CiteWorks Studio

Kelly Services AI Market Strategy Report - Recruiting Agencies

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Kelly Services ranks eighth of ten recruiting agencies with 18.0% valid recommendation coverage in September 2026.
  • The brand appears in 25.6% of qualified observations but converts only 18.0% into recommendations, leaving a 7.6-point visibility-to-recommendation gap.
  • Rank-one performance is a major weakness: Kelly Services was the first recommendation in just 2 of 617 observations, or 0.3%.
  • The clearest opportunity is on Google AI Mode and Google AI Overviews, where Kelly Services already appears but needs stronger top-three placement.

Answer Capsule

Kelly Services holds 18.0% valid recommendation coverage in the Recruiting Agencies category in September 2026, ranking eighth of ten tracked brands. The company is visible but under-recommended: it appears in 25.6% of qualified observations but converts only 18.0% of them into valid recommendations, a gap of 7.6 points. Its clearest weakness is rank-one placement, where it records just 0.3% (2 of 617 observations), the second-lowest first-choice rate in the category. Its clearest opportunity is converting its existing presence into shortlist placement, since 158 observations mention Kelly Services but only 42 place it in the top three.

Who This Report Is For

This report is for Kelly Services marketing, brand, and growth leaders who need to understand where AI systems recommend the brand, where competitors are being chosen instead, and which prompt and citation layers require correction.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Kelly Services

Category / market studied

Recruiting Agencies

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity)

Public high-intent clusters

3

AI observations analyzed

617

Competitors tracked

9

Executive Summary

Questions This Section Answers

  • Where does Kelly Services rank in the Recruiting Agencies category, and how wide is the gap to the leader?
  • Why is Kelly Services being mentioned in AI answers without being recommended?

Kelly Services is present in the Recruiting Agencies category but is not being recommended at the rate its visibility would support. The brand recorded 158 mentions across 617 qualified observations in September 2026, a raw mention presence rate of 25.6%, yet received valid recommendation credit in only 111 observations, an 18.0% valid recommendation coverage rate. That 7.6-point gap between presence and recommendation is the central finding of this report.

The benchmark shows Kelly Services ranked eighth of ten tracked brands by valid recommendation coverage, ahead of only Heidrick & Struggles (14.8%) and Spencer Stuart (14.4%). The category leader, Robert Half, holds 46.7% coverage, a 28.7-point lead over Kelly Services. Randstad sits second at 39.1%, and Adecco third at 33.9%.

Kelly Services' framing quality is strong. The brand recorded 127 positive mentions, 31 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.8038. That places it mid-pack on framing among tracked brands and confirms that when AI systems do mention Kelly Services, the framing is favorable. The problem is not how the brand is described. The problem is how often it is chosen.

The strongest platform signal for Kelly Services is Google AI Mode, where the brand recorded 40,500.07 in AI Authority Value, the largest single-platform contribution to its total. The weakest platform signal is Copilot, where the brand recorded 109.58 in AI Authority Value and zero rank-one recommendations. Google AI Overviews also underperforms relative to its category weight, with Kelly Services capturing only 1.89% of the platform's total monthly AI opportunity.

The clearest cluster gap is structural. All 617 qualified observations in September 2026 fell into the Brand Recommendation class, meaning the benchmark currently measures discovery and evaluation prompts only. Pricing and head-to-head comparison clusters recorded zero qualified observations, so Kelly Services cannot yet be assessed on cost or competitive comparison prompts. Within the cluster that is measured, Kelly Services' top-three rate of 6.8% (42 observations) and rank-one rate of 0.3% (2 observations) show that the brand is being named but rarely placed at the front of the shortlist.

What Kelly Services Is Winning

Questions This Section Answers

  • Where is Kelly Services actually performing well in AI recommendations?
  • Which platform gives Kelly Services its strongest recommendation signal?

Kelly Services' clearest win is framing quality. The brand recorded zero negative mentions across 617 qualified observations, and its net sentiment score of 0.8038 sits within the top half of tracked brands. AI systems that mention Kelly Services describe it favorably.

The brand's second win is Google AI Mode performance. Kelly Services recorded 23 valid recommendations on Google AI Mode, a 15.0% valid recommendation coverage rate on that platform, contributing 40,500.07 in AI Authority Value. That is the single largest platform contribution to the brand's total and shows that Google's AI-generated answer surface is currently the most receptive environment for Kelly Services.

The brand's third win is a narrow but real rank-one pocket. Kelly Services recorded 2 rank-one recommendations, both on Google AI Mode and Google AI Overviews. The volume is small, but it confirms that the brand can reach first position on Google's AI surfaces when the prompt and source conditions align.

These wins are real but limited. Kelly Services does not lead any cluster, any platform, or any prompt type in the September 2026 benchmark.

Where Kelly Services Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How many times is Kelly Services mentioned versus actually recommended by AI systems?
  • How often does Kelly Services earn the first recommendation slot compared to competitors like Robert Half?
  • Why is Kelly Services' AI Authority Value concentrated on Google AI Mode instead of other platforms?

Kelly Services' largest gap is recommendation conversion. The brand appears in 158 qualified observations but receives valid recommendation credit in only 111. That means 47 observations mention Kelly Services without recommending it, a 29.7% mention-to-recommendation loss rate. Competitors with similar presence rates convert more efficiently. Insight Global, for example, appears in 226 observations and converts 175 of them into valid recommendations, a 22.6% loss rate.

The second gap is rank-one placement. Kelly Services recorded a 0.3% rank-one rate, meaning it was the first-named agency in just 2 of 617 qualified observations. Robert Half recorded a 22.9% rank-one rate, Korn Ferry 7.6%, and Randstad 7.6%. Kelly Services is not competing for first position in AI-generated shortlists.

The third gap is platform concentration. Kelly Services' AI Authority Value is heavily concentrated on Google AI Mode, which contributed 40,500.07 of the brand's total. On Copilot, the brand recorded 109.58 in AI Authority Value and zero rank-one recommendations. On Gemini, the brand recorded 259.33 in AI Authority Value. On Perplexity, 295.67. These are small contributions relative to the category opportunity on those platforms, and they suggest that Kelly Services' public evidence layer is not being retrieved or synthesized as readily on non-Google surfaces.

The fourth gap is competitive displacement. Across all three tracked clusters, Robert Half was the cluster winner. In the Brand Recommendation cluster, Robert Half captured 109,009.81 in AI Authority Value against Kelly Services' 46,728.05. The gap is not explained by Kelly Services' absence from the category. It is explained by Kelly Services being mentioned without being chosen.

Biggest Opportunity

Questions This Section Answers

  • What specific action would move Kelly Services into the middle of the Recruiting Agencies category standings?
  • Which platform and prompt layer should Kelly Services prioritize to close its shortlist placement gap?

Kelly Services' biggest opportunity is converting its existing mention presence into top-three shortlist placement on Google AI Mode and Google AI Overviews. The brand already appears in 158 qualified observations and already records its strongest platform performance on Google's AI surfaces. The gap is not awareness. The gap is placement.

The specific path is to strengthen the public evidence layer that Google's AI systems retrieve when generating recruiting agency recommendations. Kelly Services' current top-three rate of 6.8% (42 observations) is less than a third of Robert Half's 31.6% and roughly half of Randstad's 21.4%. Closing even part of that gap would move Kelly Services from eighth place into the middle of the category standings.

Competitive Landscape

Questions This Section Answers

  • How does Kelly Services' top-three and rank-one rate compare to Robert Half, Randstad, and Adecco?
  • Which competitor dominates AI recommendation power in the Recruiting Agencies category?

Robert Half holds dominant recommendation power in the Recruiting Agencies category, with Randstad as the strongest challenger and Adecco close behind. Kelly Services sits in the lower tier of the tracked set, visible but rarely placed at the front of AI-generated shortlists.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Robert Half

31.60%

22.85%

2

0.8278

Randstad

21.39%

7.62%

3

0.7989

Adecco

20.91%

2.43%

3

0.7676

Korn Ferry

13.29%

7.62%

3

0.8291

Aerotek

13.29%

3.24%

4

0.8913

Insight Global

12.32%

1.62%

4

0.8982

ManpowerGroup

10.37%

1.94%

4

0.7671

Heidrick & Struggles

7.62%

0.32%

4

0.8129

Spencer Stuart

7.46%

1.62%

4

0.7797

Kelly Services

6.81%

0.32%

4

0.8038

Average recommended rank covers rank-eligible recommendations only.

Kelly Services ranks last in the category on top-three rate and tied for second-to-last on rank-one rate. Its average recommended rank of 4 is consistent with the rest of the lower tier, but its top-three and rank-one rates show that it is being named without being placed near the front of the shortlist.

Prompt Evidence

Questions This Section Answers

  • What do the platform-level prompt results show about Kelly Services' recommendation coverage and rank-one performance?
  • Which prompts produced valid Kelly Services recommendations, and where did the brand still fail to place first?

Google AI Mode / Brand Recommendation Prompt: "What is the best staffing agency?" Result: Kelly Services received valid recommendation credit in 23 of 153 Google AI Mode observations, a 15.0% coverage rate on the platform, but recorded only 1 rank-one placement.

ChatGPT / Brand Recommendation Prompt: "staffing agencies" Result: Kelly Services recorded 18 valid recommendations across 90 ChatGPT observations, a 20.0% coverage rate, with zero rank-one placements on the platform.

Google AI Overviews / Brand Recommendation Prompt: "What temp agency is in Wichita KS?" Result: Kelly Services recorded 36 valid recommendations across 158 Google AI Overviews observations, a 22.8% coverage rate, but captured only 1.89% of the platform's total monthly AI opportunity.

Copilot / Brand Recommendation Prompt: "Is it worth it to go through a temp agency?" Result: Kelly Services recorded 12 valid recommendations across 55 Copilot observations, a 21.8% coverage rate, with zero rank-one placements and 109.58 in AI Authority Value.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Kelly Services is mentioned but not recommended, and identify which competitors capture the recommendation slot in each case.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where Kelly Services' presence-to-recommendation gap is widest, starting with Google AI Mode and Google AI Overviews.

Phase 3: Owned Answer Layer Buildout Strengthen the brand's owned pages so that AI systems can retrieve clear, structured answers about Kelly Services' services, specialties, and differentiators.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems appear to draw on when generating recruiting agency recommendations, including industry directories, comparison pages, and authoritative references.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Kelly Services' top-three rate, rank-one rate, and platform-level coverage month over month to measure whether the recommendation gap is closing.

Why This Matters

Questions This Section Answers

  • What is the commercial difference between being mentioned and being recommended in AI-generated recruiting agency shortlists?
  • How has the rate of AI-generated valid recommendation shortlists changed in the Recruiting Agencies category?

AI systems are now forming the shortlist before a buyer ever visits a website. In the Recruiting Agencies category, 57.7% of qualified observations produced a valid recommendation shortlist in September 2026, up from 56.0% in July 2026. That means more than half of the prompts measured ended with AI systems naming specific agencies. Kelly Services is being named in 25.6% of observations but recommended in only 18.0%. The difference between those two numbers is the difference between being part of the conversation and being part of the shortlist.

Presence alone is not enough. A brand that appears in AI-generated answers without being recommended is visible but not chosen. The next move for Kelly Services is targeted correction of the prompt, page, and citation layers that determine whether AI systems place the brand in the top three or leave it as a passing mention.

Core Metrics

Metric

Value

Mentions

158

Valid recommendations

111

Top 3 recommendation count

42

Rank #1 recommendation count

2

Average recommended rank

4

Positive mentions

127

Neutral mentions

31

Negative mentions

0

Raw mention presence rate

25.61%

Valid recommendation coverage

17.99%

Top 3 recommendation rate

6.81%

Rank #1 recommendation rate

0.32%

Net sentiment score

0.8038

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Kelly Services in September 2026: (127 × 1 + 31 × 0 + 0 × -1) / 158 = 0.8038.

This matters because unclassified mention counts are misleading. A brand that appears in 158 observations sounds strong until you separate the 127 positive mentions from the 31 neutral references and the zero negative mentions. Kelly Services' framing is favorable, but framing quality is not the same as recommendation strength. A positive recommendation, a neutral reference, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and Kelly Services' 0.8038 score tells a different story than its 25.6% presence rate alone.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

24

18

6

0

0.7500

Present, but not recommendation-led

Copilot

20

16

4

0

0.8000

Present as context, not recommendation

Gemini

23

13

10

0

0.5652

Positive, but sample too small

Google AI Mode

32

28

4

0

0.8750

Strongest public recommendation signal

Google AI Overviews

41

37

4

0

0.9024

Strongest public recommendation signal

Perplexity

18

15

3

0

0.8333

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of Kelly Services' AI recommendation performance in the Recruiting Agencies category, drawing on the LLM Authority Index AI Market Discovery Index for September 2026.
  2. The reporting window is September 2026, with comparisons made against the July 2026 baseline. August 2026 recorded no brand-level recommendation signal for any tracked brand and is treated as an instrument-level gap rather than a competitive outcome.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
  4. The September 2026 collection began with 800 prompt-surface observations and 510 unique questions. After qualification, 617 observations formed the public benchmark denominator.
  5. Ten brands were tracked: Robert Half, Randstad, Adecco, Insight Global, Korn Ferry, Aerotek, ManpowerGroup, Kelly Services, Heidrick & Struggles, and Spencer Stuart.
  6. All 617 qualified observations fell into the Brand Recommendation buyer-intent class. Pricing and Multi-Brand Comparison clusters recorded zero qualified observations in the public series.
  7. A mention is counted when Kelly Services appears in a qualified AI response, regardless of whether the brand is recommended.
  8. A valid recommendation is counted when the AI response explicitly recommends Kelly Services as a recruiting agency option, with rank credit assigned for positions 1 through 10.
  9. Top-three rate measures the share of qualified observations where Kelly Services appears in the first three recommended positions. Rank-one rate measures the share where Kelly Services is the first recommendation.
  10. Net sentiment score measures framing quality among mentions, not customer sentiment. It is calculated as (positive × 1 + neutral × 0 + negative × -1) / total mentions.
  11. Platform-level metrics use platform-specific observation counts as the denominator, which differ from the overall 617-observation benchmark.
  12. The August 2026 measurement gap and the absence of pricing and comparison data mean this benchmark should be read as a directional signal, not a complete market picture.

See Where AI Is Recommending Your Brand

The public benchmark shows where Kelly Services is being mentioned and where it is being passed over. A company-level AI visibility audit maps the specific prompts, platforms, and source patterns that determine whether AI systems place Kelly Services in the top three or leave it as a passing reference.

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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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