We Stopped Losing Clients to AI Search in 8 Weeks — Here Is Exactly How

CASE STUDY

Frances Finney · Founder, Clearline Content Studio · B2B SaaS clients · April 2026

Content Agency AI Search Visibility GEO / AEO 8-Week Trial

Sofia Reyes · Founder, Clearline Content Studio · 11 clients across B2B SaaS and fintech · Remote-first team of 4 writers · Monthly tool budget: $400–$600

The Problem I Was Trying to Solve

Two clients nearly churned in the same month. Both had strong Google rankings — top five for their main keywords. Both watched their inbound leads drop 30 percent over six months while their competitors seemed to be getting recommended everywhere in AI answers. When prospects told them “I found [Competitor] through ChatGPT,” I had no data to explain why or fix it. My entire reporting stack — Ahrefs, Semrush, Google Search Console — was blind to this problem.

I needed to understand AI search visibility the same way I understood Google rankings. Tracked. Measured. Actionable.

“My clients were ranking number two on Google and getting zero citations in ChatGPT. I had no tool to even show them the problem existed, let alone fix it.”

How I Found AI SEO Radar

A founder I follow on X posted a screenshot of a citation gap report showing their brand appearing in Perplexity for a keyword they did not rank for on Google. The product was AI SEO Radar. I signed up the same afternoon. No demo required. Credit card on the starter plan. Fifteen minutes later I was looking at data I had never seen before.

What Happened Week by Week

WEEK 1

Added four client domains. Within 24 hours each had an AI Share of Voice score and a list of competitor URLs being cited in AI answers for their target keywords. One client had zero citations. Their top competitor had 34. That single number ended the conversation about whether AI visibility mattered.

WEEK 2

Used the platform’s keyword discovery layer to find queries where AI answers were being generated but our clients had no content at all. Found 23 high-intent queries with zero coverage across three clients. Assigned them immediately to our writing team.

WEEKS 3–4

Used the AI content generator to rewrite six existing pages. It structures content specifically for how LLMs pull answers — direct definition at the top, FAQ sections, clear headers. Not generic SEO copy. Different structure, different result. We published all six within two weeks.

WEEK 6

Two of the six rewritten pages started appearing in Perplexity answers. One appeared in a Google AI Overview for a keyword the client had been targeting for over a year with zero AI visibility. Client sent a Slack message asking what we did differently.

WEEK 8

Full eight-week review. AI Share of Voice up across all four tracked clients. Neither at-risk client churned. Both renewed — one upgraded their retainer citing AI search results as the reason. I added AI visibility reporting as a permanent line item on every client deliverable.

Clients Retained

who were at churn risk

Honest caveat: Attribution is hard. The content changes we made based on the tool’s insights would have helped regardless of which platform surfaced them. What AI SEO Radar gave me was the diagnosis — which pages, which keywords, which competitors to study. The writing team still did the actual work.

Honest Pros and Cons

What Works

+ Citation gap report is the most useful single feature in any SEO tool this year

+ Covers ChatGPT, Perplexity, Claude, and Google AI Overviews in one dashboard

+ AI content output is tuned for LLM citation — not just keyword density

+ Quick self-serve setup, no sales cycle or onboarding call required

+ Client-ready reports that can be sent directly without reformatting

+ Competitor citation alerts when rivals’ scores change significantly

What Needs Work

− No bulk prompt import — entering queries manually is slow and tedious

− Historical trend data capped at 30 days on the entry-level plan

− No white-label reporting yet — a gap for agency use at scale

− Support is async only — 48hr response window is too long for blockers

− UI feels early-stage in places — some actions are hard to find first time

− Thin data on very niche B2B verticals with low existing AI answer volume

Why I Chose It Over Alternatives

I looked at Otterly AI (lightweight, good for brand mentions, not deep enough for agency use), Ahrefs Brand Radar (no citation source detection at the time I evaluated it), and Writesonic’s GEO mode (solid content output, but the tracking layer felt bolted on rather than native). AI SEO Radar was the only platform where tracking AI visibility and generating content optimized for that visibility lived inside the same workflow. That integration is the whole point.

Who This Is For

• Founders and solo marketers managing content without a dedicated SEO team

• Content agencies that need to show AI search visibility in client reporting

• In-house marketers at brands losing top-of-funnel traffic to AI Overviews

• Early GEO/AEO adopters who want a head start before the category matures

Skip this tool if you need API access, white-label reporting, or deep historical data exports at enterprise scale. The platform is not there yet. But it is building toward it visibly.

Recommended — especially for agencies and content teams

If your clients are asking why competitors keep showing up in AI answers and you have no data to respond with — this tool fixes that gap faster than anything else I have tested. It is not a finished enterprise platform and it does not pretend to be. But the core insight engine is genuinely best-in-class for the specific problem of AI search visibility. For a content agency managing multiple clients in 2026, it has become non-optional.

“The next six months will determine whether AI SEO Radar matures into a platform or stays a focused niche tool. Right now, it is the latter — and for my workflow, that is more than enough.”

About the Reviewer · Sofia Reyes is the founder of Clearline Content Studio, a remote-first content agency serving B2B SaaS and fintech clients. This case study reflects a paid trial conducted between February and April 2026. No compensation was received from AI SEO Radar for this review.