How AI Search Is Recommending Medical Bills: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Dollar For remained the leader in valid recommendation coverage at 58.7%, but its position was still well below the July baseline.
  • FAIR Health recorded the largest single-month gain, rising to 34.8% coverage in October from 9.1% in September.
  • Goodbill’s coverage declined sharply from July, driven more by lower brand presence than by weaker conversion when mentioned.
  • The qualified benchmark set shrank to 46 observations in October, so month-to-month percentage changes should be read against a smaller base.

Executive Summary

The Medical Bills category shifted back toward its leaders in October 2026, but the recovery is partial at best. Dollar For remains the valid recommendation coverage leader at 58.7%, and the gap to second-place FAIR Health is 23.9 points. Dollar For gained 12.1 points from September's 46.6%, but that gain sits well below its July baseline of 83.6%, a 24.9-point decline that the benchmark classifies as significant. The leader's position is stronger than last month and still materially weaker than where the series began.

The strongest upward mover with coverage is FAIR Health, which rose from 9.1% in September to 34.8% in October, a 25.7-point jump that exceeds the prior-month threshold. From its July baseline of 20.0%, FAIR Health is up 14.8 points, within normal variation. The brand now holds 16 valid recommendations and a 10.9% top-three rate in October, up from zero top-three placements in July.

The sharpest single-month decline between the compared months belongs to Goodbill, down 31.7 points from July's 60.0% to 28.3% in October. The benchmark classifies Goodbill as a significant decliner across the series. Dollar For carries the same classification. No brand recorded a significant rise from baseline this month, and CareRoute, Clearity Health, FAIR Health, and Granted Health all sit within normal variation.

Against the prior month, the October run reversed part of September's sharp contraction: Dollar For is up 12.1 points, Goodbill up 6.7 points, FAIR Health up 25.7 points, and CareRoute up 7.5 points. None of those prior-month moves cleared its significance threshold except FAIR Health's. The category was volatile across the four-month series rather than directional, and October's qualified observation base of 46 is roughly half of September's 88.

Each monthly run begins with 800 prompt-surface observations across the benchmark's defined AI/search surface universe. In July 2026, 746 unique questions produced 376 brand or competitor mentions, of which 57 were relevant and 319 irrelevant, leaving 55 qualified observations. In October 2026, 742 unique questions produced 394 brand or competitor mentions, of which 46 were relevant and 348 irrelevant, leaving 46 qualified observations. The public metrics use the 46 October observations that survive both qualification stages.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%25%50%75%100%Jul 2026Aug 2026Sep 2026Oct 2026
  • Dollar For58.7%
  • FAIR Health34.8%
  • Goodbill28.3%
  • CareRoute10.9%
  • Granted Health2.2%
  • Clearity Health0.0%

Key Findings

Signal

October 2026 finding

Category leader

Dollar For leads valid recommendation coverage at 58.7%

Leader gap

Dollar For leads FAIR Health by 23.9 points in valid recommendation coverage

Largest riser with coverage

FAIR Health rose 25.7 points from September to 34.8% valid recommendation coverage

Significant decliners

Dollar For and Goodbill each moved beyond normal variation from baseline

Qualified denominator

46 qualified observations, down from 88 in September

Surface breadth

4 of 6 AI surface families had qualified observations in October 2026

Benchmark Context

Questions This Section Answers

  • How did the qualified observation base and surface breadth change between July and October 2026?
  • What separates the raw 800-prompt collection universe from the qualified benchmark set?

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

Research stage

Jul 2026

Oct 2026

What it represents

Source prompt-surface observations collected

800

800

Total prompt-surface observations in the benchmark's defined universe

Unique questions

746

742

Distinct questions asked across the surface universe

Brand / competitor mentions

376

394

Prompts that mentioned a tracked brand or competitor

Relevant prompts

57

46

Prompts relevant to the Medical Bills category

Irrelevant prompts

319

348

Prompts screened out as not relevant

Qualified benchmark observations

55

46

Public denominator after both qualification stages

Qualified surface breadth

2

4

Canonical AI surface families with at least one qualified observation

The qualified denominator contracted from 88 observations in September to 46 in October, returning to roughly the July level of 55. Qualified surface breadth eased from 5 families in September to 4 in October as ChatGPT observations did not appear in the qualified set. August and September sit between the comparison months at 58 and 88 qualified observations respectively across 4 and 5 surface families.

Benchmark-Level Metrics

Metric

Jul 2026

Oct 2026

Change

Qualified observations

55

46

Down 9

Companies tracked

6

6

No change

Recommendation-shaped answer share

30.9%

26.1%

Down 4.8 points

Valid recommendation shortlist share

1.8%

28.3%

Up 26.5 points

Category leader by coverage

Dollar For

Dollar For

Stable

Recommendation-shaped answer share peaked at 39.7% in August before falling to 5.7% in September and recovering to 26.1% in October. Valid recommendation shortlist share swung the other way, peaking at 19.0% in August, dropping to 8.0% in September, and reaching 28.3% in October, the highest point in the series. The combination of a smaller qualified denominator and a higher shortlist share means a larger portion of a narrower observation base carried recommendation intent.

AI Recommendation Trend

Questions This Section Answers

  • Which brands lead valid recommendation coverage in October 2026, and by how wide a margin?
  • Which brands moved beyond normal month-to-month variation from baseline?

Dollar For Retains the Lead but the Category Is Being Repriced Around It

Brand

Jul 2026

Oct 2026

Movement

Oct 2026 rank

Dollar For

83.6%

58.7%

Down 24.9 points

1st

FAIR Health

20.0%

34.8%

Up 14.8 points

2nd

Goodbill

60.0%

28.3%

Down 31.7 points

3rd

CareRoute

1.8%

10.9%

Up 9.1 points

4th

Granted Health

0.0%

2.2%

Up 2.2 points

5th

Clearity Health

0.0%

0.0%

No change

6th

Dollar For and Goodbill both exceeded normal month-to-month variation from baseline, driven by significant declines in raw mention presence alongside their coverage declines. The rest of the field's movement came from a combination of smaller shifts rather than any single brand clearing its threshold. FAIR Health's October move is the largest single-month gain in the series but remains within normal variation from baseline.

What Changed This Month

Questions This Section Answers

  • Why did Dollar For's coverage fall from its July baseline while its top-three placements improved?
  • What drove FAIR Health's 25.7-point coverage gain from September?
  • How did Goodbill's presence decline differ from its recommendation conversion?

Dollar For: Lower Coverage, More Decisive Placements

Dollar For's valid recommendation coverage fell from 83.6% in July to 58.7% in October, a 24.9-point decline the benchmark classifies as significant. The prior-month comparison is the sharper directional story: coverage rose 12.1 points from September's 46.6%, within normal variation. Across the series, Dollar For peaked at 83.6% in July, slipped to 81.0% in August, dropped to 46.6% in September, and recovered to 58.7% in October.

Placement quality moved in the opposite direction. Dollar For's top-three rate rose from 1.8% in July to 28.3% in October, and its rank-one rate rose from 1.8% to 17.4%, the highest rank-one rate in the series. The brand recorded 13 top-three placements and 8 rank-one placements in October, from 27 valid recommendations and 33 mentions.

The distinction to notice: Dollar For is being named less often overall but ranked more decisively when it appears. Raw mention presence fell from 98.2% in July to 71.7% in October, a 26.5-point decline. The brand appeared in 33 of 46 qualified observations in October, down from 54 of 55 in July.

Highest-priority diagnostic: Which prompts stopped surfacing Dollar For, and whether the presence decline concentrated in pricing-related queries or specific AI surface families.

FAIR Health: The Largest Single-Month Gain in the Series

FAIR Health's valid recommendation coverage rose from 9.1% in September to 34.8% in October, a 25.7-point increase that exceeds the prior-month threshold. From July's 20.0% baseline, the brand is up 14.8 points, a move within normal variation. FAIR Health recorded 16 valid recommendations in October from 23 mentions, up from 8 valid recommendations in September.

Placement followed. FAIR Health moved from zero top-three placements in July to 5 in October, giving it a 10.9% top-three rate. Its rank-one rate rose from 0.0% in July to 2.2% in October, with 1 rank-one placement.

The distinction to notice: FAIR Health's coverage gain came from converting existing presence into recommendations rather than from a broader presence footprint. Raw mention presence held near flat, moving from 45.5% in July to 50.0% in October, up 4.5 points and within normal variation. Net sentiment rose from 0.6 in July to 1.0 in October.

Highest-priority diagnostic: Which prompts converted FAIR Health mentions into recommendations in October, and whether the conversion held across surfaces or concentrated in one.

Goodbill: Presence Fell Ahead of Coverage

Goodbill's valid recommendation coverage fell from 60.0% in July to 28.3% in October, a 31.7-point decline the benchmark classifies as significant. From the prior month, coverage rose 6.7 points from September's 21.6%, within normal variation. Goodbill recorded 13 valid recommendations in October from 14 mentions.

Raw mention presence fell from 67.3% in July to 30.4% in October, a 36.9-point decline. The brand appeared in 14 of 46 qualified observations in October, down from 37 of 55 in July.

Placement improved against the baseline even as coverage fell. Goodbill's top-three rate rose from 1.8% in July to 28.3% in October, and its rank-one rate moved from 0.0% to 10.9%, with 13 top-three placements and 5 rank-one placements.

The distinction to notice: Goodbill now converts most of the mentions it receives into recommendations. Its valid recommendation count of 13 sits close to its 14 mentions, a tighter presence-to-recommendation ratio than the brand showed earlier in the series. The decline is in how often the brand is named at all, not in how it is treated when named. Net sentiment held at 0.9 across both comparison months.

Highest-priority diagnostic: Which prompts Goodbill stopped appearing in, and whether the losses concentrated in surfaces where it previously held rank-one placements.

CareRoute: Presence Tracks Coverage More Closely

CareRoute's valid recommendation coverage rose from 1.8% in July to 10.9% in October, up 9.1 points and within normal variation. The brand recorded 5 valid recommendations in October from 18 mentions, up from 1 valid recommendation in July and 3 in September. Prior-month coverage rose 7.5 points from September's 3.4%.

Raw mention presence rose from 7.3% in July to 39.1% in October, a 31.8-point increase. CareRoute appeared in 18 of 46 qualified observations in October.

Placement followed presence for the first time in the series. CareRoute's top-three rate moved from 0.0% in July to 10.9% in October, with 5 top-three placements and 2 rank-one placements. Net sentiment eased from 0.2 in July to 0.3 in October. The gap between CareRoute's 39.1% presence rate and its 10.9% coverage rate remains wide, but narrower than in September, when presence ran at 45.5% against 3.4% coverage.

The distinction to notice: this is the first month in the series where CareRoute's coverage moved at the same time as its presence rather than lagging behind it. The conversion rate is still low, and the observation base more than halved from September, so the movement should be read against a smaller denominator.

Highest-priority diagnostic: Whether CareRoute's presence-to-coverage conversion continues in months with a larger qualified denominator, and which prompts produced its top-three placements.

Granted Health: First Repeat Recommendation Credit

Granted Health recorded 1 valid recommendation in October, giving it 2.2% valid recommendation coverage, up 2.2 points from July's 0.0% baseline and from September's 0.0%. The move is within normal variation. The brand recorded 1 top-three placement and zero rank-one placements from 3 mentions.

This is the first month in the series with a valid recommendation count above zero that follows a month with the same. Granted Health's August reading of 1.7% did not repeat in September, so October is the first sustained foothold. Net sentiment moved from 0.0 in July to 0.3 in October.

The counts are small: 3 mentions, 1 valid recommendation. A single recommendation from three mentions is not enough to establish a trend, and the percentage moves carry limited weight at this scale.

Highest-priority diagnostic: Whether the brand appears in additional qualified prompts in the next run, and whether the single recommendation came from a surface family where the brand has any supporting presence.

Clearity Health: No Qualified Presence Across the Series

Clearity Health recorded zero mentions and zero valid recommendations in October, consistent with July, August, and September. Its valid recommendation coverage held at 0.0% across all four months, with no qualified observations in the category's 46-observation October benchmark.

Dollar For records 58.7% valid recommendation coverage in October, while Clearity Health stands at 0.0%. Every other tracked brand in this benchmark, including Granted Health with just 3 mentions and a single valid recommendation, has at least one qualified observation to build from, while Clearity Health has zero across the entire four-month series. Until Clearity Health registers even one qualified mention, it cannot compete for recommendation share, top-three placement, or rank-one status in this category — a recommendation gap distinct in kind from every other brand tracked, and one that a stronger competitor's 58.7% coverage shows is commercially available to be won.

Highest-priority diagnostic: Whether Clearity Health appears in any raw collection prompts that did not qualify, or whether the brand is entirely absent from the Medical Bills question universe.

Buyer-Intent Interpretation

Questions This Section Answers

  • Which buyer-intent cluster captured all 46 qualified observations in October?
  • Why can't the benchmark yet speak to pricing or head-to-head comparisons between brands?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Prompts where a specific brand is recommended

Who wins the direct recommendation when a consumer asks for help with medical bills?

Pricing & Value

Prompts about cost, fees, or value trade-offs

How do brands appear when consumers compare cost or value?

Multi-Brand Comparison

Prompts that weigh two or more brands side by side

Which brands are positioned as comparable alternatives?

The qualified observations in October fell into the Brand Recommendation cluster, consistent with July, August, and September. All 46 qualified observations and all brand-level metrics in the current period sit in this cluster. The Pricing & Value and Multi-Brand Comparison clusters recorded no qualified observations in any of the four months.

That concentration means the public benchmark can speak to which brand AI systems recommend, but not yet to how brands surface in pricing discussions or head-to-head comparisons. Pricing analysis responses accounted for 11 of the 46 October qualified observations, down from 28 of 88 in September, indicating pricing themes appear in the qualified set without meeting the brand-level recommendation bar. The commercial questions around cost, value, and side-by-side comparison remain open at the benchmark level.

Brand Opportunity Summary

Questions This Section Answers

  • What is the highest-priority diagnostic for each brand in the October benchmark?

Brand

Oct 2026 coverage

Current signal

Highest-priority diagnostic

Dollar For

58.7%

Leader, recovering from September but significantly below baseline

Which prompts stopped surfacing the brand?

FAIR Health

34.8%

Largest single-month gain in the series, within normal variation from baseline

Which prompts converted mentions to recommendations?

Goodbill

28.3%

Significant decline from baseline, presence fell ahead of coverage

Which prompts no longer name the brand?

CareRoute

10.9%

Presence and coverage moving together for the first time

Does conversion hold in a larger denominator month?

Granted Health

2.2%

First repeat recommendation credit

Does the brand appear in additional qualified prompts?

Clearity Health

0.0%

No presence in qualified set across the series

Does the brand appear in any unqualified prompts?

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 CiteWorks Studio AI Visibility Industry Market research program, powered by the LLM Authority Index.

Report-Specific Interpretation Notes

  • The qualified denominator contracted from 88 observations in September to 46 in October. Percentage movements in October are calculated against a smaller base than in the prior month, and small counts apply to Granted Health (3 mentions, 1 valid recommendation) and Clearity Health (0 mentions).
  • Qualified surface breadth eased from 5 families in September to 4 in October as ChatGPT observations did not appear in the qualified set. Comparisons between months reflect this narrower surface coverage.
  • Valid recommendation coverage is measured within the qualified benchmark set, not across the raw collection universe of 800 prompts per month.
  • Movement in valid recommendation coverage identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

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

The aggregate percentages reveal which brands AI systems recommend and how prominently, but they do not answer the questions beneath the numbers: which high-intent prompts a brand wins, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. For a category where the leader remains significantly below its baseline while the field behind it converts presence into coverage at different rates, those questions carry immediate commercial weight.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's directional signal into an actionable picture of where a brand's authority is building or eroding.

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What Is AI Citation Intelligence?
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About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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