How AI Search Is Recommending Live Chat Software: Monthly Trends

Executive Summary

Tidio remains the category leader in Live Chat Software, holding 67.7% valid recommendation coverage in October 2026 against 67.9% in July 2026, a 0.2-point decline the benchmark classifies as stable. tawk.to holds second position at 60.2%, down from 63.0% at baseline, keeping the gap to the leader at 7.5 points. Leadership at the top of the category did not change this month.

The strongest upward mover this month is LiveChat (Text S.A., formerly LiveChat Software S.A.), whose valid recommendation coverage rose from 11.2% in July 2026 to 44.4% in October 2026, a 33.2-point gain the benchmark classifies as significant. That move continued from a volatile path: the brand spiked to 40.2% in August 2026, pulled back to 23.3% in September 2026, then reached 44.4% in October 2026, a 21.1-point gain from the prior month. Its top-3 rate reached 38.2% (from 7.7% at baseline) and its rank-one rate reached 23.5% (from 4.3%), both significant gains.

Zendesk Chat posted the largest decline from baseline, down 6.6 points from 45.6% to 39.0%, in a third consecutive month of decline. That movement is classified as a watch item rather than a significant decline: three consecutive monthly downs, with the cumulative change still within normal variation.

Every other tracked brand moved within the range the benchmark classifies as normal month-to-month variation. LiveChat's gain is the only movement the benchmark's series-based check classifies as significant this period. The category-level change in October comes from that single significant riser plus several smaller movements, not from a shift at the top of the ranking.

Each monthly run begins with 800 prompt-surface observations (607 unique questions in July 2026, 626 in August 2026, 580 in September 2026, 595 in October 2026) across the benchmark's defined AI/search surface universe. All 800 mentioned a tracked brand or competitor in each month; 446 were relevant and 354 were irrelevant in July 2026, 478 were relevant and 322 were irrelevant in August 2026, 520 were relevant and 280 were irrelevant in September 2026, and 485 were relevant and 315 were irrelevant in October 2026. The public metrics use the 349 qualified observations in July 2026, 371 in August 2026, 408 in September 2026, and 374 in October 2026 that survive both qualification stages.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• What pricing conflicts did AI platforms report for Intercom?
• How did platforms disagree about Drift's availability?

Five critical or high-severity factual inconsistencies were detected across three AI platforms: ChatGPT, Copilot, and Gemini. Each inconsistency represents a case where two platforms gave a buyer materially conflicting information in response to the same question.

Intercom

Four high-severity pricing inconsistencies were detected for Intercom, spanning ChatGPT, Copilot, and Gemini.

When asked "What is the best LiveChat widget for website?", Gemini stated Intercom's starting price is around $74+/mo, while Copilot stated $39/mo. Gemini cited sources including a Kayako blog post reviewing live chat tools and a Herothemes roundup of chat widgets. Copilot cited a Zipchat AI comparison of chat widgets and an EasyChatDesk list, with EasyChatDesk listed among the flagged sources carrying the $39/seat/month figure at high confidence.

When asked "What is the best chat integration for website?", ChatGPT stated Intercom's price is $29/seat/month plus $0.99 per Fin outcome, citing Intercom's own help documentation for the Fin AI Agent. Copilot stated From ~$39/month, citing a Technova Partners buyer's guide, a Zipdo roundup, and a Gitnux comparison, with the Technova Partners page flagged as carrying the $39/seat/month figure at high confidence.

When asked "What is the best chat integration for website?", Gemini stated Intercom starts around $39–$74+/month depending on volume and features, citing a SupportBee review and a Herothemes roundup. Copilot stated From ~$39/month, citing the same Technova Partners page flagged on the $39/seat/month claim.

When asked "What is the best chat integration for website?", Gemini stated $39–$74+/month while ChatGPT stated $29/seat/month plus $0.99 per Fin outcome, citing Intercom's own help documentation. Responses differed on which price band a prospective buyer should budget against.

Drift

One high-severity availability inconsistency was detected for Drift, spanning Copilot and Gemini.

When asked "Who competes with intercom?", Gemini described Drift (by Salesloft) as an active competitor designed for sales-driven B2B enterprise teams, citing a Cosupport AI article and a Decagon alternatives roundup. Copilot stated that Drift is sunsetting in 2026 and may exit the market, citing a Help Scout alternatives post and a Zapier alternatives post. A ToolChase page was flagged as carrying the sunsetting claim at high confidence, stating that Drift was sunset by Salesloft in March 2026 and is kept in the article for reference rather than as a live recommendation. The two platforms are describing materially different statuses for the same product.

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.

These stages define the denominator used for every brand-level percentage that follows; the qualified benchmark observations row is the base for all coverage, presence, and placement rates in this report. August 2026 fell between these two months with 371 qualified observations, and September 2026 with 408.

Benchmark-Level Metrics

The qualified observation count moved through 349 in July 2026, 371 in August 2026, 408 in September 2026, then 374 in October 2026. The recommendation-shaped answer share climbed to 63.9% in October from 47.8% in September, a 16.1-point rise that reversed the flat readings of the prior two months. The valid recommendation shortlist share reached 80.2%, its highest point in the series, meaning a larger proportion of the qualified set contained usable recommendation signals.

AI Recommendation Trend

Questions This Section Answers

• Who leads the live chat software category in AI recommendations this month?
• How did LiveChat's coverage gain reshape the positions below the leaders?
• Which brands' movements were classified as significant versus normal variation?

Leadership holds while LiveChat consolidates into the upper mid-field

The top of the category held firm in October 2026, with Tidio and tawk.to retaining their positions. LiveChat's climb to 44.4% moved the brand from outside the leading pack into a cluster with Intercom, HubSpot Live Chat, and Crisp, reshaping the spacing between third and seventh positions.

The only movement the benchmark's series-based check classifies as significant this period is LiveChat's 33.2-point coverage gain from baseline; every other brand's movement falls within its normal range. The category-level change in October comes from that single significant riser plus several smaller movements rather than from any single unstable shift elsewhere in the field.

What Changed This Month

Questions This Section Answers

• Why is LiveChat's 33.2-point rise classified as the only significant mover this period?
• What does Zendesk Chat's three-month decline pattern look like across coverage and presence?
• How are Crisp and HubSpot Live Chat winning more top-3 placements?

LiveChat (Text S.A., formerly LiveChat Software S.A.): Significant Riser, Now in a New Positional Cluster

LiveChat's valid recommendation coverage rose from 11.2% in July 2026 to 44.4% in October 2026, a 33.2-point gain the benchmark's series-based check classifies as significant. The prior month comparison is equally sharp: coverage rose 21.1 points from 23.3% in September 2026 to 44.4% in October 2026, also significant.

The brand's path across the series was not linear. It spiked to 40.2% in August 2026, pulled back to 23.3% in September 2026, then returned to 44.4% in October 2026. The largest single-month move in the series was 29.0 points, and the October level now sits above the August peak.

The supporting metrics moved with the baseline-to-current story. Raw mention presence rose from 18.1% in July 2026 to 56.1% in October 2026, a significant 38.0-point gain. The recommended top-3 rate climbed from 7.7% to 38.2, up 30.5 points and significant, while the rank-one rate rose from 4.3% to 23.5%, up 19.2 points and significant. In absolute terms, valid recommendations grew from 39 in July 2026 to 166 in October 2026, with rank-one placements rising from 15 to 88.

LiveChat's coverage moved from the bottom third of the field to a cluster with Intercom, HubSpot Live Chat, and Crisp, while Tidio and tawk.to held their positions above it. The benchmark records the size and direction of this change; it cannot establish what drove the September-to-October acceleration or the August spike-and-pullback pattern.

Highest-priority diagnostic: Which prompt categories and which surfaces carried the October increase, and whether the brand is now being recommended in the same prompts where the leaders appear.

Zendesk Chat: Third Consecutive Monthly Decline

Zendesk Chat's valid recommendation coverage fell from 45.6% in July 2026 to 39.0% in October 2026, down 6.6 points. The prior month comparison is also down: 42.6% in September 2026 to 39.0% in October 2026, a 3.6-point decline. This is the third consecutive month of decline, which the benchmark flags as a watch item even though the cumulative change from baseline remains within normal variation.

Raw mention presence fell from 61.6% in July 2026 to 51.6% in October 2026, down 10.0 points and significant. The top-3 rate moved up from 17.5% to 19.2%, and the rank-one rate held nearly flat near 3.2%, essentially matching its baseline level. In absolute terms, valid recommendations fell from 159 in July 2026 to 146 in October 2026 even as the qualified observation count grew from 349 to 374.

Zendesk Chat's coverage decline comes alongside a significant drop in raw mention presence, meaning the brand is appearing in fewer answers overall, while its placement within those answers held roughly steady. The pattern of presence falling faster than placement is the distinguishing signal here.

Highest-priority diagnostic: Which prompts that previously surfaced Zendesk Chat no longer do, and whether the same prompts now surface LiveChat or another mid-field brand.

Crisp and HubSpot Live Chat: Placement Gains That Outpace Coverage

Crisp's valid recommendation coverage rose from 33.2% in July 2026 to 38.8% in October 2026, up 5.6 points, within the benchmark's stable range. The prior month comparison shows a 2.3-point gain from 36.5% in September 2026. The more notable signals sit in the supporting metrics: raw mention presence rose from 37.5% to 46.5%, a significant 9.0-point gain, and the top-3 rate rose from 9.5% to 20.9%, a significant 11.4-point gain. The rank-one rate moved from 0.6% to 1.3%. In absolute terms, valid recommendations rose from 116 in July 2026 to 145 in October 2026.

HubSpot Live Chat's coverage moved from 42.4% in July 2026 to 44.6% in October 2026, up 2.2 points, stable. The prior month gain was 4.2 points from 40.4% in September 2026, the largest single-month move in its series. Its top-3 rate rose from 9.5% to 22.5%, a significant 13.0-point gain, while raw mention presence rose 4.7 points to 55.4%. Its rank-one rate rose from 0.9% to 1.6%. In absolute terms, valid recommendations rose from 148 in July 2026 to 167 in October 2026.

Both brands are winning a larger share of top-3 positions in the answers where they appear, and Crisp's significant presence gain means it is being surfaced in more answers to begin with. The two patterns point to different underlying questions: for HubSpot Live Chat, placement quality is improving within roughly stable visibility; for Crisp, visibility itself is expanding.

Highest-priority diagnostic: For Crisp, which surfaces carried the significant presence gain; for HubSpot Live Chat, which prompts converted additional mentions into top-3 placements.

Intercom and tawk.to: Stable Coverage, Divergent Underlying Signals

tawk.to's valid recommendation coverage moved from 63.0% in July 2026 to 60.2% in October 2026, down 2.8 points, stable, with a second consecutive monthly decline from 61.3% in September 2026. Raw mention presence fell slightly from 69.0% to 67.9%. Its top-3 rate and rank-one rate both moved up: 41.3% to 47.6% and 18.6% to 23.5% respectively, neither classified as significant. In absolute terms, valid recommendations moved from 220 in July 2026 to 225 in October 2026.

Intercom's coverage held nearly flat at 45.5% in October 2026 versus 45.3% in July 2026, up 0.2 points, though the prior month comparison is down 0.8 points from 46.3% in September 2026. Raw mention presence fell from 64.8% to 60.4%. Its top-3 rate rose from 22.1% to 33.7%, a significant 11.6-point gain, and its rank-one rate rose from 6.3% to 9.9%. In absolute terms, valid recommendations rose from 158 in July 2026 to 170 in October 2026.

tawk.to remains a clear second to Tidio while winning a larger share of top-3 and rank-one placements than at baseline, and Intercom is converting a smaller visible footprint into more high placements. Both point to placement quality improving while coverage holds or drifts.

Highest-priority diagnostic: For tawk.to, whether the placement gains are concentrated on one or two surfaces; for Intercom, which prompts lost raw presence across the series.

Drift, Olark, and LivePerson: Low-Count Caveats

Drift's coverage moved from 6.6% in July 2026 to 6.2% in October 2026, down 0.4 points, in a second consecutive month of small declines within normal variation. In absolute terms, its valid recommendation count was 23 in October 2026, versus 23 in July 2026.

Olark's coverage moved from 6.0% in July 2026 to 3.7% in October 2026, down 2.3 points, after a 0.5-point recovery from September 2026. Raw mention presence fell from 8.6% to 4.8%, a significant 3.8-point decline. Its absolute valid recommendation count was 14 in October 2026, versus 21 in July 2026.

LivePerson's coverage moved from 1.1% in July 2026 to 0.3% in October 2026, down 0.8 points, in a second consecutive month of declines within normal variation. Its absolute valid recommendation count was 1 in October 2026, versus 4 in July 2026, and its total present count fell from 7 to 2 across the series.

All three brands operate on counts small enough that percentage swings should be read with caution: one additional recommendation moves these rates by several points. The significant presence decline for Olark is the one signal worth inspecting closely, since it reflects fewer answers mentioning the brand at all.

Highest-priority diagnostic: Which prompts still surface each brand, and whether the overlap between those prompts is narrowing.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters did the October benchmark actually capture?
• What can't the current data say about pricing and head-to-head comparison questions?

In October 2026, all 374 qualified observations fell into the discovery and consideration cluster. The benchmark run captured no qualified pricing or value observations, and no multi-brand comparison observations. This means the public metrics describe which brands AI systems recommend during initial discovery, but they cannot yet describe how those systems handle price sensitivity or direct competitive comparison.

The practical implication is that the benchmark measures first-position visibility and recommendation presence, not the full buyer journey. A brand could perform strongly in discovery prompts while faring differently in later-stage comparison questions. The current data cannot distinguish between those scenarios, which is exactly the kind of question a company-level analysis can answer. The pricing inconsistencies reported in the alerts above are one demonstration of what later-stage questions surface: two platforms can state materially different prices for the same product when the buyer's question triggers pricing content.

Brand Opportunity Summary

Questions This Section Answers

• Which brand signals warrant the most urgent investigation this month?
• What should a company-level analysis explain that the public benchmark cannot?

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. CiteWorks Studio is the interpretation, strategy, and remediation partner for this analysis.

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

Report-Specific Interpretation Notes

• Small-count movements: brands with low absolute counts (LivePerson at 1 valid recommendation in October 2026, Olark at 14, Drift at 23) can show large percentage swings from small changes in raw numbers. Read their movements with appropriate caution.
• Qualified denominator versus raw collection: all percentage figures use the 374 qualified observations in October 2026, not the 800 prompts collected. The funnel from collection to qualification is disclosed in Benchmark Context.
• Directional analysis: month-over-month movement identifies changes worth investigating, but it does not by itself establish the cause of those changes. LiveChat's August spike, September pullback, and October acceleration across the series all require investigation.
• LiveChat is the only brand the benchmark's series-based check classifies as a significant riser this period; its presence, top-3, and rank-one metrics all moved significantly above baseline.
• Zendesk Chat is flagged as a watch item on three consecutive monthly declines even though the cumulative change remains inside normal variation.
• Pricing inconsistencies: the alerts above identify specific cases where two platforms stated materially different prices or availability status for the same product. These sit outside the coverage and placement metrics in this report but affect how a buyer may perceive the brands involved.

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 describe which brands AI systems recommend, but they do not explain why those recommendations form. Beneath LiveChat's 33.2-point baseline gain are questions about which high-intent prompts it now wins, why its August spike did not hold but its October level did, which brand takes the recommendation when it loses, what attributes AI systems associate with each option, and which external sources shape those answers. The same questions apply to every brand in the category, whether stable or moving, and the pricing and availability inconsistencies reported for Intercom and Drift show how much variation a company-level view can surface.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. Rather than reacting to aggregate movements, the audit identifies the specific levers that influence where and how AI systems recommend a brand.

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