Understand why AI recommends competitors.
Revealing how AI understands your website and compares it to others. Visibility is an outcome. Understanding is the source.
AI search is a
black box.
As AI assistants replace search engines, you lose visibility into the logic behind brand recommendations.
Architecture of
intelligence.
This is how we move from AI understanding → recommendations → competitive outcomes.
Diagnose AI understanding
We analyze how LLMs parse, chunk, and interpret your website not just keywords or metadata.
Monitor AI recommendations
We track how AI assistants mention, compare, and cite your brand across real user-style questions.
Connect cause to effect
We show why visibility changes linking AI understanding issues to lost recommendations.
What you
actually see.
"Your brand is currently perceived as a high-performance enterprise solution, but models fail to link your 'security' features to 'compliance' queries due to fragmented chunking in the /docs/security directory."
Global AI Mindshare (7d)
Competitor X has a 1:1 match for "SOC2 Type II Automation" in their header metadata, which Gemini weights heavily.
Their technical blog uses the same embedding structure as ChatGPT's internal training set.
Decide with
clinical precision.
Intelligence is useless without action. Here is how AIViz changes your roadmap.
Stop guessing which keywords to track. Rewrite your documentation structure based on exactly how the LLM chunks your data.
Don't wait for a lost deal. Identify competitor semantic overlap early and pivot your value prop before the AI solidifies the comparison.
Stop publishing random blogs. Map every new page to specific 'high-intent' AI recommendation loops discovered in your dashboard.
Intelligence
at scale.
Perception Analysis
See how models chunk and interpret your content.
Competitor Diagnosis
Why competitors win the recommendation loop.
Brand Tracking
Monitor citations across all major LLMs.
Win/Loss Logic
Identify critical queries where you are ignored.
Trust is
auditable.
Our open-source CLI audits AI readiness at the website level. Inspect extraction, chunking, and hallucination risks locally.
View on GitHub➜ ai-lighthouse audit https://example.com
Analysing content extraction...
Clarity
92%
Hallucination Risk
High
Simple, transparent
pricing.
Choose the plan that fits your needs.
Note: Model token costs are billed separately and are not included in the below plans.
- • CLI audits
- • Local execution
- • Community / open-source
- • Basic AI visibility report
- • Access to documentation
- • Email support (community)
- • Whats included in Free, plus:
- • 1 domain
- • Weekly AI perception reports
- • Limited history
- • Basic competitor analysis
- • Email support (priority)
- • Exportable reports
- • Whats included in Starter, plus:
- • Up to 5 domains
- • Daily AI visibility tracking
- • API access
- • Competitor comparisons
- • Custom report scheduling
- • Priority email & chat support
- • Team collaboration tools
- • Whats included in Pro, plus:
- • Unlimited domains
- • SLA & support
- • White-label / reporting
- • Internal AI search insights
- • Dedicated account manager
- • Custom integrations
- • Onboarding & training
- • 24/7 premium support