Job Posting Sites: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which job posting site led the October 2026 benchmark, and by how much?
• How many job posting brands moved beyond normal variation this month, and in which directions?
• What happened to the recommendation-shaped answer share and shortlist share since July 2026?

LinkedIn led the Job Posting Sites benchmark in October 2026 with valid recommendation coverage of 94.3%, up from 85.1% in July 2026. The gap to the next brand was 0.8 points over Indeed, which reached 93.5% in October 2026, up from 83.2% in July 2026.

The largest coverage increase since baseline came from Indeed, a significant riser that reached 93.5% in October 2026, up from 83.2% in July 2026, a 10.3-point gain beyond normal variation. The largest coverage decline was Monster, a significant decliner that fell to 18.2% in October 2026, down from 28.2% in July 2026, a 10.0-point decline beyond normal variation.

This was a mixed month, with movement beyond normal variation in both directions. Four brands rose beyond normal variation since baseline and five declined. The two leading brands kept climbing: LinkedIn and Indeed each rose for a third consecutive month.

The benchmark began with 800 prompt-surface observations in each month and produced 527 qualified observations in October 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts distinct canonical AI surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

Recommendation-shaped answers and valid recommendation shortlists both expanded sharply, while leadership held.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Job Posting Sites

Research Scope and Qualification

Questions This Section Answers

• How did 800 prompt-surface observations become 527 qualified benchmark observations?
• Why is the public benchmark denominator narrower than the raw collection universe?

The public benchmark is narrower than the raw collection universe by design. The funnel below shows how raw prompt-surface observations become the qualified benchmark denominator.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Visibility Market Discovery Methodology

Current Brand Standings

Questions This Section Answers

• Which job posting sites lead on valid recommendation coverage versus top-three and rank-one rates?
• How do presence rate, valid recommendation coverage, and top-three rate differ as measures of AI visibility?

This table is the primary current-month benchmark view.

LinkedIn and Indeed sit in a tier of their own; the gap to the rest of the field is far wider than the gap between the top two.

How to Read the Standings

• Presence rate: share of qualified observations where the brand is mentioned at all.
• Valid recommendation coverage: share of qualified observations where the brand appears in a valid recommendation shortlist.
• Top-three rate: share of qualified observations where the brand appears among the top three recommended options.
• Rank-one rate: share of qualified observations where the brand is the first recommended option.
• Net sentiment: positive minus negative mentions, divided by total mentions, on a scale from -1 to 1.

For formulas and denominator rules, see AI Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Questions This Section Answers

• Which job posting brands gained the most recommendation coverage since the July 2026 baseline?
• What separated Indeed's coverage gains from LinkedIn's, and how did their placement rates compare?
• Which brands declined beyond normal variation, and what happened to Monster's sentiment?

Largest Increase: Indeed

Indeed reached 93.5% valid recommendation coverage in October 2026, up from 83.2% in July 2026, a 10.3-point gain beyond normal variation, rising in each of the three months since baseline. Its top-three rate climbed to 74.0% from 55.0%, and its rank-one rate rose to 36.6% from 33.0%. Presence climbed to 99.8% from 97.1%.

ZipRecruiter, LinkedIn, and Glassdoor also moved beyond normal variation. ZipRecruiter rose to 86.3% in October 2026 from 79.3% in July 2026, up 7.0 points and up in two consecutive months. LinkedIn rose to 94.3% from 85.1%, up 9.2 points and up in each of the three months since baseline. Glassdoor rose to 76.7% from 67.0%, up 9.7 points, though it dipped from 79.6% in September 2026.

Largest Decline: Monster

Monster fell to 18.2% valid recommendation coverage in October 2026, down from 28.2% in July 2026, a 10.0-point decline beyond normal variation. Presence slipped to 27.5% from 33.3% in July 2026. Net sentiment fell to 0.54 from 0.84, the lowest among tracked brands.

Wellfound, Snagajob, Dice, and SimplyHired also declined beyond normal variation since baseline. Wellfound fell to 46.1% in October 2026 from 55.3% in July 2026, down 9.2 points. Snagajob fell to 31.7% from 39.5%, down 7.8 points, a decline that also moved beyond normal variation from September 2026. Dice fell to 56.7% from 63.7%, down 7.0 points. SimplyHired fell to 10.2% from 16.8%, down 6.6 points.

Category Leader: LinkedIn

LinkedIn led the benchmark with 94.3% valid recommendation coverage in October 2026, compared with 85.1% in July 2026, rising in each of the three months since baseline. Its rank-one rate was 39.7% in October 2026, compared with 30.1% in July 2026, and its top-three rate was 73.6% compared with 59.2%. Presence reached 100.0% in October 2026.

Indeed closed the leader's margin for the second consecutive month, with 93.5% coverage in October 2026 against 83.2% in July 2026. Indeed's top-three rate of 74.0% was the highest among tracked brands, ahead of LinkedIn's 73.6%, while its rank-one rate of 36.6% trailed LinkedIn's 39.7%.

Recommendation Placement Snapshot

Questions This Section Answers

• How can Indeed and LinkedIn sit within 0.8 points of coverage yet differ in first-position recommendations?
• Why does ZipRecruiter's top-three rate fall well below its coverage level?

Coverage alone does not show how prominently a brand is recommended. The top cluster shows closely matched coverage levels with different placement profiles.

Similar coverage can still hide different first-position rates: Indeed and LinkedIn sat within 0.8 points of coverage in October 2026, yet LinkedIn held a 3.1-point edge in first-position recommendations, while ZipRecruiter's top-three rate was roughly half theirs despite coverage above 86%.

Buyer-Intent Distribution

All 527 qualified observations in October 2026 and all 309 qualified observations in July 2026 fell into the Brand Recommendation class.

The current public series measures brand-recommendation discovery and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

Questions This Section Answers

• Has LinkedIn led every monthly measurement since the July 2026 baseline?
• Which brand has recorded the largest coverage movement in each measurement period?

This is an evergreen benchmark URL. New measurements are added to the same report.

LinkedIn has led every monthly measurement since baseline, and Monster has recorded the largest coverage movement in each of the last three periods.

Evidence and Source Layer

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure:

• Market share or revenue attribution
• Attributable sales or conversions
• Every possible AI response or surface variation
• Organic-search ranking
• Social mention volume
• Private or sponsored channels
• Causality from a metric movement alone

Top 10 Cited Domains

Questions This Section Answers

• Which domains were cited most often across AI platform responses, and how concentrated were those citations?
• Which job posting brands' own domains appeared in the top 10, and which platforms cited them?
• What mix of source types supports AI recommendations in this category?

Across all AI platform responses in this measurement period, 6,113 citations were observed across 860 unique domains.

Citations are broadly distributed: the top 10 domains account for roughly half of all citations, and the highest single share is under 10 percent. Three tracked brands' own domains appear in the top 10, with indeed.com, ziprecruiter.com, and glassdoor.com cited most often, and linkedin.com also present. The mix is led by job-marketplace and brand domains, alongside review and comparison sites and general consumer-finance and community sources such as reddit.com, money.com, and youtube.com.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index is a neutral, industry-level benchmark tracking how AI and search surfaces recommend and describe brands across canonical surfaces. The index is rebuilt monthly from the same evergreen prompts so each measurement is directly comparable to the last.

• AI Visibility Market Discovery Methodology
• AI Visibility Market Discovery Metric Definitions
• AI Visibility Market Discovery Research Standards
• Modeled AI Visibility Authority Value

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The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.

The public percentage cannot identify the prompts, competitors, or sources causing the result.

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