CiteWorks Studio

How ZipRecruiter Increased AI Share of Voice by 72% and Doubled Influenced Search Visibility in 10 Months

CiteWorks Studio helped ZipRecruiter strengthen its presence across Google search and AI-generated answers by building a measurable third-party visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
5 minutes read

Results at a Glance

CiteWorks Studio worked with ZipRecruiter from October 2025 through July 2026 to strengthen the brand’s presence across search and AI-generated recommendation environments around high-intent recruitment topics.

AI share of voice increased to 17.9%

ZipRecruiter’s AI share of voice increased from 10.4% in October 2025 to 17.9% in July 2026, a gain of 7.5 percentage points and a 72.1% relative increase.

Total AI mentions reached 28,343

Total tracked AI mentions increased from 20,004 in October 2025 to 28,343 in July 2026, an increase of 8,339 or 41.7%.

Total pages cited grew to 229,137

Total pages cited in the tracked AI dataset increased from 181,908 in October 2025 to 229,137 in July 2026, an increase of 47,229 or 26.0%.

Influenced keyword visibility more than doubled

Campaign-influenced keyword visibility increased from 8,995 in February 2026 to 18,132 in July 2026, a gain of 9,137 or 101.6%.

AI citation appearances increased by 251%

AI citation appearances associated with influenced pages increased from 261 in February 2026 to 916 in July 2026, an increase of 655 or 251.0%.

962 third-party posts were engaged

The campaign worked across 962 third-party posts connected to relevant recruitment and job-search conversations.

840 engaged posts remained live

By July 2026, 840 posts remained live, representing 87.3% of the total engaged.

407 pages ranked in Google’s top 10

By July 2026, 407 unique pages mentioning ZipRecruiter ranked in Google positions 1–10.

83 influenced pages earned AI citations

By July 2026, 83 unique campaign-influenced pages had earned at least one tracked AI citation.

$1.11M in combined estimated visibility value

As of July 2026, CiteWorks Studio estimated $949.94K in Search Influence Value and $162.11K in AI Visibility Value, for $1.11M in combined estimated visibility value.

What Changed in the Market

The way employers and job seekers discover recruitment platforms is changing.

An employer may still search Google for the best place to advertise a job. Increasingly, that same employer may ask an AI assistant which recruiting platform to use. Job seekers follow a similar path, using search engines and AI-generated recommendations to compare job boards and decide where to apply.

In both environments, the answer is shaped by more than a brand’s own website. Third-party comparisons, public discussions, ranked pages, and the sources cited by AI systems all influence which companies enter the consideration set.

AI-generated answers now add another decision layer. Questions such as “What are the top job boards?” or “What is the best website to advertise a job?” can produce a synthesized response before the user visits a traditional search result. The brands named in that response—and the sources used to support it—can shape the buyer’s shortlist early in the journey.

What the Brand Needed

ZipRecruiter was competing in a category that included established platforms such as Indeed, LinkedIn, Glassdoor, Monster, and CareerBuilder. The opportunity was not simply to increase branded visibility. It was to strengthen ZipRecruiter’s presence around category-level questions being asked before a buyer had chosen a platform.

Increase Visibility Around High-Intent Recruitment and Job-Search Themes

The campaign focused on increasing visibility around high-intent recruitment and job-search themes.

Expand the Number and Persistence of Third-Party Pages Mentioning ZipRecruiter

The campaign focused on expanding the number and persistence of third-party pages mentioning ZipRecruiter.

Improve Presence Within Tracked Search and AI Sources and Answers

The campaign focused on improving the brand’s presence within the sources and answers tracked across search and AI environments.

What We Did

CiteWorks Studio built and measured a search and AI visibility program focused on high-intent recruitment topics, third-party pages, organic rankings, AI citations, brand mentions, and competitive share of voice.

Mapped the Search and AI Recommendation Environment

CiteWorks Studio began by identifying the queries and prompt themes most closely connected to recruitment-platform selection. These included questions such as “What are the top job boards?”, “What are the best apps to apply for jobs?”, and “What is the best website to advertise for jobs?” The analysis considered where ZipRecruiter appeared, which competitors were being surfaced, which third-party pages were ranking, and which sources were being cited in AI-generated answers. This created a baseline across AI share of voice, brand mentions, cited pages, influenced keyword visibility, AI citation appearances, and unique campaign-influenced pages earning citations.

Built a Persistent Third-Party Visibility Layer

The campaign worked across 962 third-party posts connected to relevant recruitment and job-search conversations. CiteWorks monitored whether those pages remained accessible and whether they went on to produce measurable search or AI visibility. By July 2026, 840 posts remained live, 407 pages ranked in Google’s top 10, and 83 unique influenced pages earned an AI citation. This created a persistent source layer around ZipRecruiter: a body of public pages capable of influencing both traditional search results and AI-generated responses.

Measured, Refined, and Scaled What Produced Visibility

CiteWorks tracked search and AI performance as separate but connected systems. Search measurement focused on whether campaign-influenced pages were ranking and how much relevant keyword visibility those pages were generating. AI measurement focused on whether influenced pages were being cited, how frequently ZipRecruiter appeared across tracked answers, and how the brand’s share of voice changed within the competitive set. Performance was reviewed over time so that activity could be concentrated around the topics and source environments producing the strongest signals. As of July 2026, the highest-performing prompt themes included Top job boards, Apps to apply for jobs, and What is the best website to advertise for jobs?

The Outcome

Over 10 months, CiteWorks Studio helped ZipRecruiter build a stronger presence across traditional search and AI-generated recommendations, with measurable gains across visibility, citations, and modeled value.

  • 72.1% relative increase in AI share of voice from 10.4% in October 2025 to 17.9% in July 2026
  • 41.7% increase in total tracked AI mentions from 20,004 to 28,343
  • 26.0% increase in total pages cited from 181,908 to 229,137
  • 101.6% increase in campaign-influenced keyword visibility from 8,995 in February 2026 to 18,132 in July 2026
  • 251.0% increase in AI citation appearances associated with influenced pages from 261 to 916
  • 407 unique pages ranking in Google positions 1–10 by July 2026
  • 83 unique campaign-influenced pages earning AI citations by July 2026
  • $1.11M in combined estimated visibility value as of July 2026

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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