Product bias everywhere
Contact and docs pages get scored as if they need product offers and reviews.
Signal vs Noise Control Room
Your pages don’t need more keywords.
Your pages don’t need more keywords.
They need correct benchmarks.
LLM Optimizer classifies each URL first (product, docs, contact, about, article, homepage), then scores against the right performance profile so your team ships fixes that actually move AI visibility.
Try any URL — we’ll detect its page type and benchmark profile.
live benchmark preview
68%
Detected Type
Docs
Potential Gain
+31
Top Fix
Add endpoint examples + TOC
Priority
High impact
CHATGPT VISIBILITY +42%•LLM CITATIONS +63%•AI DRIVEN SESSIONS 2.4x•
CHATGPT VISIBILITY +42%•LLM CITATIONS +63%•AI DRIVEN SESSIONS 2.4x
The old model is broken
Most tools apply one generic rubric to every page. That penalizes the wrong things and hides the fastest wins.
No intent awareness
Page purpose is ignored, so recommendations are noisy and execution teams lose trust.
Weak prioritization
You get a long list of tasks, not a ranked plan tied to benchmark impact.
Classify → Benchmark → Prescribe
A three-step engine designed for AI retrieval reality, not outdated SEO checklists.
Built for serious growth teams
Intent-first analysis
Detects page type before evaluating performance.
Dynamic benchmark profiles
Homepage, product, docs, contact, about, article all scored differently.
Top-fix impact ranking
Clear “do this next” queue for content + technical teams.
Run snapshots
Track progress and volatility over time with structured diffs.
AI visibility framing
Optimized for answer engines, citations, and LLM retrieval quality.
Fast execution
From scan to implementation plan in minutes, not weeks.
Before (generic scoring)After (type-aware)
What you get in every run
Composite score, category breakdowns, benchmark profile, page type reason, top fixes, and opportunity ranking across your highest-value URLs.
How it works
STEP 01
Scan
Discover URLs and collect structural + semantic signals.
STEP 02
Interpret
Classify page intent and select the matching benchmark schema.
STEP 03
Execute
Ship highest-impact changes with clear implementation guidance.
FAQ
What makes this different from standard SEO tools?
We optimize for LLM retrieval and answer engines, not only traditional search rankings.
Does it support mixed page sets?
Yes. Every URL can be classified and benchmarked against its own page-type profile in one run.
How fast can we see signal movement?
Most teams see measurable improvements in 2–6 weeks depending on implementation speed.
Own your category in AI answers
Stop guessing what to optimize. Run a benchmark-aware audit and execute the exact next moves.
Run Free Audit