Home/ Work/ Creator-tools SaaS · Turnaround and audit
Case study · 03 Anonymized · metrics real

Stabilized a stalled account, then rode an LLM-traffic surge most of the category hasn't caught up to.

A creator-tools SaaS for audio and video editing: transcription, captioning, AI-assisted editing, a high-volume programmatic page set. Account Strategist (SEO + content), inherited early in the engagement after the prior strategist exited.

Client Creator-tools SaaS (audio + video editing)
Role Senior Account Strategist · SEO + content
Engagement Oct 2025–Jun 2026
Disciplines
SEO Content AI-native
MRR turnaround
$18K

Retainer expanded into a content package.

Pages audited
929

Across 45 topic hubs, self-built methodology.

LLM sessions, May
+353.5%

11,639 → 52,786, month over month.

Organic subs, May
2,548

+38% MoM, highest monthly total since Oct 2024.

01 · Problem

An account mid-handoff, and 929 pages nobody had a system for.

I picked up this account early in the engagement after the prior strategist exited. The retainer was at risk: the client had no reason yet to trust a new name on the account, and the site itself was a different kind of problem: a programmatic page set in the hundreds, built up tool by tool and blog by blog over years, with no standing methodology for deciding what to refresh, what to consolidate, and what to kill.

That's a trust problem and a scale problem at the same time. You can't propose a credible plan for 929 pages by eyeballing them, and you can't rebuild trust on a stalled account by asking for more time before showing any read at all.

02 · Approach

Build the audit tool before running the audit.

Stabilizing the relationship and auditing the site weren't separate workstreams: the audit was how I rebuilt the trust. Showing up with a structured, page-by-page read across the entire tool and blog library, fast, was the proof of competence the account needed.

I self-initiated and built the audit methodology with Claude: a repeatable pass across all 929 pages, grouped into 45 topic hubs, scoring each page on overlap, search performance, and structural gaps rather than reviewing them one at a time. The output wasn't a one-off report: it's a methodology I now reuse across other accounts.

From there: refresh the pages with real search demand and thin content, consolidate the overlapping ones, and keep a standing cadence of new tool and blog pages aligned to what the audit showed was missing. The retainer expanded into a dedicated content package once the first read landed.

03 · Tools

The stack for this program.

SEMrush Ahrefs Google Search Console GA4 Looker Studio Claude (audit methodology) Scrunch AI
04 · Then the curve bent

A second number started moving: not because of the audit.

Two months ago, LLM-referred traffic on this account started compounding, and the audit wasn't the reason. A separate workstream ran in parallel: stripping stale 2025 date callouts out of the blog, rolling schema out sitewide, rebuilding header structure across every tools page, and shipping 20+ pieces of new and refreshed content. The site was already showing up in LLM answers before any of that. What changed was ChatGPT 5.5 adding more inline citations to its responses that same window, turning visibility that already existed into traffic that could actually be attributed. April: 11,639 sessions from LLM surfaces. May: 52,786, up 353.5% in a single month. By mid-June it was already at 80,363 month-to-date, on pace for roughly 134,000, another 153.8% on top of May.

Organic subscriptions told a related story: May closed at 2,548, up 38% month over month and the highest monthly total since October 2024. June was already pacing to beat it again by the third week of the month.

"LLM sessions are more than making up for the loss in clicks. This is the future of search."
+353.5%
LLM sessions, May MoM
11,639 → 52,786.
~134K
LLM sessions, June (paced)
80,363 MTD as of June 18, +153.8% vs. May's full-month pace.
2,548
Organic subscriptions, May
+38% MoM, highest since October 2024. June already pacing past it.
LLM-referred sessions · monthly Apr–Jun 2026
130K 95K 60K 25K JUN · PACED APR MAY JUN
LLM-referred sessions, GA4 (anonymized) Chart 03 · Anonymized
05 · Honestly

Four things shipped at once. I can't isolate which one mattered most.

Reflection

Stripping stale dates, shipping schema sitewide, rebuilding tool-page headers, and publishing 20+ pieces all landed in roughly the same window. ChatGPT shipping more inline citations landed in that window too, and that variable was never mine to control. I'm confident the combination drove the LLM surge. I'm less confident which piece mattered most, since none of them ran as its own isolated test. What I'd take from it instead: the structural work doesn't need a clean attribution story to be worth doing, since you don't get to choose when a platform shift comes along to multiply it.

Inherited an account that needs stabilizing first? Let's talk about it.