Use case · Growth · Marketing
Content Research & Strategy
Content research and strategy automation takes the reading, sorting and summarising out of content marketing. Interviews become structured strategy documents in your own framework, prospects are researched against what you can offer them, and SEO articles and thought-leadership pieces are drafted for your writers to finish. Every workflow ends with a person's review.
- Start with the one that eats the most hours
- 4 workflows
- Behind every strategy document
- Your framework
- Before anything is published
- Human edit
What is AI content research and strategy?
AI content research and strategy is a set of automations that do the research-heavy part of content marketing. They turn recorded interviews into positioning documents, match a prospect's needs to your capabilities, build SEO briefs and drafts from keyword data, and write timely takes on industry news. A person reviews every output before it's used.
The aim is a strong first draft, not a finished piece nobody has read. Your strategists and writers start from the research instead of a blank page.
Why does content research eat so many hours?
Content research eats hours because most of it is reading, sorting and summarising: interviewing the client, pulling out their positioning, studying prospects, reading industry news and finding keywords worth ranking for. It's skilled work, agencies and marketing teams do it before anyone writes a word, and it's the first thing rushed when deadlines close in.
Most of it is reading
Transcripts, prospect websites, news sites and keyword reports all have to be read and summarised before the real thinking starts.Senior people do the summarising
The strategists who should be making judgements spend their hours sorting notes.It's the first thing to be rushed
When deadlines close in, research gets cut, and the content that follows is thinner for it.
Which research workflows can be automated?
Four content research workflows can be automated, each running separately: interview to strategy document, a client-knowledge research tool for prospects, an SEO article pipeline, and a thought-leadership writing aid. Most teams start with the one that eats the most hours, then add the others once the first is running.
1. Interview to strategy document
A client or subject-matter interview is recorded
Record and transcribe
The interview is recorded and transcribed with a meeting recorder that has an API, such as Fireflies.Pick out what matters
AI reads the transcript and picks out what matters for positioning: audience, problems, offer, proof, differentiators and tone, following your own framework (for example, a 10 Ps of positioning model).Write the document
The findings are written into a structured strategy document in Google Docs, or into your own designed template.Review
Your strategist reviews and refines it rather than starting from a blank page.
2. Client-knowledge research tool
You give it a prospect's name or website
Know your business
The tool holds a knowledge base of everything about your business, or your client's: capabilities, services, case studies and positioning.Read the prospect
It reads the prospect's website and public information to understand their goals, plans and problems.Match needs to capabilities
It matches each of the prospect's needs to the capability that answers it.Hand over a table
It produces a table ready to drop into a proposal or sales conversation: their need, your matching capability and the angle to lead with.
3. SEO article pipeline
A new topic or target keyword
Keyword analysis
The topic is analysed with an SEO tool such as Ahrefs.Content brief
A brief is built from the analysis: search intent, headings, questions to answer and keywords to include.Draft
AI writes the draft into Google Docs, following the brief.Human edit
The workflow stops here so a writer can add first-hand experience, opinion and authenticity.Publish
Once approved, the article is uploaded to your website with the correct H1, H2 and H3 structure.
4. Thought-leadership writing aid
A schedule (for example, every 3 days)
Read the news
The system reads recent articles from the industry news sites you choose.Write takes
Using what it knows about the company or thought leader, it writes short, interesting takes on the news in their voice.Queue for checking
The drafts land in a spreadsheet or Airtable base, with one tab or view per client and a cap on how many ideas each client gets per run.Use what's approved
Approved snippets are ready to post or to turn into longer pieces.
The same prospect research can feed personalised email drafting and cold email outreach, so every email leads with what that prospect actually needs.
Which systems deliver it?
Content research and strategy is delivered by AI automations, one per workflow. Each connects the tools you already use, such as Fireflies, Ahrefs, Google Docs and Airtable, to AI models that read, match and draft, and each ends with a review step for your strategist or writer. They can be built one at a time.
| System | Trigger | What it does | Package note |
|---|---|---|---|
| AI Automations | An interview is recorded | Turns the transcript into a strategy document in your framework | Scoped per workflow on the discovery call |
| AI Automations | A prospect's name or website | Matches the prospect's needs to your capabilities in a proposal-ready table | Scoped per workflow on the discovery call |
| AI Automations | A new topic or keyword | Builds a brief from keyword data, drafts the article and publishes it once approved | Scoped per workflow on the discovery call |
| AI Automations | A schedule | Writes short takes on industry news in the thought leader's voice | Scoped per workflow on the discovery call |
Where is it used?
Content research and strategy suits content marketing agencies, B2B marketing teams, consultancies, PR and thought-leadership agencies, and B2B SaaS and services firms in specialist industries where content needs real subject knowledge. Agencies call it client discovery; consultancies call it proposal research; sales teams call it account research.
Same job, their words
Client discovery without the late nights. Each kick-off interview becomes a positioning document in your agency's framework, and a steady flow of news-based takes keeps every client's thought leadership topical.
How would we build it for you?
We haven't published a content research case study yet. Here's how a build would run: we pick the workflow that eats the most hours, connect the tools it needs, load your framework or knowledge base, and run it on real past inputs, such as an old interview, so your team can judge the output before it goes live.
- Pick the workflowmost hours saved
- Connect the toolsFireflies · Ahrefs · Google Docs
- Load your frameworke.g. 10 Ps
- Test on past inputsold interviews
- Review step setyour strategist
- Go livefirst runs checked
What should you know before you start?
Content research and strategy automation needs tools with APIs and keeps human judgement in. Some popular tools can't be automated, so a meeting recorder without an API is swapped for one that has one, such as Fireflies. Every workflow ends with a review step, because the aim is a strong first draft, not a finished piece nobody has read.
- Tools need APIs. If a tool you use can't be automated, we recommend one that can.
- Human judgement stays in. Strategy documents, drafts and snippets are reviewed by a person before they're used.
- Research matches what it knows. The prospect tool matches against the knowledge base you give it, so your capabilities, services and case studies need to be current.
- Running costs are billed by the providers. AI models, SEO tools and meeting recorders are paid to those providers, and we estimate them before the build.
Frequently asked questions
Questions
Answer
Will AI write our articles for us?
AI writes the first draft, not the finished article. The SEO article pipeline analyses the keyword, builds a brief and drafts the article in Google Docs, then stops so a writer can add first-hand experience, opinion and authenticity. Once the writer approves it, the article is uploaded to your website with the correct H1, H2 and H3 structure.
Which meeting recorders does it work with?
Content research and strategy automation works with meeting recorders that have an API, such as Fireflies, because the transcript has to reach the automation without anyone copying it across. If your current recorder has no API, we recommend one that does. We check every tool you use on the discovery call.
Can it use our own positioning framework?
Yes. The interview workflow follows your own framework, for example a 10 Ps of positioning model, when it picks out audience, problems, offer, proof, differentiators and tone from the transcript. The findings go into a structured Google Doc or your own designed template, so every strategy document looks the way your team expects.
Can the prospect research feed our sales emails?
Yes. The client-knowledge research tool produces a table of each prospect's needs, your matching capabilities and the angle to lead with. The same research can feed personalised email drafting and cold email outreach, so every email opens with what that prospect actually needs.
How often does the thought-leadership aid write new ideas?
The thought-leadership writing aid runs on a schedule you set, for example every 3 days. Each run reads recent articles from the news sites you choose and writes short takes in the company's or thought leader's voice. Drafts land in a spreadsheet or Airtable base, with a cap on how many ideas each client gets per run.
Is this the same as a market research assistant?
No. Content research and strategy researches one prospect, one interview or one keyword at a time for content and sales. A market research assistant is an internal assistant that researches a whole niche or market. Use this when the question is about one prospect or topic; use the assistant when it's about the market as a whole.