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Know exactly where your brand stands in AI answers, and what to do about it.
EvidentlyAEO is an Answer Engine Optimization (AEO) platform that measures, analyzes, and optimizes your brand's visibility in AI-generated answers across ChatGPT, Google Gemini, Perplexity, Claude, Bing Copilot, and other LLM engines. Track share of answer, brand citations, and AI search visibility in real-time. The premier AEO platform for AI visibility and search optimization.
Dashboard
You rank #1 among all selected competitors by mention count. Click rows to compare on chart.
| # | Competitor | Pres. | Vis. | SOA | Sent. | |
|---|---|---|---|---|---|---|
| 1 | Nike (You) | 89.2% | 33 | 50.1% | 78.2 | |
| 2 |  Adidas | 54.2% | 19 | 20.1% | 70.7 | |
| 3 |  ASICS | 37.5% | 12 | 15.5% | 74.5 | |
| 4 |  Under Armour | 30.8% | 10 | 10.6% | 74.8 | |
| 5 |  Puma | 9.2% | 3 | 2.7% | 72.3 |
Tracked daily on the same prompts as every competitor you follow. A move here is a real shift in how often AI cites you, not noise from a different question set.
Know your exact Share of AI Search
Every engine your buyers use gets queried on high-intent questions. We log which brands appear in each answer, calculating an objective visibility index tracked continuously across all major AI models.
Pinpoint the sources that train AI models
Every AI answer cites specific authorities. Source tracking pinpoints the exact domains engines rely upon in your industry, mapping attribution share and revealing citation gaps where rivals get mentioned.
- Domain-level citation counts across all 7 engines
- Attribution share between owned and earned media
- Actionable gaps where competitors outrank you
Decode how AI models describe your brand
Visibility is only half the battle. A model recommending your brand can also classify it as overpriced, rigid, or outdated. Sentiment tracking surfaces the exact qualitative adjectives AI associates with your products.
- Attribute-level sentiment scoring on purchase drivers
- Automated alerts on negative qualifiers
- Direct head-to-head perception benchmarks
“best running shoes for marathon training”
Rank #1“For marathon training, Your Brand is frequently selected for its responsive foam cushioning and durability across long training blocks.”
Every prompt you track is checked against every engine, daily. You see exactly which question moved your position, not just an aggregate score.
Inspect the queries that decide deals
Macro scores hide specific buyer questions. Inspect named prompts at the granular level, analyze parsed AI response specimens, and watch brand position climb as targeted content is published.
Generate AI-Ready Content. At Scale.
From gap to published. Every draft is built from your brand's real citation data, voice, and reputation.
Write an AEO-optimized thought-leadership article on: Best running shoes for marathon training and long distances
Best Running Shoes for Marathon Training and Long Distances
See How AI Sees Your Website.
Enter any domain and get a full AI-readiness audit in seconds.
See How AI Actually Sees Your Website.
Enter any domain — get a complete AI readiness audit in seconds. Site health scores, crawlability issues, prioritized fixes, and an AI-written summary of what's holding you back.
Score over time
Nike.com shows strong crawlability but needs content and schema improvements for better AI understanding and citation.
- Technical crawlability: 80
- Bot access: 100
- Semantic structure: 85
- Missing FAQ schema
- llms.txt missing
- Incomplete Schema.org markup
Prioritized issues
Common
questions
Everything you need to know about tracking, understanding, and improving your brand's presence in AI answers.
Still need help?
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Your competitors are
already being recommended
by AI.
Start tracking, benchmarking, and winning today.
Your competitors are
already being recommended
by AI.
Start tracking, benchmarking, and winning today.