◈01
Cross-platform model coverage
Track major answer engines and model-specific ecosystems from one operating layer
AI search position
Earn citations across AI platforms and shape demand
See where AI answer engines recommend your brand and what evidence shapes the outcome
Scoped by category competitors and priority platforms
MonitorAnalyzeReport
CitedMe
Assessment preview
- 01Questions
- 02Collection
- 03Baseline
- 04Reports
- 05Content
- 06Distribution
ChatGPTGoogle AIGeminiDeepSeekPerplexityGrokYuanbaoDoubaoQianwenChatGPTGoogle AIGeminiDeepSeekPerplexityGrokYuanbaoDoubaoQianwen
Coverage proof
AI platforms do not see your brand the same way
Compare how answer engines mention cite recommend or omit your brand across models and platforms
ChatGPTPerplexityDeepSeekGeminiGrokYuanbaoDoubaoQianwen
◉02
Buyer questions not vanity keywords
Focus on comparison scenario and recommendation prompts tied to buyer decisions
△03
Evidence that stays current
Keep evidence current as models sources and rankings shift
AI platforms
Track each answer engine separately
See model level visibility citations competitors and sentiment without blending different engines into one score
Tracked signals
Where you appear who cites you and who wins instead
TrackerChatGPT Tracker
Track your brand's visibility in ChatGPT responses, including mentions, citations, sentiment, and competitor presence.
Visibility ScoreCitation RateCompetitor GapSentiment
TrackerPerplexity Tracker
Track your brand's visibility in Perplexity responses, including mentions, citations, sentiment, and competitor presence.
Visibility ScoreCitation RateCompetitor GapSentiment
TrackerGemini Tracker
Track your brand's visibility in Gemini responses, including mentions, citations, sentiment, and competitor presence.
Visibility ScoreCitation RateCompetitor GapSentiment
TrackerDeepSeek Tracker
Track your brand's visibility in DeepSeek responses, including mentions, citations, sentiment, and competitor presence.
Visibility ScoreCitation RateCompetitor GapSentiment
Decision views
Four views for brand decisions
Turn noisy AI responses into position platform perception and source evidence
PositionPlatformsPerceptionSources
01
Position
See where your brand leads or loses ground
Evaluate the prompts that shape buyer decisions in your category
02
Platforms
Find where answer engines agree or diverge
Compare how major AI systems frame rank or omit the brand
03
Perception
Understand the narrative around your brand
Track recommendation patterns sentiment and framing across platforms
04
Sources
Trace the sources shaping AI confidence
Identify citations articles and pages that shape category answers
Operating loop
One system from question strategy to action
Define priorities collect cross platform responses and turn evidence into execution
- 01
Define questions
Map prompts around buyer journeys comparisons and category scenarios
- 02
Collect responses
Capture answers across priority AI platforms
- 03
Establish baseline
Create a stable reference for future position changes
- 04
Build decision reports
Separate leadership signals from team level detail
- 05
Set content priorities
Turn visibility gaps into briefs pages and source work
- 06
Distribute and measure
Connect publishing activity back to AI search position
Decision proof
Evidence views for AI search decisions
Compare competitive position coverage gaps and source influence in one layer
Position view
Compare brand position by query and platform
See leadership absence and competitor pressure in the prompts that matter
Coverage view
Which queries mention you on which platforms
View coverage by prompt and platform without reducing evidence to one score
Source view
The sources AI is citing when it talks about your category
Identify citations articles and domains shaping model confidence
Ready for a clearer view of your AI search position
Start with a focused assessment for your brand category competitors and priority platforms
We scope the assessment with your team before work begins