The short answer
AI does the legwork at Bearly Creative: research, monitoring AI answers, structuring data, and first drafts. A person makes every decision that reaches a client, from strategy and positioning to every published word. AI makes us faster. People decide what's worth saying.
Key takeaways
- AI is used at Bearly Creative to handle research, data structuring, and first drafts to increase speed.
- Critical tasks like strategy, client relationships, and final copy review are strictly human-led.
- Google's E-E-A-T framework prioritizes trust, making human oversight of AI content essential to avoid inaccuracies.
A year ago, prospects asked what tools we used. Now they ask something sharper: "How much of this is AI?"
It's a fair question. We sell AI search visibility, so we'd better use AI well. We'd also better be honest about where it stops.
Where do we use AI?
Wherever speed and scale help, and a person checks the result.
| Task | What AI does | What a person does |
|---|---|---|
| Research | Gathers sources, summarizes long reports, finds patterns | Opens the original source, checks every figure, decides what matters |
| AI visibility checks | Runs buyer questions across engines and logs the answers | Reads the answers, judges accuracy, spots the real gaps |
| Data work | Structures exports, cleans spreadsheets, drafts charts | Decides what the data means for the client |
| First drafts | Produces a starting structure from our brief and notes | Rewrites, cuts, adds the point of view, and signs off |
| Technical checks | Flags crawl, schema, and markup issues at scale | Prioritizes fixes against the client's goals |
Where don't we use AI?
- Strategy and positioning. Deciding what a company should stand for needs judgment, context, and a conversation.
- Client relationships. Calls, feedback, and hard conversations are human, always.
- Final copy. Nothing publishes without a person reading every word.
- Facts we can't verify. If we can't open the original source, the claim doesn't go in. That's why every post on this blog lists its sources.
Why does this matter for the content we publish?
Because it's what earns trust, with buyers and with search engines. Google's guidance doesn't ban AI-assisted content. It warns against using generative AI to produce large amounts of text without manual oversight, and it encourages publishers to explain how content was made when readers might reasonably ask.1
It also says trust is the most important part of its E-E-A-T framework, and that pages should make clear who wrote them.1 That's why our posts carry a named author and a "written and fact-checked by a human" note.
The risk isn't AI-written content. It's unreviewed content. One invented statistic or outdated claim, published under your name, costs more than the hours AI saved.
What can clients expect?
- Speed where it doesn't cost quality. Research and analysis that once took days can take hours.
- A named person on every deliverable. You'll always know who made the call.
- Sources you can check. Every claim in your content links to where it came from.
- Honesty about what AI can't do. Including telling you when a tactic is hype.
- The same method we use on ourselves. Our site, this blog, and our own AI visibility are the live test.
AI-native means we know these tools well enough to use them properly. Human first means we never let them make the decisions.
Read next: We ran our own AEO playbook on our site. Here's what we did.
Sources
- Google Search Central, Creating helpful, reliable, people-first content developers.google.com/search/docs/fundamentals/creating-helpful-content
About the author
Aimee van der Haar
Aimee founded Bearly Creative to give great startups and tech companies the marketing they deserve. She works across strategy, design, content, and AI search, and she still does the work herself.
