How We Use AI at Ranko Media

This page details how we use AI to do our work at Ranko Media for our own website and for our clients.

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How We Use AI

How We Use AI to Create Content

We use AI to support content creation, where it improves efficiency without compromising quality or accuracy.

For high-value content, including core pages, strategic assets, and deep research, writing is handled entirely by humans. These pieces require judgment, context, and experience that AI tools cannot provide, not so much for writing, but for research. The content needs to be accurate, and AI isn’t accurate enough yet for us to trust it completely for important pages. We may use AI in small ways to summarize short sections or write an intro, but the core work is done by humans.

For informative content and lower-risk pages, AI may assist with early drafts, outlines, or synthesis. AI may assist with ideation, but research is still needed by humans to qualify an idea before having an AI start drafting anything.

In all cases, subject matter experts are involved before and after AI is included in the process:

  • Before writing, human experts are required for audience research and content ideation.
  • After writing, subject matter experts review, edit, and refine the content before publication.

We do not publish unedited AI output, and humans remain responsible for the final result.

AI helps speed up parts of the process, but it does not replace research, expertise, or editorial judgment.

This is what we’ve determined is the proper approach to make sure our work leads to pages that provide real value and produce real business outcomes.

How We Use AI for Outreach

We use AI to support outreach workflows, primarily to help manage scale and reduce manual overhead, not to automate relationships.

AI may be used to:

  • Help gather and organize large sets of potential prospects.
  • Assist with sorting, categorizing, or prioritizing outreach lists.
  • Support draft variations or messaging ideas.
  • Summarize background information or past interactions.

While AI and data tools help us work through large volumes of information, humans are involved with:

  • Audience research and campaign ideation, to make sure the work aligns with business outcomes.
  • Drafting outreach templates.
  • Curating outreach lists and picking out individual contacts.
  • Writing pitches to target contacts in real time.
  • Managing relationships with leads.

We do not rely on raw downloaded lists or fully automated targeting. Every list is reviewed, refined, and filtered by people to ensure relevance and quality before any outreach begins.

All outreach messaging is reviewed and edited by humans before it is sent. We do not use AI to send bulk, fully automated messages or to impersonate personal relationships. In our experience, this does not work to achieve real business outcomes for our clients.

Targeting decisions, list selection, tone, and follow-ups are handled by our team, with AI used only as a supporting tool.

How We Use AI for Technical Work

AI can be useful for supporting technical tasks, especially where speed and pattern recognition are helpful.

We may use AI to:

  • Assist with debugging or troubleshooting.
  • Review code for potential issues or improvements.
  • Generate starting points for scripts or documentation.

AI output is always reviewed by a human before being implemented. We do not deploy AI-generated code or technical changes without validation, testing, and approval.

Technical decisions remain the responsibility of our team, and AI is used as a support tool, not an authority.

Always Looking Ahead

AI tools will continue to evolve. As the technology continues to advance, so will we. What won’t change is our focus on quality, accountability, and trust. These are the things that drive business outcomes.

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