How I Use AI in My Copywriting Services: Tools, Rules & Outcomes You Should Know

Here is a breakdown of my AI copywriting policy. It includes what I use, what I never do, and how this workflow gives your audience something worth reading.

How I Use AI in My Copywriting Process: The Short Version

AI tools assist me behind the scenes with tasks related to research, outlining, ideation, and QA of my own writing. In the case of the latter, I use it to suggest alternatives to sentences or clarify concepts that, for whatever reason, aren’t landing the way they should. Call it another pair of (virtual) eyes on my work.

But, even with those suggestions, any finalized copy I submit as a first or revised draft is material I’ve physically sat and typed. The voice, tone, and structure are mine and not machine-made.

The same goes for submitted marketing strategies. AI informs my thoughts and opinions, just like an all-human research or marketing team might if I were an agency, because I want to make sure you’re getting the best possible final product. But I always keep my own counsel regarding what ends up in my content.

With this process, I deliver:

• Faster production cycles that don’t cut corners
• More thorough research and topical angle exploration
• Tighter copy edits that bypass any human-created clunkiness

Here’s a closer look at where AI fits in at every stage of the content creation process:

Where AI Fits in My Content Process

Overall, AI helps me get from idea to draft much quicker than I could if the process were unassisted by any of this technology.

What follows is an example content creation workflow, broken down in stages, that reflects typical AI usage.

Research and discovery

During the research phase, I use AI to:

• Spot themes, questions, and objections your ICP raises in real life
• Stress test angles and, in some cases, entire outlines by poking holes in logic
• Triage sources across a wide variety of formats to avoid outdated info or broken links
• Fact and claim verification, especially in an industry that I’m far from being an expert in

These measures ensure that statistics, explanations, and conceptual breakdowns are properly vetted before the first draft creation begins.

Also, to be crystal clear, I always fact-check any AI-generated information and never accept its assertions blindly.

Transcription and note-taking

If I’m conducting customer interviews as part of a guide or case study project, I use AI to:

• Recorded customer calls or interviews and used the transcription as a base for pull quotes
• Extract actionable highlights by funnel stage so they can be reused in content down the road

Brainstorming and ideation

During the outlining process, I use AI to help me with:

• Headlines, hooks, and thought starters that I can use to fine-tune angles and framing devices
• A gut check against what’s been written on the topic before in the industry to avoid repetition

Editing, QA, and readability checks

Before I submit any draft of a project, AI helps me with:

• Spelling, syntax, grammar, and clarity checks to eliminate awkward or ineffective prose
• Brand voice and style guideline adherence, based on your brand’s documentation
• Additions to my copy that can take a sentence or paragraph from good to great

Once again, for emphasis: Those suggestions are always vetted by me with a final rewrite and never copy-pasted blindly into freelance content drafts or strategy documents.

Where AI Does Not Replace Me

The short answer: AI never replaces me when it comes to creating the submitted draft you see in any given project.

What that means in practice:

• No fully AI-generated drafts. Not for blogs. Not for landing pages. Not for emails.
• No brand voice “cloning.” Your content’s voice gets built from context you provide.
• No fabricated quotes or references. I have robust processes in place to avoid hallucinations.
• No sensitive or private data shared with tools without your sign-off first.
• No “push button publish.” My workflows always goes strategy first, draft second. AI support only where needed.

Data Privacy, Confidentiality, And Client Consent Under My AI Policy

When AI is implicated in my content creation process, I take every step possible to protect your information.

Here is the standard:

• Consent first. I document where AI tools will be used in the project scope. If you prefer a no-AI workflow, I will run one.
• Minimum necessary. I only share the fragments a tool needs for the task. Raw pitch decks or customer lists aren’t used unless otherwise specified.
• Sanitized inputs. Sensitive identifiers are removed by default.
• Privacy-safe modes are used when available. I prefer tools with opt-out data-sharing settings.
• No uploads of confidential material happen unless you confirm in writing first.
• Provenance. I keep a simple log of where AI supported the work so I can disclose use clearly if you ask.

Please note that confidential material does not include any public-facing content available on your brand’s website, social media accounts, and other indexed web content.

Originality, Attribution, and Copyright Considerations in My AI Workflow

Where content originality is concerned, I’ll reiterate that the prose I deliver to you in a submitted draft is fully authored by me. I never submit fully AI-generated content for any project or use case.

Relatedly, I do not accept rewrite requests based on AI content detection bot results. Those tools generate far too many false positives to be considered reliable by serious industry professionals.

Also, know that:

• The final deliverable is human authored by me.
• If a claim or quote is in your content, it is verified by me.
• Any third-party sources are cited in-text or in a references block, based on your brand standard.
• If AI art is ever proposed for ideation, I label it as such and, if requested, replace it with licensed or custom assets for production.

Quality Assurance: The AI + Human Copy QA Checklist I Run Before Delivery

The following breakdown is the current version of the system I’ve put in place to ensure you’re getting the best possible content asset every time.

Audience and intent

• Copy aligns to stage, persona, and job to be done.
• Core promise is explicit above the fold.
• Dissonance removed. No mixed messages.

Evidence and trust

• Specific proof. Customer quotes. Benchmarks. Screenshots. Third-party validations.
• Links checked. Claims verified.

Voice and readability

• Brand voice rules applied.
• Sentence flow tuned for skimming on mobile.
• Jargon trimmed.

SEO and findability

• Primary keyword included with intent.
• Natural LSI terms woven in.
• Internal links placed to key pages.

AI assists here

• Mechanical checks for typos, repetition, and filler.
• Suggestions captured in comments. Human judgment decides.

Most of this information is reviewed long before the final QA check begins. But, as much as I trust my abilities and judgment at this point in my career, an extra verification step never hurts.

Impact On Timeline, Scope, And Pricing

AI saves hours on the mechanical parts. I invest those hours into deeper research, stronger angles, and more iterations.

What that means for you is timelines tighten, quality climbs. and my rates do not yo-yo based on whether I clicked a tool.

Bottom line? You pay for outcomes and expertise.

Acceptable And Prohibited Uses for AI in my Work

Here’s a brief rundown of what falls into each category:

• Allowed tasks: research support, summarization, transcription, brainstorming, readability checks, QA flags.
• Prohibited tasks: first drafts, final wording, sensitive data processing without consent, fabricated sources.

FAQs About AI Use in My Copywriting Services

Do you use AI to write the copy?

No. AI does not write your website copy, ads, emails, or blogs. It assists with research, transcription, and QA. The final wording is mine.

Will my content pass AI detectors?

Detectors are inconsistent and easy to fool. My approach is simpler. We write like people. Short sentences. Real examples. Clean logic. Your audience feels the difference. Search engines do too.

How do you keep my data safe when using AI tools?

Consent first. Minimal inputs. Identifiers removed. Privacy-safe modes when available. Sensitive data stays out of tools unless you approve.

Do you disclose AI use in deliverables?

If you want an explicit note, I include one. I also maintain a short internal log of where AI assisted. Clear and simple.

Which AI tools do you use and why?

Category view. Transcription to speed note-taking. Summarization to triage long sources. Brainstorming to widen idea sets. Editing checks to surface mechanical issues. Every tool is optional if you prefer no AI.

Can we request a no-AI workflow?

Yes. Just say so in the kickoff. I will run a 100 percent human workflow.

How do you prevent hallucinations and bad facts?

I treat AI outputs as suggestions, not truth. I verify key claims manually and only cite trusted sources.