How It Works
From Invisible to Authoritative
Four systems, one methodology. Here's the full breakdown of how Orbiniti measures, tests, plans, and executes AI visibility — and why each step exists.
AIR-53 Audit
Know exactly where you stand
Why it exists
Most teams have no idea whether AI crawlers can even read their site, let alone whether the content is structured in a way models will cite. You cannot fix what you haven't measured.
AIR-53 audits 53 individual signals across three categories. Technical checkpoints confirm that AI crawlers — GPTBot, PerplexityBot, Google-Extended, and others — can actually access and parse your pages, that structured data exists, and that core performance metrics aren't silently blocking indexing. Content checkpoints evaluate whether your pages are written in a way generative models can extract cleanly: answer-first structure, clear entity definitions, FAQ coverage, and content freshness. Authority checkpoints look outward — the third-party citations, reviews, and mentions that give AI models a reason to trust what your own site says about you. Every checkpoint is scored individually and rolled up into a single AIR score from 0 to 100, with a prioritized list of exactly what to fix first.
OPQ-150 Testing
See exactly what AI says about you
Why it exists
An audit tells you what's structurally possible. It doesn't tell you what's actually happening when a real buyer asks a real question. OPQ-150 closes that gap by testing live AI responses, not estimating them.
OPQ-150 runs 150 structured, buyer-realistic queries — spanning category discovery, comparison, pricing, objections, and alternatives — simultaneously across ChatGPT, Gemini, Perplexity, and Claude. For every query and every engine, Orbiniti records whether your brand appears, whether it's actively cited as a source, and whether the response is even accurate. The result is a map of your AI visibility: the queries you own, the queries your competitors own instead, and the exact wording AI engines use when your category comes up. This is the dataset that makes every subsequent decision evidence-based instead of guesswork.
Orbit Signal
Content built on what's working right now
Why it exists
AI engines change what they cite far faster than search rankings ever did. A content calendar planned a quarter in advance is already stale. Orbit Signal plans against the present, not the past.
Orbit Signal continuously reads the live signals coming out of your AIR-53 and OPQ-150 results — which entities, formats, and angles are actually being cited in your category this week — and turns that into a concrete weekly content plan. Instead of generic keyword targets, you get specific assignments: a comparison piece framed the way Perplexity is currently citing competitors, an FAQ hub built around the exact questions OPQ-150 found you're missing, a founder-story post structured for entity clarity. Every recommendation traces back to a real signal, not a hunch.
Orbit Agent
Execution that doesn't wait on you
Why it exists
Most GEO tooling stops at the recommendation. Someone still has to find time to write, publish, and track results — and that's usually where good plans die. Orbit Agent is built to close that last mile.
Orbit Agent takes the weekly plan from Orbit Signal and executes it autonomously — publishing to the channels you've connected, re-running visibility checks across all four AI engines, and sending a performance report without requiring manual approval at every step. It's not a suggestion engine; it's an operator. You set the scope once, and Orbit Agent keeps working the plan, monitoring for new visibility gaps, and adjusting as the engines change what they reward.
The Science Behind GEO
Why this is a different discipline, not a new SEO tactic
What GEO actually is
Generative Engine Optimization is the practice of structuring a brand's digital presence so that generative AI models — not search crawlers ranking pages — choose to surface and cite it when answering a user's question directly.
Why it's different from SEO
SEO optimizes for ranking algorithms evaluating keyword relevance and backlinks across a list of results. GEO optimizes for language models synthesizing a single answer from training data, retrieval, and citation trust — an entirely different evaluation system with no ranking list at all.
Why it matters now
AI answer engines are rapidly becoming the first stop for product and brand research. A brand invisible to them today is invisible to a buyer journey that increasingly never reaches a traditional search results page at all.
What brands need to do now
Start by measuring, not guessing: run an AIR-53 audit, test real queries with OPQ-150, then build a content and authority plan around what the engines actually reward — and keep testing, since the signals move fast.
Ready to Stop Being Invisible?
Run your first AIR-53 audit free. See your GEO score in minutes.
Start Your Free Audit