Module 06 · Lesson 2 of 4
Earning Relevant Publications and Coverage
Coverage is earned with assets, not adjectives. No editor wakes up wanting to write about your "innovative approach". They want a story their readers click, data nobody else has, a tool their readers can use, or an expert who explains something confusing. Your job is to become one of those things and then make it easy to write about.
Start from the log, not a media list
Generic PR builds a list of big outlets and blasts them. You have better information: your Module 3 citation log already shows which publications your niche's AI answers actually use. Those are your targets, in order of recurrence, regardless of how famous they are. A niche trade site cited in every answer is worth ten general newspapers cited in none.
The four asset types that work
| Asset | Why editors want it | Honesty requirement |
|---|---|---|
| Original data | Fresh numbers make stories | Method note: sample, dates, how collected |
| A free tool or calculator | Useful to readers, easy to embed | It must actually work and stay maintained |
| Expert commentary | Explanation of news or confusion | A real, named, checkable person (Module 5) |
| A genuine story | Narrative readers remember | True, with the details that prove it |
Match the asset to what you can honestly sustain. Original data from your own operations is the most undervalued: you sit on pricing records, project outcomes, survey responses, request patterns. Aggregated and anonymised with a method note, that is a citable asset most competitors cannot copy, and it feeds Module 4's information gain at the same time.
Pitching without spam
- One target at a time, tailored: reference their recent work where it genuinely connects.
- Lead with the finding, not the company. "Agencies quote 4x spread for identical audits, our data of 120 quotes shows why" beats "we are a leading agency".
- Offer the named expert and the underlying data. Availability of a checkable human is often what closes it.
- One follow-up after a week, then stop. Silence is an answer.
- Track it in your log like any other work: pitched, replied, covered, cited.
And the honest timeline: a first relevant placement often takes one to three months of asset-building plus pitching. Anyone promising coverage in a week is selling a placement, and paid placements that pass value violate Google's link spam policies anyway. The earned version compounds; the bought version rents.
- Asset: you log every quote your shop sends against the job's final cost, 400 jobs over two years, anonymised.
- Finding: final cost exceeds the initial quote by more than 30 percent in one job type, and almost never in another.
- Target: the trade publication appearing most often in your query-set citations.
- Pitch: the finding, the method in two sentences, your named owner, offer of the full dataset. Under 200 words.
- Outcome to log: covered or not; if covered, linked or unlinked; cited by AI answers within four to six weeks or not.
- From your citation log, list the five most-recurrent publications. That is your target list, ranked.
- Choose one asset type you can honestly produce this quarter, and write the one-sentence finding it would carry.
- Draft the sub-200-word pitch, with your named expert and the evidence offer.
- Send it to the top target. Log the send date and set the one-week follow-up.
Why target the publications your log shows, not the biggest outlets?
What makes original data a strong asset?
Are paid placements a shortcut?
Sources used in this lesson
Google Search Central: helpful, reliable, people-first content
Google Search Central: AI features and your website