How AI Search Is Recommending Payroll Software: Monthly Trends

Executive Summary

Gusto remains the category leader in October 2026 with 74.3% valid recommendation coverage, holding a 9.1-point lead over second-place QuickBooks Payroll at 65.2%. Gusto's coverage rose 3.5 points from 70.8% in September 2026, though this movement stayed within the range the benchmark treats as ordinary variation, and the brand sits 1.6 points below its 75.9% July 2026 baseline.

The largest upward mover across the full series remains Patriot Software, which climbed from 39.3% coverage in July 2026 to 55.2% in October 2026, a 15.9-point significant rise that has carried it to third place. Patriot Software added 2.0 points from September to October 2026, its third consecutive monthly gain, and now sits ahead of OnPay at 47.5%.

OnPay posted the sharpest baseline-to-current decline, falling 8.1 points from 55.6% in July 2026 to 47.5% in October 2026, a significant drop marking a third straight month of decline. ADP TotalSource recorded the largest prior-to-current move, down 13.1 points from 46.4% to 33.3%, its second consecutive monthly decline.

October 2026 was a mixed month. Five brands registered significant gains against their July 2026 baselines, five registered significant declines, and four held stable. The benchmark's tracked brand set has now been in its repositioned form for three months, so the PEO-focused entities and the rebranded Square carry three months of comparable data.

Each monthly run begins with 800 prompt-surface observations (437 unique questions in July 2026 and 475 in October 2026) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor in both months; 794 were relevant and 6 were irrelevant in July 2026, while 789 were relevant and 11 were irrelevant in October 2026. The public metrics use the 639 observations in July 2026 and 669 in October 2026 that survive both qualification stages. August 2026 and September 2026 sat between these months with 680 and 671 qualified observations respectively.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which payroll brands were flagged for pricing inconsistencies across AI platforms?
• What specific pricing claims did ChatGPT, Copilot, Google AI Mode, and Google AI Overviews conflict on?

The benchmark detected 8 critical or high-severity factual inconsistencies across 4 AI platforms: ChatGPT, Copilot, Google AI Mode, and Google AI Overviews. These conflicts concern pricing claims, where platforms surfaced incompatible figures for the same products.

Gusto

Five high-severity pricing inconsistencies involve Gusto, the most of any company in the set.

AI platforms provided conflicting information about Gusto's Simple plan base price. When asked "What is the best payroll software for a small business?", ChatGPT stated $49/month while Google AI Mode stated $40/month, citing Gusto's own pricing page and a third-party comparison page respectively.

A second conflict on the same topic appeared when users asked "What is the best payroll service for small businesses?" ChatGPT again reported a $49/month base fee while Google AI Mode reported $40/month, this time citing CNBC and a Gusto product page.

Responses differed on Gusto's full fee structure when asked "How much do payroll services cost?" Google AI Mode described Gusto among DIY platforms with a base fee of $35 to $50 and a per-employee fee of $4 to $8, while Copilot listed Gusto Simple at $49 base plus $6 per employee, Gusto Plus at $80 base plus $12 per employee, and Gusto Premium at $180 base plus $22 per employee. Copilot's figures drew on HR cost guides and third-party pricing blogs.

A related conflict on the same question pitted Google AI Overviews against Google AI Mode. AI Overviews stated Gusto starts at $40 to $80 base fee plus $6 to $12 per employee per month, while AI Mode capped the range at $35 to $50 base and $4 to $8 per employee.

A final pricing conflict on the same question pitted Google AI Overviews against Copilot. AI Overviews stated the $40 to $80 base and $6 to $12 per-employee range, while Copilot stated the three-tier structure topping out at $180 base and $22 per employee. One flagged source, a Gusto pricing reference, showed $49 plus $6 per employee, matching neither extreme cleanly.

OnPay

One high-severity pricing inconsistency involves OnPay.

AI platforms provided conflicting information about OnPay's starting base price. When asked "What do small businesses use for payroll?", ChatGPT reported OnPay's starting price at $79/month for 5 employees while Copilot stated $49 plus $6, citing a small-business tools guide that listed OnPay at $49 plus $6.

Patriot Software

One high-severity pricing inconsistency involves Patriot Software.

Responses differed on Patriot Software's base price. When asked "What software is best for payroll?", Google AI Overviews stated a starting price of $17/month plus $4 per worker while Google AI Mode stated $37/month plus $5 per worker. A flagged source from a payments-industry blog supported the lower figure at $17/month plus $4 per employee.

QuickBooks Payroll

One high-severity pricing inconsistency involves QuickBooks Payroll.

AI platforms provided conflicting information about QuickBooks Payroll's starting price. When asked "What is the best payroll service for small businesses?", Copilot stated $50 base plus $7 per employee while Google AI Mode stated $45/month base plus $6/month per worker. A flagged source from a small-business tools guide supported the Copilot figure at $50 plus $7.

Benchmark Context

Questions This Section Answers

• How did the qualified benchmark set change between July and October 2026?
• What is the difference between the raw collection universe and the qualified analysis set?

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

August 2026 recorded 680 qualified observations and September 2026 recorded 671.

Benchmark-Level Metrics

The recommendation-shaped answer share moved unevenly across the series, dipping to 32.8% in August 2026 and 32.0% in September 2026 before recovering sharply in October 2026. The valid recommendation shortlist share followed a similar U-shaped path, falling to 69.3% in August 2026 and 72.7% in September 2026, then reaching its series high in October 2026.

AI Recommendation Trend

Questions This Section Answers

• Which payroll brands separated from the rest of the field in October 2026?
• How did the top brands' coverage shift between July and October 2026?

Category Leadership Holds as the Upper Tier Separates from the Rest

Patriot Software's 15.9-point rise and OnPay's 8.1-point decline both exceeded normal month-to-month variation. The remaining category-level change came from a combination of smaller movements, including Gusto's 3.5-point September-to-October recovery and ADP TotalSource's 13.1-point prior-to-current pullback.

What Changed This Month

Questions This Section Answers

• Which brands posted significant coverage movement in October 2026, and what drove it?
• Why did ADP TotalSource's coverage drop sharply from September to October?

Gusto: Coverage Recovers but Stays Below the July Baseline

Gusto's valid recommendation coverage rose 3.5 points from 70.8% in September 2026 to 74.3% in October 2026, a movement within normal variation. Against the July 2026 baseline of 75.9%, coverage sits 1.6 points lower, a non-significant change across the full series.

Raw mention presence reached 96.0% in October 2026, down 3.2 points from 99.2% in July 2026, a significant decline. Top-three recommendation rate rose 1.1 points over the same period from 66.3% to 67.4%, and rank-one rate gained 2.8 points from 57.1% to 59.9%, both within ordinary variation. Gusto earned 401 rank-one recommendations out of 669 qualified observations in October 2026, up from 365 out of 639 in July 2026.

The distinction to notice: Gusto's coverage sits near its series high while its raw mention presence has declined, meaning the brand is converting a slightly smaller pool of mentions into a larger share of recommendations.

Highest-priority diagnostic: Which prompt categories produced the 3.5-point September-to-October recovery, and do they differ from the categories where the 3.2-point presence decline occurred?

QuickBooks Payroll: Top-Three Placement Jumps While Coverage Holds

QuickBooks Payroll's valid recommendation coverage slipped 1.8 points from 67.0% in July 2026 to 65.2% in October 2026, a non-significant change. September-to-October coverage rose 2.0 points from 63.2%, recovering part of a mid-series dip.

Top-three recommendation rate rose 16.7 points from 32.2% in July 2026 to 48.9% in October 2026, a significant gain. Rank-one rate held essentially flat, down 0.1 points from 1.2% to 1.1%. Raw mention presence was nearly unchanged at 84.0% in October 2026 versus 84.5% in July 2026. QuickBooks Payroll earned 327 top-three recommendations out of 669 qualified observations in October 2026, up from 206 out of 639 in July 2026.

The distinction to notice: QuickBooks Payroll's placement improvement is concentrated in the top-three tier rather than at rank one, where its rate remains near 1%.

Highest-priority diagnostic: Which surfaces drove the 16.7-point top-three gain, and why did that gain not translate into rank-one placements?

Patriot Software: Third Consecutive Monthly Gain

Patriot Software's valid recommendation coverage rose 2.0 points from 53.2% in September 2026 to 55.2% in October 2026. Across the full series, coverage climbed 15.9 points from 39.3% in July 2026, a significant rise that has carried the brand into third place.

Raw mention presence rose 18.0 points from 45.4% in July 2026 to 63.4% in October 2026, a significant gain. Top-three rate rose 22.5 points from 7.5% to 30.0%, and rank-one rate gained 4.9 points from 0.8% to 5.7%, both significant. Patriot Software earned 38 rank-one recommendations out of 669 qualified observations in October 2026, up from 5 out of 639 in July 2026.

The distinction to notice: Patriot Software's growth spans presence, top-three placement, and rank-one placement simultaneously, a pattern consistent with broad recommendation strength rather than isolated placement gains. Its net sentiment score held steady at 0.9 across the series.

Highest-priority diagnostic: Which prompt categories and surfaces drove the incremental 2.0-point October gain, and is the brand's advantage concentrated in specific buyer contexts?

OnPay: Third Straight Month of Decline

OnPay's valid recommendation coverage fell 4.2 points from 51.7% in September 2026 to 47.5% in October 2026, extending a decline from the July 2026 baseline of 55.6%. The cumulative 8.1-point drop across the series is significant, and the brand has now declined for three consecutive months.

Raw mention presence slipped 2.8 points from 65.6% in July 2026 to 62.8% in October 2026, within ordinary variation. Top-three rate fell 4.2 points from 23.9% to 19.7%, also within ordinary variation. Rank-one rate moved up 0.3 points from 0.9% to 1.2%. OnPay's average recommended rank of 3.72 in October 2026 places it mid-pack among brands with meaningful coverage.

The distinction to notice: OnPay's decline is gradual and spread across the series rather than concentrated in one month, and its rank-one rate has not deteriorated alongside coverage.

Highest-priority diagnostic: Which prompt categories account for the three-month coverage decline, and which brands are appearing in those categories in OnPay's place?

ADP TotalSource: Sharp Prior-to-Current Pullback

ADP TotalSource's valid recommendation coverage fell 13.1 points from 46.4% in September 2026 to 33.3% in October 2026, a significant prior-to-current decline and the brand's second consecutive monthly drop. Against the July 2026 baseline, when the entity was not yet tracked, the brand gained 33.3 points in its first month of comparable data at 48.8% in August 2026.

Raw mention presence declined from 66.8% in August 2026 to 42.3% in October 2026. Top-three rate fell from 23.4% in August 2026 to 16.3% in October 2026, and rank-one rate fell from 6.0% to 3.4%. ADP TotalSource earned 23 rank-one recommendations out of 669 qualified observations in October 2026.

The distinction to notice: ADP TotalSource's presence decline outpaced its coverage decline, meaning the brand is mentioned less often in October 2026 and converting those mentions at a similar rate.

Highest-priority diagnostic: Which prompt categories drove the two-month presence decline, and did the brand lose mentions to competitors outside the tracked set?

Square, Rippling PEO, and Paychex PEO: Second and Third Months of Comparable Data

Square's coverage fell 3.6 points from 39.2% in September 2026 to 35.6% in October 2026, a second consecutive monthly decline from its 43.4% August 2026 entry point. The brand's rank-one rate held at 0.6%, and average recommended rank was 4.62. Rippling PEO's coverage held nearly flat, down 0.5 points from 35.6% to 35.1%, after climbing 4.4 points between its August entry and September. Paychex PEO's coverage eased 2.0 points from 23.2% to 21.2%.

The distinction to notice: All three entities carry three months of comparable data now, so the baseline-to-current figures for these brands reflect competitive movement rather than the August 2026 tracking change.

Highest-priority diagnostic: Which prompts and surfaces separate the three PEO-adjacent entities' trajectories, and are they competing for the same buyer contexts?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters produced qualified benchmark observations?
• Why can't the benchmark yet answer price-sensitive or head-to-head comparison questions?

In all four months of the series, every qualified observation fell into the Brand Recommendation cluster. The October 2026 response-type distribution did include 125 pricing analysis and 33 comparison analysis responses, but these did not produce qualified observations in the pricing or comparison clusters. The public benchmark cannot yet answer price-sensitive or head-to-head comparison questions. This gap is notable given the pricing inconsistencies documented above: AI platforms are answering pricing questions, and doing so inconsistently, but those answers sit outside the qualified benchmark set.

Brand Opportunity Summary

Questions This Section Answers

• Which payroll brands show the strongest and weakest October 2026 coverage signals?
• What diagnostic question should each brand investigate next?

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Visibility Market Discovery research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movement: Paycom (32 valid recommendations), Justworks (68), and Paychex PEO (142) have small denominators; their coverage percentages can move sharply with few recommendation changes and should be read with caution.
• Qualified denominator vs raw collection: Brand-level percentages are calculated against the qualified benchmark set (639 observations in July 2026 and 669 in October 2026), not the 800 raw prompt-surface observations collected each month.
• Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate coverage percentage sit the questions that matter for strategy: which high-intent prompts does a brand win outright, which competitor takes the recommendation when a brand loses, what attributes do AI systems associate with each option, and which external sources shape those answers. A brand with 74.3% coverage may be losing the most valuable buyer-intent queries, while a brand at 4.8% may be winning every query where it is mentioned.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. Where the public benchmark shows movement, the audit reveals the mechanisms.

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