Semantica AI VS 
Geoaist
Categories AI marketing and SEO tools, Data and analytics AI marketing and SEO tools
Pricing and payment
Pricing model Trial Paid
Starting price from $490/month from RUB 11,900/month
Free access 7 trial days Trial access
Pricing plans - Пробный период — 7 trial days
- Basic — $490/month
- Advanced — $980/month
- Enterprise — Price not specified
- Тест — RUB 11,900/month
- Бизнес — RUB 24,900/month
- Премиум — RUB 39,900/month
- Enterprise — RUB 54,900/month
- Бесплатные запросы — Trial access
Regional payment options Pay directly on the website Pay directly on the website
Pricing last changed —
Ratings and reviews
Editorial assessment Good specialized service Good specialized service
Functionality Good Good
Price and value Average Good
Ease of use Good Average
Reliability and support Average Average
Innovation Good Good
User rating +3 +2
Data freshness
Service status Online, checked Online, checked
Last full review of the listing
Checked
Values come from catalog data: collected pricing, editorial assessments, reviews and the verification history. How we assess tools
Semantica AI Good specialized service +3 Pros
- Broad monitoring across OpenAI, Anthropic Claude, Perplexity, Google Gemini, DeepSeek, and Alice AI
- Precise citation tracking that identifies the exact web sources powering model responses
- Built-in Model Context Protocol (MCP) server for direct connections to autonomous AI agents
- Automated prompt generation categorized by user intent and comparison queries
Cons
- High barrier to entry with paid tiers starting at $490 per month following the 7-day trial
- Lacks prescriptive content recommendations, leaving teams to figure out how to alter site copy on their own
- Scans run in scheduled periodic batches rather than through continuous real-time data streaming
Geoaist Good specialized service +2 Pros
- Monitors brand mentions across 13 major language models and AI search engines simultaneously.
- Calculates a quantitative AI Visibility Score (0–100%) alongside clear competitor benchmarking.
- Identifies co-citation sources to pinpoint which media and review hubs influence AI answers.
- Technical audit module flags robots.txt crawler blocks and Schema.org structured data gaps.
Cons
- No public REST API or webhook support for direct integration into automated company workflows.
- Metrics remain subject to the inherent probabilistic output and varying training cutoff dates of third-party LLMs.
