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How a National Matchmaking Service Became the Most-Cited Brand in AI Answers

Avatar of Kelsey Libert

By Kelsey Libert

Cofounder

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3 min read

How a National Matchmaking Service Became the Most-Cited Brand in AI Answers

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People choosing a matchmaker often ask a chatbot, read an AI Overview, and search for reviews — and whoever gets cited in those answers shapes the shortlist. Over a 12-month engagement, Fractl made a national matchmaking service the most-cited brand in its category across Google AI Overviews, AI Mode, and ChatGPT. This case study covers how we built that AI visibility and what it produced.

The Challenge

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Matchmaking runs on reputation, and the decision is personal and high-consideration. Prospective clients vet services through AI assistants and search long before they reach out, and this brand barely registered in AI-generated answers.

What Fractl Did


We built the authority signals large language models (LLMs) use to decide whom to cite. Fractl paired answer-first content on the questions people actually ask when they’re looking for a matchmaker, from how matchmaking works to how to choose a matchmaker, with a sustained digital PR program that earned coverage and brand mentions across high-authority outlets.

We tracked progress in Ahrefs Brand Radar across the three engines that matter most for this audience: AI Overviews, AI Mode, and ChatGPT.

The Results


The brand went from missing to dominant across the AI engines that make or break brands in this category.

It earned 1,223 AI citations and 295,561 monthly AI answer impressions, roughly five times the nearest competitor.

That made it the most-cited matchmaking brand across every AI engine we tracked, with 200 brand mentions on top of the citations. It now surfaces for the category’s core questions, so the brand is present at each step a client takes toward a decision.

Horizontal bar chart comparing monthly AI answer impressions for matchmaking brands. Client shows 295,581 impressions in blue-green, far exceeding Competitor A with 64,391 impressions. Competitors B through E show substantially lower numbers ranging from 23,045 to 3,947 impressions. Title reads "Most-Cited Matchmaking Brand in AI Answers"

What Brands Can Learn From This Campaign




AI visibility is won when the user asks a question

Citations come from answering the specific things buyers ask, so content built around real questions outperforms brand-first pages.


Share of voice compounds

Once a brand becomes the default citation, each new answer reinforces the last, which is how a five-to-one lead over competitors builds.


Consistency matters

Sustained coverage and content, not a single campaign, moved the brand from absent to most-cited.

Partner With Fractl for AI Search Visibility


Fractl helps brands earn the citations that AI answers hand to a customer at the decision point. Ranked number one on Clutch’s Leaders Matrix for content marketing, we turn original data and answer-first content into the coverage journalists publish, and AI engines cite.

If you want to be the brand recommended when someone asks, see how Fractl can help.

AI Search Visibility FAQs


What is AI search visibility?

AI search visibility is how often your brand is cited or mentioned in AI-generated answers like Google AI Overviews, AI Mode, and ChatGPT. It measures presence in the answers customers now read instead of a list of blue links.

Can a service business rank in AI answers without a huge budget?

Yes. Citations follow useful, well-sourced answers to real questions, so a focused program can out-cite larger competitors, as this matchmaking service did by roughly five to one.

How is AI visibility measured?

Through citations, brand mentions, answer impressions, and share of voice across AI engines, tracked in tools like Ahrefs Brand Radar over time.

About the author


Kelsey Libert

Kelsey Libert

Cofounder

Kelsey Libert is a cofounder of Fractl, a top-ranked content marketing and digital PR agency recognized on "Clutch’s Leaders Matrix" among 30,000+ firms. She has helped lead 5,000+ campaigns for brands including Adobe, Discover, and Paychex, earning coverage in The New York Times, USA Today, Vice, CNET, and other top publishers. Her industry research has appeared in Harvard Business Review, Search Engine Land, and Inc., and she has spoken at MozCon, Pubcon, SMX Advanced, and BrightonSEO.