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AI for SEO and Content Marketing: A Friend, Not a Foe (for Now, at Least)

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AI for SEO and Content Marketing: A Friend, Not a Foe (for Now, at Least)

The author’s views are entirely their own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.

Artificial Intelligence is nothing new. It has been running behind the scenes of many marketing tools for several years now.

But the key here is that it was running behind the scenes. We didn’t see it in action, and if it was making some of our tools smarter, we were not really paying much attention.

Later last year everything suddenly changed, with the launch of ChatGPT, which is able to complete all kinds of writing tasks instantly, including full articles and even code.

Now anyone can login and talk to the tool for hours, challenging it with all sorts of prompts and marveling at its ability to understand any task and complete it promptly. There came an endless flurry of articles sharing screenshots of amazing stuff the tool was capable of.

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And while it is fun to play with, the rise of ChatGPT was a phenomenon that raised quite a few scary questions:

  • Is it threatening any human professions? And how fast?

  • Is it going to kill human content and overwhelm the web with AI-generated articles?

  • Will people soon stop using search engines to find answers to their questions?

  • Where is it all going?

While I am very bad at making bold predictions and therefore am reluctant to give definitive answers to any of those questions, I am highly confident that:

  • AI technology will change the way we are doing just about everything (and this is not limited to the SEO industry or any other marketing-related discipline).

  • It will change the way people go about looking for (and finding) answers. But it won’t kill human-created content — if COVID-19 taught us anything, it’s that no technology will ever be able to replace human interactions. We strive for personal touches, personal styles, personal experiences, etc.

  • It is not leaving, and we are at the very birth of this new AI-driven world. There’s no going back. And to be honest, I think we are the luckiest generation to have witnessed both the birth of the Internet and the birth of AI.

With that all in mind, we basically have two choices now:

  • Ignore AI for as long as we can (I am sure there are still people who reject the Internet, and they are probably happy).

  • Start using AI now, and ride this wave as informed as we can. With every change, there’s an opportunity, and the only way to grasp it is to be in the midst of that change.

Now, there are endless ways to use AI for all kinds of tasks, but I am a marketer and an SEO, so this article will list the ways you can benefit from it for blogging, social media, and SEO tasks.

19+ ways you can use AI for content creation & optimization

Going back to one of the most popular questions people are asking: Will AI-driven content replace human-written content?

I know there are lots of deniers out there saying that AI will never replace humans for writing content. The truth is, it is already happening to some extent. AI can write better essays than college students. It’s better content than the average content that is being published online.

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Why wouldn’t Google want that, even if it is detectable? If it’s well-written and provides useful answers, Google will likely rank it, regardless of how it is created.

Google has been trying to become an answer engine for years, and AI technology is likely what will finally help them succeed. AI can already write, summarize and find answers better than most bloggers and faster than any of us.

And yet, good content is much more than good writing and correct answers. Good content does one or more of the following:

  • It expresses a personal opinion. People seek critique, feedback, and sarcasm when reading anything.

  • It reflects expertise on the topic that is based on in-depth education and years of experience.

AI technology can only repurpose other people’s content. It cannot do anything of the above. So if your content strategy was mostly about repurposing, it will sadly be impacted by AI, in a negative way.

And yet AI can turn quite useful for content creation tasks, including:

  1. Content summaries and meta descriptions

  2. Article intros and conclusions

  3. Article takeaways and outline

  4. Product descriptions strictly based on existing specifications (avoid any fluff content)

  5. FAQ sections and pages (based on your existing articles or a keyword you are planning to target)

  6. Press releases to distribute

  7. Podcast or video scripts

  8. YouTube video descriptions (or YouTube video summaries to use on your site for accessibility)

  9. Ideas (blind spots) to include in your existing articles (“What is my article missing?”)

  10. Missing steps or angles in your content or research

  11. More sources to cite as further reading, etc.

  12. Your About page and/or bio to use on social media profiles (prompt ChatGPT to be creative/funny/etc.)

  13. Keywords you are missing (and/or ask it to organize your existing keywords by search intent)

  14. Subheadings to break your content into more sections and subsections to improve readability

  15. On-page “jump to” links (Ask the tool to provide HTML code for those or even generate an on-page table of contents)

  16. Title suggestions to make it easier for you to create one

  17. Image anchor text for your whole article/page

  18. Not strictly SEO related, but you can ask it to create unique tweets, Facebook updates, and Instagram captions to promote your content

  19. Definitions for any term you mention (to optimize for featured snippets).

To get the best possible definition from ChatGPT, by the way, it’s a good idea to specify your target audience or its level of familiarity with the topic at hand, in the query. For example, you can prompt it to explain SEO to someone who hears this term for the first time:

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And yes, you can give it images to describe. This is useful for both SEO and accessibility:

AI for SEO and Content Marketing A Friend Not a

All of these ideas will improve your content creation productivity and quality. You can also use tools and extensions to find even more ways to use ChatGPT for SEO and content.

ChatGPT is not the only AI-driven tool that can be used for content creation. There are more tools that are worth checking out.

Narrato uses AI technology to help teams collaborate on creating content. With Narrato, you can use AI to generate content topics, create SEO briefs, assign tasks to writers, and have your content optimized and proofread.

1680848797 148 AI for SEO and Content Marketing A Friend Not a

Text Optimizer combines AI technology with semantic analysis, allowing you to create intent-optimized summaries for your articles:

1680848798 196 AI for SEO and Content Marketing A Friend Not a

AI technology and creativity

Linkbait and viral marketing are integral parts of any SEO strategy because they drive link equity and brand awareness (both are probably the most powerful ranking signals).

There’s one problem with both: You are limited to your imagination. Yes, you can ask for input from your team and customers, and you can copy your competitors. But all of those methods require quite some time and effort.

AI can make linkbait brainstorming a breeze. It can also considerably cut costs on creating linkable assets.

Start by using ChatGPT for linkable asset ideation. A few ideas of prompts:

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  • Come up with viral quiz ideas on …

  • If a site is selling …, which infographics should it create to generate links from bloggers and journalists

  • Generate linkable content ideas for a site that sells …

  • If you were a blogger writing on…, what would you eagerly link to?

  • What are some viral content ideas for … topic?

Make sure to experiment with your prompts. Not all AI ideas will be useful or usable, but you are bound to find quite a few that will get you inspired:

1680848799 434 AI for SEO and Content Marketing A Friend Not a

The golden rule of using AI is: The result is only as good as your prompt. You can get great output if you come up with a great prompt. So don’t stop iterating!

In this sense, AI requires creativity and hard work for it to operate to its best potential. AI-powered SEO is, therefore, still dependent on human effort and input, just like traditional SEO: It is not just about bigger budgets. In fact, in SEO creativity and expertise can easily win over huge budgets, and AI is not going to change that.

Likewise, you can ask it to create email copy for your journalist/blogger outreach.

ChatGPT can be incredibly creative. If you don’t believe me, check out this woman who asked the tool to write a letter to her child explaining that Santa wasn’t real. The result is unbelievably touching, and it is actually hard to believe it was generated by a machine:

1680848799 45 AI for SEO and Content Marketing A Friend Not a

Again, ChatGPT is hardly the only AI tool you can use. There are many others that can help you to generate visual assets for your content promotion strategies.

Photoleap offers a great AI image generation tool that will leave you speechless. Challenge the tool with the most ridiculous image description, and watch create an image for you within seconds:

1680848801 457 AI for SEO and Content Marketing A Friend Not a

Photoleap has AI integrated into its phone app, allowing you to create professional images without investing much money or effort.

Wave.video is another tool that uses AI to make multimedia content easier. Simply provide your URL and it will generate a video in minutes. The result is pretty basic, but you can use it to generate video summaries and social media videos. If you upgrade, you gain access to a more advanced editor to create even better videos. But those will take more time.

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1680848802 901 AI for SEO and Content Marketing A Friend Not a

For more ideas on how AI can help with creating unique images and videos, check out how Roger explores the world of generative AI imagery.

Thinking like a machine

Finally, as SEOs and content marketers, we need to get a better understanding of how AI mind works. There’s a lot of reading on that, but as a believer in tools, I suggest playing this game.

It lets you guess a daily word by associations: Start with any word and it will rate it based on how well it is associated with the word. You’ll find that the human brain works differently: Finding synonyms won’t work here… Here’s how I went from “earn” (my initial word) to “calculator”:

1680848802 647 AI for SEO and Content Marketing A Friend Not a

It is actually a lot of fun and helps you better understand the technology.

There’s also a great blog tracking AI development, new projects, and opportunities.

Conclusion

AI can do much more for your digital marketing strategy than I was able to list in this article. It can drive your customer support strategy (with technology like chatbots and IVR), it can help with brand identity creation (name, logo, etc.), it can scale your PPC strategy (helping you save time and money), and it can enhance your marketing monitoring tactics. And these are just some options that are easy and fun. I am not even going into advanced analysis, analytics, and targeting opportunities here.

Yes, things will change and they will change quickly, especially as search engines start actively integrating conversation features to quickly answer users’ queries (often without attributing any sources). But it’s not like we are going to be able to prevent those changes from happening by ignoring AI technology or denying its impact on everything we are doing.

From the not-so-long history of SEO, we know that SEO thrives when new technology emerges. We tend to find opportunities every time the industry seems to be doomed, and we will continue doing that.

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Let’s Start Treating Content More Like We Treat Code

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Let's Start Treating Content More Like We Treat Code

The technology space is pretty obsessed with preventing code defects from getting to production. We take great pains to make sure that a mistake doesn’t make it from the developer’s fingertips all the way through to the product system.

There’s an entire field called DevOps (short for “development operations”). This is something like a $5 billion industry. There are entire market segments filled with companies that tightly control the movement and testing of code.

Search for “DevOps diagram” sometime. You’ll be amazed at what you find—detailed schematics showing exactly how code should be copied, packaged, tested, and deployed. Developers who don’t have an artistic bone in their bodies suddenly turn into Da Vinci when describing in exacting detail how they want to orchestrate code deployments.

All of this is in search of one goal: prevent bad code from reaching production. A lofty goal, to be sure.

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…but why don’t we care so much about content?

Where we have majestic acrobatics on the code side, when it comes to content, the process is usually something like, “Well, Alice writes something in Word, then emails it to Bob, and he copies it into the rich text editor” then presses publish.

Congratulations, you have the tightest, most reliable codebase serving up terrible content. A+. Great job.

Content defects are a thing, and we don’t do enough to prevent them. In particular, we don’t look at content development as a process to be managed. We think it’s some kind of magic, not a flow of work with checkpoints, trackable assignments, and review gateways. We’re somehow convinced this would take the “soul” out of it or something.

So, while our developers get six figures worth of toys to make sure they can swap every line of code instantly without spilling their coffee, our content creators are copying and pasting things into Slack and yelling “I swear sent that to you last week!” over the cubicle wall.

We need to do better.

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Content creation isn’t magic—no more than code is magic. It’s a process that can and should be managed just like code deployments, and it deserves the same level of regard.

Your content creators need:

  • Library services. Your developers have source code management. They know where code is, all the time. They probably have versions of it dating back to when they were teenagers. These things exist for content as well—they’re called content marketing platforms (CMPs) and digital asset management systems (DAMs). They’re designed to store, organize, and version content assets so creators know where everything is.
  • Change management, in the form of editorial calendaring. Your developers know when code will be released (note: don’t do it on Fridays). They plan these things long in advance. But ask a content creator when Content Item X for the new campaign is launching, and they can only say something like, “I don’t know. I showed it to Bob. It’s in his court now…”
  • Workflow. Developers have detailed ticket management systems that can tie their actions down to the exact line of source code they changed to resolve a defect. These systems exist so that everyone knows, at all times, who is responsible for what. Meanwhile, the content editors can only shrug when someone asks who was supposed to edit the CEO’s blog post that she just announced from the keynote stage.
  • Content preview. I promise you that your development team has a graduated system of environments where they test code. They probably spend hundreds of hours maintaining it, so they can run code in isolation and know exactly how it works before they deploy it. Think of that fondly next time when your image caption is published in 30pt bold-faced font because no one told you that it wouldn’t be. (Incidentally, I’ve been thinking about preview a lot lately.)

Here’s why this is important:

Content defects matter. They can be far more damaging than code defects, while being so much harder to detect. By the time you realize something is wrong, the problem may have been existing in public for a long time, doing a lot of damage.

Imagine that you have a software company, and you’ve been trying to get an analyst to include your software in one of their reports. Your Analyst Relations staff has been consistently courting, cajoling, and hinting to this analyst that your software fits their segment exactly, and would be a great addition to the report.

The analyst finally decides to check things out. They go to your website, looking for evidence of all the things you told them about. They expected to find reinforcement of that information, that energy, that…vibe.

But, they didn’t. Their experience fell flat. They gave you a 20-minute chance, but then clicked away and didn’t look back.

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Oh sure, you had plans. You were going to revamp that part of the website, and you had mentioned it to Gary just before he went on vacation. You heard some rumors that people were working on it, and some content got changed, but you never saw and never had a chance to guide it. Content development seemingly happened in a far-off land somewhere. Normally, when something changed on the website, you were as surprised as anyone.

This is a content defect. The whole thing. One big defect.

Why don’t we categorize like this? Why don’t we call it what it is?

Maybe because it’s not…binary? With code, things often either work, or explode spectacularly, so we can stand back and confidently say, “Yup, that’s busted.”

But with content, there’s a spectrum—there’s a range. People can look at it and say, “yeah, that’s fine” even when it’s not.

The only solution here is process. You need a way to make sure that content is seen by the right people, and at the right time, and has a way of reflecting the right input.

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This happens with code all the time. We handle code exactingly, rigorously, and with due process and care.

We need to demand the same for content. And we need to start acknowledging that poor content is a failure of process, a failure of planning, and a failure of tooling.

The tools are available to avoid this. We need to implement them and use them.

Interested in learning how Optimizely Content Marketing Platform can better support your content creation process? See how it works in this quick video.

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Generative Engine Optimization Framework Introduced in New Research

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Generative Engine Optimization Framework Introduced in New Research

There are several AI chatbot-like features available in the current search engines, including Bing Copilot, Google, Bard, and Gemini. They help to optimize the content visibility in the search results with the help of an AI-powered Search engine known as a Generative engine or AI Search.

A traditional search engine like Bing, Google, or Yahoo ranks and displays information in the SERPs based on the search terms a user inputs. 🔎

The generative engine, on the other hand, generates comprehensive, accurate, and relevant results and information with the help of Generative AI or Large Language Models (LLMs) such as chatGPT, Gemini, and Claude. They understand and integrate information from various sources for the user’s queries.

In this blog, We will discuss the GEO that is introduced in the new research, its framework, and how it can change traditional Search engine optimization (SEO) practices and optimize content for visibility.

The Key Components of the GEO Framework and How They Transform Traditional SEO Practices

GEO is described in the research paper as: “A novel paradigm to aid content creators in improving the visibility of their content in Generative Engine responses through a black-box optimization framework for optimizing and defining visibility metrics. We facilitate systematic evaluation in this new paradigm by introducing GEO-bench, a benchmark of diverse user queries across multiple domains, coupled with sources required to answer these queries.”

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Traditional SEO depends upon the keyword volume, difficulty, and optimization for the specific search terms, which focus less on an interpretation relationship between the concepts of keywords or user queries. SEO practices prioritize text-based source content over other sources of content format where regular updating of fresh content is not a primary focus. Also, metrics like impression and click rates affect ranking system results in traditional methods.

GEO encourages detailed information over just the keyword, addressing the related main queries by creating depth content and potential subtopics with the understanding of concept and relationship, encouraging the other formats, such as visual, audio, and images, not just text-based. Moreover, it emphasizes the latest updated content information with continuous accuracy and relevance to provide the most accurate and up-to-date details.

The Impact of Introducing GEO on Website Ranking and Content Relevancy

A generative engine relies on traditional SEO practices like user intent and algorithms for ranking to a degree, such as keyword stuffing. Although it focuses on keywords, it tries to find connections and meanings beyond the keywords in order to create high-quality content.

GEO doesn’t directly indicate the web visibility or page ranking in the Search Engine Result Page. However, it can optimize the overall website visibility and indirectly drive user traffic to your websites through generated responsive data and information.  

GEO-optimized content provides the AI Search or a Large Language Model (LLM) with reliable and completely detailed information, enabling them to generate the most accurate and relevant information for responses to user questions or inputs.

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These AI-powered engines can deliver a vibrant user experience using optimized content for user engagement and interactive experiences. Furthermore, It also builds trust with a user as it relies on renowned and credible sources, which enhances the effectiveness and reliability of the generated response data and provides synthesizing information.

Comparison with Existing SEO Models: Why GEO Stands Out in Enhancing Search Engine Performance

GEO utilizes auto-generative algorithms for content generation based on predetermined objectives and standards where generated content can cover a broader range of keywords and related topics in various formats like image and visual.

A generative search engine uses modern optimization techniques that involve cognitive SEO, NLP (natural language processing), and structured data markup to maintain and improve content leverage, relevancy, and search engine visibility. In addition, it introduces new methods for determining citations’ importance and website visibility, as well as improving user-centric content by using impression metrics.

Traditional SEO models rely upon and use specific keywords to optimize and rank manually in search results. It uses traditional optimization techniques like link building, meta tags, and URLs.

In traditional search optimization, content creation and optimization can be slow and have low content scalability compared to AI-powered, requiring manual effort for generation and optimization. Constant monitoring and adaptation to platform algorithms are needed to produce the latest and updated information for dynamic user behavior.

Both are equally responsible for improving the brand or website’s online visibility; traditional SEO models require the manual touch for content creation and optimization. GEO tends to use generative responses automatically for content generation as per user queries, making it more effective for user-centric content creation, optimization, and stability in related topics or keywords.

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9 Test research findings to improve the website content in GEO

The researchers from Princeton University, Georgia Tech, Allen Institute for AI, and IIT Delhi tested nine various GEO approaches to improve site content for generative engines. Techniques that have been tried and tested over 10,000 search queries, nine optimization strategies were tested on something that “closely resembles the design of BingChat”:

1714643800 803 Generative Engine Optimization Framework Introduced in New Research

  1. Authoritative: The content was altered to be more compelling while conveying definitive claims.
  2. Keyword Stuffing: More keywords were added to match the query.
  3. Statistics Addition: Instead of a qualitative conversation, quantitative statistics were included.
  4. Sources: Relevant citations have been added. Like quotes statistics
  5. Quotation Addition: Quotations from reliable sources have been included.
  6. Easy-to-understand: Simplified the language.
  7. Fluency Optimisation: Improved fluency.
  8. Unique Words: Used in the text whenever possible.
  9. Technical terms: Technical terms have been incorporated into the content.

The data set for search queries was obtained from Google, Microsoft Bing, and Perplexity. Sources include AI Discover, GPT-4, and others.

So, focus on creating detailed and comprehensive blogs or articles by defining the relation and highlighting the context for deeper meaning. Utilize the various formats for content creation to enrich information and diversify the learning perspective.

Also, update your content with the latest information and trends to maintain regular effectiveness and relevancy in the generative engines.

Conclusion:

In the end, Generative Engine Optimization (GEO) provides a more automated, scalable, and adaptive method of content creation and optimization than traditional Search Engine Optimization (SEO) approaches, which need manual and constant work for the optimization and ranking. Compared to traditional search engines, generative engines give instant and detailed personalized information to users’ queries for improved engagement.

Conventional SEO uses metrics like impression, session duration, and click-through rate (CTR), whereas GEO proposes new metrics to measure the relevance and visibility of citations within generative engine responses, making users eliminate the need to visit individual websites for information as it generates the responses on users queries from the reliable, relevant, and various sources.

AI-powered search optimization is still developing and becoming popular since most users and business owners are using generative AI as their source of information and improved visibility with universally applicable diverse content formats.

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How To Develop a Great Creative Brief and Get On-Target Content

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How To Develop a Great Creative Brief and Get On-Target Content

Every editor knows what it feels like to sit exasperated in front of the computer, screaming internally, “It would have been easier if I’d done it myself.”

If your role involves commissioning and approving content, you know that sinking feeling: Ten seconds into reviewing a piece, it’s obvious the creator hasn’t understood (or never bothered to listen to) a damn thing you told them. As you go deeper, your fingertips switch gears from polite tapping to a digital Riverdance as your annoyance spews onto the keyboard. We’ve all been there. It’s why we drink. Or do yoga. Or practice voodoo.

In truth, even your best writer, designer, or audiovisual content creator can turn in a bad job. Maybe they had an off day. Perhaps they rushed to meet a deadline. Or maybe they just didn’t understand the brief.

The first two excuses go to the content creator’s professionalism. You’re allowed to get grumpy about that. But if your content creator didn’t understand the brief, then you, as the editor, are at least partly to blame. 

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Taking the time to create a thorough but concise brief is the single greatest investment you can make in your work efficiency and sanity. The contrast in emotions when a perfectly constructed piece of content lands in your inbox could not be starker. It’s like the sun has burst through the clouds, someone has released a dozen white doves, and that orchestra that follows you around has started playing the lovely bit from Madame Butterfly — all at once.

Here’s what a good brief does:

  • It clearly and concisely sets out your expectations (so be specific).
  • It focuses the content creator’s mind on the areas of most importance.
  • It encourages the content creator to do a thorough job rather than an “it’ll-do” job.
  • It results in more accurate and more effective content (content that hits the mark).
  • It saves hours of unnecessary labor and stress in the editing process.
  • It can make all the difference between profit and loss.

Arming content creators with a thorough brief gives them the best possible chance of at least creating something fit for purpose — even if it’s not quite how you would have done it. Give them too little information, and there’s almost no hope they’ll deliver what you need.

On the flip side, overloading your content creators with more information than they need can be counterproductive. I know a writer who was given a 65-page sales deck to read as background for a 500-word blog post. Do that, and you risk several things happening:

  • It’s not worth the content creator’s time reading it, so they don’t.
  • Even if they do read it, you risk them missing out on the key points.
  • They’ll charge you a fortune because they’re losing money doing that amount of preparation.
  • They’re never going to work with you again.

There’s a balance to strike.

There’s a balance to be struck.

Knowing how to give useful and concise briefs is something I’ve learned the hard way over 20 years as a journalist and editor. What follows is some of what I’ve found works well. Some of this might read like I’m teaching grandma to suck eggs, but I’m surprised how many of these points often get forgotten.

Who is the client?

Provide your content creator with a half- or one-page summary of the business:

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  • Who it is
  • What it does
  • Whom it services
  • What its story is
  • Details about any relevant products and services

Include the elevator pitch and other key messaging so your content creator understands how the company positions itself and what kind of language to weave into the piece.

Who is the audience?

Include a paragraph or two about the intended audience. If a company has more than one audience (for example, a recruitment company might have job candidates and recruiters), then be specific. Even a sentence will do, but don’t leave your content creator guessing. They need to know who the content is for.

What needs to be known?

This is the bit where you tell your content creator what you want them to create. Be sure to include three things:

  • The purpose of the piece
  • The angle to lead with
  • The message the audience should leave with

I find it helps to provide links to relevant background information if you have it available, particularly if the information inspired or contributed to the content idea, rather than rely on content creators to find their own. It can be frustrating when their research doesn’t match or is inferior to your own.

How does the brand communicate?

Include any information the content creators need to ensure that they’re communicating in an authentic voice of the brand.

  • Tone of voice: The easiest way to provide guidance on tone of voice is to provide one or two examples that demonstrate it well. It’s much easier for your content creators to mimic a specific example they’ve seen, read, or heard than it is to interpret vague terms like “formal,” “casual,” or “informative but friendly.”
  • Style guide: Giving your content creator a style guide can save you a lot of tinkering. This is essential for visuals but also important for written content if you don’t want to spend a lot of time changing “%” to “percent” or uncapitalizing job titles. Summarize the key points or most common errors.
  • Examples: Examples aren’t just good for tone of voice; they’re also handy for layout and design to demonstrate how you expect a piece of content to be submitted. This is especially handy if your template includes social media posts, meta descriptions, and so on.

All the elements in a documented brief

Here are nine basic things every single brief requires:

  • Title: What are we calling this thing? (A working title is fine so that everyone knows how to refer to this project.)
  • Client: Who is it for, and what do they do?
  • Deadline: When is the final content due?
  • The brief itself: What is the angle, the message, and the editorial purpose of the content? Include here who the audience is.
  • Specifications: What is the word count, format, aspect ratio, or run time?
  • Submission: How and where should the content be filed? To whom?
  • Contact information: Who is the commissioning editor, the client (if appropriate), and the talent?
  • Resources: What blogging template, style guide, key messaging, access to image libraries, and other elements are required to create and deliver the content?
  • Fee: What is the agreed price/rate? Not everyone includes this in the brief, but it should be included if appropriate.

Depending on your business or the kind of content involved, you might have other important information to include here, too. Put it all in a template and make it the front page of your brief.

Prepare your briefs early

It’s entirely possible you’re reading this, screaming internally, “By the time I’ve done all that, I could have written the damn thing myself.”

But much of this information doesn’t change. Well in advance, you can document the background about a company, its audience, and how it speaks doesn’t change. You can pull all those resources into a one- or two-page document, add some high-quality previous examples, throw in the templates they’ll need, and bam! You’ve created a short, useful briefing package you can provide to any new content creator whenever it is needed. You can do this well ahead of time.

I expect these tips will save you a lot of internal screaming in the future. Not to mention drink, yoga, and voodoo.

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This is an update of a January 2019 CCO article.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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