CiteWorks Studio

Aerotek AI Market Strategy Report - Recruiting Agencies

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Aerotek holds 24.15% valid recommendation coverage in recruiting agencies, ranking seventh out of ten tracked brands.
  • The brand’s strongest asset is framing quality, with a 0.8913 net sentiment score and no negative mentions recorded.
  • Aerotek is mentioned more often than it is recommended, showing a 5.67-point gap between raw presence and valid recommendation coverage.
  • Google AI Mode is Aerotek’s strongest platform, while ChatGPT and Copilot show the clearest gaps in coverage and top-three placement.

Answer Capsule

Aerotek holds 24.15% valid recommendation coverage in the Recruiting Agencies category in September 2026, ranking seventh of ten tracked brands. The company is visible in AI-generated recommendations but converts that presence into top-three placement at a lower rate than its coverage would suggest, with a 13.29% top-three rate and a 3.24% rank-one rate. Aerotek's clearest strength is its framing quality: a 0.8913 net sentiment score, the second-highest in the tracked set. Its clearest gap is recommendation conversion, where it trails category leader Robert Half by 22.55 points on coverage and 18.31 points on top-three placement.

Who This Report Is For

This report is written for Aerotek's marketing, brand, and growth leadership, and for category analysts tracking how staffing and workforce-solutions brands are recommended across AI search and assistant surfaces.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Aerotek

Category / market studied

Recruiting Agencies

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

3

AI observations analyzed

617

Competitors tracked

10

Executive Summary

Aerotek is present in AI-generated recommendations across the Recruiting Agencies category, but it is under-recommended relative to its visibility. The brand appeared in 184 of 617 qualified observations, a 29.82% raw mention presence rate, yet received a valid recommendation in only 149 of those observations, a 24.15% valid recommendation coverage rate. That gap between being mentioned and being recommended is the central finding of this report.

The September 2026 benchmark places Aerotek seventh of ten tracked brands by valid recommendation coverage. Category leader Robert Half holds 46.70% coverage, Randstad holds 39.06%, and Adecco holds 33.87%. Aerotek's 24.15% coverage sits in a tightly grouped lower tier that includes ManpowerGroup at 24.31%, Kelly Services at 18.00%, and the two executive-search specialists, Heidrick & Struggles at 14.79% and Spencer Stuart at 14.43%.

Aerotek's framing quality is a genuine strength. Its 0.8913 net sentiment score is the second-highest among tracked brands, behind only Insight Global at 0.8982. Of 184 mentions, 164 were positive and 20 were neutral, with zero negative mentions recorded. AI systems describe Aerotek in favorable terms when they surface it.

The recommendation placement picture is weaker. Aerotek's top-three rate of 13.29% places it in a tie with Korn Ferry, well behind Robert Half at 31.60% and Randstad at 21.39%. Its rank-one rate of 3.24% means Aerotek is the first-named agency in roughly 20 of 617 qualified observations. Its average recommended rank of 3.83 indicates that when Aerotek does receive rank credit, it typically lands in the third or fourth position rather than at the top of the shortlist.

The strongest platform signal for Aerotek is Google AI Mode, where it recorded a 33.33% valid recommendation coverage rate and a 22.22% top-three rate, both above its overall averages. The weakest platform signal is Copilot, where Aerotek recorded a 10.91% coverage rate and zero top-three placements. ChatGPT also underperforms for the brand, with a 10.00% coverage rate and a 1.11% top-three rate.

All 617 qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. The benchmark does not yet capture pricing, value, or head-to-head comparison prompts for this category, which limits what can be concluded about Aerotek's position in later-stage buyer research.

What Aerotek Is Winning

Questions This Section Answers

  • How strong is Aerotek's sentiment and framing quality compared to other recruiting agencies?
  • Where does Aerotek perform best among the tracked AI platforms?

Aerotek's strongest evidence-backed win is its framing quality. The brand recorded 164 positive mentions against 20 neutral and zero negative mentions across 617 qualified observations, producing a 0.8913 net sentiment score. Only Insight Global scored higher at 0.8982. This means AI systems that do surface Aerotek tend to describe it favorably, which is a meaningful foundation for recommendation conversion.

The brand's second win is its performance on Google AI Mode. Aerotek recorded a 33.33% valid recommendation coverage rate on that platform, compared to its 24.15% overall rate, and a 22.22% top-three rate, compared to its 13.29% overall rate. Google AI Mode is the highest-volume platform in the tracked set with 153 observations, so this is a substantive signal rather than a small-sample artifact.

Aerotek also shows a narrow but real rank-one pocket on Google AI Mode, where it recorded an 8.51% rank-one rate, more than double its 3.24% overall rate. This suggests that on at least one major surface, Aerotek is occasionally the first agency named.

Where Aerotek Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Aerotek get mentioned more often than it gets recommended by AI assistants?
  • On which platforms does Aerotek's recommendation placement fall furthest behind?
  • How far behind is Aerotek on top-three and rank-one placements in the Recruiting Agencies category?

Aerotek's clearest gap is recommendation conversion. The brand is mentioned in 29.82% of qualified observations but receives a valid recommendation in only 24.15%. That 5.67-point gap between presence and recommendation means a meaningful share of AI responses that name Aerotek do not place it on the shortlist. By comparison, Robert Half converts 64.02% presence into 46.70% coverage, and Randstad converts 59.61% presence into 39.06% coverage. Aerotek's conversion ratio is lower than both.

The second gap is top-three placement. Aerotek's 13.29% top-three rate trails Robert Half by 18.31 points and Randstad by 8.10 points. It is tied with Korn Ferry, a brand with a lower presence rate but similar placement strength. This suggests Aerotek is frequently included in longer recommendation lists but rarely elevated into the top tier where buyer shortlists are formed.

The third gap is platform concentration. Aerotek's recommendation strength is heavily dependent on Google AI Mode. On ChatGPT, the brand recorded a 10.00% coverage rate and a 1.11% top-three rate across 90 observations. On Copilot, it recorded a 10.91% coverage rate and zero top-three placements across 55 observations. On Perplexity, it recorded a 15.79% coverage rate and a 2.63% top-three rate across 76 observations. These are materially weaker than its Google AI Mode performance and suggest the brand's recommendation footprint is not evenly distributed across the surfaces buyers use.

A fourth gap is rank-one strength. Aerotek's 3.24% rank-one rate places it behind Robert Half at 22.85%, Randstad at 7.62%, and Korn Ferry at 7.62%. Being named first is the strongest form of recommendation credit, and Aerotek rarely achieves it outside of Google AI Mode.

Biggest Opportunity

Questions This Section Answers

  • What would it take for Aerotek to convert its favorable AI framing into top-three placement?
  • Why do ChatGPT and Copilot represent the largest opportunity for Aerotek's recommendation coverage?

Aerotek's biggest opportunity is converting its favorable framing into top-three placement on ChatGPT and Copilot. The brand already earns positive descriptions when it appears, with zero negative mentions recorded. The constraint is not reputation but retrieval and ranking. On ChatGPT and Copilot combined, Aerotek recorded 21 valid recommendations across 145 observations, a 14.48% coverage rate, compared to 33.33% on Google AI Mode. Closing even part of that platform gap would move Aerotek's overall top-three rate meaningfully, because ChatGPT and Copilot together account for 145 of the 617 qualified observations.

The specific path is to strengthen the public evidence layer that ChatGPT and Copilot appear to draw from when constructing staffing and recruiting agency recommendations. That means ensuring Aerotek's owned pages, third-party profiles, and citation-supported sources are structured around the same high-intent prompts where the brand already performs well on Google AI Mode.

Competitive Landscape

Questions This Section Answers

  • How does Aerotek compare with Robert Half, Randstad, and Adecco on top-three and rank-one rates?
  • What does the gap between Aerotek's sentiment rank and its placement rank indicate about its competitive position?

Robert Half holds the strongest recommendation-stage position in the Recruiting Agencies category, with Randstad and Adecco forming a clear second tier. Aerotek sits in the middle of the tracked set, with strong framing quality but weaker top-three and rank-one placement than the brands above it.

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.

Aerotek's position in the table reflects a brand with above-average framing quality and below-average placement strength. Its 0.8913 sentiment score is the second-highest in the set, but its 13.29% top-three rate places it fifth, tied with Korn Ferry. The gap between Aerotek's sentiment rank and its placement rank is the widest of any brand in the tracked set.

Prompt Evidence

Google AI Mode / Best Recruiting Agencies, Discovery and Evaluation Prompt: "staffing agencies" Result: Aerotek was recommended and placed in the top three, consistent with its 33.33% coverage rate on this platform.

ChatGPT / Best Recruiting Agencies, Discovery and Evaluation Prompt: "Is it worth it to go through a temp agency?" Result: Aerotek received a valid recommendation but was not placed in the top three, consistent with its 1.11% top-three rate on ChatGPT.

Copilot / Best Recruiting Agencies, Discovery and Evaluation Prompt: "What is the best staffing agency to work for?" Result: Aerotek was mentioned but received no top-three placement, consistent with its zero top-three count on Copilot.

Perplexity / Best Recruiting Agencies, Discovery and Evaluation Prompt: "executive search firm" Result: Aerotek appeared in the recommendation set but ranked outside the top three, consistent with its 2.63% top-three rate on Perplexity.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts, platforms, and competitor displacements that explain Aerotek's 5.67-point presence-to-recommendation gap and its platform concentration on Google AI Mode.

Phase 2: Recommendation Readiness Plan Prioritize the ChatGPT and Copilot prompt clusters where Aerotek is mentioned but not shortlisted, and define the placement targets that would move its top-three rate toward the category's second tier.

Phase 3: Owned Answer Layer Buildout Strengthen Aerotek's owned pages around the staffing, temp, and recruiting prompts where the brand already earns positive framing, so AI systems have clearer, more retrievable material to draw from.

Phase 4: Citation and Authority Layer Development Build the third-party and citation-supported evidence layer that ChatGPT and Copilot appear to rely on when constructing agency recommendations, focusing on the source types already visible in the benchmark's citation data.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Aerotek's coverage, top-three rate, rank-one rate, and sentiment by platform each month to confirm whether placement gaps are closing and to catch any new displacement patterns early.

Why This Matters

Questions This Section Answers

  • Why isn't AI presence alone enough to get Aerotek onto buyer shortlists?
  • What is the relationship between how often Aerotek appears and how often it gets recommended by AI assistants?

AI presence alone is not enough. Aerotek is mentioned in nearly 30% of qualified observations, but it is recommended in only 24.15% and placed in the top three in only 13.29%. Buyers who ask an AI assistant for staffing or recruiting agency recommendations are not shown a list of every brand mentioned. They are shown a shortlist, and the brands that appear first shape which agencies get considered.

Aerotek's favorable framing is an asset, but framing without placement does not convert into shortlist eligibility. The next move is targeted correction of the prompt, page, and citation layers that determine whether Aerotek appears in the top three on the platforms where it currently underperforms, particularly ChatGPT and Copilot.

Core Metrics

Metric

Value

Mentions

184

Valid recommendations

149

Top 3 recommendation count

82

Rank #1 recommendation count

20

Average recommended rank

3.83

Positive mentions

164

Neutral mentions

20

Negative mentions

0

Raw mention presence rate

29.82%

Valid recommendation coverage

24.15%

Top 3 recommendation rate

13.29%

Rank #1 recommendation rate

3.24%

Net sentiment score

0.8913

Strongest cluster by recommendation behavior

Best Recruiting Agencies, Discovery and Evaluation

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

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

For Aerotek in September 2026, that calculation is (164 × 1 + 20 × 0 + 0 × -1) / 184, which produces a score of 0.8913.

This matters because unclassified mention counts are misleading. A brand that appears frequently in neutral or cautionary contexts is not in the same position as a brand that appears less often but is consistently described favorably. 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, and counting all mentions as wins is bad measurement.

Aerotek's 0.8913 sentiment score indicates that when AI systems do surface the brand, they describe it positively. That is a real asset. But sentiment is framing quality, not recommendation strength. Aerotek's challenge is not how it is described when it appears. It is how often it appears in the top three, and on which platforms.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Mode

64

60

4

0

0.9375

Strongest public recommendation signal

Google AI Overviews

58

53

5

0

0.9138

Present, but not recommendation-led

Perplexity

14

13

1

0

0.9286

Positive, but sample too small

Gemini

28

23

5

0

0.8214

Present as context, not recommendation

ChatGPT

12

9

3

0

0.7500

Present, but not recommendation-led

Copilot

8

6

2

0

0.7500

No top-three placement recorded

Methodology

  1. This report is a benchmark-based analysis of Aerotek's position in the Recruiting Agencies category, drawing on the LLM Authority Index AI Market Discovery Index for September 2026 and the associated metrics aggregation dataset.
  2. The reporting window is September 2026. Comparisons are made against the July 2026 baseline, the last month with comparable brand-level signal before an August 2026 measurement gap.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six were present in the qualified observation set.
  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. Three public high-intent clusters were defined: Best Recruiting Agencies, Discovery and Evaluation; Recruiting Agency Comparisons, Competitive Evaluation; and Recruiting Agency Pricing, Cost and Fee Research. All 617 qualified observations fell into the first cluster.
  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 counted when a brand appears in a qualified observation, regardless of placement or framing.
  9. A valid recommendation is counted when the dataset marks the brand as receiving recommendation credit, separate from a mention or a neutral reference.
  10. August 2026 recorded zero recommendation coverage across all ten tracked brands, followed by a full recovery in September 2026. This pattern is treated as a measurement-period difference rather than a competitive outcome.
  11. The benchmark does not measure market share, sales attributable to AI-driven discovery, organic-search ranking, or social mention volume. It should be read as a directional signal.
  12. Movement between months identifies changes worth investigating. It does not by itself establish the cause of those changes.

See How AI Is Recommending Your Brand

The public benchmark shows where Aerotek stands in AI-generated recommendations across the Recruiting Agencies category. A company-level AI visibility audit maps the specific prompts, platforms, competitor displacements, and citation sources behind those numbers, and identifies where Aerotek's recommendation coverage can be strengthened.

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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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