AI Optimization (AIO)
When someone asks ChatGPT, Claude, or Perplexity for a business like yours, something decides whether your name comes up. AIO is the engineering that makes it yours.
AIO is how we cover the whole AI-search field. The acronym soup you have run into is real, but it is not noise: the engines grew three distinct disciplines because they handle three distinct jobs, and a model that generates a paragraph about your market is doing something different from one that answers a direct question or one that takes an action on a user's behalf. We ship all three, and this page treats them as separate because the engines do.
Generative Engine Optimization (GEO)
GEO is the work of becoming a source that generative engines pull from when they compose an answer. When Google AI Overviews, Gemini, or Perplexity write a few sentences about your category, GEO decides whether those sentences mention you, cite you, and describe you correctly.
Most buyers no longer scroll ten blue links. They read the generated summary and act on it. If that summary names two competitors and not you, you were eliminated before the click existed, and you never saw it happen because there was no lost-visit to measure.
We make your content the kind a model trusts and quotes: clear claims backed by specifics, structured so a machine can extract them cleanly, and published with machine-readable structured data and a /raw endpoint so engines ingest the facts you wrote, not a mangled scrape of them.
- Cite-friendly content rebuilt around extractable claims, real numbers, and source-grade specificity
- JSON-LD and machine-readable structured data so engines parse your entities correctly
- Monthly citation-share tracking across Perplexity, Gemini, and Google AI Overviews so you see whether you are being named more over time
Answer Engine Optimization (AEO)
AEO is optimization for the question-and-answer surface: a user asks something concrete, the engine returns one confident answer. AEO is the engineering that makes that one answer yours, with the right facts, attributed to your business.
Question-shaped queries are where intent is highest. Someone asking 'what does X cost' or 'who handles Y near me' is close to a decision. The engine will hand them a single answer. AEO is the difference between that answer being your information and being a competitor's, or worse, being wrong about you.
We map the real questions your buyers ask the engines, then engineer answerable, machine-parseable responses into your site: FAQ schema, llms.txt so engines know what you want them to read, and a /raw endpoint that serves your canonical answers in clean form instead of letting a crawler guess.
- FAQ schema and structured answer blocks built from your buyers' actual question phrasing
- An llms.txt file and /raw endpoint so ChatGPT, Claude, and Bing Copilot read the answers you control
- An answer-coverage audit showing which high-intent questions you currently win, lose, or are answered wrongly on
Agentic Engine Optimization
Agentic Engine Optimization prepares your business for AI agents that act on a user's behalf: comparing options, filling forms, booking, and transacting through machine-readable structure rather than a human reading a page. The job is making your site something an agent can parse and operate, not just summarize.
This is the front edge, and we will be straight with you about that. Today most engines read; tomorrow more of them act. The businesses an agent can actually understand and complete a task against will be the ones it picks when that shift lands. Building that legibility now is cheap insurance against being invisible to the next interface.
We engineer toward agent-actionability: exposing your offerings, availability, and processes as structured, machine-readable data with explicit, unambiguous entities, and a /raw surface an agent can consume without scraping a rendered page. We frame this honestly as the frontier we build for, not a finished agent-commerce pipeline we are pretending exists.
- An agent-readiness audit of how parseable your offerings, pricing, and processes currently are to an autonomous agent
- Structured, machine-readable entity data and a /raw surface designed for agent consumption, not just human reading
- A prioritized roadmap of what to make agent-actionable next as the engines move from reading to acting
What you get with AIO
- Content rebuilt to be quoted and cited by generative engines, not just indexed
- JSON-LD and machine-readable structured data covering your real entities, offerings, and processes
- An llms.txt file telling the engines what to read and how to treat it
- A /raw endpoint serving your canonical facts and answers in clean form, so engines stop guessing
- FAQ schema and structured answer blocks aligned to the questions your buyers actually type
- Monthly citation-share tracking across the named engines so progress is a number, not a feeling
- A prioritized roadmap for agent-readiness as autonomous agents move from reading pages to acting on them
How we deliver this
We start with an audit. We test how the engines currently see you: what ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, and Bing Copilot say when asked about your business and your category, where they cite a competitor instead of you, and where they get your facts wrong. You get a written picture of your current standing, not a generic scorecard.
Then we build. This is engineering, not a strategy deck. We ship the structured data, the JSON-LD, the FAQ schema, the llms.txt, the /raw endpoint, and the rewritten cite-friendly content into your actual site. Every deliverable is something that exists in your codebase or your pages when we are done, not a recommendation you have to go implement.
Then we operate. The engines change their behavior often, so this is not a one-time fix. We track your citation share month over month, watch how the named engines treat you as they update, and keep extending coverage, including the agent-readiness work, as the field moves from models that read to agents that act.
Who it's for
This is for owners of businesses with roughly 10 to 200 people who have noticed buyers showing up already informed, or not showing up at all, and suspect the AI answer layer is part of why.
It is a fit if you would rather pay for shipped engineering than for a slide deck that tells you what you should do. We do the work and it lands in your site.
It is not a fit if you want a quick keyword trick or a guarantee of a specific rank. The engines do not work that way, and we will not pretend they do.
If you have heard the acronyms and no one has explained, without selling, what they actually are, that conversation is the right place to start.
What Our Clients Say
“After we started working with Iron Goo's skilled and determined team, organic traffic helped us multiply both our sales and our revenue.”
“Thanks to Iron Goo, we reached a target we had called nearly impossible. We gained about 300,000 users in a short time and our revenue grew 2,500%.”
“Iron Goo is an agency that understands business instinctively. In 3 months they helped us succeed in a highly competitive industry.”
Find out what the engines say about you
We will run your business through the major AI engines and show you where you are named, where a competitor is named instead, and where the facts are wrong. Then we tell you what we would ship to fix it.
Talk to us