Keap AI Visibility Market Strategy Report - CRM Software

Answer Capsule

Keap holds a small but real position in AI-generated CRM recommendations, with 7.59% raw mention presence and 4.34% valid recommendation coverage across 461 qualified observations in October 2026. The brand is visible but under-recommended: it appears in AI answers far more often than it earns a shortlist position. Its clearest win is a clean sentiment profile with zero negative mentions, and its clearest weakness is a near-total absence from top-three placements at 0.22%. The clearest opportunity is converting its existing awareness-stage presence into recommendation-stage visibility in the CRM discovery cluster where the benchmark's recommendation activity is concentrated.

Who This Report Is For

This report is for Keap's marketing, demand generation, and product marketing leadership, and for CRM category analysts tracking how AI systems recommend small-business CRM platforms at the discovery stage.

Report Card

Executive Summary

Questions This Section Answers

• How large is the gap between Keap's AI mention presence and its valid recommendation coverage?
• What does Keap's placement and sentiment profile reveal about its overall AI visibility position?

Keap is present in AI CRM recommendations but is not being shortlisted. Across 461 qualified observations in October 2026, Keap recorded 35 mentions, a 7.59% raw mention presence rate, and 20 valid recommendations, a 4.34% valid recommendation coverage rate. The gap between presence and recommendation is the defining feature of Keap's position: the brand is discussed roughly twice as often as it is recommended.

The sentiment profile is clean. Keap recorded 24 positive mentions, 11 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.6857. That places Keap in positive framing territory with no cautionary or negative drag, which is a meaningful baseline for a brand operating at this coverage level.

The strongest cluster is the only qualified cluster in the public benchmark, C01, which captures CRM and adjacent software discovery prompts. Keap's entire October 2026 footprint sits inside this awareness-stage cluster. The benchmark's Pricing and Value and Multi-Brand Comparison clusters produced no qualified observations in October 2026, so Keap's performance in pricing and head-to-head comparison conversations cannot be assessed from this dataset.

The weakest signal is placement. Keap recorded 1 top-three placement out of 461 qualified observations, a top-three rate of 0.22%, and zero rank-one placements. Its average recommended rank of 5.15 reflects the handful of rank-eligible recommendations it did receive, but the volume of those placements is too small to build a shortlist presence on.

The strongest platform signal is Gemini, where Keap recorded 3 mentions and a 5.08% positive visibility rate, though the sample is small. The clearest platform gap is Copilot, where Keap recorded 7 mentions and a 10.34% positive visibility rate but no top-three placements at all. ChatGPT shows a similar pattern: 5 mentions, 2 valid recommendations, and no top-three placements.

The pattern across platforms is consistent. Keap is being mentioned in AI answers about CRM software, and those mentions are framed positively, but the brand is not being placed into the recommendation shortlist that buyers see when they ask which CRM to use. That is the gap this report addresses.

What Keap Is Winning

Questions This Section Answers

• Which platforms show Keap's strongest positive visibility, and how small are those samples?
• What does Keap's sentiment profile say about how AI systems frame the brand when they mention it?

Keap's clearest win is its sentiment profile. With 24 positive mentions, 11 neutral mentions, and zero negative mentions, Keap has no negative framing in the October 2026 dataset. A net sentiment score of 0.6857 is a clean result and indicates that when AI systems do mention Keap, they frame it positively or neutrally rather than as a cautionary example.

Keap also shows a narrow but real recommendation pocket on Gemini. The brand recorded 3 mentions on Gemini with a 5.08% positive visibility rate and 1 valid recommendation. The sample is small, and this should not be overstated, but it is the platform where Keap's mention-to-recommendation ratio is least unfavorable.

On Copilot, Keap recorded 7 mentions and a 10.34% positive visibility rate, the highest positive visibility rate across platforms for the brand. The limitation is that none of those Copilot mentions converted into a top-three placement.

These are modest wins. Keap does not hold a dominant position in any cluster or on any platform in this dataset. The brand's strengths are a clean sentiment baseline and a small number of positive mentions on specific platforms, not recommendation-stage leadership.

Where Keap Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How far behind Pipedrive, monday.com, and Freshdesk is Keap on top-three placements?
• Why is Keap's presence not converting into recommendation credit on ChatGPT, Copilot, Perplexity, and AI Overviews?

Keap's most significant gap is recommendation conversion. The brand appears in 7.59% of qualified observations but earns a valid recommendation in only 4.34%. That means roughly 43% of the observations where Keap appears do not result in a recommendation. The brand is being discussed without being chosen.

The placement gap is sharper still. Keap recorded 1 top-three placement across 461 qualified observations, a rate of 0.22%. For comparison, Pipedrive recorded 107 top-three placements at a 23.21% rate, and monday.com recorded 58 at a 12.58% rate. Even Freshdesk, which declined significantly from its July baseline, recorded 44 top-three placements at a 9.54% rate. Keap's top-three presence is effectively negligible in this benchmark.

The rank-one gap is absolute. Keap recorded zero rank-one placements in October 2026. The brand is not being recommended first in any qualified observation. This is the clearest displacement signal in the dataset: when AI systems form a CRM shortlist, Keap is not at the top of it.

Platform-level gaps reinforce the pattern. On ChatGPT, Keap recorded 5 mentions and 2 valid recommendations but no top-three placements. On Copilot, 7 mentions and 4 valid recommendations but no top-three placements. On Perplexity, 5 mentions and 3 valid recommendations but no top-three placements. On AI Overviews, 6 mentions and 3 valid recommendations but no top-three placements. The brand is present across platforms but is not being placed into the recommendation tier on any of them.

The competitive context matters here. Pipedrive and monday.com hold the top two positions in the category with 44.47% and 39.91% valid recommendation coverage respectively. Salesforce Service Cloud, despite a significant decline, still holds 18.66% coverage. Freshdesk holds 17.79%. Keap's 4.34% coverage places it in the lower tier of the tracked set, alongside SugarCRM at 4.77% and Zoho Inventory at 3.25%.

The gap is not about presence. Keap's 7.59% raw mention presence rate sits below SugarCRM's 10.41% presence, and while Keap's coverage exceeds Zoho Inventory's 3.90% presence, Keap's issue is specifically that its presence is not converting into recommendation credit at the rate its competitors achieve.

Biggest Opportunity

Questions This Section Answers

• Which prompt cluster and platform gap should Keap prioritize to move from mention to recommendation?
• Why does Keap's absence from the top 10 cited domains for CRM matter for recommendation conversion?

Keap's biggest opportunity is converting its existing awareness-stage presence into recommendation-stage visibility within the CRM discovery cluster. The brand is already being mentioned in AI answers about CRM software. Those mentions are framed positively. The missing step is placement.

The benchmark shows that recommendation-shaped answer share rose 18.5 points from July 2026 to October 2026, reaching 49.5%. A larger share of qualified observations are now recommendation-shaped than at any earlier point in the series. This means AI systems are increasingly being asked to recommend CRM software rather than simply describe it. Keap's presence in those answers is not converting into shortlist positions.

The specific opportunity is to move from mention to recommendation in the prompts where Keap already appears. The cluster prompt examples include questions like "What is the best CRM software?" and "What are examples of CRM software?" These are direct recommendation prompts. Keap appears in some of these answers but is not being placed in the top three or at rank one.

The path from reference to recommendation runs through the citation and evidence layer. Keap's own domain does not appear in the top 10 cited domains for the CRM vertical in October 2026. The domains that do appear include youtube.com, google.com, salesforce.com, reddit.com, zapier.com, monday.com, zendesk.com, pipedrive.com, g2.com, and zoho.com. Three tracked brands' own domains appear in the top 10: salesforce.com at rank 3, monday.com at rank 6, and pipedrive.com at rank 8. Keap's domain is not represented.

This suggests that the public evidence layer AI systems are drawing from does not prominently include Keap's own content. Building that layer, through owned content, third-party review presence, and citation-worthy assets, is the clearest path to converting Keap's existing mentions into recommendations.

Competitive Landscape

Questions This Section Answers

• Where does Keap sit in the CRM recommendation standings compared with Pipedrive and monday.com?
• How does Keap's sentiment score compare with its placement metrics against the tracked competitors?

Pipedrive and monday.com hold recommendation-stage strength in the CRM Software category, with Pipedrive leading at 44.47% valid recommendation coverage and monday.com at 39.91%. Keap sits in the lower tier of the tracked set at 4.34% coverage, below Salesforce Service Cloud, Freshdesk, and Insightly, and roughly level with SugarCRM.

Average recommended rank covers rank-eligible recommendations only.

Keap's position in the table reflects a brand with minimal top-three presence and no rank-one placements. Its sentiment score of 0.6857 is competitive with the mid-tier of the category, but its placement metrics place it at the bottom of the tracked set alongside SugarCRM and HubSpot Live Chat. The gap between Keap's sentiment and its placement is the defining feature of its competitive position: the brand is framed positively when mentioned but is not being placed into the recommendation shortlist.

Prompt Evidence

Questions This Section Answers

• Which specific CRM prompts show Keap being mentioned without a top-three placement?
• Did Keap earn valid recommendations across ChatGPT, Copilot, Gemini, and AI Overviews even when it missed the top three?

ChatGPT / Brand Recommendation Prompt: "What is the best CRM software?" Result: Keap was mentioned but not placed in the top three recommendations. The brand received a valid recommendation credit but no top-three placement.

Copilot / Brand Recommendation Prompt: "What are examples of CRM software?" Result: Keap appeared in the response with positive framing but was not included in the top-three recommendation tier. Copilot recorded 7 Keap mentions and 4 valid recommendations but zero top-three placements.

Gemini / Brand Recommendation Prompt: "What are examples of CRM programs?" Result: Keap was mentioned with positive framing. Gemini recorded 3 Keap mentions and 1 valid recommendation, the platform where Keap's mention-to-recommendation ratio was least unfavorable.

AI Overviews / Brand Recommendation Prompt: "What is the most used CRM software?" Result: Keap appeared in the response but was not placed in the top three. AI Overviews recorded 6 Keap mentions and 3 valid recommendations with no top-three placements.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts where Keap appears but is not recommended, and identify which competitors are absorbing the recommendation slots Keap is missing.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where Keap's mention-to-recommendation gap is widest, starting with ChatGPT, Copilot, and AI Overviews where the brand has presence but no top-three placements.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly addresses the CRM discovery prompts where Keap is being mentioned, structured to support recommendation-stage retrieval rather than general brand awareness.

Phase 4: Citation / Authority Layer Development Build the third-party evidence layer that AI systems draw from, including review platform presence, comparison content, and citation-worthy assets that can support Keap's inclusion in recommendation shortlists.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Keap's mention-to-recommendation conversion rate month over month, with specific attention to whether top-three placements begin to appear in the platforms where the brand currently has presence without placement.

Why This Matters

AI presence alone is not enough. Keap is being mentioned in AI answers about CRM software, and those mentions are framed positively, but the brand is not being recommended. When a buyer asks an AI system which CRM to use, Keap is not appearing in the shortlist. That is the gap between visibility and commercial outcome.

The next move is targeted correction of the prompt, page, and citation layers. Keap's existing presence provides a foundation. The brand is already in the consideration set for some prompts. The work is to convert that presence into recommendation credit by building the evidence layer that AI systems use to form shortlists. That means owned content that directly addresses recommendation prompts, third-party sources that support Keap's inclusion in comparison and discovery answers, and a citation footprint that makes the brand easy for AI systems to retrieve and recommend.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why is a net sentiment score of 0.6857 not enough to describe Keap's AI visibility?
• How do Keap's 24 positive and 11 neutral mentions break down relative to its valid recommendations?

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

For Keap in October 2026: (24 × 1 + 11 × 0 + 0 × -1) / 35 = 24 / 35 = 0.6857

This matters because unclassified mention counts are misleading. A brand with 35 mentions could be described as having strong visibility, but that framing collapses positive recommendations, neutral references, and cautionary mentions into a single number. Keap's 35 mentions break down into 24 positive and 11 neutral, with zero negative. That is a clean profile, but it does not tell the full story.

Share of voice is a diagnostic metric, not a business KPI. Keap's 7.59% raw mention presence rate describes how often the brand appears in AI answers. It does not describe how often the brand is recommended. Those are different signals, and the gap between them is where the commercial opportunity sits.

A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Keap's 11 neutral mentions are references, not endorsements. The brand's 24 positive mentions are stronger signals, but only 20 of Keap's total mentions converted into valid recommendations. Counting all mentions as wins would overstate Keap's position.

Classified sentiment is required before interpreting AI visibility. Keap's net sentiment score of 0.6857 is a positive signal, but it should be read alongside the brand's recommendation coverage of 4.34% and top-three rate of 0.22%. A positive sentiment score with minimal recommendation placement means the brand is being framed well when mentioned but is not being chosen.

Sentiment by Platform

Questions This Section Answers

• Which platforms show Keap's strongest positive sentiment, and where does that sentiment fail to convert into top-three placements?
• How does Keap's mention volume and sentiment vary across ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode?

Methodology

1. This report is a benchmark-based analysis of Keap's AI visibility and recommendation performance in the CRM Software category for October 2026. It is not a client implementation case study.
2. The reporting window is October 2026. The benchmark series began in July 2026 and includes monthly measurements for July, August, September, and October 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six platforms produced qualified observations in October 2026.
4. The October 2026 benchmark produced 461 qualified observations from an initial collection of 800 prompt-surface combinations. The qualification process removed 172 irrelevant observations and 167 reserved observations.
5. The competitor universe includes 10 tracked brands: Keap, Pipedrive, monday.com, Salesforce Service Cloud, Freshdesk, Insightly, SugarCRM, Zoho Inventory, Microsoft SharePoint, and HubSpot Live Chat.
6. The public benchmark includes one qualified buyer-intent cluster: Brand Recommendation (C01). The Pricing and Value and Multi-Brand Comparison clusters produced no qualified observations in October 2026.
7. Stage 0 extraction retains the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment and is not automatically proof that the source caused the recommendation.
8. A mention is defined as any appearance of Keap in an AI response, whether recommended, referenced, or discussed. Mentions include positive, neutral, and negative framing.
9. A valid recommendation is defined as an appearance of Keap in a recommendation that meets the benchmark's quality rules. Valid recommendations exclude neutral references, cautionary mentions, and comparison anchors unless the dataset explicitly marks them as valid recommendations.
10. The benchmark does not measure market share, attributable sales, organic-search ranking positions, social media mention volume, or private or sponsored channels. Causality cannot be established from a metric movement alone.
11. The tracked brand set changed between July and August 2026, with Zoho Expense and HubSpot Service Cloud exiting and Zoho Inventory and HubSpot Live Chat entering. Movements tied to that rotation should be read as tracking changes rather than pure performance shifts.
12. Small-count brands, including Keap, show meaningful directional signals but require caution in interpretation given the small number of underlying observations. Keap's 35 mentions and 20 valid recommendations provide a directional read, not a statistically robust measurement.
13. A cluster label conflict was identified in the source data: the strongest cluster is labeled C01 (Best Inventory Management Software Discovery) in the metrics aggregation file, while the public benchmark describes C01 as a Brand Recommendation cluster covering CRM and adjacent software discovery prompts. The public benchmark label is used throughout this report for clarity. The underlying observation set is the same.

See How AI Is Recommending Your Brand

The public benchmark shows where Keap is being mentioned and where it is being recommended. A company-level AI visibility audit maps the specific prompts, platforms, and citation sources that shape those outcomes, and identifies the competitors absorbing the recommendation slots Keap is missing. The audit answers the diagnostic questions in this report with evidence rather than inference.