Job Posting Sites: AI Market Discovery Index
Tracking how AI platforms recommend job posting sites. This public AI Market Discovery Index is updated monthly since July 2026.
On this page
- 01Benchmark Summary
- 02Current Benchmark at a Glance
- 03Research Scope and Qualification
- 04Current Brand Standings
- 05How to Read the Standings
- 06Recommendation Coverage Movement
- 07Largest Increase: Glassdoor
- 08Largest Decline: Monster
- 09Category Leader: LinkedIn
- 10Recommendation Placement Snapshot
- 11Buyer-Intent Distribution
- 12Historical Measurement Record
Benchmark Summary
LinkedIn led the Job Posting Sites benchmark in September 2026 with valid recommendation coverage of 92.0%, up from 85.1% in July 2026. The gap to the next brand was 1.0 point over Indeed, which reached 91.0% in September 2026, up from 83.2% in July 2026.
The largest coverage increase came from Glassdoor, a significant riser that reached 79.6% in September 2026, up from 67.0% in July 2026, a 12.6-point gain beyond normal variation. The largest coverage decline was Monster, a significant decliner that fell to 16.0% in September 2026, down from 28.2% in July 2026, a 12.2-point decline.
Two more brands posted gains beyond normal variation: ZipRecruiter rose to 84.9% in September 2026, up from 79.3% in July 2026 (up 5.6 points), and Indeed rose to 91.0%, up from 83.2% (up 7.8 points). LinkedIn also rose beyond normal variation to 92.0%, up from 85.1% (up 6.9 points). Dice declined beyond normal variation, falling to 51.9% in September 2026, down from 63.7% in July 2026 (down 11.8 points).
The remaining tracked brands — CareerBuilder, SimplyHired, Snagajob, and Wellfound — held stable positions within normal month-to-month variation.
The benchmark began with 800 prompt-surface observations in each month and produced 309 qualified observations in July 2026, 466 in August 2026, and 524 in September 2026 after qualification.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Sep 2026
- LinkedIn92.0%
- Indeed91.0%
- ZipRecruiter84.9%
- Glassdoor79.6%
- Wellfound53.2%
- Dice51.9%
- Snagajob38.0%
- Monster16.0%
- SimplyHired11.8%
- CareerBuilder11.6%
Current Benchmark at a Glance
Measure | July 2026 | September 2026 | Movement |
|---|---|---|---|
Qualified benchmark observations | 309 | 524 | Up 215 |
Tracked brands | 10 | 10 | No change |
Qualified surface breadth | 6 | 6 | No change |
Recommendation-shaped answer share | 42.4% | 52.9% | Up 10.5 points |
Valid recommendation shortlist share | 82.5% | 90.6% | Up 8.1 points |
Leader by valid recommendation coverage | LinkedIn (85.1%) | LinkedIn (92.0%) | No change |
Qualified surface breadth counts distinct canonical AI surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
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
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.
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Research stage | July 2026 | September 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations | 800 | 800 | Total prompts collected across AI/search surfaces |
Unique questions | 632 | 538 | Distinct questions after de-duplication |
Brand / competitor mentions | 800 | 800 | Prompts mentioning at least one tracked brand |
Relevant observations | 418 | 639 | On-topic brand-level interactions |
Irrelevant observations | 382 | 161 | Off-topic or non-qualifying interactions |
Qualified benchmark observations | 309 | 524 | Public denominator for brand-level percentages |
Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Market Discovery Methodology
Current Brand Standings
This table is the primary current-month benchmark view.
Brand | Presence rate | Valid recommendation coverage | Top-three rate | Rank-one rate | Net sentiment |
|---|---|---|---|---|---|
99.8% | 92.0% | 70.0% | 43.1% | 0.94 | |
Indeed | 99.6% | 91.0% | 64.5% | 28.2% | 0.94 |
ZipRecruiter | 92.8% | 84.9% | 37.2% | 0.9% | 0.93 |
Glassdoor | 88.0% | 79.6% | 22.7% | 0.0% | 0.92 |
Wellfound | 55.9% | 53.2% | 2.1% | 0.2% | 0.97 |
Dice | 57.4% | 51.9% | 0.0% | 0.0% | 0.90 |
Snagajob | 39.5% | 38.0% | 0.6% | 0.0% | 0.96 |
Monster | 27.1% | 16.0% | 0.2% | 0.0% | 0.52 |
SimplyHired | 14.7% | 11.8% | 0.4% | 0.0% | 0.81 |
CareerBuilder | 18.3% | 11.6% | 0.0% | 0.0% | 0.64 |
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 Market Discovery Metric Definitions.
Recommendation Coverage Movement
Brand | July 2026 | September 2026 | Movement since baseline |
|---|---|---|---|
85.1% | 92.0% | Up 6.9 points | |
Indeed | 83.2% | 91.0% | Up 7.8 points |
ZipRecruiter | 79.3% | 84.9% | Up 5.6 points |
Glassdoor | 67.0% | 79.6% | Up 12.6 points |
Wellfound | 55.3% | 53.2% | Down 2.1 points |
Dice | 63.7% | 51.9% | Down 11.8 points |
Snagajob | 39.5% | 38.0% | Down 1.5 points |
Monster | 28.2% | 16.0% | Down 12.2 points |
SimplyHired | 16.8% | 11.8% | Down 5.0 points |
CareerBuilder | 11.0% | 11.6% | Up 0.6 points |
Glassdoor, Indeed, LinkedIn, and ZipRecruiter rose as significant risers, while Dice and Monster declined beyond normal variation. CareerBuilder, SimplyHired, Snagajob, and Wellfound held stable positions.
Largest Increase: Glassdoor
Glassdoor rose to 79.6% valid recommendation coverage in September 2026, up from 67.0% in July 2026, a 12.6-point gain beyond normal variation, with gains in two consecutive months. Its top-three rate rose to 22.7% in September 2026, up from 12.0% in July 2026 (up 10.7 points), while its rank-one rate held near zero. Presence rose to 88.0% in September 2026, up from 75.4% in July 2026.
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Largest Decline: Monster
Monster fell to 16.0% valid recommendation coverage in September 2026, down from 28.2% in July 2026, a 12.2-point decline beyond normal variation, with declines in two consecutive months. Presence fell to 27.1% in September 2026, down from 33.3% in July 2026. Net sentiment also fell to 0.52 in September 2026, down from 0.84 in July 2026.
Dice also posted a decline beyond normal variation. Dice fell to 51.9% in September 2026, down from 63.7% in July 2026, declining in two consecutive months, with presence dropping to 57.4% from 66.3%. Its top-three rate fell to 0.0% in September 2026, down from 2.3% in July 2026.
Category Leader: LinkedIn
LinkedIn led the benchmark with 92.0% valid recommendation coverage in September 2026, compared with 85.1% in July 2026, rising in two consecutive months. Its rank-one rate was 43.1% in September 2026, compared with 30.1% in July 2026, up 13.0 points, and its top-three rate was 70.0% in September 2026, compared with 59.2% in July 2026.
Indeed also strengthened as a significant riser. Indeed's top-three rate reached 64.5% in September 2026, up from 55.0% in July 2026 (up 9.5 points), while its rank-one rate declined slightly to 28.2% from 33.0%.
ZipRecruiter rose to 84.9% valid recommendation coverage in September 2026, up from 79.3% in July 2026 (up 5.6 points), with its top-three rate at 37.2%, up from 26.9% in July 2026.
Recommendation Placement Snapshot
Coverage alone does not show how prominently a brand is recommended. The top cluster shows similar coverage levels with clearly different placement profiles.
Brand | September 2026 top-three rate | September 2026 rank-one rate | July 2026 top-three rate | July 2026 rank-one rate |
|---|---|---|---|---|
70.0% | 43.1% | 59.2% | 30.1% | |
Indeed | 64.5% | 28.2% | 55.0% | 33.0% |
ZipRecruiter | 37.2% | 0.9% | 26.9% | 0.7% |
Similar coverage can still hide different first-position rates. LinkedIn and Indeed led the top-three rates by wide margins, while ZipRecruiter's top-three rate was far lower despite coverage above 84%.
Buyer-Intent Distribution
All 524 qualified observations in September 2026 and all 309 qualified observations in July 2026 fell into the Brand Recommendation class.
Buyer-intent class | July 2026 | September 2026 |
|---|---|---|
Brand Recommendation | 309 | 524 |
Pricing & Value | 0 | 0 |
Multi-Brand Comparison | 0 | 0 |
Total qualified observations | 309 | 524 |
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
This is an evergreen benchmark URL. New measurements are added to the same report.
Measurement | Qualified observations | Coverage leader | Leader coverage | Largest coverage movement |
|---|---|---|---|---|
July 2026 | 309 | 85.1% | Monster (baseline) | |
August 2026 | 466 | 89.1% | Monster (Down 11.7 points) | |
September 2026 | 524 | 92.0% | Monster (Down 12.2 points) |
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, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone.
About This Benchmark
The LLM Authority Index AI 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 Market Discovery Methodology
- AI Market Discovery Metric Definitions
- AI Market Discovery Research Standards
- Modeled AI Authority Value
Get a Company-Level Authority Index
The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.
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