How AI Search Is Recommending Job Posting Sites: Monthly Trends

Executive Summary

LinkedIn leads AI recommendation coverage for job posting sites in October 2026 at 94.3% valid recommendation coverage, a 9.2-point gain from 85.1% in July 2026. Indeed narrowed the gap to 0.8 points, reaching 93.5% coverage, up 10.3 points from 83.2% in July. The top tier separated further from the trailing brands across the series.

Indeed posted the largest baseline-to-current coverage gain among the leaders, up 10.3 points, and extended its top-three recommendation rate by 19.0 points to 74.0%, with its rank-one rate reaching 36.6%. LinkedIn's rank-one rate climbed 9.6 points to 39.7%. Both leaders recorded their third consecutive monthly coverage gain.

The sharpest decliner across the series was Monster, down 10.0 points from 28.2% in July to 18.2% in October, a significant drop compounded by a net sentiment score that fell from 0.8 to 0.5. Dice also declined significantly, down 7.0 points to 56.7%, though it recovered 4.8 points from September to October. SimplyHired, Snagajob, and Wellfound each posted significant series declines.

The category posted a mixed month: four brands gained significantly across the series and five declined significantly. CareerBuilder was the only brand classified as stable. The competitive spread widened between the leaders and the trailing brands, with Indeed's coverage gap over Monster expanding by 20.3 points and every month in the series widening that gap.

Each monthly run begins with 800 prompt-surface observations (523 unique questions in October 2026) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 641 were relevant and 159 were irrelevant. The public metrics use the 527 observations that survive both qualification stages. In July 2026, the funnel began with 800 prompt-surface observations (632 unique questions); 800 mentioned a tracked brand or competitor, 418 were relevant and 382 irrelevant, and the public metrics used 309 qualified observations.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which job posting sites had factually conflicting information flagged across AI platforms?
• What kind of ownership and operating-status conflicts did AI platforms surface about CareerBuilder?
• Where did platforms disagree on pricing and free posting availability for LinkedIn and ZipRecruiter?

The benchmark detected 7 critical or high-severity factual inconsistencies across 4 AI platforms (Copilot, Gemini, Google AI Mode, and Google AI Overviews).

CareerBuilder

AI platforms provided conflicting information about whether CareerBuilder is still operating normally, a critical severity conflict. When asked "What kind of company is CareerBuilder?", Google AI Mode stated the company "remains a major infrastructure provider in the digital recruitment space, with no mention of bankruptcy," while Copilot stated CareerBuilder "filed for Chapter 11 bankruptcy in 2025 and its job board business was sold to BOLD Holdings." Google AI Mode cited the company's Wikipedia page, a RecruitMilitary organization profile, and a Crunchbase company profile. Copilot cited Wikipedia, Grokipedia, and a SuperAGI company research page. A flagged Wikipedia excerpt supported the bankruptcy claim, stating "The company is owned by BOLD Holdings."

A second conflict concerned CareerBuilder's current ownership, a high severity factual inconsistency. When asked "What kind of company is CareerBuilder?", Google AI Mode stated the company is "privately held, majority-owned by private equity firms/funds including affiliates of Apollo Global Management," while Copilot stated it is "owned by BOLD Holdings (acquired in 2025 after bankruptcy)." Google AI Mode cited Wikipedia, RecruitMilitary, and Crunchbase. Copilot cited Wikipedia, Grokipedia, and SuperAGI. Flagged sources included a Grokipedia excerpt stating the job board business was "sold to BOLD Holdings—a career technology company founded by former Monster executives—for $28.4 million," and a SuperAGI page referencing both BOLD Holdings ownership and Apollo Global Management backing.

LinkedIn

Responses differed on free job posting availability, a high severity conflict. When asked "What's the best site to post a job for employers?", Gemini stated "you can only post one free listing at a time," while Copilot stated that posts "are pay-to-play, with costs starting around $99 per job ad." Gemini cited Pin, Money, and Noon AI. Copilot cited Money, ZipRecruiter, and Best Job Search Apps.

A second conflict concerned posting price, a high severity pricing inconsistency. When asked "Which platform is best for job posting?", Gemini stated "1 free standard post (14-day limit); Promoted posts from $7–$10/day," while Copilot stated "$99+/post; premium $5+." Gemini cited Pin and Money. Copilot cited Best Job Search Apps and Money.

ZipRecruiter

AI platforms provided conflicting information about ZipRecruiter's pricing model, a high severity conflict. When asked "Which platform is best for job posting?", Gemini stated the platform uses "monthly subscription plans (typically starts around $299/mo)," while Copilot stated "~$16/day." Gemini cited Pin and Money. Copilot cited Best Job Search Apps and Money. A flagged source on the Best Job Search Apps page supported the monthly subscription claim, noting "Third-party reviews report paid plans starting near $299 per month."

A second conflict again concerned ZipRecruiter's pricing model, a high severity inconsistency. When asked "Which job board is best for employers?", Gemini stated "subscription-based model (typically starting around $299/month)," while Copilot stated "$16–$30/day." Gemini cited Money, Business.com, and Pin. Copilot cited Best Job Search Apps and ZipRecruiter's own blog. Flagged sources included the Best Job Search Apps page supporting the subscription claim and a Noon AI page noting LinkedIn's sponsored posting rate of "$7–$30+/day sponsored; ~$200–$500/mo per Job Slot."

Glassdoor

AI platforms provided conflicting information about the Dollar General cashier average hourly pay figure attributed to Glassdoor, a high severity conflict. When asked "How much do Dollar General cashiers make per hour?", Google AI Mode stated "Glassdoor reports a national average estimate of approximately $19 per hour," while Google AI Overviews stated "Glassdoor tracks self-reported baseline figures leaning closer to $14.00 per hour." Google AI Mode cited Indeed, ZipRecruiter, and Glassdoor. Google AI Overviews cited Payscale, ZipRecruiter, and Tallo.

Benchmark Context

Questions This Section Answers

• How did the qualified observation pool change between July and October 2026?
• Why did the qualified denominator expand, and how does that affect brand-level percentages?

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

The following benchmark-level metrics summarize how the qualified pool behaved across the series.

Benchmark-Level Metrics

September 2026, the intermediate month, saw 524 qualified observations with a valid recommendation shortlist share of 90.6%. August 2026 saw 466 qualified observations with a valid recommendation shortlist share of 86.9%. The rising qualification rate across the series — from 82.5% to 95.1% — reflects a growing share of prompts relevant to the job posting category, which expanded the base for every brand-level percentage.

AI Recommendation Trend

Questions This Section Answers

• Which job posting sites gained or declined significantly in valid recommendation coverage?
• How far did the top four brands separate from the trailing brands across the series?

AI Systems Favor LinkedIn and Indeed, but Inconsistently Describe Both on Price and Availability

Four brands posted movements exceeding normal month-to-month variation across the series: Glassdoor, Indeed, LinkedIn, and ZipRecruiter rose significantly, while Dice, Monster, SimplyHired, Snagajob, and Wellfound declined significantly. CareerBuilder moved within expected ranges. The category-level change came from the top four all gaining while the lower tier lost ground.

What Changed This Month

Questions This Section Answers

• What drove LinkedIn's leadership extension, and did the gains come from presence or placement?
• How did Indeed close the gap to LinkedIn, and on which placement metrics did it gain most?
• What separates the rising brands from the declining brands in the lower tier?

LinkedIn: Extending Leadership at the Top

LinkedIn rose 9.2 points in valid recommendation coverage from 85.1% in July 2026 to 94.3% in October 2026, a significant gain. Its gain was steady rather than concentrated, rising 4.0 points from July to August, 2.9 points from August to September, and 2.3 points from September to October. Its top-three recommendation rate rose 14.4 points from 59.2% to 73.6%, and its rank-one rate climbed 9.6 points from 30.1% to 39.7%, both significant gains across the series.

LinkedIn appeared in all 527 total observations in October 2026 with 497 valid recommendations. Its rank-one count rose from 93 in July to 209 in October, meaning LinkedIn was the top recommendation in nearly two of every five qualified observations.

The distinction to notice: LinkedIn's presence was already near-universal at 99.0% in July; the October gains came from placement, not presence. However, the LinkedIn inconsistency alerts show AI platforms disagree on whether LinkedIn offers a free job posting option and at what price, suggesting the platform's core value proposition may be described differently depending on the surface.

Highest-priority diagnostic: Which prompt types drive the rank-one gains, and does LinkedIn win them on its own attributes or because competitors are not surfaced?

Indeed: Strongest Riser Closing on the Leader

Indeed rose 10.3 points in valid recommendation coverage from 83.2% in July 2026 to 93.5% in October 2026, a significant gain that narrowed the gap to LinkedIn from 1.9 points to 0.8 points. Its top-three rate rose 19.0 points from 55.0% to 74.0%, and its rank-one rate rose 3.6 points to 36.6%.

Indeed appeared in 526 of 527 total observations in October 2026 with 493 valid recommendations. Its top-three count rose from 170 in July to 390 in October, while its rank-one count moved from 102 to 193.

The distinction to notice: Indeed gained top-three placements substantially and its rank-one rate rose, though LinkedIn's rank-one rate remains higher. Indeed is increasingly a top-three choice and is winning the first recommendation slot more often than in July.

Highest-priority diagnostic: Which prompts drive Indeed's top-three gains, and on which surfaces does LinkedIn still win the rank-one slot?

ZipRecruiter: Steady Third-Place Climb

ZipRecruiter rose 7.0 points in valid recommendation coverage from 79.3% in July 2026 to 86.3% in October 2026, a significant series gain. Its top-three rate rose 12.2 points from 26.9% to 39.1%. Its rank-one rate edged from 0.7% to 1.7%.

ZipRecruiter appeared in 482 of 527 total observations in October 2026 with 455 valid recommendations. Its top-three count rose from 83 in July to 206 in October, and its rank-one count moved from 2 to 9.

The distinction to notice: ZipRecruiter's gain was consistent across the series after an August dip, not a single-month event. It remains behind LinkedIn and Indeed on rank-one rate at 1.7%, winning its ground through top-three placements rather than the first recommendation. The ZipRecruiter inconsistency alerts show AI platforms disagree on whether the platform uses a monthly subscription or a daily rate, a pricing description gap that may affect how employers evaluate it.

Highest-priority diagnostic: What prompts drive ZipRecruiter's top-three gains, and how do the conflicting pricing descriptions across surfaces affect employer evaluation?

Glassdoor: Significant Riser Without Rank-One Wins

Glassdoor rose 9.7 points in valid recommendation coverage from 67.0% in July 2026 to 76.7% in October 2026, a significant gain. Its raw mention presence rose 9.0 points from 75.4% to 84.4%, and its top-three rate climbed 18.7 points from 12.0% to 30.7%, both significant gains.

Glassdoor appeared in 445 of 527 total observations in October 2026 with 404 valid recommendations. Its top-three count rose from 37 in July to 162 in October, and it recorded 1 rank-one recommendation in October after zero in August and September.

The distinction to notice: Glassdoor is now within 9.6 points of third-place ZipRecruiter, and it converted a single rank-one recommendation in October after two months without one. Its growth is concentrated in being a consistently recommended top-three option, not in being the first choice. The Glassdoor inconsistency alert concerns a salary figure attributed to Glassdoor for Dollar General cashiers, which may affect how AI systems describe Glassdoor's data credibility.

Highest-priority diagnostic: Which prompts drive Glassdoor's top-three gains, and what would need to shift for it to convert those into rank-one wins?

Dice: Significant Decliner with Recovering Placement

Dice fell 7.0 points in valid recommendation coverage from 63.7% in July 2026 to 56.7% in October 2026, a significant decline. However, its coverage rose 4.8 points from 51.9% in September to 56.7% in October, a recovery from its lowest point. Its raw mention presence dropped 4.6 points from 66.3% to 61.7%, and its top-three rate fell 1.5 points to 0.8%. Its rank-one rate fell from 1.6% to 0.0%, a significant decline.

Dice appeared in 325 of 527 total observations in October 2026 with 299 valid recommendations. Its top-three count fell from 7 in July to 4 in October, and its rank-one count went from 5 to 0.

The distinction to notice: Dice retains a solid presence at 61.7% and recovered coverage in October, but its placement in top-three positions and rank-one slots has weakened. The separation between being visible and being recommended prominently remains the defining pattern.

Highest-priority diagnostic: Which competitor is capturing the top-three recommendations Dice lost, and on which prompt types has Dice's placement collapsed?

Monster: Steepest Decliner with Sentiment Erosion

Monster fell 10.0 points in valid recommendation coverage from 28.2% in July 2026 to 18.2% in October 2026, a significant decline. Its net sentiment score fell from 0.8 to 0.5, the sharpest sentiment drop among tracked brands, and it recorded 18 negative mentions in October after none in July.

Monster appeared in 145 of 527 total observations in October 2026 with 96 valid recommendations. Its presence rate fell from 33.3% to 27.5%, and it recorded 3 top-three recommendations in October, compared with none in July.

The distinction to notice: Monster's decline combines shrinking presence with deteriorating sentiment. It remains visible in about a quarter of all observations but is recommended as a valid option in just 18.2% of all observations, a wide gap between being mentioned and being recommended.

Highest-priority diagnostic: Which surfaces account for Monster's presence loss, and what is driving the rise in negative sentiment across its mentions?

SimplyHired, Snagajob, and Wellfound: Lower-Tier Declines

SimplyHired fell 6.6 points in valid recommendation coverage from 16.8% in July 2026 to 10.2% in October 2026, a significant decline. Its raw mention presence dropped 5.7 points from 18.4% to 12.7%. It appeared in 67 of 527 total observations in October 2026 with 54 valid recommendations.

Snagajob fell 7.8 points from 39.5% in July to 31.7% in October, a significant decline. Its raw mention presence dropped 6.7 points from 40.1% to 33.4%. It appeared in 176 of 527 total observations in October 2026 with 167 valid recommendations.

Wellfound fell 9.2 points from 55.3% in July to 46.1% in October, a significant decline. Its raw mention presence dropped 10.4 points from 58.6% to 48.2%, a significant decline. It appeared in 254 of 527 total observations in October 2026 with 243 valid recommendations.

The distinction to notice: All three brands lost both coverage and presence across the series. SimplyHired has the smallest absolute base, with 54 valid recommendations in October 2026, so its percentage movements represent a small number of prompts.

Highest-priority diagnostic: Which niche prompt types continue to surface each brand, and which competitor is capturing the recommendations they lose?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters did the qualified benchmark actually capture?
• What can the benchmark not yet answer about pricing and head-to-head comparisons?

All 527 qualified observations in October 2026 fell into the Brand Recommendation cluster. The analysis found no qualified observations in the Pricing & Value or Multi-Brand Comparison clusters, meaning the public benchmark cannot yet answer questions about price positioning, value perception, or head-to-head comparison outcomes for job posting sites. However, the AI response inconsistency alerts show that when AI platforms do address pricing, they provide conflicting figures for LinkedIn and ZipRecruiter, suggesting the pricing question is answered inconsistently across surfaces even outside the qualified benchmark.

Brand Opportunity Summary

Questions This Section Answers

• Which brand carries the highest-priority diagnostic in each tier, and what is the signal behind it?
• What is the key opportunity or risk signal for the leading and declining job posting sites?

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: Brands like SimplyHired and CareerBuilder have small absolute observation counts. CareerBuilder received 78 valid recommendations from 527 observations in October 2026, and SimplyHired received 54, so their percentage movements represent a small number of prompts and should be read with that base in mind.
• Qualified denominator: All brand-level percentages use the qualified benchmark set (309 observations in July 2026, 527 in October 2026), not the raw 800-prompt collection universe.
• Directional analysis: Month-over-month movement identifies changes worth investigating. It does not by itself establish the cause of those changes; the benchmark records output distribution, not the reasons behind it.

Next Step

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

Beneath the aggregate percentages sit specific questions: Which high-intent prompts does a brand win, and which does it lose? When a brand is not recommended, which competitor takes the recommendation? What attributes do AI systems associate with each option, and which external sources shape those answers?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. The public benchmark shows the score; an audit reveals the drivers behind it.

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