Robert Half AI Market Strategy Report - Recruiting Agencies

Answer Capsule

Robert Half leads the Recruiting Agencies category in AI-generated recommendations for September 2026, holding 46.7% valid recommendation coverage across 617 qualified observations. The brand is the most recommended recruiting agency in the category, with a 7.6-point lead over second-place Randstad. Robert Half also leads on top-three rate (31.6%) and rank-one rate (22.9%), appearing as the first-named agency in 141 of 617 qualified observations. The clearest opportunity lies in understanding which prompts drove a 6.6-point decline in raw mention presence rate while recommendation coverage held steady.

Who This Report Is For

This report is written for recruiting agency executives, talent acquisition leaders, and marketing teams evaluating how their brand appears in AI-generated recommendations and where competitive displacement is occurring in the category.

Report Card

Executive Summary

Robert Half holds the strongest recommendation position in the Recruiting Agencies category for September 2026, with 46.7% valid recommendation coverage across 617 qualified observations. The brand's coverage is effectively unchanged from its July 2026 baseline of 46.8%, a difference of 0.1 points that falls within normal month-to-month variation. Robert Half leads the category by 7.6 points over Randstad, the second-place brand at 39.1% coverage.

The benchmark shows Robert Half received 288 valid recommendations in September 2026, the highest count of any tracked brand. The brand appeared in the top three recommended positions 195 times (31.6% top-three rate) and was the first-named agency 141 times (22.9% rank-one rate). Both metrics lead the category. Robert Half's average recommended rank of 2.30 is the strongest among all ten tracked brands.

Sentiment analysis shows Robert Half received 328 positive mentions, 66 neutral mentions, and 1 negative mention across the qualified observation set. The resulting net sentiment score of 0.8278 indicates overwhelmingly positive framing when the brand appears in AI-generated responses. This is framing quality, not customer sentiment, and reflects how AI systems characterize the brand when recommending it.

The strongest platform signal for Robert Half appears on Google AI Overviews, where the brand achieved a 63.9% valid recommendation coverage rate and a 29.8% rank-one rate. Google AI Mode also shows strong performance with 47.7% coverage and a 24.2% rank-one rate. These two platforms represent the largest share of qualified observations and the strongest recommendation outcomes for the brand.

The clearest gap appears in raw mention presence. Robert Half's presence rate declined from 70.6% in July 2026 to 64.0% in September 2026, a drop of 6.6 points. This means a smaller share of AI responses named Robert Half at all, even though the brand's position among responses that did mention it remained largely unchanged. The benchmark identifies this as the highest-priority diagnostic for the brand.

The category itself re-established a measurable hierarchy in September 2026 after August 2026 recorded zero recommendation coverage across all ten tracked brands. The August result appears to be an instrument-level measurement gap rather than a competitive outcome, as all brands returned to positive coverage simultaneously in September. The September 2026 comparisons in this report are made against the July 2026 baseline rather than the intervening August month.

What Robert Half Is Winning

Questions This Section Answers

• Which recommendation metrics does Robert Half lead the Recruiting Agencies category on?
• On which platforms does Robert Half's recommendation behavior perform strongest?

Robert Half holds the strongest recommendation position in the Recruiting Agencies category across multiple dimensions. The brand leads on valid recommendation coverage (46.7%), top-three rate (31.6%), rank-one rate (22.9%), and average recommended rank (2.30). No other tracked brand approaches Robert Half's first-choice strength, with Randstad's rank-one rate of 7.6% trailing by roughly threefold.

The brand's strongest platform by recommendation behavior is Google AI Overviews, where Robert Half achieved 63.9% valid recommendation coverage and a 29.8% rank-one rate across 158 qualified observations. Google AI Mode also shows strong performance with 47.7% coverage and a 24.2% rank-one rate across 153 qualified observations. These two platforms together account for the majority of Robert Half's recommendation volume.

Robert Half's sentiment profile is overwhelmingly positive. The brand received 328 positive mentions against 66 neutral and 1 negative mention, producing a net sentiment score of 0.8278. This indicates that when AI systems mention Robert Half, they frame the brand positively in the vast majority of cases. The single negative mention represents 0.16% of the brand's total mentions.

The brand also shows strength in recommendation placement stability. Robert Half's top-three rate increased slightly from 30.9% in July 2026 to 31.6% in September 2026, and its rank-one rate rose from 22.1% to 22.9% over the same period. These gains occurred while the brand's raw mention presence declined, suggesting that Robert Half's recommendation power strengthened even as its overall visibility narrowed.

Where Robert Half Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why did Robert Half's raw mention presence decline while its recommendation coverage held steady?
• Which prompt types remain unmeasured for Robert Half in the current public series?

The clearest gap for Robert Half is the disconnect between raw mention presence and recommendation coverage. The brand's presence rate fell 6.6 points from July 2026 to September 2026, from 70.6% to 64.0%, while valid recommendation coverage held nearly steady at 46.7%. This pattern suggests that within the current dataset, a smaller share of AI responses named Robert Half at all, but the brand's position among responses that did mention it remained largely unchanged.

The benchmark identifies this as the highest-priority diagnostic for the brand: which prompts drove the presence decline, and did those prompts shift to competitors or to general, non-branded answers? Without prompt-level analysis, the cause of the decline remains unclear. The pattern could indicate that AI systems are answering certain queries with general guidance rather than specific brand recommendations, or that competitors captured mention share in prompts where Robert Half previously appeared.

The category's buyer-intent distribution also reveals a structural gap. All 617 qualified observations in September 2026 fell into the Brand Recommendation class. The benchmark recorded one pricing analysis observation and 24 comparison analysis observations, but these were too thin to support commercial conclusions. This means the current public series measures brand recommendation discovery exclusively and does not yet address pricing, value, or head-to-head comparison questions. Robert Half's position in those prompt types remains unmeasured.

On Copilot, Robert Half's valid recommendation coverage was 45.5%, slightly below its category-leading average. The brand's rank-one rate on Copilot was 12.7%, well below its 22.9% category-wide rate. While Copilot represents a smaller share of qualified observations (55 total), the platform shows a relative gap in first-position strength for Robert Half compared to its performance on Google AI Overviews and Google AI Mode.

Biggest Opportunity

Questions This Section Answers

• What is the priority diagnostic for Robert Half's declining raw mention presence?
• Which high-intent prompts should guide Robert Half's citation and content strategy?

Robert Half's clearest opportunity is to diagnose and correct the 6.6-point decline in raw mention presence while protecting its category-leading recommendation coverage. The brand already holds the strongest position in the category when it appears in AI responses. The opportunity lies in understanding why it appears less often and whether those lost mentions represent prompts where competitors gained ground or where AI systems shifted to non-branded answers.

This diagnostic work should focus on the high-intent prompt clusters where Robert Half previously appeared. The benchmark's prompt examples include queries such as "staffing agencies," "temp service," "What temp agency is in Wichita KS?", "Is Manpower a recruitment agency?", "urgent hiring near me," "executive search firm," "staffing companies," "How quickly can I get a temp job?", "top executive search firms," and "temp staffing agency near me." Understanding which of these prompts drove the presence decline would allow Robert Half to target its citation and content strategy more precisely.

The opportunity is not to increase recommendation coverage, which already leads the category. The opportunity is to restore mention presence in prompts where the brand has slipped, ensuring that Robert Half appears in the consideration set even when it is not the first recommendation. Presence is the prerequisite for recommendation, and a declining presence rate represents a leading indicator that could affect recommendation coverage in future measurement periods.

Competitive Landscape

Questions This Section Answers

• How does Robert Half's first-choice strength compare with Randstad and Adecco?
• What separates Robert Half's average recommended rank from the rest of the Recruiting Agencies category?

Robert Half holds the strongest recommendation-stage position in the Recruiting Agencies category, leading on valid recommendation coverage, top-three rate, rank-one rate, and average recommended rank. Randstad is the strongest challenger at 39.1% coverage, while Adecco follows at 33.9%. The two executive-search specialists, Spencer Stuart and Heidrick & Struggles, recorded significant declines from their July 2026 baselines and now sit at the bottom of the category.

Average recommended rank covers rank-eligible recommendations only.

Robert Half's position at the top of the table reflects its category-leading performance across every recommendation metric. The brand's rank-one rate of 22.85% is more than three times higher than Randstad's 7.62%, the second-highest rank-one rate in the category. Robert Half's average recommended rank of 2.30 is the only average below 3.0 among tracked brands, indicating that when the brand receives rank-eligible recommendations, it typically appears in the top two positions.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "staffing agencies" Result: Robert Half appeared as the first recommendation with positive framing, contributing to its 29.8% rank-one rate on this platform.

Google AI Mode / Brand Recommendation Prompt: "top executive search firms" Result: Robert Half was recommended in the top three positions, supporting its 33.3% top-three rate on this platform.

ChatGPT / Brand Recommendation Prompt: "temp staffing agency near me" Result: Robert Half received a valid recommendation with a rank-one placement, contributing to its 14.4% rank-one rate on ChatGPT.

Copilot / Brand Recommendation Prompt: "urgent hiring near me" Result: Robert Half appeared in the recommendation set but with lower first-position strength, reflecting its 12.7% rank-one rate on Copilot compared to higher rates on Google platforms.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Robert Half's prompt-level presence and recommendation patterns across all six tracked platforms to identify which specific queries drove the 6.6-point presence decline and where competitors gained mention share.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters where Robert Half lost presence but retains recommendation strength, focusing on restoring mention frequency without disrupting the brand's category-leading recommendation position.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the high-intent prompts where Robert Half's presence declined, ensuring AI systems have authoritative brand-controlled sources to retrieve and synthesize.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems draw from when forming recommendations, including third-party sources, industry directories, and authoritative references that support Robert Half's positioning.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor presence rate, recommendation coverage, top-three rate, and rank-one rate monthly to detect early signals of competitive displacement and measure the impact of remediation efforts.

Why This Matters

AI presence alone is not enough. Robert Half's September 2026 results show that a brand can maintain category-leading recommendation coverage while its raw mention presence declines. This pattern matters because presence is the prerequisite for recommendation. If Robert Half appears in fewer AI responses over time, the brand's recommendation coverage could eventually follow, even if the current measurement period shows stability.

The next move is targeted correction of the prompt, page, and citation layers that drive AI-generated recommendations. Robert Half already holds the strongest position in the category when it appears. The opportunity is to ensure the brand appears more often in the high-intent prompts where buyers are forming their shortlists. That requires understanding which prompts drove the presence decline, which competitors captured those mentions, and what sources AI systems are drawing from when they answer those queries.

Core Metrics

Sentiment Score

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

Robert Half's sentiment score for September 2026 is 0.8278, calculated as (328 × 1 + 66 × 0 + 1 × -1) / 395. This score indicates that when AI systems mention Robert Half, they frame the brand positively in the vast majority of cases.

This matters because unclassified mention counts are misleading. A brand that appears frequently but is described neutrally or negatively is not in the same position as a brand that appears less often but is consistently recommended. 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.

Robert Half's sentiment profile is overwhelmingly positive, with 83.0% of mentions classified as positive, 16.7% as neutral, and 0.3% as negative. The single negative mention represents a negligible share of the brand's total mention volume. This sentiment profile supports the conclusion that Robert Half's AI visibility is not just frequent but favorably framed.

Sentiment by Platform

Robert Half's strongest platform sentiment appears on Google AI Mode (0.859) and Google AI Overviews (0.856), where the brand also achieves its highest recommendation coverage rates. Copilot shows the lowest sentiment score (0.795) and the lowest rank-one rate (12.7%) among platforms where Robert Half has meaningful presence. Gemini shows a sentiment score of 0.722, the lowest among all platforms, with 15 neutral mentions against 39 positive mentions.

Methodology

1. This report analyzes Robert Half's AI-generated recommendation performance within the Recruiting Agencies category for September 2026.
2. The reporting window covers September 2026, with comparisons made against the July 2026 baseline. August 2026 recorded no valid-recommendation signal for any tracked brand and is treated as an instrument-level measurement gap rather than a competitive outcome.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six platforms recorded at least one qualified observation during the reporting period.
4. The September 2026 collection began with 800 prompt-surface observations across 510 unique questions. After qualification, 617 observations were retained for the public benchmark denominator.
5. Ten brands were tracked in the Recruiting Agencies category: 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 comparison prompt types were present but too thin to support commercial conclusions.
7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. A mention is defined as any appearance of the brand in an AI-generated response, regardless of whether the brand is recommended. A valid recommendation is defined as an explicit recommendation or shortlist inclusion, excluding neutral references, cautionary mentions, or comparison anchors.
9. Top-three rate measures the share of qualified observations in which the brand appears in the top three recommended positions. Rank-one rate measures the share of qualified observations in which the brand is the first recommendation.
10. Average recommended rank covers rank-eligible recommendations only. A brand with no rank-eligible recommendations receives a value of N/A for this metric.
11. 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.
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 Robert Half is winning and where its presence is declining. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and evidence sources that drive recommendation outcomes for your brand. Request an AI visibility audit to see which high-intent queries you are winning, which you are losing, and where your competitors are being recommended instead.