From a 3-article trial to a weekly cadence.

Industry
Post-purchase software for eCommerce
Work
Research, briefs, writing, fact-checking, publishing
Timeframe
Since May 2026, ongoing
first article live, still publishing
Since May 2026⁠[1]
follow-up questions mapped
5,572⁠[2]
for buyers comparing or choosing
93%⁠[3]
  1. [1]First article live 27 May 2026; 283 by 15 Oct 2026, and the program continues. Every article is live on AfterShip’s blog. AfterShip blog (opens in a new tab)↩︎
  2. [2]About 20 sub-questions per article across seven query types. The insight↩︎
  3. [3]262 of the 283 articles target buyers at the consideration or decision stage. By the numbers↩︎

Working with Muhammad has been a great experience. He takes initiative without being asked, handles complex briefs with ease, and consistently digs into the ambiguous areas of a project on his own — you rarely need to spell everything out. The quality of his output speaks for itself. Highly recommend and would work with him again.

AfterShip, on Muhammad Abdullah · Upwork review, May 2026

The work

AfterShip sells post-purchase software for online stores: tracking, returns and notifications. Its buyers compare tools before they talk to sales, and more of that comparing now happens inside AI answers.

The blog needed pages that answer those comparison questions directly and accurately, at a pace that covers the whole category.

From the published library.

Two pages of live articles, with their original titles and bylines. Select a page to read it at full size.

AfterShip’s blog, pages 2 and 3, captured . Published under AfterShip’s own bylines.

The insight: query fan-out.

An AI tool doesn’t answer a buyer’s question with a single search. It splits the question into smaller ones, runs those, and builds its answer from the pages that answer them best. A page gets cited when it answers those smaller questions clearly, with sources.

The question

Buyer asks AI best payroll software for a 20-person team?

The searches

  1. Comparative payroll tools compared on price
  2. Implicit what to look for in payroll software
  3. Entity-expanded payroll with accounting sync
  4. Related how long does payroll setup take?
  5. Reformulation easiest payroll for a startup
  6. Personalized payroll for contractors abroad
  7. Recent payroll rule changes in 2026

What gets cited

One article answers all seven cited

Illustrative example, not client data. Each AfterShip article was planned from about 20 sub-questions across these seven types.

How it was done

  1. Topic and intent

    Every topic was tagged with a buyer persona, a funnel stage and a search intent before research started.

  2. Fan-out brief

    About 20 sub-questions per topic across the seven query types, each matched to the format that answers it best: a table, a list or an FAQ.

  3. Write and fact-check

    Every claim names its source, such as G2, Reddit with the subreddit, the Shopify App Store, competitor pages or AfterShip’s docs, with 2025–26 sources first. Issues were logged and fixed before publishing.

  4. Publish and index

    Each live page was checked, then submitted for indexing.

By the numbers

Articles published per month since May 20265Maypartial80Jun5Jul91Aug93Sep9Octpartial
Articles published per month
MonthArticles
May (partial month)5
June80
July5
August91
September93
October (partial month)9
Articles published per month. May counts from 27 May and October to 15 October. July’s output was lower during a pause for source review, updated content guidance and team training before production resumed.

Content mix by title type

  • head-to-head comparisons 133
  • alternatives guides 60
  • “best of” lists 26
  • other guides and explainers 64

262 of the 283 articles live by 15 Oct 2026 are written for buyers at the consideration or decision stage.

Evidence

One search, two places our article appears. Select either screenshot to inspect it at full size.

In the AI answer.

The first visible source card links to our enterprise-tracking comparison.

Exhibit 1 · Google AI Overview · US search setting · checked 28 Oct 2026 Source 1 · Our article is the first visible source card. Cropped from the same capture as Exhibit 2, taken in Pakistan while signed in to a Google account.

Check it yourself (opens in a new tab)

View 2× enlargement (pixel-doubled)

View original capture

Results change with location, date and whether you’re signed in to Google.

In the search results.

The same article is the first visible organic result for “AfterShip vs Narvar enterprise tracking price speed”.

Exhibit 2 · Google search results · US search setting · checked 28 Oct 2026 Our article is the first visible organic result. Cropped from the same capture as Exhibit 1, taken in Pakistan while signed in to a Google account.

Check it yourself (opens in a new tab)

View 2× enlargement (pixel-doubled)

View original capture

Results change with location, date and whether you’re signed in to Google.

Why it worked

  • Planned from the questions AI asks, not only keywords.

    Each brief started from the sub-questions AI search runs, so each article answers what buyers ask next.

  • Every claim sourced, so the answers are safe to quote.

    Named sources and a fact-check before publishing keep the pages accurate enough to quote.

  • Steady volume, with 93 articles at the September peak.

    Around 90 articles a month at full pace built coverage across the comparisons buyers make.

AfterShip owns its analytics, so this page has no traffic figures. Everything on it can be checked in public.

Free AI visibility check

See who AI cites for your buyers’ questions.

  • 10 questions your buyers ask, run through ChatGPT, Perplexity and Google’s AI Overviews
  • Who gets cited instead of you
  • Three fixes to start with

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