> ## Content Index > Fetch the complete content index at: https://chrislatham.ca/llms.txt > Use this file to discover other available public pages before exploring further. # Human First Marketing: What It Is and How to Do It - URL: https://chrislatham.ca/human-first-marketing/ - Published: 2026-10-26T22:00:00.000Z - Updated: 2026-10-26T22:00:00.000Z - Description: Human first marketing puts real people, judgment, and experience before automation. Learn a five-step process for creating content people trust. - Author: Chris Latham - Tags: Marketing Observations Human first marketing starts with something real from a person: a customer problem, lived experience, hard-earned judgment, or a belief they are willing to defend. Data and AI can support the work, but they do not get to invent the source or own the relationship. That is the whole idea. It sounds obvious until you look at how much marketing now begins with a blank prompt instead of a real question. The tool creates the idea, drafts the article, rewrites it for social, produces an image, and schedules the posts. The business publishes more. Yet the audience learns almost nothing about the people behind it. Human first marketing changes the order: > Start with the human source. Put AI backstage. I use a five-step process called the **Face-First Loop** to make that order practical. Before we get to it, we need to clear up one common misunderstanding. ## Human first does not mean anti-AI Human first marketing is not a vote for doing everything manually. AI can transcribe an interview, organize a rough explanation, find a missing step, suggest a stronger structure, and adapt an approved idea for another channel. That is useful work. I have built plenty of [AI-assisted marketing workflows](https://chrislatham.ca/built-with-ai/) because I do not enjoy paying with time for something a machine can handle well. But AI should enter after a person has supplied the part worth sharing. The human owns: - The problem worth discussing - The experience and examples - The opinion - The promise made to the reader - The final factual review - The response when someone writes back AI can help carry the idea. It should not tell you what you believe. Google draws a similar line in its publishing guidance. It encourages firsthand, people-first content and says generative AI can help with research and structure. The problem is not the tool. The problem is publishing scaled pages that add little original value. Read Google's [people-first content guidance](https://developers.google.com/search/docs/fundamentals/creating-helpful-content?ref=chrislatham.ca) and [guidance on generative AI content](https://developers.google.com/search/docs/fundamentals/using-gen-ai-content?ref=chrislatham.ca). I put it another way in [AI Should Be Your Ghostwriter, Not Your Brain](https://chrislatham.ca/ai-should-be-your-ghostwriter-not-your-brain/). A ghostwriter can shape your thinking into a clearer piece. They cannot invent your years of experience, hand you a point of view, and make it honest after the fact. Neither can AI. ## Why this matters now Producing content has become cheap. Trust has not. The 2026 Edelman Trust Barometer special report surveyed 17,688 people across 15 countries. Eighty-eight percent said trusting a brand was important or a deal breaker when deciding what to buy, roughly equal to value and quality. That finding does not mean every founder needs to become an influencer. It means trust belongs beside the business metrics, not in a soft section of the brand deck. See the [2026 Edelman findings](https://www.edelman.com/trust/2026/trust-barometer/special-report-brands?ref=chrislatham.ca). People need something they can evaluate. A recognizable expert explaining the work gives them a source. A specific example gives them evidence. An honest limit helps them judge the promise. A reply shows that someone is still there after the post goes live. Generic content gives them information without a reason to remember where it came from. This is why “authentic” is not enough. Anyone can add a founder photo and claim to care. Human first marketing needs evidence of a human contribution: a choice, a detail, a tradeoff, a mistake, a limit, or a point of view. Show the thinking. ## The Face-First Loop The Face-First Loop has five steps. It begins in the work, not in a content calendar. ### 1\. Start with something real Look for source material in the conversations already happening around the business: - A question a customer asked twice this week - A process you explain on every sales call - A detail people routinely misunderstand - A mistake that changed how you work - A tradeoff your competitors avoid discussing - A result that surprised you I met an HVAC owner who had explained the same part of his process to customers eight times in one day. Eight times. He did not see it as content. He saw it as Tuesday. That explanation was a stronger idea than another list of seasonal maintenance tips. Customers were already asking for it. The owner could explain it from experience. And the answer helped a prospect understand how he worked before making a decision. The full story is in [The Process You Explain Every Day Is Already Content](https://chrislatham.ca/the-process-you-explain-every-day-is-already-content/). If you do not know what to publish next, write down the last five questions customers asked. The pattern is often sitting there. ### 2\. Explain it before polishing it Record a voice note. Turn on a camera. Write the rough answer as though the customer were sitting across from you. Do not try to sound like content yet. The rough explanation contains things a polished template tends to erase: the analogy you naturally use, the part you warn people about, the order in which you teach the idea, and the phrase a customer would recognize from a real conversation. The first version may repeat itself. Fine. Its job is to preserve the source, not become the final draft. ### 3\. Put AI backstage Once the human material exists, give AI a narrow job. Try this instruction: > Organize this transcript into a clear article. Preserve my opinion, examples, uncertainty, and natural phrasing. Do not add claims or experiences. Flag anything that needs evidence and show me where I repeat or skip a step. Now the tool has boundaries. It can help create a draft, a shorter post, an email version, or a customer FAQ. But each output should trace back to the approved source. Read the result aloud. If it sounds clean but foreign, put the texture back. Restore the phrase you would actually say. Add the warning you give clients. Delete any claim you would not defend in a conversation. The goal is not to hide AI. The goal is to stop AI from hiding you. ### 4\. Give the asset one job Before publishing, decide what the piece is supposed to do. An **awareness** piece helps the right people discover your name or point of view. Look at relevant reach, audience fit, and whether people stay long enough to receive the idea. A **consideration** piece helps someone understand your process and decide whether you are a fit. Look at return visits, thoughtful replies, movement to deeper pages, and the quality of questions that follow. A **conversion** piece asks a qualified person to act. Look at sign-ups, booked calls, applications, purchases, or another defined result. One piece can influence more than one stage. It should still have one primary job. Otherwise, a narrow process video gets dismissed because it reached only 200 people, even if three ideal prospects watched it before booking a call. Or an awareness video is called a failure because it did not close a sale it was never designed to close. As I wrote in [A Million Views Can Still Be a Failed Video](https://chrislatham.ca/a-million-views-can-still-be-a-failed-video/), the headline number cannot tell you whether the content worked until you know why it exists. ### 5\. Let the response shape the next piece The audience gets a turn. Read the replies. Listen to how people restate the problem. Notice the detail they repeat, question, or send to a colleague. Then ask: - Did this reach the people it was meant for? - Did it create better questions? - Did someone take the intended action? - Did readers recognize the point of view? - What did they reveal that we misunderstood? Use those answers to choose the next source idea. That closes the loop. The content is no longer output fed into a schedule. It becomes part of an ongoing conversation with the people the business serves. ## How to tell if your marketing is actually human first Run the finished piece through this test: 1. **Can you identify the human source?** The idea should trace back to a real question, experience, observation, or belief. 2. **Did a person make the hard decisions?** Someone should own the claim, tradeoff, tone, and final review. 3. **Could a competitor publish it unchanged?** If yes, the specific experience or judgment may be missing. 4. **Is the tool supporting the idea or replacing it?** AI can shape and distribute. It should not fabricate the reason the piece exists. 5. **Does the asset have one job?** The CTA and measurement should match awareness, consideration, or conversion. 6. **Can the audience respond to someone?** A human should be available when the conversation deserves one. You do not need to pass this test perfectly every time. A product update can be short and functional. A policy page may not need personality. But if your authority content repeatedly has no source, judgment, or accountable person behind it, adding more will not solve the problem. ## Start with one question Do not turn human first marketing into another thirty-page strategy document. Today, capture one question you have answered more than once. Explain the answer without scripting it. Give the recording or rough notes to AI and ask it to organize what is already there. Review the result out loud. Then choose the job before you publish. That is one pass through the Face-First Loop. Simple enough to try. Specific enough to judge. Human enough to remember. ## Frequently asked questions ### Is human first marketing the same as customer-first marketing? They overlap, but human first marketing is broader. Customer-first marketing centers decisions on customer needs. Human first marketing also asks who supplies the idea, judgment, voice, and accountability inside the marketing process. ### Can a small business use human first marketing? Yes. Small businesses often have an advantage because the person doing the work is close to customer questions, decisions, and outcomes. Those interactions provide source material without a large research program. ### Can human first marketing scale? Yes, if the human source remains intact. A team can use templates, systems, and AI to adapt and distribute an approved idea. Scale becomes a problem when each new version drifts further from the original experience and no person reviews the result. ### Does every piece of human first content need a face on camera? No. Face-first does not mean video-only. It means visible human responsibility. Writing, audio, diagrams, and other formats can work when the person's experience, judgment, and accountability are clear. One naming note: **Human-First AI Marketing®** is a registered service mark used by Avenue9 for its philosophy and services. This article uses human first marketing in the broader sense and calls my process the Face-First Loop. See [Avenue9's canonical definition](https://avenue9.com/human-first-ai-marketing/?ref=chrislatham.ca). ## Put someone back in the work The internet does not need more content from nowhere. It needs people who know something, believe something, and are willing to stand behind it. Use AI to carry the boxes. Keep a person out front. If you want more honest observations about marketing, practical AI workflows, and what I am learning while building in public, join [THE LATHAM](https://thelatham.net/?ref=chrislatham.ca). --- ## Sources - [Google: Creating helpful, reliable, people-first content](https://developers.google.com/search/docs/fundamentals/creating-helpful-content?ref=chrislatham.ca) - [Google: Guidance for generative AI content](https://developers.google.com/search/docs/fundamentals/using-gen-ai-content?ref=chrislatham.ca) - [2026 Edelman Trust Barometer Special Report](https://www.edelman.com/trust/2026/trust-barometer/special-report-brands?ref=chrislatham.ca) - [Avenue9: Human-First AI Marketing®](https://avenue9.com/human-first-ai-marketing/?ref=chrislatham.ca)