Stay Ahead — Make Your Brand AI Trusted on Gemini, ChatGPT, Claude, DeepSeek and other AI search platforms
In the era of generative search, traditional SEO is no longer enough. With our proprietary FLOWS Brand Trust Model, continuously quantify, monitor, and improve your brand's "Trust Index" in AI models, seizing traffic in the AI era.
{ "source": "google_search", "query": "best coffee machine" }
{ "source": "reddit", "sentiment": "positive", "brand": "Brand A" }
{ "source": "youtube_transcript", "context": "extraction_quality" }
> analyzing_intent...
Trust Score
Brand A Pro
Trusted by Leading Brands
Supported AI Platforms
Core Methodology
FLOWS Brand Trust Model
An LLM‑powered brand equity evaluation system that distills real‑world feedback from the AI industry into professional dashboards, giving you a clear, data‑driven view of how your brand is actually performing.
AI Optimization Insight
Current analysis shows excellent performance in Leading Orientation (LO), but room for growth in Origin Verification (OV). Improving source authority is expected to boost the overall score by about 5%.
Find-ability Index
Frequency of brand mentions in AI responses, position weight, and overall length proportion.
Leading Orientation
Degree of recommendation in AI responses, plus informativeness and intent matching.
Origin Verification
Authority, credibility, and traceability coverage of brand information sources in AI responses.
Website Structure
AI-friendliness of brand websites and content carriers, and technical infrastructure completeness.
Spread Index
The spread and distribution of the brand in public information environments like search engines and vertical platforms.
Full-Link Intent Simulation Engine
Unlike traditional SEO analyzing single keywords, we built an intelligent simulation system powered by our proprietary question generation model. It simulates thousands of real users asking questions to major AI platforms, capturing brand performance in AI responses in real-time. Brands can also customize the simulation engine for periodic monitoring based on their content optimization cycles, discovering patterns in AI preferences to enhance brand trust.
01. Global Data Collection
Build Brand Exclusive Knowledge Graph
02. Intent Abstraction
AI Reverse Inference of User Real Needs Scenarios.
03. Simulation Q&A
Simulate 10,000+ user questions to LLMs across various AI platforms and scenarios, capturing real brand feedback and performance under different intents and AI models.
04. FLOWS Scoring & Attribution
Generate a 5-dimensional radar chart to pinpoint shortfalls in content (WS) or recommendation (LO), and auto-generate repair strategies.
Invisible AI Traffic,
Visible on Dashboard
Manage your AI brand assets like Google Search Console. Monitor Mention Rate and Sentiment in real-time.
Driven by "Taste" features
Scenario Ranking Trend
Optimization Required (Critical)
DeepSeek model's recommendation weight for Brand A in "Fully Automatic Coffee Machine" scenario dropped by 15%. Main reason involves high-weight citation of a recent review article.
Generate Fix ContentTop Generated Questions
Latest Insights
AI marketing strategies, GEO optimization guides, and brand visibility insights.
AI Search Has No Single Ranking: Why Different People See Different Brands
You and a colleague send the same product question to the same AI assistant. Your answer recommends Brand A first. Your colleague sees Brand C at the top. You ask again the next day, and the shortlist changes.The system may be working as designed. Two screenshots alone also cannot prove that an AI engine personalized a brand ranking for each person.
Aug 31, 2026
One Question Can Trigger Dozens of Searches: How Query Fan-out Works in Google AI Mode
Query fan-out is a retrieval method in which a model generates and runs multiple related searches for one user question, then synthesizes the results into an answer. Google has confirmed that AI Mode breaks a question into subtopics and issues multiple parallel queries. AI Overviews may also use this technique.
Aug 27, 2026
ChatGPT's Three-Layer Retrieval Stack: How It Finds, Reads, and Cites Your Pages
When ChatGPT mentions your page, the version it has in hand often is not the page itself. In the default mode on a free account, Instant, it may have only the title and a roughly 200-character excerpt—about a few dozen English words.This article explains those layers from the outside in: first through a familiar analogy, then through the rules governing each layer, and finally through the actions that remain useful after a specific retrieval mechanism changes.
Aug 24, 2026