How AI Search Is Recommending Stock Tips: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Seeking Alpha led September 2026 valid recommendation coverage at 18.4%, ahead of Morningstar at 16.1% and The Motley Fool at 15.1%.
  • The Motley Fool appeared as a new tracked label in September 2026, while the legacy Motley Fool label dropped to zero, indicating a naming reconciliation in the dataset.
  • Morningstar posted the sharpest decline among continuously tracked brands, falling 7.9 points from July to September 2026, while Zacks Investment Research fell 5.7 points.
  • Recommendation-shaped answers increased to 33.7% of qualified observations, but valid recommendation shortlists fell to 27.4%, widening the gap between mentions and usable recommendations.

Executive Summary

Seeking Alpha holds the category lead in September 2026 at 18.4% valid recommendation coverage, but this month's defining story is the emergence of The Motley Fool as a distinct tracked entry. The Motley Fool entered the series at 15.1% coverage in September 2026, a significant rise from no tracked presence at baseline, placing it in third and within 3.3 points of the leader. Morningstar, the July 2026 leader, fell to 16.1% and now holds second place, behind Seeking Alpha and just ahead of The Motley Fool.

This gain coincided with a data-labeling change: the brand previously tracked as "Motley Fool" (18.9% in July 2026, 15.0% in August 2026) now appears under "The Motley Fool." The series context records this as a significant rise for the new entry and a significant decline for the legacy label, which fell 15.0 points to zero in September 2026.

The sharpest decliner among continuously tracked brands was Morningstar, down 7.9 points from 24.0% in July 2026 to 16.1% in September 2026, a significant decline. Zacks Investment Research also registered a significant decline, falling 5.7 points from 17.0% to 11.3% over the same window. No other brand moved beyond normal variation, leaving the top of the category materially reordered from baseline.

Each monthly run begins with 800 prompt-surface observations (682 unique questions in July 2026, 734 in August 2026, and 747 in September 2026) across the benchmark's defined AI/search surface universe. Of those, all 800 mentioned a tracked brand or competitor; 666 were relevant and 134 were irrelevant in July 2026, 682 were relevant and 118 were irrelevant in August 2026, and 670 were relevant and 130 were irrelevant in September 2026. The public metrics use the qualified observations that survive both qualification stages: 529 in July 2026, 545 in August 2026, and 504 in September 2026.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%10%20%30%40%Jul 2026Aug 2026Sep 2026
  • Seeking Alpha18.4%
  • Morningstar16.1%
  • The Motley Fool15.1%
  • Zacks Investment Research11.3%
  • Benzinga4.8%
  • TipRanks3.2%
  • Simply Wall St3.0%
  • MarketBeat0.4%
  • Investor's Business Daily (Acquiring Company: Dow Jones & Company (News Corp)0.0%
  • Motley Fool0.0%
  • Stansberry Research0.0%

Key Findings

Signal

September 2026 finding

Category leader

Seeking Alpha at 18.4% valid recommendation coverage, down 3.0 points from July 2026

Significant riser

The Motley Fool at 15.1% coverage in its first tracked month

Significant decliner

Morningstar down 7.9 points to 16.1%, from 24.0% in July 2026

Second significant decliner

Zacks Investment Research down 5.7 points to 11.3%, from 17.0% in July 2026

Recommendation-shaped answers

170 of 504 qualified observations (33.7%) in September 2026

Valid recommendation shortlists

138 of 504 qualified observations (27.4%) in September 2026

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.

Research stage

Jul 2026

Sep 2026

What it represents

Source prompt-surface observations collected

800

800

Total prompts run across the AI/search surface universe

Unique questions

682

747

Distinct questions after removing repeats

Brand / competitor mentions

800

800

Prompts mentioning at least one tracked brand or competitor

Relevant prompts

666

670

Prompts on-topic for the stock tips vertical

Irrelevant prompts

134

130

Prompts filtered out as off-topic

Qualified benchmark observations

529

504

Public denominator after all qualification stages

Qualified surface breadth

6

6

AI surface families with at least one qualified observation

These qualification stages define the denominator used for every brand-level percentage in this report; the metrics below summarize the resulting benchmark totals. August 2026, the intermediate month, saw 545 qualified observations, 682 relevant prompts, and 118 irrelevant prompts.

Benchmark-Level Metrics

Metric

Jul 2026

Sep 2026

Change

Qualified observations

529

504

Down 25

Companies tracked

10

10

No change

Recommendation-shaped answer share

31.9%

33.7%

Up 1.8 points

Valid recommendation shortlist share

36.1%

27.4%

Down 8.7 points

Category leader by coverage

Morningstar (24.0%)

Seeking Alpha (18.4%)

Leadership change

The qualified observation count fell from 529 in July 2026 to 504 in September 2026, with August 2026 peaking at 545. Companies tracked held steady at 10. The share of answers shaped as recommendations rose 1.8 points, while the share of valid recommendation shortlists fell 8.7 points, a widening gap between recommendation-shaped output and shortlists that qualify as valid recommendations.

AI Recommendation Trend

The top tier has reordered: the July 2026 leader fell to second place, a new entry debuted in third, and no brand now holds more than 18.4% coverage.

Brand

Jul 2026

Sep 2026

Movement

Sep 2026 rank

Benzinga

5.9%

4.8%

Down 1.1 points

5th

Investor's Business Daily

0.2%

0.0%

Down 0.2 points

9th

MarketBeat

1.1%

0.4%

Down 0.7 points

8th

Morningstar

24.0%

16.1%

Down 7.9 points

2nd

Motley Fool

18.9%

0.0%

Down 18.9 points

9th

Seeking Alpha

21.4%

18.4%

Down 3.0 points

1st

Simply Wall St

2.8%

3.0%

Up 0.2 points

7th

Stansberry Research

0.0%

0.0%

Flat

9th

The Motley Fool

0.0%

15.1%

Up 15.1 points

3rd

TipRanks

5.1%

3.2%

Down 1.9 points

6th

Zacks Investment Research

17.0%

11.3%

Down 5.7 points

4th

Three entities exceeded normal month-to-month variation in September 2026: The Motley Fool rose significantly, while Morningstar and Zacks Investment Research posted significant declines. The Motley Fool legacy label also fell significantly, though this reflects the data-labeling transition to The Motley Fool rather than an independent brand movement. The remainder of the category shifted within normal variation.

What Changed This Month

The Motley Fool / Motley Fool

The Motley Fool entered the September 2026 tracked series at 15.1% valid recommendation coverage, a significant rise from no tracked presence at the July 2026 baseline. The brand recorded 76 valid recommendations out of 504 qualified observations, with a 45.6% raw mention presence and an 11.5% top-three rate.

The legacy "Motley Fool" label, which had held 18.9% coverage in July 2026 and 15.0% in August 2026, fell to 0.0% in September 2026. The combined series context treats this as a significant 15.0-point decline for the legacy label and a significant 15.1-point rise for The Motley Fool.

Distinction to notice: this is a naming reconciliation, not two separate brands competing. The brand now tracked as The Motley Fool holds third place in valid recommendation coverage, trailing Morningstar's second-place position by 1.0 point. On rank-one rate, The Motley Fool's 6.9% edges out Seeking Alpha's 4.6%.

Highest-priority diagnostic: confirm whether the September 2026 coverage of The Motley Fool is fully continuous with the prior Motley Fool series, and whether any prompt categories shifted classification during relabeling.

Morningstar

Morningstar's valid recommendation coverage fell 7.9 points from 24.0% in July 2026 to 16.1% in September 2026, a significant decline. The brand dropped from category leader at baseline to second place, with the largest single-month drop of 6.4 points occurring between July and August 2026.

Both presence and recommendation mechanics weakened. Raw mention presence fell 12.0 points from 57.8% to 45.8%, and top-three placement fell 5.5 points from 14.4% to 8.9%. Rank-one placement eased 1.0 point from 3.4% to 2.4%. The valid recommendation count fell from 127 at baseline to 81.

Morningstar remains highly visible and sentiment stayed steady at 0.5, but its share of recommendation credit has dropped steadily across all three months. The September 2026 coverage of 16.1% keeps the brand within 2.3 points of the leader, but the trend has been uniformly downward.

Highest-priority diagnostic: which prompt types drove the sustained coverage decline, and which competitor took the recommendation slot in the answers where Morningstar lost ground?

Zacks Investment Research

Zacks Investment Research posted a significant decline of 5.7 points, falling from 17.0% valid recommendation coverage in July 2026 to 11.3% in September 2026. The brand dropped from fourth place at baseline to fourth place in September 2026, holding rank as the field above it compressed.

Presence held steady: raw mention presence moved within normal variation from 45.2% to 48.2%, actually edging up 3.0 points. The coverage loss came from recommendation mechanics. Top-three placement fell 2.0 points from 6.6% to 4.6%, and rank-one placement eased 0.3 points from 0.9% to 0.6%, both within normal variation. The valid recommendation count dropped from 90 to 57, and negative sentiment rose from 0.6% to 1.0% of observations.

Zacks is being seen at a stable, high rate but recommended less often across the series. The gap between presence and recommendation credit widened, consistent with the brand appearing in more answers in a contextual role rather than as a named recommendation.

Highest-priority diagnostic: which surfaces or prompt categories shifted away from recommending Zacks, and what changed in the evidence sources cited alongside the brand?

Buyer-Intent Interpretation

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Prompts asking which stock tips source to use or recommending a specific brand

Which brands win explicit recommendation requests, and how stable are those wins?

Pricing & Value

Prompts that involve pricing, subscription cost, or value comparisons

Which brands are associated with pricing or value discussions, and in what light?

Multi-Brand Comparison

Prompts asking for head-to-head comparison of two or more brands

Which brands are positioned as comparable options, and who wins the comparison?

All 504 qualified observations in September 2026 fell into the Brand Recommendation cluster, as did all 529 in July 2026 and all 545 in August 2026. The public benchmark therefore captures which brands are recommended and at what rank, but it cannot yet answer pricing, value, or head-to-head comparison questions. For stock tips brands, the current evidence shows the category is being evaluated primarily on which source AI systems name as the recommendation, not on price or feature trade-offs.

Brand Opportunity Summary

Brand

Sep 2026 coverage

Current signal

Highest-priority diagnostic

Benzinga

4.8%

Coverage down 1.1 points, presence up 3.5 points

Which prompts still name Benzinga, and why did presence rise without coverage?

Investor's Business Daily

0.0%

No presence in September 2026

Did the presence loss come from a surface or prompt-type shift?

MarketBeat

0.4%

Presence up 21.7 points, coverage near zero

Why did visibility rise sharply without converting into recommendations?

Morningstar

16.1%

Significant coverage decline, second place

Which prompt clusters drove the sustained 7.9-point drop?

Motley Fool

0.0%

Legacy label at zero following relabeling

Is all Motley Fool coverage now captured under The Motley Fool?

Seeking Alpha

18.4%

Category leader, stable within normal variation

Is the leadership position durable across prompt types?

Simply Wall St

3.0%

Slight gain from baseline, presence up 5.3 points

Which prompts are newly surfacing Simply Wall St?

Stansberry Research

0.0%

Minimal presence, no recommendations

What would restore any baseline visibility?

The Motley Fool

15.1%

Significant rise to third place in first tracked month

How much of the 15.1% is continuous with the legacy Motley Fool series?

TipRanks

3.2%

Coverage down from baseline, presence up 12.8 points

What role does TipRanks play when it appears but is not recommended?

Zacks Investment Research

11.3%

Significant coverage decline despite stable presence

Which evidence sources shifted away from recommending Zacks?

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 capturing the 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.

Report-Specific Interpretation Notes

  • Movement in small-count categories should be read with care; a change of a few observations can move percentage coverage by several points.
  • The qualified denominator (504 observations in September 2026) is the basis for all brand-level percentages, not the larger raw collection count.
  • Directional analysis identifies changes worth investigating; month-over-month movement 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.

Beneath the aggregate percentages sit the questions that determine competitive position: 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. The September 2026 benchmark shows a reordered top tier and a data-labeling transition, but it does not show the prompt-level pattern behind those shifts.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy.

Request an AI visibility audit

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT