Explained

A plain-English reference and glossary for answer engine optimization, the work of getting a brand named and cited inside the answers AI tools give.

AEO wins a mention inside AI answers while SEO wins a click from a list. What actually changes, why it matters now, and where to put your effort.

There is rarely a single decision maker in a complex B2B deal. A group decides, they often disagree, and knowing who sits in it changes how you sell.

Brand and performance marketing get framed as rival camps fighting over budget. They work as two ends of one machine, and here is how they fit together.

Checkout is where intent is highest and attention is lowest. With average cart abandonment near 70 percent, small fixes to forms and payment pages pay off.

Marketing data used to flow freely. Browsers, regulators, and Apple closed that world, and the split between first-party and third-party data now drives.

AI search feels like magic from the outside. You type a question, and a paragraph comes back that reads like a knowledgeable colleague wrote it, often with a few sources.

Most marketers know what they want from Google but not how a page gets there. This walks through the three jobs Google does, in the order they happen.

Keyword research is finding the words people actually use, then judging which are worth your time. The finding is easy. The judging is the real work.

Search intent is the goal behind a query, what someone is trying to do once the results load. The words they type are only a rough signal of that goal.

Sentiment analysis turns human feeling into a number by reading text and labeling it positive, negative, or neutral. Here is how the systems really work.

Most teams cannot say how many tools they pay for or which ones earn their keep. A practical way to map your stack, find overlap, and cut what nobody uses.

Most teams set their first price by feel. Someone in a meeting says a number, it sounds reasonable, and that number quietly becomes the price for years.

Brand problems rarely announce themselves. A brand audit catches the slow drift on purpose, the homepage that stopped matching the deck, before it costs you.

Most content audits produce a spreadsheet nobody acts on. The fix is to decide the rules before you look at the data, and to force every page into one of four outcomes.

Most marketing dashboards stop one step short of money. This covers the gap between a form fill and a closed deal that shows up weeks or months later.

A markdown file at the root of your site that tells language models what matters. Two years after it was proposed, the evidence that anything reads it is thin.

Marketing runs on a small set of numbers that show up in every board deck and every weekly standup, and most of them are easy to define wrong.

The clean break from cookies never happened. Google kept third-party cookies in Chrome and wound down Privacy Sandbox. Here is how to measure marketing now.

The fight between sales and marketing is rarely about personalities. It comes down to a missing contract and no shared definition of what counts as a good lead.

Most paid budgets start with a percentage someone pulled from a board deck. A better way to size spend around what each channel can actually return.

Web pages are written for people, but a machine sees a wall of text. Structured data spells out what each part means so search engines and AI can use it.

Almost every team has the funnel drawn on a whiteboard. It has been the default for a century, and it is wrong in ways that quietly shape bad decisions.

Most teams think they have a value proposition. What they usually have is a sentence that describes what the product does, dressed up with a few adjectives.

A backlink is a link from one website to another. What they are, why search engines have leaned on them since PageRank, and why they still matter today.

Attribution shows which channels showed up before a sale. Incrementality testing shows which ones caused it. Here is how the test works and why it matters.

Intent data is one of the most oversold categories in B2B marketing, and also one of the genuinely useful ones, which is a confusing combination.

A customer data platform pulls customer data from many sources into one lasting profile per person, then makes those profiles usable across your other tools.

Brand sentiment is how people actually feel about a brand, beyond follower counts and reach. Here is what the term means and why teams keep using it loosely.

Traditional software gets sold by a rep with demos and quotes. Product-led growth flips that, letting the product itself find users and earn the sale.

Most landing page advice debates button colors before the question that matters, whether the page keeps the promise that brought someone to it.

Most teams treat attribution as a fact about where sales come from. It is really a bookkeeping decision that splits credit by a rule someone chose.