GetResponse AI Visibility Market Strategy Report - Email Marketing Service

Answer Capsule

GetResponse holds a marginal position in AI-generated email marketing recommendations, recording 7.55% valid recommendation coverage in October 2026 against a category leader at 70.65%. The brand appears in 11.53% of qualified AI responses but converts that presence into a valid recommendation shortlist position far less often than category peers. Its clearest strength is a positive sentiment profile with zero negative mentions across 55 present appearances. Its clearest weakness is a rank-one recommendation rate of 0.42%, meaning AI systems almost never position GetResponse as a first-choice option. The clearest opportunity lies in converting existing brand mentions into recommendation-stage visibility within the Brand Recommendation cluster.

Who This Report Is For

This report is written for GetResponse marketing leadership, category strategists, and competitive intelligence teams evaluating how AI systems recommend email marketing platforms to buyers during discovery and consideration stages.

Report Card

Executive Summary

Questions This Section Answers

• Where does GetResponse rank in AI-generated email marketing recommendations, and how far does it trail the category leader?
• What does GetResponse's presence-to-recommendation conversion rate reveal about its AI visibility?
• Which platforms and clusters represent GetResponse's strongest and weakest recommendation signals?

GetResponse recorded 7.55% valid recommendation coverage in October 2026, placing it eighth among ten tracked brands in the Email Marketing Service category. The brand appeared in 55 of 477 qualified observations, a raw mention presence rate of 11.53%, but converted only 36 of those appearances into valid recommendation shortlist positions. This gap between presence and recommendation conversion is the central finding of this analysis.

The sentiment profile is positive. GetResponse recorded 38 positive mentions, 17 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.6909. No other tracked brand in the category recorded zero negative mentions while maintaining a positive sentiment balance above 0.65. The absence of negative framing suggests that when AI systems do mention GetResponse, the surrounding context is favorable or at minimum neutral.

The strongest platform signal for GetResponse is Perplexity, where the brand recorded 27.27% valid recommendation coverage and a 3.03% top-three rate. Perplexity also produced the highest positive visibility rate for GetResponse at 27.27%. This platform represents the clearest pocket of recommendation-stage visibility for the brand.

The weakest platform signal is Gemini, where GetResponse recorded 1.49% valid recommendation coverage and zero top-three placements. ChatGPT also showed limited recommendation conversion, with GetResponse recording 1.82% valid recommendation coverage despite appearing in 3.64% of ChatGPT observations.

The clearest cluster gap is structural. All 477 qualified observations in October 2026 fell into the Brand Recommendation cluster. The Pricing and Value cluster and the Multi-Brand Comparison cluster recorded zero qualified observations. This means the benchmark cannot yet measure how GetResponse performs when buyers ask about pricing, value, or head-to-head comparisons, which are typically higher-intent discovery moments.

The competitive gap is substantial. Brevo leads the category at 70.65% valid recommendation coverage, followed by ActiveCampaign at 68.34% and Klaviyo at 67.09%. GetResponse trails the leader by 63.10 percentage points on this metric. Even against Constant Contact, which ranks seventh at 15.51%, GetResponse trails by 7.96 percentage points.

What GetResponse Is Winning

Questions This Section Answers

• Which platform gives GetResponse its strongest recommendation-stage visibility?
• How does GetResponse's sentiment profile compare to other tracked email marketing brands?

GetResponse holds a positive sentiment profile with zero negative mentions across 55 present appearances in October 2026. This is a meaningful signal: the brand is not being framed negatively in AI-generated responses, even when it is not being recommended.

The brand's strongest platform by recommendation behavior is Perplexity, where it recorded 27.27% valid recommendation coverage and 18 valid recommendations from 66 platform observations. Perplexity also produced the highest positive visibility rate for GetResponse at 27.27%, indicating that when Perplexity surfaces GetResponse, the framing is consistently favorable.

GetResponse recorded a net sentiment score of 0.6909, which places it above Constant Contact (0.5267) and Campaign Monitor (0.6111) but below the category's top performers. The sentiment profile is a foundation that can support recommendation growth if the brand's presence converts more effectively.

The brand also recorded a rank-one recommendation rate of 0.42%, tied with AWeber and above Campaign Monitor, which recorded zero rank-one placements. While this is a marginal win, it indicates that GetResponse is occasionally positioned as a first-choice recommendation, which is more than some competitors can claim.

Where GetResponse Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does GetResponse fail to convert many of its AI mentions into valid recommendations?
• How large is GetResponse's rank-one and top-three gap compared to Mailchimp and Klaviyo?
• Which platforms account for GetResponse's weakest recommendation-stage visibility?

GetResponse appears in AI responses but is rarely converted into a valid recommendation. The brand recorded 55 present appearances across 477 qualified observations, a raw mention presence rate of 11.53%. However, only 36 of those appearances resulted in a valid recommendation shortlist position, producing a valid recommendation coverage of 7.55%. This means that in roughly one-third of the observations where GetResponse is mentioned, it does not earn recommendation credit.

The rank-one gap is more severe. GetResponse recorded only 2 rank-one placements across 477 qualified observations, a rank-one rate of 0.42%. Mailchimp, by contrast, recorded 104 rank-one placements and a rank-one rate of 21.80%. This means that even when GetResponse is mentioned, AI systems almost never position it as the first recommendation.

The top-three gap is similarly pronounced. GetResponse recorded 5 top-three placements, a top-three rate of 1.05%. Klaviyo recorded 224 top-three placements and a top-three rate of 46.96%. ActiveCampaign recorded 209 top-three placements and a top-three rate of 43.82%. The gap between GetResponse and the category's top-three performers is measured in orders of magnitude, not percentage points.

Platform-level gaps reinforce the pattern. On Gemini, GetResponse recorded zero top-three placements and a valid recommendation coverage of 1.49%. On ChatGPT, the brand recorded a valid recommendation coverage of 1.82% and zero rank-one placements. These platforms represent the largest volume of qualified observations in the benchmark, and GetResponse is largely absent from recommendation-stage visibility on both.

The comparison to Constant Contact is instructive. Constant Contact recorded 150 present appearances and 74 valid recommendations, producing a valid recommendation coverage of 15.51%. GetResponse recorded 55 present appearances and 36 valid recommendations, producing a valid recommendation coverage of 7.55%. Constant Contact converts presence into recommendation credit at a higher rate, even though both brands trail the category leaders by wide margins.

Biggest Opportunity

Questions This Section Answers

• What is the clearest opportunity for GetResponse to improve its AI recommendation position?
• Which competitors capture recommendations when GetResponse is mentioned but not chosen?

The clearest opportunity for GetResponse is converting existing brand mentions into valid recommendation shortlist positions within the Brand Recommendation cluster. The brand already appears in 11.53% of qualified observations, which means AI systems are surfacing GetResponse as a relevant option. The gap is in recommendation conversion: only 7.55% of observations result in a valid recommendation, and only 1.05% result in a top-three placement.

Closing this gap requires understanding which prompts surface GetResponse without recommending it, and which competitor takes the recommendation when GetResponse is not chosen. The benchmark data shows that Klaviyo, ActiveCampaign, and Mailchimp dominate top-three and rank-one placements. The opportunity is to identify the prompt patterns where GetResponse is mentioned but displaced, and to build the citation and content layer that supports recommendation-stage visibility in those specific contexts.

Competitive Landscape

Questions This Section Answers

• Which email marketing brands hold the strongest recommendation-stage positions in AI responses?
• Where does GetResponse rank on top-three rate, rank-one rate, and average recommended rank?
• How does GetResponse's average recommended rank compare to the rest of the category?

Klaviyo, ActiveCampaign, and Mailchimp hold the strongest recommendation-stage positions in the Email Marketing Service category, with Klaviyo leading on top-three rate and Mailchimp leading on rank-one rate. GetResponse sits in the lower tier of the tracked set, with recommendation metrics that place it closer to AWeber and Campaign Monitor than to the category leaders.

Average recommended rank covers rank-eligible recommendations only.

GetResponse ranks eighth on top-three rate and tied for eighth on rank-one rate among the ten tracked brands. Its average recommended rank of 5.27 is the lowest in the category, meaning that when GetResponse does receive a rank-eligible recommendation, it is positioned further down the list than any other tracked brand.

Prompt Evidence

Perplexity / Brand Recommendation Prompt: "Which is the best email marketing service?" Result: GetResponse appeared in the response with a valid recommendation, contributing to its strongest platform-level coverage rate of 27.27%.

Gemini / Brand Recommendation Prompt: "email marketing software" Result: GetResponse recorded zero top-three placements on Gemini, where the brand's valid recommendation coverage was 1.49%.

ChatGPT / Brand Recommendation Prompt: "Which is the best marketing automation tool?" Result: GetResponse appeared in 3.64% of ChatGPT observations but recorded zero rank-one placements and a valid recommendation coverage of 1.82%.

Google AI Overviews / Brand Recommendation Prompt: "What is the best email platform for marketing?" Result: GetResponse recorded a valid recommendation coverage of 1.01% on Google AI Overviews, with one rank-eligible recommendation at rank 10.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts where GetResponse is mentioned but not recommended, and identify which competitors capture the recommendation in those contexts.

Phase 2: Recommendation Readiness Plan Prioritize the platform and prompt combinations where GetResponse has presence but weak recommendation conversion, starting with ChatGPT and Gemini.

Phase 3: Owned Answer Layer Buildout Develop content and structured data that supports recommendation-stage visibility for the prompts where GetResponse currently appears without earning shortlist credit.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems draw from, focusing on the third-party review sites and comparison pages that shape recommendations in this category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, top-three rate, and rank-one rate across all six platforms to measure whether conversion gaps are closing.

Why This Matters

AI presence alone is not enough. GetResponse appears in 11.53% of qualified AI responses, but only 7.55% of observations result in a valid recommendation. The gap between presence and recommendation is where buyer choice is determined. A brand that is mentioned but not recommended is visible without being chosen.

The next move is targeted correction of the prompt, page, and citation layers that shape AI-generated recommendations. The benchmark shows where GetResponse stands. The work ahead is closing the gap between being mentioned and being recommended.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why does GetResponse's positive sentiment score not translate into higher recommendation rates?
• How is GetResponse's net sentiment score calculated and what does it indicate about AI framing?

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

For GetResponse in October 2026: (38 × 1 + 17 × 0 + 0 × -1) / 55 = 0.6909

This score matters because unclassified mention counts are misleading. A brand that appears in 55 responses with 38 positive mentions, 17 neutral mentions, and zero negative mentions has a fundamentally different position than a brand with the same mention count but a negative sentiment balance. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility.

GetResponse's sentiment score of 0.6909 indicates that the brand is framed positively or neutrally in AI-generated responses. The absence of negative mentions is a strength. However, sentiment alone does not drive recommendation. The brand's low top-three and rank-one rates show that positive framing is not converting into recommendation-stage visibility.

Sentiment by Platform

Questions This Section Answers

• Which AI platform produces the strongest positive sentiment signal for GetResponse?
• Where is GetResponse present but framed as context rather than recommendation?

Methodology

Questions This Section Answers

• What defines a valid recommendation versus a mention in this GetResponse benchmark?
• Which clusters and platforms were tracked in the October 2026 email marketing benchmark?

1. This report is a benchmark-based analysis of GetResponse's AI visibility and recommendation position in the Email Marketing Service category for October 2026. It is not a client implementation case study.
2. The reporting window is October 2026. The benchmark series covers July 2026 through October 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
4. The October 2026 sample produced 477 qualified observations from 800 source prompt-surface observations. The 800 source observations represented 483 unique questions.
5. The competitor universe includes ten tracked brands: GetResponse, Brevo, ActiveCampaign, Klaviyo, Mailchimp, Kit (ConvertKit), HubSpot Live Chat, Constant Contact, Campaign Monitor (Marigold), and AWeber.
6. One public high-intent cluster was active in October 2026: Brand Recommendation (C01). The Pricing and Value cluster (C02) and the Multi-Brand Comparison cluster (C03) recorded zero qualified observations.
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 GetResponse in a qualified AI response, regardless of context or recommendation status.
9. A valid recommendation is defined as an appearance in a valid recommendation shortlist, as marked by the benchmark's qualification process. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset explicitly marks them as such.
10. Brand-level percentages use the 477 qualified observations as the public denominator, not the 800 raw prompt-surface observations.
11. The benchmark does not measure market share, attributable sales, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone.
12. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Get Your AI Visibility Audit

The public benchmark shows where GetResponse stands in AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, competitors, and sources driving your brand's public percentage, and turns the benchmark's directional signals into a concrete action plan for the prompts and surfaces that matter most.