Industry reportAI availabilityGlobal HR and payroll platformsAugust 2026
What AI tells HR and payroll buyers
When a company decides to hire abroad or buy its first HR system, someone on that team now asks an AI assistant before they ever see a vendor's website. We recorded 1,008 of those answers across the eight situations in which this category gets bought. If you sell HR or payroll software, this is the shortlist your buyers see before you know they exist.
- Three companies younger than most of their competitors' logos own this market in the machines' heads. Deel, Rippling and Remote take 54 percent of all recommendations between them, and they lead in seven of eight buying situations.
- Workday, worth tens of billions, exists for exactly one buyer. It appears in every answer about enterprise HR and nearly vanishes everywhere else, including a flat zero on hiring abroad and paying contractors.
- Personio, Europe's HR champion, appears in 1 percent of answers. Letting the assistants search the web lifts it to 2 percent. For any buyer who starts with an AI question, the leading European vendor effectively does not exist.
- Recommendations barely change when assistants search the web, which means positions here are held in the models' memory, the slowest asset in marketing to build and the hardest to take away.
- This category's answers are fed by the winners' own websites. The loop is self-reinforcing, and it has an entrance.
Who the machines recommend
Share of all brand recommendations across eight buying situations, in both modes: what the models answer from memory, and what they answer after searching the web. Small gaps are noise; the ones discussed here are not.
Finding 1: the new guard owns the machines' memory
Deel, Rippling and Remote take more recommendations than the rest of the category combined. The pattern repeats what our CRM report found with Microsoft Dynamics, now at category scale: revenue rank and machine rank are different leaderboards. AI assistants learned this category from the internet of the last five years, and that internet talks about remote work, global hiring and the tools built for both. Every incumbent strategy deck that assumes brand equity carries over into AI answers should be tested against this table.
Finding 2: Workday is an enterprise hermit
Workday appears in effectively every answer about enterprise HR platforms, then almost vanishes: 30 percent or less everywhere else, zero on hiring abroad and paying contractors. That is either a razor-sharp position or a slow leak of tomorrow's mid-market pipeline, and only Workday can decide which. What the numbers rule out is the comfortable assumption that a large enough brand is automatically in the conversation. It is not, and the mid-market buyers it might want next are the ones asking the questions it is absent from.
Finding 3: Europe's champion is invisible to the machines
Personio serves thousands of European mid-size companies. In the machines' answers it registers 1 percent from memory, covers three situations of eight, and search lifts it only to 2 percent, which means there is no content operation compensating for the memory gap either. Every day, European companies ask assistants about HR software in English and get an American and global-remote shortlist. Whether the same holds in German is a question this report deliberately leaves open; measuring it is a two-week exercise, and we suspect the answer is worth more to Personio's board than most of its current dashboard spend.
Finding 4: eight situations, three markets
Situations: ABROAD hiring an employee abroad, PAYROLL payroll across countries, CONTRACT paying international contractors, FIRST HR a first HR system, BEST the best HR platform overall, EOR an employer of record, STARTUP a startup's HR stack, ENTRPRS enterprise HR.
Memory mode. The category splits into three machine-markets that rarely mix: global work belongs to Deel and Remote, domestic and startup questions to Rippling and Gusto, enterprise to Workday alone. A brand's growth plan here is not one battle. It is a choice of which of these situations to enter, and the table shows the incumbent you would be entering against.
Finding 5: the answers are fed by the winners' own websites
When assistants search before answering, they cite sources, and the top of the list is not the HR press: deel.com (87 citations), rippling.com (73), remote.com (52), gusto.com (48). What the leaders publish is being read back to buyers as the answer. For everyone else this is the actionable part: in this category the machines demonstrably read vendor content, so the pages that answer buyers' questions are a seat at the table, and the full citation list, which we hold for every brand in this report, is the target list for earning one.
What we would do about it
A taste of the advisory layer. Each of these is a decision with a number attached, not a tactic from a listicle:
- If you lead here: your risk is not the rival next to you in the table, it is the situations you have not entered. Rippling at 30 percent in enterprise against a lone Workday is the most interesting open flank in the category.
- If you are Workday-shaped, a giant outside the machines' shortlists: first decide whether that is strategy or neglect. If it is neglect, the fix starts with entity work and presence in the specific sources that feed the situations you want, and it is measured in quarters. Anyone promising it in weeks is lying to you.
- If you are Personio-shaped, a regional champion invisible in global answers: measure your home language before assuming it is safe, then build from your stronghold situation outward. Three situations at high strength beat eight at 1 percent.
- If you are anyone else: pick the one situation where you have a real claim and go from present to default there. The table above tells you exactly how crowded each door is.
The paid version of this thinking is specific: your brand's numbers, the false claims AI makes about you, the exact sources to earn, priorities with owners and effort, and which popular tactics to skip because the evidence says they do nothing. That is the audit, and the 30-day program that ships it.
How we measured
ChatGPT, Gemini and Claude, queried through their official developer interfaces in August 2026, in the model tiers most buyers actually use. 1,008 recorded answers across eight buying situations, in two modes: from memory and with web search. The design was frozen and hashed before the first question, and this category is the most stable we have measured (split-half r = 0.99); differences under 15 points per situation are noise and we treat them as such. Definitions, limits and the pre-registration protocol: methodology v0.2. The brands measured did not participate in, commission, or endorse this report, and we never sell placement in AI answers. Commissioned audits never change published scores.