Online Dating: AI Visibility Market Discovery Index

Tracking how AI platforms recommend online dating. This public AI Visibility Market Discovery Index is updated monthly since August 2026.

Mark Huntley, J.D.
By Mark Huntley, J.D.Growth Strategist & AI Discovery Analyst
7 minutes read

Benchmark Summary

Hinge remained the coverage leader in the Online Dating benchmark in October 2026, with valid recommendation coverage of 82.0%, ahead of Bumble at 78.6% and OkCupid at 70.5%. The gap between Hinge and Bumble stood at 3.4 percentage points.

The largest coverage increase since baseline came from OkCupid, which rose to 70.5% in October 2026 from 61.7% in August 2026, a movement beyond normal month-to-month variation. The largest coverage decline came from Coffee Meets Bagel, which fell to 21.4% in October 2026 from 26.0% in August 2026, also beyond normal variation.

October 2026 was a mixed month. Seven brands held stable positions, two rose significantly, and one declined significantly. Several stable brands posted notable prior-month moves, including Hinge (74.6% in September 2026 to 82.0% in October 2026), Bumble (71.6% to 78.6%), Match (45.5% to 52.0%), and Tinder (63.4% to 69.5%), each beyond normal variation from the prior month.

The benchmark began with 800 prompt-surface observations in each of the three months and produced 702 qualified observations in October 2026 after qualification.

AI recommendation trend

valid recommendation coverage, Aug 2026 to Oct 2026

0%25%50%75%100%Aug 2026Sep 2026Oct 2026
  • Hinge82.0%
  • Bumble78.6%
  • OkCupid70.5%
  • Tinder69.5%
  • Match52.0%
  • eharmony51.6%
  • Grindr35.3%
  • HER32.5%
  • Plenty of Fish28.8%
  • Coffee Meets Bagel21.4%

Current Benchmark at a Glance

Measure

Aug 2026

Oct 2026

Movement

Qualified benchmark observations

716

702

Down 14

Tracked brands

10

10

No change

Qualified surface breadth

6

6

No change

Recommendation-shaped answer share

44.3%

63.5%

Up 19.2 points

Valid recommendation shortlist share

81.8%

89.7%

Up 7.9 points

Leader by valid recommendation coverage

Hinge

Hinge

No change

Qualified surface breadth counts the number of canonical AI surface families with at least one qualified observation across six families: 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 Online Dating

Research Scope and Qualification

Questions This Section Answers

  • How many prompts and observations qualified for the public Online Dating benchmark?
  • Why is the qualified benchmark denominator smaller than the raw collection universe?

The public benchmark is narrower than the raw collection universe by design.

Research stage

Aug 2026

Oct 2026

What it represents

Source prompt-surface observations

800

800

Total prompts issued to AI/search surfaces

Unique questions

520

549

Distinct questions after deduplication

Brand / competitor mentions

800

800

Prompts naming at least one brand or competitor

Relevant observations

794

786

On-topic responses retained for analysis

Irrelevant observations

6

14

Off-topic responses excluded from analysis

Qualified benchmark observations

716

702

Public denominator for brand-level metrics

Want the full Authority Index

The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.

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 dating brands lead the October 2026 recommendation standings?
  • How do presence rate and valid recommendation coverage differ across the tracked brands?

Sorted by valid recommendation coverage in October 2026.

Brand

Presence rate

Valid recommendation coverage

Top-three rate

Rank-one rate

Net sentiment

Hinge

97.6%

82.0%

54.3%

31.3%

0.9

Bumble

97.9%

78.6%

35.9%

1.1%

0.8

OkCupid

81.8%

70.5%

18.9%

3.6%

0.9

Tinder

94.2%

69.5%

37.5%

12.4%

0.7

Match

63.8%

52.0%

16.7%

5.6%

0.8

eharmony

60.4%

51.6%

14.0%

2.7%

0.8

Grindr

43.2%

35.3%

2.3%

1.1%

0.8

HER

37.9%

32.5%

2.4%

1.4%

0.9

Plenty of Fish

40.2%

28.8%

10.4%

5.7%

0.7

Coffee Meets Bagel

25.6%

21.4%

1.1%

0.0%

0.9

How to Read the Standings

  • Presence rate: the share of qualified observations in which the brand is mentioned at all.
  • Valid recommendation coverage: the share of qualified observations in which the brand appears in a valid recommendation shortlist.
  • Top-three rate: the share of qualified observations in which the brand appears among the top three recommended options.
  • Rank-one rate: the share of qualified observations in which the brand is the first-named recommendation.
  • Net sentiment: positive minus negative mention tone, scaled to a 0 to 1 range.

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

Recommendation Coverage Movement

Questions This Section Answers

  • Which dating brands posted the largest coverage gains since the August 2026 baseline?
  • Which brand saw the largest drop in recommendation coverage, and how large was it?
  • Did Hinge's move to 82.0% represent a meaningful shift or normal variation?

Brand

Aug 2026

Oct 2026

Movement since baseline

Hinge

78.5%

82.0%

Up 3.5 points

Bumble

76.4%

78.6%

Up 2.2 points

OkCupid

61.7%

70.5%

Up 8.8 points

Tinder

66.1%

69.5%

Up 3.4 points

Match

48.3%

52.0%

Up 3.7 points

eharmony

52.2%

51.6%

Down 0.6 points

Grindr

34.6%

35.3%

Up 0.7 points

HER

34.1%

32.5%

Down 1.6 points

Plenty of Fish

23.7%

28.8%

Up 5.1 points

Coffee Meets Bagel

26.0%

21.4%

Down 4.6 points

Largest Increase: OkCupid

OkCupid's valid recommendation coverage rose to 70.5% in October 2026 from 61.7% in August 2026, a movement beyond normal variation. This was OkCupid's second consecutive monthly increase, following a rise to 64.0% in September 2026 from 61.7% in August 2026. The brand's raw presence rate also rose to 81.8% in October 2026 from 77.2% in August 2026. Top-three placement rose to 18.9% in October 2026 from 15.8% in August 2026, while rank-one placement held steady at 3.6% in October 2026 compared with 3.5% in August 2026.

Want the full Authority Index

The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.

Largest Increase: Plenty of Fish

Plenty of Fish's valid recommendation coverage rose to 28.8% in October 2026 from 23.7% in August 2026, a movement beyond normal variation, and its second consecutive monthly increase. Raw presence rose to 40.2% in October 2026 from 33.1% in August 2026. Rank-one placement rose to 5.7% in October 2026 from 3.5% in August 2026.

Largest Decline: Coffee Meets Bagel

Coffee Meets Bagel's valid recommendation coverage fell to 21.4% in October 2026 from 26.0% in August 2026, a movement beyond normal variation. This was the brand's second consecutive monthly decline, following a fall to 22.8% in September 2026 from 26.0% in August 2026. Raw presence fell to 25.6% in October 2026 from 33.0% in August 2026.

Category Leader: Hinge

Hinge led all tracked brands with 82.0% valid recommendation coverage in October 2026, up from 78.5% in August 2026, a move within normal variation. Its top-three rate was 54.3% in October 2026, compared with 54.6% in August 2026, and its rank-one rate was 31.3%, compared with 35.8% in August 2026. Hinge held the highest presence rate in the category at 97.6% in October 2026.

Recommendation Placement Snapshot

Questions This Section Answers

  • Why can two dating brands with similar coverage have very different rank-one rates?
  • How far ahead is Hinge's rank-one rate compared with Bumble's despite similar presence?

Coverage alone does not show how prominently a brand is recommended. The four leading brands illustrate this well.

Brand

Oct 2026 top-three rate

Oct 2026 rank-one rate

Aug 2026 top-three rate

Aug 2026 rank-one rate

Hinge

54.3%

31.3%

54.6%

35.8%

Bumble

35.9%

1.1%

35.8%

2.2%

OkCupid

18.9%

3.6%

15.8%

3.5%

Tinder

37.5%

12.4%

32.8%

10.3%

Want the full Authority Index

The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.

Close coverage levels can still hide very different first-position rates. Hinge's rank-one rate of 31.3% in October 2026 was far higher than Bumble's 1.1%, despite Bumble's presence rate of 97.9% exceeding Hinge's 97.6%.

Buyer-Intent Distribution

All qualified observations in all three months fell into the Brand Recommendation class.

Buyer-intent class

Aug 2026

Oct 2026

Brand Recommendation

716

702

Pricing & Value

0

0

Multi-Brand Comparison

0

0

Total qualified observations

716

702

The current public series measures brand recommendation discovery and does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.

Historical Measurement Record

Questions This Section Answers

  • Does the three-month record support a trend in Online Dating recommendation leadership?
  • How has Hinge's coverage moved across the August, September, and October 2026 measurements?

New measurements are added to the same report.

Measurement

Qualified observations

Coverage leader

Leader coverage

Largest coverage movement

Aug 2026

716

Hinge

78.5%

Baseline month

Sep 2026

719

Hinge

74.6%

HER down 6.3 points

Oct 2026

702

Hinge

82.0%

OkCupid up 8.8 points

Evidence and Source Layer

Questions This Section Answers

  • What does the prompt-level source data actually capture about AI recommendations?
  • Does a cited source prove it caused a dating brand's recommendation?

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.

Top 10 Cited Domains

Questions This Section Answers

  • Which domains do AI platforms cite most when recommending dating brands?
  • Are dating brands' own domains among the most-cited sources in this vertical?

Across all AI platform responses in October 2026, 6,083 citations were observed across 886 unique domains.

Rank

Domain

Citations

Share

Platforms citing

1

mashable.com

536

8.8%

Gemini, AI Mode, AI Overviews, Perplexity

2

reddit.com

420

6.9%

ChatGPT, Gemini, AI Mode, AI Overviews, Perplexity

3

datingadvice.com

319

5.2%

ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, Perplexity

4

forbes.com

310

5.1%

ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, Perplexity

5

mindbodygreen.com

202

3.3%

ChatGPT, Gemini, AI Mode, AI Overviews, Perplexity

6

datingnews.com

197

3.2%

ChatGPT, Copilot, Gemini, AI Mode, AI Overviews, Perplexity

7

youtube.com

193

3.2%

AI Mode, AI Overviews, Perplexity

8

google.com

189

3.1%

AI Mode, AI Overviews

9

glamour.com

182

3.0%

ChatGPT, AI Mode, AI Overviews, Perplexity

10

datescout.us

154

2.5%

ChatGPT, Copilot, Perplexity

Citations are broadly distributed: the top 10 domains together account for roughly 44% of all citations, and no single domain exceeds 9%. No tracked brand's own domain appears in the top 10. General-interest and technology publishers (mashable.com, forbes.com, glamour.com), community and review platforms (reddit.com, youtube.com), and dating-specific sources (datingadvice.com, datingnews.com, datescout.us) dominate the sources AI surfaces referenced in this vertical.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how AI search and assistant surfaces recommend brands within a category. It is built from repeated, structured prompts across six canonical AI surface families, with each response audited for brand presence, recommendation placement, and sentiment.

Get a Company-Level Authority Index

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

Get my free AI Company Index

Want the full Authority Index

The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.