Module collects search queries presence and rankings and presents them in a comprehensive table, providing analysis across various engines to help you understand how users are searching for information related to your thematics.
We provide the search intent, the type of research (brand or generic), Search Interest with the trends, and the search query’s volume.
What is a Competitor?
What is a Competitor?
A competitor in your market is any business offering products or services that fulfill the same customer needs as yours.
View the presence of each competitor (domain and brand mentions).
Easily compare competitor data with your own.
Identify gaps and opportunities for each tracked search queries across search engines.
Competitors are typically categorized into:
Direct competitors:
They offer similar products or services to the same target audience.
For example, if you produce natural care products, other natural care brands are your direct competitors.
Indirect competitors:
They offer different products or services that satisfy the same customer need.
For example, a wellness spa offering facial treatments or a health food store selling supplements for skin health are indirect competitors—they offer different products or services but address the same customer desire for healthy skin.