ChatGPT and Gemini
Conversational assistants pull from training data plus live retrieval. Your job is to be the clearest, most quotable source on the topics your buyers ask about, so the model reaches for you.
Search is splitting into two surfaces: classic rankings and AI answers. Kyle Eggleston helps your business get named and cited inside both, using generative engine optimization and answer engine optimization built on 20 years of SEO.
A working definition of GEO, AEO, and how language models decide which businesses to cite.
Ask ChatGPT for a dentist who takes weekend appointments, or ask Perplexity which CRM suits a small law firm, and you do not get ten blue links. You get a paragraph. One or two businesses are inside it, cited by name, and everyone else might as well not exist. The same thing happens in the AI summary at the top of Google. AI SEO is the work of making sure your business is the one inside the answer.
The field splits into two related disciplines. Generative engine optimization shapes how generative models understand and represent your brand, so they trust and quote you. Answer engine optimization structures your content so machines can extract clean, correct responses to specific questions. Together they replace the single goal of ranking with a new one: being the source the model reaches for.
The new front page
Each AI surface sources its answers a little differently. The strategy accounts for all of them, including Google AI Overviews.
No single trick gets you cited everywhere. ChatGPT and Gemini blend what they learned in training with live retrieval, Perplexity runs a fresh search on every question and footnotes its sources, and Google AI Overviews summarize pages the search engine already trusts. The common thread is that they all reward businesses that are easy to understand, easy to verify, and hard to ignore on their core topics.
Conversational assistants pull from training data plus live retrieval. Your job is to be the clearest, most quotable source on the topics your buyers ask about, so the model reaches for you.
Perplexity runs a live search on every question and footnotes its sources. Ranking well in classic search and publishing crisp, factual answers puts your site directly in those citations.
The AI summary at the top of Google draws from pages it already trusts. Strong organic presence, clean structure, and direct answers are how you earn a spot inside that box.
Because these systems lean on classic authority signals, strong traditional SEO remains the foundation. If you serve a local market, that same authority feeds your rankings too, which is why AI work pairs naturally with SEO services in Chicago.
Entity building, structured data, and citable formats are the levers of LLM SEO.
LLM SEO is the hands-on work of making your pages the kind of source a language model chooses to lift from. It starts with entities. Models reason about people, brands, products, and topics as connected things, so Kyle strengthens the associations that tie your business to the subjects you want to own.
Models reason about entities, not just keywords. Kyle strengthens the associations between your brand, your services, and the topics you want to own across your site and the wider web.
Schema markup tells machines exactly what a page is about. Clean, accurate structured data makes your content easier for retrieval systems to parse and quote correctly.
Direct answers, definitions, comparison tables, and short explainer sections are the passages LLMs lift. Content gets restructured so the useful parts are easy to extract.
The payoff is content that reads well for humans and parses cleanly for machines. A page that opens with a direct answer and backs its claims with specifics gets quoted far more often than a wall of vague marketing copy.
The recurring deliverable
You cannot improve what you do not measure. ChatGPT SEO here means tracking what AI tools actually say about you.
Rankings have long been trackable. AI answers are harder, because they vary by prompt, change as models update, and rarely show a tidy position number. The ChatGPT SEO deliverable solves that with a fixed prompt set. Kyle defines the questions your buyers genuinely ask, then runs them through the major AI tools on a regular schedule so you can watch your visibility move over time.
Each report shows where your business gets named, where a competitor is cited instead, and how the wording about you is shifting. That turns AI visibility from a guessing game into a measurable program, where the content and technical work of one month can be checked against real answers the next.
AI SEO builds directly on traditional SEO signals, so the right background matters.
Plenty of people started calling themselves AI SEO experts the week ChatGPT launched. But AI visibility is not a fresh discipline. It sits on top of the authority, relevance, and technical signals search engines have refined for years, and models borrow those same cues when deciding who to cite.
An AI SEO consultant who has done classic search for a long time already understands entities, structured data, crawlability, and the difference between content that ranks and content that merely exists. Kyle has been doing SEO since 2004, for everyone from Fortune 500 companies to early startups, and holds a 5.0-star rating on Google. AI SEO is the newest layer of a craft he already knows deeply, not a bandwagon he jumped on last week.
AI SEO here stays focused on search and answer visibility. If your goal is broader, and you want to bring AI into workflows, tooling, and decisions across the company, that is a full AI consulting engagement rather than a search project, and Kyle can help you scope that too.
A clear, measurable process for a surface that used to feel impossible to measure.
Kyle runs a fixed set of buyer prompts through the major AI tools to see where you show up, where competitors get cited instead, and what the models currently believe about you.
You get a prioritized plan covering entity gaps, content to build or restructure, schema fixes, and the classic SEO signals that feed AI answers, ranked by likely impact.
Kyle does the work directly: rewriting pages into citable formats, adding structured data, tightening technical signals, and publishing the answers your audience keeps asking for.
Each month you see how your citations moved across the prompt set, what competitors gained or lost, and where the next round of effort should go.
No jargon-filled dashboards. You get a straightforward monthly read on how your AI citations changed, what was built, and what comes next. If a tactic is not working, you will hear that plainly.
AI SEO is not right for everyone yet, and Kyle will say so during a call rather than sell you work you do not need. It pays off most for businesses whose buyers already ask AI tools for recommendations or comparisons before they visit a website.
If people research your category before buying, they are asking AI tools about it, and you want to be the name that comes back.
Businesses with existing authority have the strongest foundation to convert into AI citations, since the models already trust their pages.
When a single AI answer can replace a page of options, being the cited source is a real edge over rivals who ignore this surface.
Straight answers about getting your business into AI-generated results.
Tell Kyle what your customers are searching for and get an honest read on how AI SEO could put your business in the answer. A direct conversation with the person who would do the work, no scripted pitch.