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AI SEO is the workflow for technical SEO, content, keywords, competitor comparison and prioritised SEO actions with AI support. GEO feeds and AI answer monitoring are separate product areas.
Live analysis
Beconova Visibility Layer
Multi-AI Consensus Score
Signal 01
Daily monitoring
Signal 02
5-minute setup
Signal 03
Comparison
Context
Classic SEO improves pages for Google result lists: positions, snippets and click-through rate. AI SEO measures direct answer systems: whether your brand, products and competitors appear in relevant AI answers.
An AI SEO platform provides the infrastructure to monitor that channel systematically: prompts, mentions, citations, competitors, sources and confidence signals.
The difference from pure monitoring is the action layer. Findings become content, structure and feed tasks, so teams see the next useful fix instead of only another chart.
Beconova solution
Beconova checks monitored prompts through the configured provider set and shows where answers agree, diverge or lack evidence.
The platform summarizes whether you appear, in which context, with which sentiment, which competitors are named and which sources are cited.
The Beconova snippet connects your website to hosted Schema, wai.json and llms.txt feeds. These feeds are updated when source data changes and remain separate from real provider measurement.
Product modules
A single AI response can vary. Beconova compares the providers enabled for the plan, repeated samples and evidence quality instead of treating one answer as hard truth.
Your key queries are checked regularly across configured providers. You see answer shifts, evidence gaps and competitor movement.
Drop in the snippet, connect the sitemap and pick monitoring prompts. The dashboard then shows feeds, findings and actions.
Comparison
What a platform delivers beyond isolated monitoring tools.
Next steps
FAQ
Classic SEO optimises pages for Google result lists. AI SEO measures and improves whether your brand, products and services are mentioned, cited or skipped in AI answers. Both belong together, but they solve different parts of the visibility problem.
Customers do not all use the same AI system. ChatGPT, Perplexity, Claude, Gemini, Copilot, DeepSeek, Grok, Z.AI and Kimi can answer differently. Multi-engine monitoring reduces blind spots and shows where provider answers diverge.
Initial monitoring data is available after the first run. Visibility changes depend on source quality, market demand, crawler access and provider behaviour; no ranking or mention is guaranteed.
For shops, service providers and agencies that need repeatable evidence instead of one-off prompt checks. If the target market has very little search demand, classic SEO and data quality work may come first.
Ready to start
No credit card, no auto-renew. After the first runs, see which signals are observable and where data is still missing.
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