We Researched 25 Workforce Management Brands on AI Visibility. 32% Were Completely Invisible.

Quick Overview

• 68% of the 25 brands tested (17 brands) had at least one AI mention; 32% (8 brands) scored zero across all five engines and all five queries.
• The top 5 brands captured 66% of all 103 mentions logged in the study; the top 10 took 92%.
• Anthropic (Claude) surfaced the widest set of brands, reaching 56% of the cohort. OpenAI and Google AI Overview each reached only 28%.
• Gemini and Claude are both gaining market share per SimilarWeb's tracked AI traffic share and are more open to surfacing newer brands than OpenAI or AI Overview. Similarweb Gen AI Stats, 2026
• Query topic shapes visibility as much as brand strength. The time-tracking query surfaced only 5 brands; the brand-discovery query surfaced 12.
• Roughly half of all framing-tagged mentions are neutral list inclusions. The commercially valuable 'leader' framing is concentrated among 5 to 6 dominant brands.
• A Tier-4 brand is not low-visibility. It is absent. No engine, no query, no path to a buyer who uses AI to research software.

The Headline Finding

In this study, 68% of tracked workforce management brands earned at least one AI mention, but 32% were completely invisible across every engine and every query tested.

The study queried five AI engines (OpenAI, Gemini, Perplexity, Anthropic, and Google AI Overview) with five workforce management queries on 19 June 2026, generating 625 total observation slots across 25 brands. A total of 103 mentions were logged across two independent runs.

That raw number understates how concentrated the distribution is. The 103 mentions were not spread evenly: a small cluster absorbed almost all of them. The leading brand alone captured 21 out of 103 mentions, a 20% share of total AI visibility from a single company. The top 3 brands combined took 48%. For any brand outside the top 10, the expected return from AI search in this category is, at present, effectively zero.

Understanding why this happens is the core problem that generative engine optimization addresses. The brands that get cited are not always the largest or best-funded. They are the ones the engines treat as authoritative sources: a position built on structured content, consistent entity signals, and third-party recognition rather than advertising spend.

How Visibility Is Distributed: Four Tiers

Sorting the 25 brands by total mention count reveals four distinct tiers, each with a qualitatively different AI search position.

The leading brand was mentioned 21 times out of a possible 25, an 84% saturation rate across the study. The median company in the cohort sits at just 1 mention. That gap is not explained by product quality or funding history. It is explained by how the engines were trained to perceive those brands as category authorities.

Engine-by-Engine: Reach and Generosity

The five engines differ significantly in both how many distinct brands they surface and how many they cite per query. These differences are not cosmetic: a brand visible on Perplexity but absent from OpenAI will be invisible to a large share of the AI-search audience.

Anthropic and Perplexity are the most open engines in this study. Anthropic surfaced 14 distinct brands, including several smaller players no other engine mentioned. Perplexity delivered the highest total mention count (30) and cited an average of 6 brands per query.

OpenAI and AI Overview tell a different story. Each surfaced only 7 brands across all queries and concentrated the bulk of those mentions on the same dominant-tier names. A brand trying to break into AI search today faces a materially harder path through OpenAI than through Anthropic or Perplexity.

The AI Traffic Landscape Is Shifting

Engine-level strategy is not just about who is open now. It is about where traffic is heading. SimilarWeb's tracked AI traffic share shows a material redistribution over the past 12 months. Similarweb Gen AI Stats, 2026

Gemini and Claude Are Growing and More Open

ChatGPT's share of tracked AI traffic has dropped from 76.4% to 52.7% over 12 months. Gemini has grown from 8.9% to 27.3%. Claude has climbed from 1.6% to 8.9% over the same period.

Now pair that trajectory with the openness data from this study: Gemini reached 36% of the cohort while OpenAI reached only 28%. Claude (Anthropic) reached 56%. The two engines growing fastest are also, in this study, more willing to surface a broader range of brands.

The strategic conclusion is direct. Optimizing for AI search by focusing only on ChatGPT means optimizing for a platform that is losing traffic share, is the most consolidated around a handful of dominant brands, and surfaces the narrowest competitive field. A brand that builds GEO visibility on Gemini and Claude today is building a position in channels where competition is less entrenched and traffic share is growing.

Query-Level Visibility: Not All Questions Are Equal

The five queries tested different purchase-intent angles within workforce management. They produced very different results.

The time-tracking query surfaced only 5 of 25 brands, with just 9 total mentions, and the engines frequently named brands outside the tracked cohort entirely. A brand that covers 'staff scheduling' and 'time tracking' on the same product page will not earn the citation density of a dedicated, answer-first page for each theme. AI engines treat these as semantically distinct categories, and the content that earns citations needs to match each query's register precisely.

Even the broadest query, brand discovery, left more than half the cohort uncovered. There is a hard ceiling to how many brands any single query will surface, regardless of how the content is structured.

The Concentration Curve

One way to measure how extreme the top-brand advantage is: look at cumulative mention share.

The top 5 brands, 20% of the cohort, account for two-thirds of all AI visibility. This is a steeper concentration curve than typical organic search results in the same category, where even page-two results pick up some impressions. AI search visibility works differently from SEO rank: in AI-generated answers, being outside the top tier often means being entirely absent rather than merely lower-ranked.

Strikingly, the same 6 brands that lead on total mention count are also the 6 brands present in every single engine. Visibility breadth and visibility depth move together. There is no example in this dataset of a brand with high mention volume but uneven engine coverage.

What This Means for Workforce Management Vendors

Five concrete moves emerge from the study data.

1. Run a prompt audit now. Query all five engines with the query themes above for your brand name and your category. Record which engines mention you, what framing you receive (leader, alternative, or neutral list inclusion), and which query themes are gaps. This baseline takes one afternoon and costs nothing.
2. Prioritize Anthropic and Perplexity as entry points. Both engines surface a wider range of brands and are structurally more accessible to challengers than OpenAI or AI Overview. Build your initial content strategy around what these engines reward.
3. Treat each query theme as its own content brief. 'Staff scheduling tools,' 'workforce planning tools,' and 'time tracking systems' are separate categories to AI engines. A single product page mentioning all three will not earn the citation density of a dedicated, answer-first page for each.
4. Build third-party presence. Zero mentions in this study were traced to a brand's own website as the cited source. The engines cite third-party comparison content and review sites. Getting reviewed on G2, Capterra, and industry publications is the structural work that earns AI citations.
5. Monitor Gemini and Claude share over time. SimilarWeb's tracked AI traffic share (June 2026) shows both engines growing rapidly. A strategy that builds visibility on these two platforms now will compound as their share grows.

Want to Know Where Your Brand Stands?

The fastest way to find out is a free AI visibility check. We run your brand through ChatGPT, Perplexity, Gemini, Google AI Overview and Claude on the questions your buyers actually ask, then send you a personally-prepared report within 48 hours showing where you appear, which competitors win in your place, and the biggest gaps worth closing.

No card, no commitment, no sales call. Just your data, prepared by Harinda, free.

If the gaps are worth closing, a Proof of Concept (60 days, from $1,500) maps the highest-leverage changes and delivers before/after measurement with no ongoing retainer. The commercial model is a below-market base fee paired with a performance incentive tied to the KPIs agreed upfront: Citanta earns more only when the client does.

Methodology

This study queried five AI engines with five workforce management queries on 19 June 2026. The five engines were OpenAI (ChatGPT), Gemini, Perplexity, Anthropic (Claude), and Google AI Overview. The five query themes were: general brand discovery, best staff scheduling tools, workforce planning tools, time tracking systems, and staffing and WFM platforms.

The cohort of 25 workforce management brands was researcher-defined and is not exhaustive of the category. Brands referenced by the engines but outside the tracked cohort were not scored. Each engine received identical queries without persona, location, or prior-context conditioning.

Two independent runs were executed on the same day. Engine outputs are non-deterministic, so individual mention counts may vary between runs, but the tier structure (dominant, strong, marginal, invisible) was stable across both runs.

A 'mention' is defined as the brand name appearing in the engine's response. It does not require the brand to be linked or recommended favourably. Position and framing (leader, alternative, or neutral mention) were tagged for the four LLM-based engines only. AI Overview mentions were verified manually and contribute to total mention counts but are excluded from framing breakdowns, which cover the 91 mentions from the four LLM engines.

The 625 total observation slots are derived from 25 brands x 5 queries x 5 engines. The maximum possible mentions for any single brand is 25.

Frequently asked questions