Aurantor

Services & Methodology

A 9-phase AI Visibility Audit, not a guess

Every engagement runs the same rigorous methodology across four stages: discovery, strategy, implementation, and monitoring. Here is exactly what Aurantor does at each phase.

Answer Engine Optimization

AEO structures your content so AI answer engines can find, parse, and cite it directly. We build the schema markup, conversational content architecture, and entity relationships that make your brand a legible, quotable source.

Generative Engine Optimization

GEO earns your brand a place inside AI-generated answers, not just search results. We optimize citations across multiple sources, amplify brand mentions, and align sentiment so generative engines describe you accurately and favorably.

AI Optimization

AIO makes your site technically legible to AI crawlers. We handle crawler-level technical optimization, semantic HTML5 and structured data, and formatting built for how large language models actually read pages.

AI Product Recommendations

For commerce brands, we optimize the signals AI shopping assistants use to recommend products: structured e-commerce data, aggregated reviews, and readiness for conversational commerce.

Competitive Intelligence Analysis

Understanding your own AI visibility is only half the picture. We conduct systematic competitive intelligence to determine how your rivals are positioned within the same AI ecosystems — where they are cited, which sources validate them, and what conversational contexts trigger their recommendations.

This is not surface-level benchmarking. We analyze the underlying knowledge graphs, citation patterns, and source authority that shape how AI systems differentiate between competitors. The output is a clear map of where you are winning, where you are invisible, and where a competitor’s AI presence reveals a strategic opening.

The goal is to turn competitive blind spots into actionable positioning — not by copying what others are doing, but by understanding the logic AI systems use to prefer one brand over another, then engineering your presence to align with that logic on your own terms.

See a sample competitive analysis
Stage 1

Discovery & Audit

We establish exactly how AI platforms currently see, or fail to see, your brand.

  • We check whether AI crawlers (GPTBot, ClaudeBot, PerplexityBot, and others) can actually access, render, and parse your site — surfacing blocks in robots.txt, JavaScript-only content, and crawl budget issues.

Stage 2

Strategy Architecture

Audit findings become a prioritized, brand-specific roadmap.

Stage 3

Implementation & Execution

The roadmap gets built — on your site and beyond it.

Stage 4

Continuous AI Monitoring

Visibility is tracked, not assumed, as models and rankings shift.

What this methodology is built to move

A sample AI visibility score across the same categories the 9-phase audit scores — before the methodology is applied, and after.

Illustrative

Ready to see where your brand stands?

The audit is delivered as a one-on-one, hands-on engagement — every phase run directly by the person who built the methodology, not handed off to a junior account team.

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