How AI Search Is Recommending Online Therapy: Monthly Trends

Executive Summary

The online therapy category was quiet in August 2026: no brand's valid recommendation coverage moved beyond the range the benchmark treats as normal month-to-month variation, extending the stable pattern recorded since the July 2026 baseline. Talkspace remains the category leader at 64.5% coverage, down 4.0 points from 68.5% in July 2026, with the leader position unchanged. BetterHelp holds second place at 52.8%, down 0.3 points from 53.1%, and the gap between the top two brands narrowed from 15.4 points to 11.7 points.

Grow Therapy's raw mention presence rose 6.3 points, from 59.0% in July 2026 to 65.3% in August 2026, the largest movement recorded on any metric in the category this month, though the category's primary metric, valid recommendation coverage, did not move enough for any brand to keep the month classified as quiet. Grow Therapy's own valid recommendation coverage moved in the opposite direction, down 2.3 points from 49.7% to 47.4%.

Brightside Health recorded the second-largest coverage decline among the top four brands, down 3.7 points from 44.4% to 40.7%, also within normal month-to-month variation. Ranking positions held across the top five brands; the only order change was a swap between Rula and LifeStance Health in the sixth and seventh positions.

Each monthly run begins with 800 prompt-surface observations (445 unique questions in July 2026; 492 unique questions in August 2026) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor in both months; 736 were relevant and 64 were irrelevant in July 2026, versus 754 relevant and 46 irrelevant in August 2026. The public metrics use the 473 qualified observations in July 2026 and 496 in August 2026 that survive both qualification stages.

Key Findings

Benchmark Context

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

The rise in qualified observations from 473 in July 2026 to 496 in August 2026 tracks the modest increase in relevant prompts (736 to 754) and the decline in irrelevant prompts (64 to 46), rather than any change in the platform or company universe, which stayed the same across both months.

Benchmark-Level Metrics

AI Recommendation Trend

Coverage by Brand

Talkspace holds the category lead in both months, with an 11.7-point gap over BetterHelp in August 2026, and no brand's valid recommendation coverage moved beyond the range the benchmark treats as normal for this category. The only change in rank order was a swap between Rula and LifeStance Health in the sixth and seventh positions; every other brand held its July 2026 rank.

What Changed This Month

Cerebral: Recommendation Coverage Remains Far Behind the Leaders

Cerebral's valid recommendation coverage fell 1.8 points from 8.9% in July 2026 to 7.1% in August 2026, while remaining fifth in the category. The brand recorded 35 valid recommendations in August.

Talkspace records 64.5% valid recommendation coverage, while Cerebral stands at 7.1%. The more important issue is what that competitive gap means for Cerebral's recommendation position: within the qualified direct-recommendation situations measured by this benchmark, Cerebral is entering the valid recommendation set far less often than the category leader. The current benchmark does not establish the cause of this gap, making the mechanism behind Cerebral's low recommendation coverage the clearest area requiring attention.

Highest-priority diagnostic: Which prompt patterns, surfaces, competitor outcomes, and evidence patterns explain why Cerebral receives valid recommendation credit in only a small share of the qualified recommendation situations measured by the benchmark?

Talkspace Leads a Quiet Category

Talkspace's valid recommendation coverage fell 4.0 points from 68.5% in July 2026 to 64.5% in August 2026. The decline is the largest among the top four brands but remains within the range the benchmark treats as normal month-to-month variation.

The brand's top-three recommendation rate dipped 1.7 points from 58.8% to 57.1%, while its rank-one rate fell 4.4 points from 21.3% to 16.9%, the sharpest single movement among its supporting metrics. Raw mention presence held nearly flat at 98.8%, down 0.4 points from 99.2%.

Talkspace remains essentially ubiquitous in AI responses, yet its position as the first-named recommendation is slipping even as its presence holds. The valid recommendation count moved from 324 in July 2026 to 320 in August 2026.

Highest-priority diagnostic: Which prompt patterns are shifting Talkspace from first to second or third in the recommendation order, and which brands are taking those top slots?

BetterHelp Holds Steady in Second

BetterHelp's valid recommendation coverage eased 0.3 points from 53.1% in July 2026 to 52.8% in August 2026, the smallest movement among the top four brands. The gap to Talkspace narrowed from 15.4 points to 11.7 points.

The brand's top-three rate improved 3.3 points from 42.9% to 46.2%, its strongest supporting movement. Rank-one rate rose 0.5 points to 25.4%, and raw mention presence increased 1.6 points to 85.5%. Valid recommendation count moved from 251 to 262.

BetterHelp is gaining ground on the strength of its placement within recommendation lists even as its overall coverage fraction eases slightly. The brand leads Talkspace on rank-one rate, 25.4% versus 16.9%.

Highest-priority diagnostic: Which surfaces are driving BetterHelp's improved top-three placement, and does that strength hold across both AI Mode and AI Overviews?

Grow Therapy: Presence Rises, Coverage Falls

Grow Therapy's raw mention presence rose 6.3 points from 59.0% in July 2026 to 65.3% in August 2026, the largest movement recorded on any metric in the category this month. Its valid recommendation coverage moved in the opposite direction, down 2.3 points from 49.7% to 47.4%.

Top-three rate improved 2.9 points to 37.1%, and rank-one rate eased 0.2 points to 12.5%. Valid recommendation count held at 235 in both months.

Grow Therapy is appearing more often in AI responses while its share of qualified recommendations is not keeping pace. That gap between presence and coverage is the most notable pattern in the category this month, even though it falls short of the movement the benchmark treats as significant on the primary metric.

Highest-priority diagnostic: Where in the response is Grow Therapy appearing when it is mentioned but not recommended, and which competitors capture the recommendation in those cases?

Brightside Health: Sharpest Coverage Decliner Among the Leaders

Brightside Health's valid recommendation coverage fell 3.7 points from 44.4% in July 2026 to 40.7% in August 2026, the second-largest decline in the category after Talkspace. The movement remains within the range the benchmark treats as normal for this category.

Raw mention presence slipped 1.7 points to 47.8%, and top-three rate eased 1.1 points to 18.8%. Rank-one rate edged up 0.3 points to 1.6%. Valid recommendation count moved from 210 to 202. Net sentiment remained strong at 0.9.

Brightside Health retains a high sentiment score among its mentions while its coverage fraction eases. The brand's near-zero rank-one rate of 1.6% (8 observations) suggests it appears in recommendations but rarely as the first choice.

Highest-priority diagnostic: Which competitor is absorbing Brightside Health's coverage share, and is the decline concentrated in specific surfaces or prompt types?

Buyer-Intent Interpretation

In August 2026, all 496 qualified observations fell into the Brand Recommendation cluster, with no observations recorded in the Pricing & Value or Multi-Brand Comparison clusters. The public benchmark therefore measures which brand AI recommends when asked directly, but it cannot yet speak to how AI characterizes pricing trade-offs, insurance compatibility, or head-to-head comparisons between providers. Those commercial questions remain open for company-level analysis.

Brand Opportunity Summary

The benchmark identifies where attention is warranted across the category; a company-level analysis is needed to explain why these patterns hold.

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 Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• All brand-level percentages are calculated within the qualified benchmark set (473 observations in July 2026; 496 in August 2026), not the raw collection universe of 800 prompts.
• Small observation counts are valid for this category and are reported alongside percentages where relevant. Brands with low valid recommendation counts should be read with that context in mind.
• Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes. No brand's valid recommendation coverage moved beyond the range the benchmark treats as normal for this category in August 2026.

Next Step

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

The aggregate percentages in this report sit on top of a set of individual decisions made by AI systems: which high-intent prompts a brand wins, which competitor takes the recommendation when the brand loses, what attributes AI associates with each option, and which external sources shape those answers. For the online therapy category, the open questions include why Talkspace's rank-one rate is slipping despite near-universal presence, and why Grow Therapy's presence gains are not converting into recommendation credit.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It answers the questions this public benchmark raises but cannot resolve on its own.

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