What does AGENT stand for?

Answerable, Grounded in evidence, Easy for a machine to read, Named human attached, Trail back to the source. Five checks that decide whether an answer engine cites a page.

How is AGENT different from SEO?

Search optimization competes for a ranked link. AGENT competes for inclusion inside a generated answer. That rewards a first-paragraph answer, dated evidence, a named author, and working citation chains rather than keyword coverage.

How long does an AGENT audit take?

About fifteen minutes per page. The check is five yes or no questions, and the score is out of five.

Framework · Buyer-agent readiness

AGENT

AGENT is a five-check readiness test for content in AI search: Answerable, Grounded in evidence, Easy for a machine to read, Named human attached, Trail back to the source. Pages that pass all five get cited by answer engines. Pages that fail get skipped, no matter how well they rank in traditional search.

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What it is

Buyers are moving research from search engines to answer engines. The page that gets lifted into the answer is the page that a machine can parse, verify, and attribute.

AGENT is a repeatable score. Any writer, editor, or operator can run it on a page in fifteen minutes.

The five checks

Answerable

The buyer's question is answered in the first paragraph, not buried under setup. Agents lift the answer, not the introduction.

Grounded in evidence

Every claim carries a named benchmark, a date, and a source link. Adjectives do not survive a machine read.

Easy for a machine to read

Plain HTML with transcripts. Not trapped in a PDF, a gated form, or a page that only renders after interaction.

Named human attached

A real expert on every claim. Answer engines attribute to people. Faceless team bylines get skipped.

Trail back to the source

An agent can walk from the claim to its source without a dead end. A broken citation chain disqualifies the page.

The visuals

Figure

The AGENT scorecard

Five yes or no questions. Score out of five, per page.

AAnswerableIs the buyer's question answered in paragraph one?
GGroundedIs every claim backed by named evidence with a date?
EEasy to readIs it plain HTML with transcripts, not trapped in a PDF?
NNamedIs a real human expert attached to every claim?
TTrailCan an agent follow every citation to a working source?

Score: ___ / 5

Figure

The three tiers of answer-engine visibility

Tiers describe behavior, not audited market share. The percentages are illustrative until the Report publishes its own benchmark study.

Invisible, score 0 to 170

Never cited. Agent research skips the page.

Sometimes cited, score 2 to 322

Occasionally lifted. Answer quality is inconsistent.

Consistently cited, score 4 to 58

Regularly appears in agent-generated answers.

Illustrative until the Report benchmark study is published.

What you get out of it

Run AGENT and every page carries a score out of five. Pages at five get cited. Pages at one do not. Over time your share of answer-engine citations grows while traditional search traffic keeps shrinking.

Consistent inclusion in AI-generated answers to buyer questions in your category.
A content standard that scales, because the check is the same for every writer and editor.
Top-of-funnel resilience as buyer research keeps moving to answer engines.

The mistakes it prevents

The buried lede: Three paragraphs of context before the answer. Agents skip pages that do not answer first.
The adjective claim: Industry leading, transformative, best in class. None of it is verifiable, so none of it survives.
The PDF gate: The best evidence locked behind a form. Agents cannot read behind gates, so the evidence does not exist.
The faceless author: By the team. Answer engines attribute to people, and pages with named experts win the citation.
The broken citation: Linking to a landing page instead of the source. Chains that dead-end disqualify the whole page.

How it is used here

Every architecture teardown in the Report carries an AGENT score, and every reader can run the same check on their own site in an afternoon.

I type differently than I talk. When you're able to hear how someone actually speaks about their problem, versus just typing it out, it's way different, because then you hear the exact phrases and you can make content around that.
Jonathan Kvarfordt, Avenue 9 podcast

There's AI technology now that can literally replace the top of funnel. As soon as someone hits the website, they can have a conversation with an AI.
Jonathan Kvarfordt, New Workings podcast

Terms used here are defined in the glossary and explained in plain language in the AI and Revenue Dictionary.

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Each skill turns this framework into a job you can finish. Copy the quick prompt for one task, or download the SKILL.md file, a reusable set of instructions for an AI assistant, for repeatable work.

Make Your Company Citable by AI AssistantsA checked list of what an AI assistant can and cannot answer about you, and the fixes that make it cite you instead of a competitor.

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Common questions

What does AGENT stand for?: Answerable, Grounded in evidence, Easy for a machine to read, Named human attached, Trail back to the source. Five checks that decide whether an answer engine cites a page.
How is AGENT different from SEO?: Search optimization competes for a ranked link. AGENT competes for inclusion inside a generated answer. That rewards a first-paragraph answer, dated evidence, a named author, and working citation chains rather than keyword coverage.
How long does an AGENT audit take?: About fifteen minutes per page. The check is five yes or no questions, and the score is out of five.

Cite this framework

Kvarfordt, Jonathan. "AGENT." The Revenue AI Report. https://www.therevenueaireport.com/frameworks/agent

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