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CASE STUDY / PRODUCT-LINE GROWTH

Better Cited Than Known

I picked one product line, managed file transfer (MFT), and ran a full growth loop on it: find the gaps, fix access, ship the pages AI was missing, measure weekly, and review monthly with the product owner. AI referral traffic more than doubled, mention rate rose 56%. That's the model now being copied to other product lines.

My role
Owned strategy, measurement, and the product-team review
Scope
One product line in a crowded category (Fortra/GoAnywhere, Progress MOVEit, Kiteworks, IBM Sterling, Axway)
Tools
AirOps, Search Console, Amplitude, GA4
Cadence
Weekly report · monthly product review

The challenge

MFT is a crowded category with well-known incumbents. Buyers asking ChatGPT, Perplexity, or Google "what's the best MFT solution?" mostly heard someone else's name.

The insight

The data split two things that usually get lumped together. AI engines already cited our pages often: they trusted the content. But they named competitors more often.

"We're better cited. They're better known."

That changed the plan. Content quality wasn't the bottleneck. Access, coverage, and name recognition were.

What I did

Fixed access

I fixed the 403 errors that were blocking AI crawlers, turned on instant Bing crawl notifications, and added machine-readable "last updated" dates to every blog post.

Shipped the missing pages

New product and solution pages, comparison pages against Fortra, MOVEit, and Axway, and pages for the category questions where we were invisible.

Built authority off-site

The G2 report, eBooks, customer stories, and manufacturing content, plus a PR push to position the company as a leader in enterprise MFT, not just "security-first" MFT, so AI connects the brand to the whole category.

Made it a loop, not a launch

A weekly report tracks citation share, citation rate, and mention rate across eight AI engines, plus organic search and on-site conversion. Each month I review it with the product owner and leave with the top three actions. The same loop is now being copied to the MDSS and ICAP product lines.

Swipe sideways to inspect the full diagram →

The results

April baseline to late summer 2026

2.2×

AI referral traffic, from about 1,800 to 4,000+, driven by the new product pages and technical fixes.How measured: AI-engine referrals in analytics, April vs. August.

+56%

Mention rate: AI naming the product, up from the April baseline.How measured: AirOps, MFT category prompts, eight AI engines.

Page 2 → 1–2

MFT pages moved up from Google's second page toward the first.

~17.5×

Blog-to-contact conversion versus the site average on this product line.

What carries forward

Pick one product, separate "cited" from "known," fix access before content, and run it as a weekly loop with the product owner in the room. Once it works on one line, it's a template for the rest.

CASE STUDY DIAGRAM

Better Cited Than Known

MFT product-line growth loop. Access, coverage, freshness, and authority workstreams feed a weekly report and monthly product-owner review, followed by the top three actions, delivery, and remeasurement. Four reported outcomes are explained in the results section.