CiteWorks Studio

Campaign Monitor (Marigold) AI Market Strategy Report - Email Marketing Service

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Valid recommendation coverage rose from 1.7% in July 2026 to 4.58% in September 2026, with net sentiment improving from 0.3 to 0.65.
  • The brand appeared in 40 of 502 qualified observations, but only 23 counted as valid recommendations, showing a clear presence-to-recommendation gap.
  • Perplexity was the strongest platform, contributing 15 of 23 valid recommendations and the brand’s highest platform-level recommendation activity.
  • Placement remains the main weakness: Campaign Monitor recorded no rank-one recommendations, only three top-three placements, and an average recommended rank of 5.39.

Answer Capsule

Campaign Monitor (Marigold) holds a marginal position in AI-generated recommendations for email marketing services, with valid recommendation coverage of 4.58% in September 2026. The brand is present in AI answers but rarely surfaces as a chosen recommendation, appearing in only 40 of 502 qualified observations. Its clearest win is momentum: valid recommendation coverage rose from 1.7% in July 2026 to 4.6% in September 2026, and net sentiment improved from 0.3 to 0.7. The clearest weakness is placement, with no rank-one recommendations recorded and only three top-three placements in the September sample. The clearest opportunity is converting its growing presence into higher recommendation positions, particularly on Perplexity, where the brand already records its strongest platform-level presence.

Who This Report Is For

This report is for marketing leadership and growth teams at Campaign Monitor (Marigold) evaluating how AI search surfaces currently recommend the brand in email marketing service discovery conversations.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Campaign Monitor (Marigold)

Category / market studied

Email Marketing Service

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

1

AI observations analyzed

502

Competitors tracked

10

Executive Summary

Campaign Monitor (Marigold) is present in AI answers about email marketing services but is rarely recommended. The September 2026 benchmark recorded 40 mentions across 502 qualified observations, a raw mention presence rate of 7.97%. Of those mentions, only 23 qualified as valid recommendations, producing a valid recommendation coverage of 4.58%. The brand recorded 27 positive mentions, 12 neutral mentions, and 1 negative mention, with a net sentiment score of 0.65.

The strongest signal for Campaign Monitor (Marigold) is directional improvement. Valid recommendation coverage rose from 1.7% in July 2026 to 4.6% in September 2026, and raw mention presence increased from 5.0% to 8.0% over the same period. The underlying count grew from 9 valid recommendations in July to 23 in September. Net sentiment also improved from 0.3 to 0.7.

The weakest signal is recommendation placement. Campaign Monitor (Marigold) recorded zero rank-one recommendations and only three top-three placements in September 2026. Its average recommended rank of 5.39 places it behind every brand in the competitive set with rank-eligible recommendations. The brand appears in AI answers more often than before, but those appearances are not converting into prominent recommendation positions.

The strongest platform signal is Perplexity, where Campaign Monitor (Marigold) recorded 20 mentions and 15 valid recommendations in September 2026. This is the only platform where the brand shows meaningful recommendation activity. The clearest platform gap is ChatGPT, where the brand recorded a single neutral mention and no valid recommendations.

What Campaign Monitor (Marigold) Is Winning

Questions This Section Answers

  • What gains did Campaign Monitor (Marigold) post in valid recommendation coverage and sentiment between July and September 2026?
  • Why is Perplexity the brand's most meaningful recommendation pocket?

Campaign Monitor (Marigold) has limited but real wins in the September 2026 benchmark.

The brand showed the largest percentage gain among smaller competitors. Valid recommendation coverage rose from 1.7% in July 2026 to 4.6% in September 2026, and the underlying count grew from 9 to 23 valid recommendations. This is a significant move for a brand in the category's smallest tier, though the absolute base remains modest.

Net sentiment improved from 0.3 in July 2026 to 0.7 in September 2026. The brand now records 27 positive mentions against 12 neutral and 1 negative, indicating that when AI systems reference Campaign Monitor (Marigold), the framing is predominantly favorable.

Perplexity is a narrow but meaningful recommendation pocket. The platform accounts for 15 of the brand's 23 valid recommendations, with a valid recommendation coverage of 22.39% on that surface. This suggests some prompt patterns on Perplexity are surfacing Campaign Monitor (Marigold) as a legitimate option.

Where Campaign Monitor (Marigold) Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How does the brand's presence-to-recommendation conversion compare with the rest of the competitive set?
  • Which platforms show the widest absence gaps, and how far behind the category leader does Campaign Monitor (Marigold) sit?

Campaign Monitor (Marigold) is visible but under-recommended. The brand appears in 40 qualified observations but is recommended in only 23, a conversion gap that mirrors the broader category pattern where presence does not automatically translate into recommendation credit.

The most significant gap is placement. Campaign Monitor (Marigold) recorded zero rank-one recommendations and only three top-three placements in September 2026. By comparison, Mailchimp recorded 89 rank-one placements and a 17.73% rank-one rate, while ActiveCampaign recorded 67 rank-one placements. When AI systems do recommend Campaign Monitor (Marigold), the brand tends to appear lower in the list, with an average recommended rank of 5.39.

The brand is absent from several platforms where competitors hold meaningful presence. Campaign Monitor (Marigold) recorded no mentions on Gemini and no valid recommendations on ChatGPT or Google AI Overviews. On Google AI Mode, the brand recorded 10 mentions but only 5 valid recommendations, with no top-three placements. This platform-level absence means the brand is not part of the recommendation conversation where many buyers are forming shortlists.

The gap to the category leader is substantial. Brevo holds 72.91% valid recommendation coverage against Campaign Monitor (Marigold)'s 4.58%, a spread of 68.33 points. Even Kit (ConvertKit), which entered the tracked set with similar momentum, holds 48.01% coverage. Campaign Monitor (Marigold) remains in the category's smallest tier alongside AWeber and GetResponse.

Biggest Opportunity

Questions This Section Answers

  • Where should Campaign Monitor (Marigold) focus to turn existing AI presence into higher recommendation placement?

The clearest opportunity for Campaign Monitor (Marigold) is converting its Perplexity presence into higher recommendation placement. Perplexity accounts for 15 of the brand's 23 valid recommendations, making it the only platform where the brand has meaningful recommendation activity. The brand's presence rate on Perplexity is 29.85%, and its valid recommendation coverage is 22.39%, indicating that AI systems on this surface are willing to include Campaign Monitor (Marigold) in shortlists.

The gap is placement. Campaign Monitor (Marigold) records no rank-one recommendations on Perplexity and only three top-three placements across all platforms. If the brand can move from being listed as an option to being positioned in the first three recommendations on the platform where it already has traction, it would establish a repeatable pattern for other surfaces. This is a targeted correction of the prompt, page, and citation layers rather than a broad visibility problem.

Competitive Landscape

Questions This Section Answers

  • Which brands lead the recommendation-stage positions, and where does Campaign Monitor (Marigold) rank within its tier?
  • How do the brand's top-three rate, rank-one rate, and average recommended rank compare with the leaders?

Brevo, ActiveCampaign, and Klaviyo hold the strongest recommendation-stage positions in the email marketing service category, with Mailchimp leading on rank-one placement despite ranking fourth in overall coverage. Campaign Monitor (Marigold) sits in the category's smallest tier, alongside GetResponse and AWeber, with a valid recommendation coverage of 4.58%.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

ActiveCampaign

38.25%

13.35%

2.79

0.8473

Klaviyo

37.85%

12.35%

2.76

0.8551

Mailchimp

32.67%

17.73%

2.86

0.7383

Brevo

30.28%

7.17%

3.47

0.8647

HubSpot Live Chat

20.52%

8.57%

3.50

0.8585

Kit (ConvertKit)

15.94%

1.39%

3.94

0.9058

Constant Contact

5.38%

1.20%

3.71

0.5926

Campaign Monitor (Marigold)

0.60%

0.00%

5.39

0.6500

GetResponse

0.80%

0.20%

5.90

0.7692

AWeber

0.40%

0.20%

5.50

0.6364

Average recommended rank covers rank-eligible recommendations only.

The table shows Campaign Monitor (Marigold) at the bottom of the competitive set on top-three rate and rank-one rate, with the highest average recommended rank among brands with rank-eligible recommendations. Its net sentiment score of 0.65 is lower than every brand except Constant Contact and AWeber, indicating that while the brand's framing is positive, it is not as consistently positive as the category leaders.

Prompt Evidence

Perplexity / Best Email Marketing Service Discovery Prompt: "top email marketing tools for small businesses" Result: Campaign Monitor (Marigold) appeared in the response and received valid recommendation credit, contributing to its strongest platform-level presence.

Perplexity / Best Email Marketing Service Discovery Prompt: "Which is the best email marketing service?" Result: Campaign Monitor (Marigold) was mentioned but placed outside the top three, reflecting its pattern of presence without prominent recommendation position.

ChatGPT / Best Email Marketing Service Discovery Prompt: "Which platform is best for email marketing?" Result: Campaign Monitor (Marigold) received a single neutral mention with no valid recommendation credit, showing near-total absence on a high-traffic surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Campaign Monitor (Marigold) appears on Perplexity and identify which competitor takes the recommendation when the brand is not chosen.

Phase 2: Recommendation Readiness Plan Build a targeted plan to convert the brand's existing presence into top-three placements, starting with the Perplexity prompt patterns where it already has traction.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers the discovery questions where Campaign Monitor (Marigold) is currently mentioned but not recommended, giving AI systems clearer material to cite.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that supports Campaign Monitor (Marigold) as a recommended option, focusing on sources that AI systems currently retrieve for email marketing service queries.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether the brand's presence converts into higher recommendation placement over successive measurement cycles, with particular attention to rank-one movement.

Why This Matters

AI-generated recommendations are becoming the first filter in how buyers choose email marketing services. Campaign Monitor (Marigold) is present in that conversation but is not being chosen. A buyer asking an AI assistant which email marketing service to use is far more likely to receive Brevo, ActiveCampaign, Klaviyo, or Mailchimp as the first recommendation.

Presence alone is not enough. The brand's 40 mentions in September 2026 produced only 23 valid recommendations and zero rank-one placements. The next move is targeted correction of the prompt, page, and citation layers to convert visibility into recommendation position, starting on the platform where the brand already has a foothold.

Core Metrics

Metric

Value

Mentions

40

Valid recommendations

23

Top 3 recommendation count

3

Rank #1 recommendation count

0

Average recommended rank

5.39

Positive mentions

27

Neutral mentions

12

Negative mentions

1

Raw mention presence rate

7.97%

Valid recommendation coverage

4.58%

Top 3 recommendation rate

0.60%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.6500

Strongest cluster by recommendation behavior

Best Email Marketing Service Discovery

Strongest platform by recommendation behavior

Perplexity

Sentiment Score

Sentiment Score = (positive mentions x 1 + neutral mentions x 0 + negative mentions x -1) / total mentions

For Campaign Monitor (Marigold), this produces (27 x 1 + 12 x 0 + 1 x -1) / 40 = 0.65.

This score matters because unclassified mention counts are misleading. Campaign Monitor (Marigold) has 40 mentions, but those mentions are not equal. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention all carry different commercial weight. Counting all mentions as wins would overstate the brand's position. Classified sentiment is required before interpreting AI visibility, because it distinguishes between being recommended favorably and merely being referenced.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

1

0

1

0

0.00

No public recommendation presence

Copilot

7

5

1

1

0.57

Present as context, not recommendation

Gemini

0

0

0

0

N/A

No public presence in this packet

Perplexity

20

16

4

0

0.80

Strongest public recommendation signal

Google AI Overviews

2

0

2

0

0.00

Present as context, not recommendation

Google AI Mode

10

6

4

0

0.60

Positive, but sample too small

Methodology

  1. This report is a company-level readout of the LLM Authority Index AI Market Discovery benchmark for the Email Marketing Service category, not a client implementation case study.
  2. The reporting window is September 2026, with July 2026 and August 2026 referenced for movement analysis.
  3. Six canonical AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark produced 502 qualified observations in September 2026 from 800 source prompt-surface observations, with 487 unique questions.
  5. The tracked competitor universe includes 10 brands: AWeber, ActiveCampaign, Brevo, Campaign Monitor (Marigold), Constant Contact, GetResponse, HubSpot Live Chat, Kit (ConvertKit), Klaviyo, and Mailchimp.
  6. All qualified observations fell into the Brand Recommendation buyer-intent class, which captures discovery-and-consideration queries. No qualified observations were recorded in the Pricing & Value or Multi-Brand Comparison classes.
  7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  8. A mention is defined as any appearance of the brand in a qualified observation, regardless of context.
  9. A valid recommendation is defined as an appearance in a recommendation shortlist within a qualified observation. Neutral references, cautionary mentions, and comparison-anchor appearances are not counted as valid recommendations.
  10. The tracked brand set changed in September 2026: HubSpot Live Chat entered the series, while HubSpot Service Hub recorded no qualified observations. Campaign Monitor (Marigold) remained in the tracked set across all three months.
  11. Small-count movement requires caution. Campaign Monitor (Marigold) recorded 23 valid recommendations out of 502 qualified observations, so percentage movement can reflect small absolute changes.
  12. Month-over-month movement identifies changes worth investigating but does not by itself establish cause. Source presence is evidence about the information environment, not proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Campaign Monitor (Marigold) stands in AI-generated recommendations for email marketing services. A company-level AI visibility audit can map the specific prompts, competitors, and sources driving the brand's public percentage, turning directional signals into a prioritized action plan for the surfaces that matter most.

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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.

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