How AI Search Is Recommending Email Marketing Service: Monthly Trends

Executive Summary

Brevo ends October 2026 as the category's coverage leader at 70.7% valid recommendation coverage, holding the position it has occupied across the full July-to-October series. ActiveCampaign sits second at 68.3%, a 2.4-point gap that places the two brands in a tight leadership cluster rather than a decisive lead. Klaviyo follows at 67.1%, meaning three brands are separated by 3.6 points at the top of the category. This month's leadership outcome is a continuation, not a change: Brevo's lead over the next brand has narrowed from 2.3 points in July to 2.4 points in October, effectively flat.

The strongest sustained upward movement with meaningful coverage belongs to Kit (ConvertKit), which moved from 37.1% in July to 44.0% in October, a gain of 6.9 points that the benchmark classifies as significant against the baseline. Klaviyo posted a notable placement gain, with its top-three rate up 8.5 points from July to October, even as its overall coverage rate held essentially flat across the same period.

The sharpest decline belongs to HubSpot Service Hub, which recorded 50.3% coverage in July and appears at 0.0% in October, a 50.3-point drop the benchmark classifies as a significant decline. This reflects a roster change rather than a competitive loss: HubSpot Service Hub exited the tracked set after August and HubSpot Live Chat entered in September, recording 29.8% coverage in October after 48.4% in its first tracked month. That is a 18.6-point decline from its September entry, and the benchmark treats it as significant.

Against the prior month, the category was mixed. October's 477 qualified observations are the smallest of the four-month series, down from 502 in September and 525 in July. Three brands are classified as significant risers against the baseline (Kit (ConvertKit), Campaign Monitor (Marigold), and HubSpot Live Chat) and one as a significant decliner (HubSpot Service Hub), with the remaining seven brands stable.

Each monthly run begins with 800 prompt-surface observations across the benchmark's defined AI/search surface universe. In July 2026, those 800 observations represented 450 unique questions; 783 were relevant, 17 were irrelevant, and 525 qualified for the public metrics. In October 2026, the same 800 observations represented 483 unique questions; 771 were relevant, 29 were irrelevant, and 477 qualified for the public metrics. Every observation in both months mentioned a tracked brand or competitor at the collection stage. The public metrics use the 525 July observations and the 477 October observations that survive both qualification stages.

Key Findings

AI Response Inconsistency Alerts

Eight critical or high-severity factual inconsistencies were detected across four AI platforms: ChatGPT, Copilot, Gemini, and Google AI Overviews. Each inconsistency is listed below by company.

Brevo

Four high-severity inconsistencies were detected for Brevo, all concerning pricing. When asked "What is the best email marketing service?", ChatGPT stated that Brevo primarily prices around email volume rather than the number of contacts stored, citing a third-party software review blog, while Google AI Overviews stated that Brevo uses contact-based pricing with strong transactional email features, citing PCMag, YouTube, and Business.com. A flagged source on the ChatGPT side noted that Brevo "mainly charges for sends" while competitors scale around contacts or subscribers.

When asked "What is a cheaper alternative to Mailchimp?", Google AI Overviews stated that Brevo's paid plans start at $8 to $9 per month, citing a Lovable guide and a Reddit discussion, while Copilot stated that paid plans start at $25 per month, citing Velocity AI Partners and EmailTooltester. Both sides carried flagged sources: one citing Brevo's free tier of 300 emails per day rising to a $25 per month plan, the other stating that Brevo "charges based on emails sent rather than contacts stored, starting at $9/month for 5,000 emails." These two price points cannot both describe the same entry plan.

Two further pricing-model conflicts emerged from the same question, "What is the alternative to MailerLite?" Google AI Mode stated that Brevo prices plans based on the number of emails sent per month with unlimited contacts, citing a creator-focused comparison blog, while Google AI Overviews stated that Brevo uses a contact-limit model rather than strict email send limits, citing Systeme.io, Zapier, and Reddit. In a separate instance of the same question, ChatGPT stated that Brevo pricing is based more on sending volume, citing StackMerit and an email platform desk, while Google AI Overviews again stated the contact-limit model. A flagged source on the Email Platform Desk side noted the ambiguity directly, observing that both contact-based and sending-based pricing appear in descriptions of the same product.

Kit (ConvertKit)

Two high-severity inconsistencies were detected for Kit (ConvertKit), both concerning the free plan subscriber limit. When asked "What is a cheaper alternative to Mailchimp?", Google AI Overviews stated that Kit's free tier allows up to 10,000 subscribers, citing a Lovable guide and a Reddit discussion, while Copilot stated the free tier allows up to 1,000 subscribers, citing Velocity AI Partners and EmailTooltester. A flagged source on the Copilot side stated the free plan covers "1,000 subscribers, 12,000 emails/month," while a flagged source on the Google AI Overviews side stated "Free (up to 10K subscribers)."

When asked "What is the best alternative to Mailchimp?", Google AI Mode stated the free plan covers up to 10,000 contacts, citing a Reddit discussion, Venture Harbour, and YouTube, while ChatGPT stated the free plan includes 250 subscribers, citing Brevo's help center, MailerLite's pricing page, and ActiveCampaign's blog. A flagged source on the ChatGPT side cited MailerLite's own pricing page showing "Up to 250 subscribers," a figure that belongs to a different product than the one being described.

Constant Contact

One high-severity inconsistency was detected for Constant Contact, concerning customer base size. When asked "Do people still use Constant Contact?", ChatGPT stated that Constant Contact serves more than 460,000 small businesses, nonprofits, and franchises, citing Constant Contact's own site and two third-party data pages, while Copilot stated that approximately 37,710 companies actively use the product, citing a 2026 review site, TechnologyChecker, and AeroLeads. Both figures appear to be directionally defensible under different definitions, but the responses present them as directly competing facts. Flagged sources cited live-crawl counts of 37,710 and 41,875 companies.

Mailchimp

One high-severity inconsistency was detected for Mailchimp, concerning the free plan subscriber limit. When asked "What is the best free email marketing service?", Google AI Overviews stated that Mailchimp's free plan covers 500 contacts and 1,000 emails per month, citing Zapier and two comparison blogs, while Google AI Mode stated that the free plan now restricts users to 250 subscribers, citing Zapier and two YouTube reviews. Both answers drew on overlapping source material yet produced different caps.

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.

Benchmark-Level Metrics

The benchmark-level metrics below summarize the aggregate shift in answer composition between the two months, separate from any individual brand's standing.

Two intermediate readings matter for interpretation. September recorded 502 qualified observations and a 55.2% recommendation-shaped answer share; August recorded 545 qualified observations and 54.1%. The trajectory across the series is not monotonic: the recommendation-shaped share climbed from 47.4% in July to 54.1% in August, edged to 55.2% in September, then rose sharply to 71.9% in October. The valid recommendation shortlist share moved more gradually, from 75.8% in July through 72.8% in August and 77.5% in September to 82.0% in October. The October composition shift is the largest single-month change in the series.

AI Recommendation Trend

Questions This Section Answers

• Which brands lead the category on valid recommendation coverage, and how tight is the top cluster?
• Which brands moved beyond normal month-to-month variation on coverage?

The category's leadership is stable but the top cluster is tight: Brevo, ActiveCampaign, and Klaviyo are separated by 3.6 points, with Mailchimp close behind at 60.2%.

Recommendation Coverage by Brand

Kit (ConvertKit), Campaign Monitor (Marigold), HubSpot Live Chat, and HubSpot Service Hub moved beyond the category's normal month-to-month variation on the primary coverage metric. The remaining seven brands fell within normal variation, meaning the category-level change this month came from a combination of several smaller movements rather than one dominant shift. The HubSpot roster change is an instrument change, not a competitive movement.

What Changed This Month

Questions This Section Answers

• What drove Brevo's September-to-October step down in coverage?
• Which brands posted the clearest gains or declines this month, and what was behind the HubSpot roster change?

Brevo: Leader holds, but the September-to-October step is down

Brevo's valid recommendation coverage moved from 69.7% in July to 70.7% in October, a 1.0-point gain against the baseline that stays within normal variation. The sharper movement is the September-to-October step: coverage fell 2.2 points from 72.9% in September to 70.7% in October, the first downward month in the series after two consecutive gains.

The underlying count tells a different story than the rate. Brevo recorded 366 valid recommendations in July and 337 in October, while the qualified denominator fell from 525 to 477. Raw mention presence rose from 83.2% in July to 85.5% in October (437 to 408 present appearances), and top-three placements edged from 27.4% to 27.7% (144 to 132). Rank-one placements held at 36 in both months.

The distinction to notice: Brevo's rate held above its July level even as its September-to-October step turned down, and its absolute recommendation count fell by 29 while the denominator fell by 48. The rate is being supported by a smaller base.

Highest-priority diagnostic: Which prompt themes account for Brevo's September-to-October step down, and whether the count decline reflects a change in answer composition or the smaller qualified set.

Kit (ConvertKit): The clearest sustained gainer in the category

Kit (ConvertKit)'s valid recommendation coverage rose from 37.1% in July to 44.0% in October, a 6.9-point gain that the benchmark classifies as significant. The series is not straight: coverage dipped to 33.4% in August, jumped to 48.0% in September, then eased to 44.0% in October. Against the immediate prior month, coverage fell 4.0 points from September, which stays within normal variation.

The count trend is more consistent than the rate. Raw mention presence rose from 41.3% in July to 51.8% in October (217 to 247 present appearances), a 10.5-point gain. Top-three placements climbed from 8.0% to 14.1% (42 to 67), and rank-one placements moved from zero in July to 11 in October (0.0% to 2.3%). Valid recommendations rose from 195 to 210.

The distinction to notice: Kit (ConvertKit) is the only tracked brand this month with gains across presence, top-three placement, and rank-one placement simultaneously, yet its October rate step is down from September.

Highest-priority diagnostic: Which surfaces and prompt patterns drove the September spike, and whether the October easing represents partial reversal or normalization around a higher base.

HubSpot Live Chat and HubSpot Service Hub: A roster change, not a competitive outcome

HubSpot Service Hub recorded 50.3% valid recommendation coverage in July and 51.4% in August, then left the tracked set. It appears at 0.0% in October, which the benchmark classifies as a significant decline, but this reflects the roster exit rather than a change in how AI systems answer about the product. HubSpot Live Chat entered in September at 48.4% and recorded 29.8% in October, an 18.6-point decline that the benchmark treats as significant.

The October counts for HubSpot Live Chat: 159 present appearances (33.3% raw mention presence), 76 top-three placements (15.9%), and 30 rank-one placements (6.3%), from 142 valid recommendations out of 477 qualified observations. The gap between HubSpot Live Chat and HubSpot Service Hub moved from negative 50.3 points in July to positive 29.8 points in October, a swing of 80.1 points driven by the roster change.

The distinction to notice: the product line the benchmark tracks for HubSpot changed twice in three months, and the resulting series for HubSpot as a company cannot be read as a single competitive trajectory. The October step down for HubSpot Live Chat is a first-month comparison against an entry month, not a two-month trend.

Highest-priority diagnostic: Which HubSpot product AI surfaces actually recommend for email marketing prompts, and whether the September-to-October Live Chat shift reflects a real answer-composition change or early volatility in a new tracked entity.

Klaviyo: Coverage flat, placement significantly stronger

Klaviyo's valid recommendation coverage moved from 67.4% in July to 67.1% in October, a 0.3-point decline that stays within normal variation and keeps it in third place. The sharper story is underneath: top-three placements rose from 38.5% to 47.0% (202 to 224), an 8.5-point gain, and rank-one placements rose from 8.9% to 13.6% (47 to 65).

Against the immediate prior month, coverage rose 1.8 points from September's 65.3%, reversing a two-month decline. Valid recommendations held at 320 in October against 328 in September.

The distinction to notice: Klaviyo's coverage rate barely moved while its placement quality improved. It is being recommended in roughly the same share of prompts but ranking higher within them.

Highest-priority diagnostic: Which surfaces are driving the rank-one improvement, and whether the gain comes at the expense of Mailchimp, which holds the category's highest rank-one rate.

Mailchimp: Coverage down, but still the category's rank-one leader

Mailchimp's valid recommendation coverage moved from 64.0% in July to 60.2% in October, a 3.8-point decline that stays within normal variation. The series declined for two months to 59.2% in September, then edged up 1.0 point to 60.2% in October.

The presence metric shows the sharper movement: raw mention presence fell from 91.8% in July to 82.2% in October (482 to 392 present appearances), a 9.6-point decline. Yet Mailchimp still records the category's highest rank-one rate, at 21.8% in October (104 rank-one placements), up from 19.1% in July (100). Valid recommendations fell from 336 to 287.

The distinction to notice: Mailchimp appears in fewer answers than it did in July but is ranked first in more of the answers where it appears. Its visibility is narrowing while its position within that narrower visibility is strengthening.

Highest-priority diagnostic: Which prompts Mailchimp no longer appears in, and whether the rank-one gain reflects stronger placement in its remaining prompts or a smaller denominator of appearances.

AWeber: The category's clearest recommendation gap

AWeber's valid recommendation coverage moved from 1.9% in July to 2.7% in October, a 0.8-point gain that stays within normal variation but marks a second consecutive monthly increase. The October count is 13 valid recommendations out of 477 qualified observations, up from 10 in July. Raw mention presence rose from 3.6% to 4.8%, and rank-one placements moved from one to two — roughly 0.2% of qualified observations in July to 0.4% in October.

Brevo records 70.7% on valid recommendation coverage, while AWeber stands at 2.7%. The more important issue is what that gap means for AWeber's recommendation position: even where AWeber is mentioned at all, that mention is converting into a valid, ranked recommendation far less often than it does for the category's leading brands. With only 13 valid recommendations in the entire qualified set, AWeber's commercial visibility in AI-generated answers is effectively marginal, and the two-month uptick is too small, in absolute terms, to indicate a change in that position on its own.

Highest-priority diagnostic: Which prompts, if any, are structurally closed to AWeber even when the brand is mentioned, and what would need to change in AWeber's source and content footprint to move the recommendation count meaningfully above 13.

Campaign Monitor (Marigold): Small base, directional gain

Campaign Monitor (Marigold)'s valid recommendation coverage rose from 1.7% in July to 4.6% in October, a 2.9-point gain the benchmark classifies as significant, though the absolute base is the smallest in the category alongside AWeber. The underlying count held at 22 valid recommendations in October (23 in September). Raw mention presence rose from 5.0% to 7.5% (26 to 36 present appearances), and top-three placements moved from zero to three. The brand records no rank-one recommendations in either month.

The distinction to notice: Campaign Monitor (Marigold)'s 22 valid recommendations and AWeber's 13 are the smallest bases among tracked brands, so a change of a few observations moves the rate several points for either brand.

Highest-priority diagnostic: Which specific prompts surface Campaign Monitor (Marigold) at all, and whether those prompts represent a durable niche segment or isolated query types.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters are covered by October's qualified observations, and which gaps remain?
• How does the absence of pricing and comparison observations affect what the benchmark can explain?

In October 2026, all 477 qualified observations fell into the Brand Recommendation cluster. No qualified observations were recorded in the Pricing & Value or Multi-Brand Comparison clusters. The public benchmark therefore answers which brands AI recommends, but it cannot yet answer how price, value, or head-to-head comparisons shape those recommendations. This limitation is more consequential than usual this month, given the pricing inconsistencies documented above: four of the eight critical or high-severity conflicts concern pricing claims that AI platforms cannot reconcile, and the benchmark's qualified set contains no observations that would let a brand investigate those conflicts through the public metrics alone.

Brand Opportunity Summary

Questions This Section Answers

• Which brands carry the clearest opportunity signals this month, and what diagnostic should each pursue?
• How do AWeber's and Campaign Monitor (Marigold)'s small recommendation counts shape the interpretation of their movement?

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 LLM Authority Index AI Visibility Market Discovery research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movement: brands with low observation counts (AWeber at 13 valid recommendations, Campaign Monitor (Marigold) at 22) can show meaningful percentage movement from very small absolute changes; interpret those rates with appropriate caution.
• Qualified denominator vs raw collection: percentages are calculated against the qualified observation set (477 in October), not the 800 raw prompt-surface observations collected.
• Roster change: HubSpot Service Hub exited the tracked set after August and HubSpot Live Chat entered in September; HubSpot's coverage series reflects this instrument change, not a continuous competitive trajectory.
• Directional analysis: month-over-month movement 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 answer where a brand stands, but they do not reveal which high-intent prompts a brand wins or loses, which competitor takes the recommendation when a brand is not chosen, what attributes AI systems associate with each option, or which external sources shape those answers. These are the questions beneath the coverage numbers and the ones that determine what to do next. This month's pricing inconsistencies make that gap concrete: AI platforms disagree about entry-level pricing and free-tier limits for several tracked brands, and the public benchmark cannot show which sources are producing those disagreements.

A company-specific AI visibility audit maps prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's directional signals into a concrete action plan for the prompts and surfaces that matter most.

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