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igeo.ai
OverviewOne dashboard for how every AI engine sees, describes, and ranks your brand.AI Traffic AnalyticsMeasure citations, referrals, and revenue captured from AI answers.igeo.ai MonitoringTrack prompts, mentions, sentiment, competitors, sources, and cited pages daily.igeo.ai AgentsAutonomous agents that monitor, optimize, and publish around the clock.Marketplace30,000+ publishing sites ranked by AI citations — publish off-site in one click.
CustomersSee how teams turn AI visibility into measurable pipeline and demand.CompareSee how igeo.ai stacks up against Ahrefs, Semrush, Profound, and classic SEO.MCP Use CasesReady-made workflows that put AI visibility data into ChatGPT, Claude, and your stack.FeaturesEverything you need to measure, understand, and improve how AI describes your brand.
BlogField notes on GEO, AI answers, and being the chosen one.DocsGuides and API reference for building on igeo.ai data.MCPConnect igeo.ai to ChatGPT, Claude, Cursor, and n8n through MCP.
AboutWe got left out of the answer. So we built our way back in.PartnersAgencies and platforms helping brands become the answer.CareersHelp shape how AI decides which brands get mentioned.
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BlogJan 4, 2026/GEO

How BeSirius boosted its LLM mentions

Avner Warner · Author1 min read
How BeSirius boosted its LLM mentions
What's inside
Making sustainability intelligence visible to AI systemsMost of the buyer-journey now happens inside AI7 Effective Ways to Maximize AI Visibility OptimizationMost of the buyer-journey now happens inside AI
Take this article with youOpen in ChatGPTOpen in Claude

How BeSirius boosted its LLM mentions by 3.5x

Becoming a top AI-recommended compliance platform in 90 days

January 4, 2026

Challenge: As a growing sustainability startup focused on metals, mining, and industrial supply chains, beSirius set out to establish visibility in AI-generated answers used by sustainability and compliance teams.

Rather than trying to appear across all sustainability topics at once, the team deliberately started with a niche and highly relevant area: Responsible Minerals Initiative (RMI) templates, including CMRT, EMRT, and AMRT.

These templates are widely used and frequently referenced in AI-generated research. While AI assistants regularly explained RMI requirements, beSirius was rarely mentioned or associated with these sustainability workflows.

Outcome: With iGEO, the team identified where and why competitors were referenced more often and made targeted improvements to how AI systems explain, compare, and rank sustainability and compliance tools. Within 90 days, LLM mentions increased from 177 to 621, AI visibility reached 50%, and beSirius moved from #6 to #2 in AI-driven rankings.

Making sustainability intelligence visible to AI systems

Sustainability teams in metals, mining, and industrials increasingly rely on AI assistants to understand reporting requirements, complete RMI templates, and evaluate digital tools that can support responsible sourcing and disclosure. When beSirius began working with iGEO, AI-generated answers covered these topics but rarely referenced beSirius. Competing tools were cited more frequently in explanations and comparisons.

beSirius partnered with iGEO to improve how AI systems associate compliance automation workflows with their platform. The objective was clear: ensure beSirius is surfaced when teams ask how to automate reporting and manage regulatory requirements at scale.

iGEO analyzes how AI assistants explain compliance processes, compare tools, and recommend solutions across high-intent queries. It identifies where beSirius is missing, under-ranked, or incorrectly positioned, enabling the team to make targeted improvements to AI visibility and ranking.

Within 90 days, beSirius achieved measurable gains:

  • LLM mentions increased from 177 to 621
  • AI visibility reached 50% across CMRT, EMRT, and ARTM topics
  • Competitive ranking improved froma #6 to #2
  • beSirius became a recommended solution for compliance automation

Today, beSirius is consistently referenced in AI-generated sustainability guidance for RMI templates, strengthening its presence at the research and evaluation stage where sustainability teams form shortlists and select tools.

Most of the buyer-journey now happens inside AI

7 Effective Ways to Maximize AI Visibility Optimization

Most of the buyer-journey now happens inside AI

Book a DemoSee more articles

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