GEO Services
Improve how your brand appears inside AI-generated summaries, recommendations, vendor comparisons, and category-level responses across modern LLMs.
How GEO Enhances Brand Recommendations
We optimize entity signals, co-occurrence authority, and context vectors to position your brand as the preferred B2B recommendation.
Sentiment & Polarity Auditing
Tracking and shaping how LLM algorithms summarize your service reputation, ensuring positive polarity and factual precision.
Category Recommendation Setup
Configuring authority footprints to secure placement in high-intent "best software for..." or B2B vendor lists generated by AI agents.
Entity Citation Mapping
Injecting robust relational links across authoritative journals and platforms to serve as source anchors for ChatGPT and Perplexity.
Real-Time Mention Analysis
Monitoring AI search responses to track where competitors are cited and building targeted strategies to close the recommendation gap.
Be the brand AI chooses to recommend.
When buyers use conversational AI to evaluate software or service agencies, the model compiles comparisons on the fly. It ranks features, pricing, and authority footprints extracted from crawled assets.
If your brand does not possess verified co-occurrence signals across authoritative nodes, the AI will recommend your competitors. AEORATE aligns your digital footprint so that model recommendation vectors lead directly to you.
Comparison Optimization: Ensuring your key differentiators are cleanly structured for AI tables.
Crawl Frequency Boost: Formatting content clusters to maximize LLM crawler re-indexation frequency.
Co-Occurrence Strategy: Aligning entity mentions to build positive relation mapping.
Audit Controls: Running regular AI audits to capture changes in model recommendation patterns.
Start Optimizing for AI Recommendations Today
Get a clear review of your current GEO visibility, competitor gaps, and the fastest opportunities to improve your presence across Google AI, ChatGPT, and Perplexity.