CiteWorks Studio

Aerotek AI Market Strategy Report - Staffing Agencies

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Aerotek ranks fifth in staffing agencies by valid recommendation coverage at 31.86% across 587 qualified observations.
  • The brand is visible in 41.23% of observations but converts that presence into recommendations less efficiently than category leaders.
  • Aerotek’s strongest performance is its 4.09% rank-one rate and above-average results on Google AI Mode and Google AI Overviews.
  • Its main gap is top-three placement at 11.93%, with the clearest improvement opportunity in turning existing mentions into higher-ranked recommendations.

Answer Capsule

Aerotek holds the fifth-strongest recommendation position in the Staffing Agencies category for September 2026, with valid recommendation coverage of 31.86% across 587 qualified observations. The brand is visible in 41.23% of qualified observations but converts that presence into a valid recommendation less than a third of the time, a gap that separates it from the category leaders. Aerotek's clearest strength is its rank-one rate of 4.09%, the third-highest in the tracked set and ahead of larger brands such as ManpowerGroup and Insight Global. Its clearest weakness is a top-three rate of 11.93%, which trails Randstad, Robert Half, and Adecco by a wide margin and leaves the brand competing for lower placement in recommendation lists. The clearest opportunity is to convert its existing presence into more top-three placements, particularly on Google AI Mode and Google AI Overviews, where the brand already shows above-average visibility.

Who This Report Is For

This report is written for staffing and workforce solutions executives, category marketers, and growth leaders who need to understand how AI systems are recommending staffing agencies and where Aerotek sits in that recommendation landscape.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Aerotek

Category / market studied

Staffing Agencies

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1 qualified cluster (Best Recruiting & Staffing Agencies)

AI observations analyzed

587 qualified observations from 800 source prompt-surface observations

Competitors tracked

16

Executive Summary

Aerotek enters September 2026 as a visible but under-recommended brand in the Staffing Agencies category. The benchmark shows the company present in 41.23% of qualified observations, yet it receives a valid recommendation in only 31.86% of them. That gap of roughly nine points between presence and recommendation is the central story of this report: Aerotek is being mentioned in AI-generated answers far more often than it is being shortlisted.

The brand's recommendation profile is mid-tier. Aerotek ranks fifth by valid recommendation coverage at 31.86%, behind Robert Half (47.19%), Randstad (40.72%), Adecco (36.63%), and Insight Global (34.75%). It sits ahead of Express Employment Professionals (29.98%), ManpowerGroup (25.72%), and the remainder of the tracked set. The benchmark classifies Aerotek as stable against the July 2026 baseline, with coverage down 2.2 points from 34.1% in July.

Aerotek's strongest signal is its rank-one rate. At 4.09%, the brand is the third most likely to be named as the first recommendation in the category, behind only Robert Half (13.46%) and Randstad (9.88%). This is a meaningful strength: when Aerotek does earn a recommendation, it is more likely than most competitors to appear at the top of the list. The brand recorded 24 rank-one placements in September 2026.

The weakest signal is the top-three rate. At 11.93%, Aerotek appears in the top three of a recommendation list less often than Randstad (24.19%), Robert Half (22.32%), Adecco (17.21%), and Insight Global (15.33%). The brand's average recommended rank of 4.07 confirms this pattern: Aerotek is recommended, but typically in the middle of the list rather than at the top.

Platform-level data shows Aerotek performs best on Google AI Mode, where it holds a 17.65% top-three rate and a 46.41% valid recommendation coverage, both above its overall averages. Google AI Overviews is the second-strongest surface, with a 15.38% top-three rate and 39.10% coverage. The brand's weakest platform signal is Copilot, where it holds a 1.92% top-three rate and a 9.62% coverage rate.

The clearest gap is the distance between Aerotek and the category's top three. Adecco, the third-place brand, holds a 36.63% coverage rate and a 17.21% top-three rate, both meaningfully ahead of Aerotek. Closing that gap requires converting existing mentions into higher placement, not simply increasing visibility.

What Aerotek Is Winning

Questions This Section Answers

  • Where does Aerotek outperform larger staffing competitors in AI recommendations?
  • How does Aerotek's rank-one rate compare with brands that have higher overall recommendation coverage?
  • Which platform and sentiment signals support Aerotek's current position?

Aerotek's clearest win is its rank-one rate. At 4.09%, the brand is the third most likely in the category to be named as the first recommendation, ahead of Insight Global (2.21%), ManpowerGroup (2.21%), and Express Employment Professionals (4.77%, which is higher but on a smaller base of top-three placements). The brand recorded 24 rank-one placements in September 2026, more than Adecco (19) despite Adecco's higher overall coverage.

The brand's second win is its performance on Google AI Mode. Aerotek holds a 17.65% top-three rate and a 46.41% valid recommendation coverage on that surface, both above its category-wide averages. The brand also recorded a 6.54% rank-one rate on Google AI Mode, its strongest rank-one performance across any platform.

Aerotek's third win is its net sentiment score of 0.8678, which reflects a strong positive framing among mentions. The brand recorded 211 positive mentions against just one negative mention, indicating that when AI systems discuss Aerotek, they do so in favorable terms. This is a foundation the brand can build on.

The brand's fourth win is its stability. The benchmark classifies Aerotek as stable against the July 2026 baseline, with a coverage decline of 2.2 points that falls within normal month-to-month variation. Unlike Adecco, Kelly Services, PeopleReady, and Spherion, Aerotek has not recorded a significant baseline decline.

Where Aerotek Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Aerotek's top-three rate lag behind Randstad, Robert Half, Adecco, and Insight Global?
  • What does the gap between Aerotek's presence and valid recommendation coverage mean for its shortlist position?
  • Which platforms show the weakest top-three and coverage performance for Aerotek?

Aerotek's clearest gap is its top-three rate. At 11.93%, the brand appears in the top three of a recommendation list less often than four competitors: Randstad (24.19%), Robert Half (22.32%), Adecco (17.21%), and Insight Global (15.33%). This gap is the single largest obstacle between Aerotek's current position and the category's top tier.

The second gap is the distance between presence and recommendation. Aerotek is present in 41.23% of qualified observations but receives a valid recommendation in only 31.86%. That nine-point gap means the brand is being mentioned in contexts where it is not being shortlisted. Competitors such as Robert Half (67.63% presence, 47.19% coverage) and Randstad (64.05% presence, 40.72% coverage) convert presence into recommendation at higher rates.

The third gap is platform-specific. On Copilot, Aerotek holds a 1.92% top-three rate and a 9.62% coverage rate, both well below its category averages. On Perplexity, the brand holds a 3.45% top-three rate and an 18.97% coverage rate. These surfaces represent underdeveloped recommendation channels where competitors such as Randstad (31.03% top-three rate on Perplexity) and Robert Half (17.24% top-three rate on Perplexity) are performing more strongly.

The fourth gap is the brand's average recommended rank of 4.07. While Aerotek earns recommendations, it typically appears in the middle of the list rather than at the top. Robert Half (2.97), Randstad (2.95), and Adecco (3.38) all hold stronger average positions. This suggests that when AI systems build a recommendation list, Aerotek is often included but rarely prioritized.

Biggest Opportunity

Questions This Section Answers

  • How can Aerotek convert existing mentions into more top-three recommendations?
  • Which platforms offer the clearest path to closing the gap with category leaders?
  • Which high-intent prompts should Aerotek prioritize to improve placement?

Aerotek's biggest opportunity is to convert its existing presence into higher placement within recommendation lists, particularly on Google AI Mode and Google AI Overviews. The brand already performs above its category averages on both surfaces, with Google AI Mode showing a 17.65% top-three rate and Google AI Overviews showing a 15.38% top-three rate. These are the surfaces where Aerotek is closest to the category leaders and where targeted improvement is most likely to yield measurable gains.

The specific path is to strengthen the brand's association with the high-intent prompts that drive top-three placements. The benchmark's prompt examples include queries such as "What is the best staffing agency to work for?" and "Is it worth getting a recruiter to find a job?" These are the prompts where Aerotek's rank-one strength (4.09%) suggests the brand already has a foundation to build on. The opportunity is to extend that strength into more top-three placements across the full prompt set.

Competitive Landscape

Questions This Section Answers

  • How does Aerotek's recommendation profile compare with Robert Half, Randstad, Adecco, and Insight Global?
  • What separates the top three staffing brands from Aerotek in top-three placements and average recommended rank?

Robert Half and Randstad hold the strongest recommendation-stage positions in the Staffing Agencies category, with Adecco and Insight Global forming a second tier. Aerotek sits in the third tier, ahead of Express Employment Professionals and ManpowerGroup but behind the four brands that consistently earn top-three placements.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Randstad

24.19%

9.88%

2.95

0.8218

Robert Half

22.32%

13.46%

2.97

0.8539

Adecco

17.21%

3.24%

3.38

0.7859

Insight Global

15.33%

2.21%

3.95

0.9211

Aerotek

11.93%

4.09%

4.07

0.8678

ManpowerGroup

11.93%

2.21%

3.62

0.8153

Express Employment Professionals

11.75%

4.77%

3.86

0.9069

Kelly Services

6.98%

0.17%

4.24

0.7952

Kforce

5.11%

0.17%

4.97

0.9524

PrideStaff

4.60%

1.70%

3.09

0.9180

PeopleReady

3.58%

1.19%

4.09

0.9157

Spherion

1.53%

0.34%

3.62

0.8000

AppleOne Employment Services

0.68%

0.17%

3.00

1.0000

Employbridge

0.51%

0.17%

5.64

0.8333

Staffmark Group

0.51%

0.17%

3.80

1.0000

Openjobmetis SpA

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Aerotek's position in the table reflects its mid-tier standing: the brand holds a top-three rate tied with ManpowerGroup and slightly ahead of Express Employment Professionals, but its rank-one rate of 4.09% is the third-highest in the category. The numbers show a brand that is recommended less often than the leaders but, when recommended, is more likely to appear at the top of the list.

Prompt Evidence

Google AI Mode / Best Recruiting & Staffing Agencies Prompt: "What is the best staffing agency to work for?" Result: Aerotek appeared in the top three in 17.65% of Google AI Mode observations, its strongest top-three performance across any platform.

Perplexity / Best Recruiting & Staffing Agencies Prompt: "Is it worth getting a recruiter to find a job?" Result: Aerotek held a 3.45% top-three rate on Perplexity, well below its category average, indicating underdevelopment on this surface.

Google AI Overviews / Best Recruiting & Staffing Agencies Prompt: "staffing company near me" Result: Aerotek recorded a 15.38% top-three rate and a 39.10% valid recommendation coverage on Google AI Overviews, its second-strongest platform signal.

ChatGPT / Best Recruiting & Staffing Agencies Prompt: "What temp agency is in Wichita KS?" Result: Aerotek held a 1.23% top-three rate on ChatGPT, its weakest top-three performance across the six tracked platforms.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • What steps would an AI market discovery audit take to map Aerotek's prompt-level recommendation patterns?
  • How would a recommendation readiness plan convert Aerotek's rank-one strength into more top-three placements?
  • What owned content and citation work would support Aerotek's AI visibility goals?

Phase 1: AI Market Discovery Audit Map Aerotek's prompt-level recommendation patterns across all six platforms, identifying the specific queries where the brand earns top-three placements and where it is displaced by competitors.

Phase 2: Recommendation Readiness Plan Prioritize the high-intent prompts where Aerotek's rank-one strength suggests a foundation to build on, and define the content and citation requirements to convert presence into top-three placement.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the questions AI systems are answering, with clear, extractable statements about Aerotek's services, specialties, and differentiators.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems draw from, including industry directories, review platforms, and third-party sources that shape how Aerotek is framed in recommendation contexts.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Aerotek's top-three rate, rank-one rate, and average recommended rank month over month, with platform-level reporting to identify where gains are being made and where gaps persist.

Why This Matters

AI-generated recommendations are becoming a primary discovery channel for buyers seeking staffing agencies. When a hiring manager asks an AI system for the best staffing agency in their region or industry, the answer shapes their shortlist before they ever visit a website or speak to a sales representative. Aerotek's current position, visible but under-recommended, means the brand is being mentioned in conversations where it is not being chosen.

The path forward is not simply to increase visibility. Aerotek already appears in 41.23% of qualified observations. The opportunity is to convert that visibility into higher placement within recommendation lists, particularly on the platforms where the brand already performs well. That requires targeted correction of the prompt, page, and citation layers that shape how AI systems frame and prioritize staffing agencies.

Core Metrics

Metric

Value

Mentions

242

Valid recommendations

187

Top 3 recommendation count

70

Rank #1 recommendation count

24

Average recommended rank

4.07

Positive mentions

211

Neutral mentions

30

Negative mentions

1

Raw mention presence rate

41.23%

Valid recommendation coverage

31.86%

Top 3 recommendation rate

11.93%

Rank #1 recommendation rate

4.09%

Net sentiment score

0.8678

Strongest cluster by recommendation behavior

Best Recruiting & Staffing Agencies (C01)

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

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

Aerotek's sentiment score for September 2026 is 0.8678. This is calculated from 211 positive mentions, 30 neutral mentions, and 1 negative mention across 242 total mentions.

This score matters because unclassified mention counts are misleading. A brand that appears frequently in AI answers but is framed negatively or neutrally is not in the same position as a brand that is consistently recommended in positive terms. Aerotek's score of 0.8678 indicates that when the brand is mentioned, the framing is overwhelmingly positive.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, 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 Aerotek's classified sentiment shows a brand that is discussed favorably but not always prioritized in recommendation lists.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Mode

90

82

7

1

0.9000

Strongest public recommendation signal

Google AI Overviews

69

66

3

0

0.9565

Strong positive framing, high visibility

Gemini

36

32

4

0

0.8889

Present, but not recommendation-led

ChatGPT

17

12

5

0

0.7059

Present as context, not recommendation

Perplexity

16

13

3

0

0.8125

Positive, but sample too small

Copilot

14

6

8

0

0.4286

Present as context, not recommendation

Methodology

  1. This report is a benchmark-based analysis of Aerotek's position in the Staffing Agencies category, using data from the LLM Authority Index AI Market Discovery Index for September 2026.
  2. The reporting window is September 2026, with comparisons to July 2026 as the baseline and August 2026 as the intermediate month.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark began with 800 source prompt-surface observations and produced 587 qualified observations after qualification. Brand-level percentages use the qualified observations as the denominator.
  5. The competitor universe includes 16 tracked brands: Adecco, Aerotek, AppleOne Employment Services, Employbridge, Express Employment Professionals, Insight Global, Kelly Services, Kforce, ManpowerGroup, Openjobmetis SpA, PeopleReady, PrideStaff, Randstad, Robert Half, Spherion, and Staffmark Group.
  6. One qualified buyer-intent cluster was used: Best Recruiting & Staffing Agencies (C01), which captures discovery and consideration prompts. The Pricing & Value and Multi-Brand Comparison clusters had no qualified observations in September 2026.
  7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is defined as any appearance of a brand in a qualified observation, regardless of recommendation status.
  9. A valid recommendation is defined as a positive recommendation with a rank between 1 and 10. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are marked N/A.
  11. The benchmark does not measure market share, attributable sales, organic-search ranking positions, social media mention volume, private or sponsored channels, or causality from a metric movement alone.
  12. Small-count movements for brands such as AppleOne Employment Services, Employbridge, and Staffmark Group should be interpreted with caution given their low absolute recommendation counts.

See How AI Is Recommending Your Brand

The public benchmark shows where Aerotek stands in AI-generated recommendations across the staffing agencies category. A company-level AI visibility audit maps the prompt, platform, competitor, ranking, sentiment, and evidence-source patterns that explain why those standings look the way they do. To see how AI systems are recommending your brand and where the clearest opportunities lie, request an AI visibility audit.

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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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