Ai Search

The AI Search Guides Library: Mechanisms, Platforms, and Terms

These guides explain how AI search engines decide which business to name in an answer, and what you can change on a website to become that business. Each one takes a single piece of the system, a platform, a mechanism, or a single term, and explains it plainly enough to act on.

This is a library, not one long article. Start wherever your question is sharpest: how a model retrieves a source, why a competitor keeps getting cited instead of you, or how to check your own visibility this afternoon.

How the library is organized

The guides fall into four groups, and you can read across them in any order. Most people start with a platform they already use, then work backward into the mechanism once they see why their site is or is not getting named.

Start with the mechanism, not the tactic

Most advice about AI search skips the part that matters: how a model actually reaches your words. Modern assistants do not recite memorized training data when they answer a live question about a local business. They retrieve. The engine runs a search, pulls a handful of candidate pages, reads them, and composes an answer grounded in what it just read. Your page competes at that retrieval step, long before any sentence is generated.

This single fact reorders your priorities. A citation, where the model names your site as the source of a claim, is earned by being retrievable, quotable, and unambiguous about who you are. A mention, where your name appears with no link or source, is weaker and easier to lose. The mechanism guides and the glossary show exactly where each one comes from, so you stop optimizing for things the model never sees.

It also explains why thin, unstructured pages struggle in AI search even when a classic search engine still lists them. A model has to be able to lift a clean, self-contained claim from your page and attribute it to you. Pages that bury the answer in vague prose give the model nothing safe to quote, so it reaches for a competitor that made the sentence easy.

Platform guides

Each assistant behaves differently, and a tactic that helps in one can be irrelevant in another. These guides cover what is specific to each engine: where it gets its source material, how it composes an answer, and what tends to earn a citation there.

ChatGPT

ChatGPT search leans on a live web index and on structured signals about your business. The guide covers what it reads, where it pulls local data, and why its answer about you can lag behind what your own website already says.

Google AI Overviews and Perplexity

Google AI Overviews draw on the same index that powers classic search, so a solid SEO foundation carries over directly. Perplexity is built around visible citations and rewards sources that are easy to quote and verify. The guides treat each on its own terms rather than assuming one playbook fits all three.

Hands-on guides

Reading is not visibility. These guides turn the theory into checks you can run today. Audit your own presence across the major assistants, run a fixed prompt panel so your results stay comparable over time, and use the crawler reference to confirm the right bots can actually reach your pages. If an assistant cannot crawl you, nothing else in this library will help.

Where the guides end and the work begins

These guides are built to make you capable on your own. Most of what they describe is work a focused in-house team can do. The honest limit is time and iteration: becoming the cited source for a competitive query means structuring content, fixing entity signals, keeping crawlers unblocked, and watching the answers as they shift week to week. None of it is secret, but all of it compounds, and compounding takes consistent attention.

Ninetyfifth Marketing does that work, but only on websites it builds, on a published monthly retainer, and for one business per industry in a given city. If you would rather learn first and decide later, that is exactly what this library is for. When you want the commercial side, the service overview explains the method and the pricing page lays out the model in plain terms. No guide here will promise you a ranking, and neither will we.