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.
ChatGPT Started Linking to Brands Inside Its Answers. Here's How to Capture the Traffic.
ChatGPT changed one small thing in how it presents answers, and it moved a lot of traffic. Brand names that used to sit in footnote-style citation chips became clickable links placed inside the answer itself, most of them pointing at brand homepages and carrying a `utm_source=chatgpt.com` tag . The share of ChatGPT responses containing a URL jumped from about 4.5% to 20–24% on the same day, roughly a 5x increase, and referral traffic rose to match.
Jul 20, 2026
Connected Is Not Recommended: How Shopify Catalog and MCP Shape AI Shopping Visibility
Shopify can make an eligible product available to AI shopping channels through Shopify Catalog, but availability does not guarantee that ChatGPT, Geminior another agent will display or recommend it. AI shopping visibility is a layered system: a product must first meet catalog requirements, reach the relevant channel, contain enough structured and descriptive data to be understood, match the shopper’s intent, and provide sufficient evidence for the channel to rank it as a useful answer.
Jul 16, 2026
Training Bots vs Search Crawlers: The robots.txt Split That Decides Your AI Visibility
AI vendors now run separate crawlers for two different jobs. One set harvests pages to train models. A second set indexes pages so AI search can cite them. These are controlled by different user agents in your robots.txt, which means you can opt out of training while staying fully eligible for AI-search citations. The old advice to "block all AI bots" now backfires: it quietly deletes your brand from the fastest-growing referral channel of 2026.
Jul 13, 2026