to control your brand in
ChatGPT
Gemini
Claude
Copilot
Meta
Deepseek
Qwen
Kimi
Perplexity
Grok
Bing
At enterprise scale, one wrong AI answer repeats across every market you operate in. Citera tracks brand accuracy across all AI models and every language, and routes fixes through the approvals your organisation requires.
All countries and languages are covered on every plan
All AI models tracked, so no market is measured by proxy
Review-first workflows for regulated and brand-sensitive teams
1000+
Users
10M+
ChatGPT visitors secured
400K+
Content pieces created
12K+
Backlinks built
What enterprise teams face
The exposure scales with your footprint, and the tooling was built for a single brand in one market.
Built for scale and oversight
Multi-market tracking, controlled execution and reporting that survives a stakeholder review.
Insight & Competitors
Live Reporting & Deep Competitor Analysis
Track your impressions, clicks, and rankings in real time, and see exactly what your competitors rank for so you can take those positions.
CONTENT
Content Calendar
Your whole content pipeline across all platforms (socials, website, blogs, third-party, etc…) planned, scheduled, and published automatically, so you always know what is shipping.
KNOWLEDGE
Brand Knowledgebase
Teach the agent your product, voice, and positioning once, and it keeps everything it creates consistent with your brand from the start. Safe, quick and easy.
REACH
Automated Multichannel Publishing
Customer results
Measured, fixed, published
Citera runs the full loop — find where AI leaves you out, fix what blocks you, publish what gets cited, then check the answer again.
See where you stand
Citera runs the buying questions in your category across all AI models and records who gets named, who gets cited, and which sources decide it.
FREE AI VISIBILITY REPORT
Does
ChatGPT,
Claude,
Perplexity &
Gemini
recommend your website? See for free.
We match your brand voice, highlight your products you sell, and create articles and content that rank and get cited without sounding like generic AI content, all data-backed from the start.
Blog
Marketing data foundation: why true ROI starts one layer below attribution
Attribution decides which touch earned the conversion. The marketing data foundation decides whether that credit means anything, and why cost aggregation, normalization and freshness set the ceiling on every ROI number reported.
Attribution decides which touch earned the conversion. Your marketing data foundation decides whether that credit means anything. Here is why cost aggregation, normalization and data freshness set the ceiling on every ROI number you report.
Summary
Fix the input before you tune the model. Automated buying systems reallocate budget continuously and optimize toward whatever numbers reach them. Incomplete cost data does not get corrected downstream, it gets amplified.
Coverage and normalization are the whole job. Pulling cost, performance, creative and attribution data from over 1,200 sources into one standard schema is what makes a real comparison between two channels possible.
Freshness changes behavior, not just reporting. Data that lands hourly gets acted on. Data that lands the next morning gets reviewed. The gap between those two things is measurable in wasted spend.
Article
Comparison
Listicle
How-to
Guide
FAQ
94
/100
BLOG AEO / GEO SCORE
Direct answer in first 60 words
Question-based H2 headings
Every statistic sourced with year
Article + FAQ schema present
AI crawler access verified
Meta tags and image alt text optimized
External links
6
Internal links
8
Statistics / data points
12
JSON-LD schemas
2
View the full content
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Win the answer above the results
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One platform instead of five tools
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