Service
AI Content Strategy
Content built from the questions buyers actually ask and the gaps the measurement actually found — not generic posts produced by the dozen.
The problem this addresses
You are paying for blog posts nobody reads, on topics nobody chose, that have not moved a single business outcome.
Most content programmes begin with a keyword list and end with a content calendar nobody can connect to revenue. Ours begins with the prompts you lost: the specific buyer questions where an AI named someone else.
From there the work is to produce the thing that would actually deserve to be the answer — real expertise, specific to your market, with evidence behind it. Original proof outperforms rewritten summaries, because a model asked for a recommendation has no reason to cite a page that restates what it already knows.
Volume is not the goal. A small number of genuinely useful, verifiably expert pages will do more for recommendation visibility than fifty posts assembled from the same public sources as everyone else's.
What it includes
- Content priorities derived from lost prompts and observed source gaps
- Buyer-question mapping across the full intent range, not just discovery
- Briefs built around demonstrable expertise and original proof
- Evidence assets — project documentation, before-and-after records, real specifics
- Topical authority planning across a coherent cluster, not scattered posts
- Author and expertise attribution on anything informational
What you receive
A content plan tied to specific measured gaps, briefs for each piece, and the pages themselves if you want us to write them.
What this does not do
We will not mass-produce thin posts, and we will not publish content under invented author personas. If the expertise has to come from someone at your company, we will need their time.
How this is measured
Every service sits inside the same measurement loop. Work is proposed from recorded evidence, and its effect is assessed by re-running the identical benchmark rather than by asserting that it must have helped.
Usually paired with
AI Source Gap Analysis →
Discover which third-party sources support the competitors AI recommends, and which of them have no record of your business at all.
AI Visibility Optimization →
Improve the signals that affect how AI systems find, read and understand your company — then re-measure to see whether it worked.
Every engagement starts with a measurement
Tell us about your business and we will establish where you currently stand.