How Agencies Can Use AI to Deliver Client Content Faster

8 minutes
A team working together around a table with laptops, charts and notes, seen from above

When an agency owner tells me their content is slow, they almost always blame the writing. But when we look at where the days actually go, the writing is rarely the problem.

It’s the brief that took three emails to agree. The research nobody double-checked. The second round of edits because the draft didn’t sound like the client. And the finished article that sat waiting for approval for a week.

AI can speed up almost every one of those steps. Used badly, though, it can make them slower. A fast draft full of mistakes just means more editing and less trust.

So let me walk you through how to use AI across the whole content workflow, based on the research and on how we produce content for our agency partners every week.

What the research actually says

You’ve probably seen the headline numbers. In a 2023 experiment published in Science, professionals using an AI assistant finished writing tasks 40% faster, and their work was rated 18% better.

Impressive, right? There’s a catch, though. The tasks were short and self-contained, and nobody checked the facts in what people wrote.

Real agency work looks messier. In the Content Marketing Institute’s 2026 report, 87% of B2B marketers using AI for content said productivity went up. Only 39% said content performance did. And 12% said quality actually got worse.

Among B2B marketers using AI to create content, the share who say each area improved: productivity 87 percent, operational efficiency 80 percent, creative capabilities 65 percent, content quality 58 percent, content performance 39 percent.
The gains are real, but they show up in speed long before they show up in results.
Among B2B marketers using AI to create content, the share who say each area improved: productivity 87 percent, operational efficiency 80 percent, creative capabilities 65 percent, content quality 58 percent, content performance 39 percent.
The gains are real, but they show up in speed long before they show up in results.

Orbit Media saw the same gap in its annual survey of over 1,000 content marketers. Almost everyone now uses AI, and a blog post takes about 3 hours 20 minutes to write, down from over 4 hours in 2022.

Yet only 13.9% say their blog gets strong results, the lowest ever. And none of the ways people use AI showed any link to better performance.

AI made content faster for almost everyone. It made content better only for the teams who used the saved time on something a machine couldn’t do.

So what does work? The same survey found that publishing original research makes strong results 50% more likely, and posts with two or three visuals do best. That’s where your saved hours should go.

A seven-stage workflow that works

Here’s the workflow we use. At every stage, AI handles the repetitive part and a person handles the part that needs judgement, experience or the client’s approval.

A content pipeline with AI. Brief and voice guide: AI turns notes into a first brief; a person agrees goals and the client's voice. Research: AI finds and summarises sources; a person checks every source is real and current. Outline: AI suggests structures; a person picks the angle. First draft: AI speeds up the blank page; a person adds experience, examples and opinion. Edit and fact-check: AI flags gaps; a person verifies every fact, title and alt text. Visuals and formats: AI drafts captions and repurposed copy; a person designs graphics and approves every version. Approval and publishing: AI formats and checks links; the client signs off before it goes live.
AI handles the repetition. People handle judgement, experience and sign-off.
A content pipeline with AI. Brief and voice guide: AI turns notes into a first brief; a person agrees goals and the client's voice. Research: AI finds and summarises sources; a person checks every source is real and current. Outline: AI suggests structures; a person picks the angle. First draft: AI speeds up the blank page; a person adds experience, examples and opinion. Edit and fact-check: AI flags gaps; a person verifies every fact, title and alt text. Visuals and formats: AI drafts captions and repurposed copy; a person designs graphics and approves every version. Approval and publishing: AI formats and checks links; the client signs off before it goes live.
AI handles the repetition. People handle judgement, experience and sign-off.

1. Start with a proper brief and a voice guide

Most slow content starts with a vague brief. So paste your call notes or the client’s email into an AI tool and ask it to shape them into a brief: audience, goal, key message and call to action.

Then agree that brief with the client before anyone writes a word. It feels slower. It saves you a whole round of edits.

Do the same once for every client’s voice guide. One page on how they sound, words they love and hate, and a few examples of writing they like. It’s the biggest reason drafts come back right the first time.

2. Let AI find sources, then check them yourself

AI is brilliant at building a reading list fast. It’s much less reliable about whether those sources are real, current and quoted correctly.

Even Google’s own guidance says generative models “don’t retrieve facts, but predict a likely sequence of words.”

So open every source yourself, and go to the original: the actual report, the company’s own announcement, the study itself. If you can’t trace a number to something you’ve read, leave it out.

3. Ask for several angles, then pick yours

Ask AI for three or four different outlines, not one. The first idea it gives you is usually the obvious one, and your competitors have already written it.

Your job is to pick the angle only this client can write, because of their experience, their data or their opinion.

4. Use AI for the first draft, but feed it something real

Getting past the blank page is where AI genuinely shines. But here’s the thing: a draft built only from what’s already online can’t say anything new.

So before you draft, collect the good stuff. A 15-minute call with the client’s expert. Real examples from their work. Their own numbers.

Feed that in, then rewrite the draft until it sounds like someone who really knows the subject. Because it should be.

5. Fact-check everything, including the small bits

This is the stage that protects your reputation, and the one most teams rush.

Google now says it’s “critical to manually factcheck and review all AI-generated content” before publishing. That includes page titles, meta descriptions, structured data and image alt text. We explained what that means in practice in Google’s new rule on fact-checking AI content.

AI can still help you here. Ask it to point out unclear sentences or claims that need a source. Just don’t let it decide what’s true.

6. Turn one article into six formats

Once a piece is approved and checked, AI really earns its keep. Turning one article into a LinkedIn post, a carousel, a newsletter section and a video script is repetitive work. It’s where we save the most time.

One researched article, many formats. From a single fact-checked article an agency can produce a LinkedIn post, a social carousel, an email newsletter, a short video script, FAQ answers for the website, and a summary for the client's report. AI drafts each version; a person checks and approves each one.
You do the research once. Every extra format reuses it, so it’s accurate too.
One researched article, many formats. From a single fact-checked article an agency can produce a LinkedIn post, a social carousel, an email newsletter, a short video script, FAQ answers for the website, and a summary for the client's report. AI drafts each version; a person checks and approves each one.
You do the research once. Every extra format reuses it, so it’s accurate too.

Notice the order, though. Repurpose after the fact-check, never before, so every version carries the corrected facts.

And keep the visuals real where it matters: charts built from real data, photos of real work, graphics in the client’s brand.

7. Let AI prepare it, and the client approve it

A content plan calendar shown on a tablet screen
A shared content calendar keeps every piece visible until the client approves it.

AI can format the post, suggest internal links, check every link works and draft a meta description for you to review.

What it can’t do is approve anything on the client’s behalf. If a piece makes a claim about their business, like years in business, service areas or guarantees, they sign it off. Every time.

Want to see it in practice?

These two talks by Andy Crestodina, co-founder of Orbit Media (the people behind that survey), are well worth a watch. In the first, he walks through practical ways to use AI for better quality content, prompts included.

5 Ways Content Marketers Can Use AI for Better Quality and Performance, with Andy Crestodina (SE Ranking).

The second was recorded for agency owners, and covers using AI for SEO and content.

AI for SEO with Andy Crestodina, AI for Agencies Summit (The Artificial Intelligence Show).

How we do it at CreatoMark

We produce content for agencies every week, under their brand, so none of this is theory for us.

Our rule is simple, and it’s written on our content services page: our writers may use AI for research or outlines, but every piece is written, edited and fact-checked by a person before it reaches you.

A few habits make the biggest difference. Every client gets a voice guide before the first piece. That’s why most pieces need one round of edits or none, even though two are included.

Every post and email waits in a shared calendar until you or your client approves it. And our designers make the graphics, carousels and short videos in the client’s own brand style.

This blog works the same way. Every figure links to its original source, every quote comes from that source, and every chart is drawn from the data it shows. It takes longer than pressing “generate”. It’s also why it’s worth reading.

A few guardrails before you start

  • Protect client data. Don’t paste confidential information into AI tools unless your client agreement and the tool’s terms allow it.
  • Don’t chase volume. Google’s spam policies call out using AI “to generate many pages without adding value for users.” Faster should mean better pieces sooner, not more thin ones.
  • Be open about your process. Many agencies now put a short AI policy in their contracts.
  • Name an owner. One person is responsible for every piece being accurate. Never “the tool”.

Don’t give the time savings away

Here’s a trap I see a lot. AI makes the team faster, the agency keeps billing by the hour, and it quietly earns less for the same work.

You’ll usually do better pricing content by the outcome: a researched article, a monthly package, a campaign. Then the time you save becomes margin, or goes into the research and visuals that make content perform.

I wrote more about this in raising your prices in the AI era. And if you want the bigger picture beyond content, read how agencies can use AI to deliver faster.


The bottom line

AI can take hours out of every piece of client content. But speed on its own won’t make that content work.

Use AI for the repetitive stages. Then spend the time you save on what clients can’t get from a machine: real expertise, original evidence, careful fact-checking and a voice that sounds like them.

And if you’d rather have a team that already works this way, we provide white-label content and social media and email under your brand. Book a call and let’s talk about your clients.

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