Insightly AI Market Strategy Report - CRM Software

Answer Capsule

Insightly holds a mid-tier presence in AI-generated CRM software recommendations but converts that visibility into recommendation power at a low rate. The September 2026 benchmark shows Insightly present in 20.65% of qualified observations, yet it earns valid recommendation coverage of only 8.59%, with no rank-one placements and a top-three rate of 1.64%. The clearest weakness is the gap between raw mention presence and recommendation conversion, while the clearest opportunity lies in strengthening the evidence layer that moves Insightly from being named to being recommended.

Who This Report Is For

This report is for CRM software marketing, demand generation, and brand strategy leaders who need to understand how AI systems currently frame and recommend Insightly in buyer discovery conversations.

Report Card

Executive Summary

Insightly appears in AI-generated answers about CRM software at a meaningful rate, but it is rarely the brand AI systems choose to recommend. The September 2026 LLM Authority Index benchmark shows Insightly present in 101 of 489 qualified observations, a raw mention presence rate of 20.65%. That presence converts to only 42 valid recommendations, or 8.59% valid recommendation coverage, meaning fewer than half of the conversations in which Insightly appears actually result in a recommendation.

The sentiment picture is moderately positive. Insightly recorded 51 positive mentions, 50 neutral mentions, and no negative mentions, producing a net sentiment score of 0.505. The absence of negative framing is a genuine strength, but the high share of neutral mentions signals that AI systems frequently reference Insightly as context rather than as a recommended option.

Insightly's strongest cluster is the Brand Recommendation class, which captures direct discovery prompts asking which CRM product to use. This is also the only cluster with qualified observations in the current public series. The weakest signal is recommendation placement: Insightly holds a top-three rate of 1.64%, a rank-one rate of 0.0%, and an average recommended rank of 5.56 when it does receive rank-eligible recommendation credit.

Across platforms, Insightly shows its strongest recommendation behavior on Google AI Overviews, where it reaches 21.24% valid recommendation coverage, and its weakest on ChatGPT and Copilot, where it is present but rarely recommended in top positions. The clearest platform gap is the absence of any rank-one placement across all six tracked platforms.

What Insightly Is Winning

Questions This Section Answers

• What evidence-backed strengths does Insightly hold in AI-generated CRM recommendations?
• Where does Insightly's strongest recommendation pocket exist and what explains it?

Insightly's clearest evidence-backed win is the absence of negative framing. Across 101 mentions in the September 2026 benchmark, Insightly recorded zero negative mentions. That is a clean public evidence layer that does not carry cautionary or warning language.

A second win is the Google AI Overviews pocket. On that platform, Insightly reaches 21.24% valid recommendation coverage, more than double its overall rate of 8.59%. The platform also accounts for 24 of Insightly's 42 total valid recommendations, making it the single largest source of recommendation credit. This suggests a narrow but meaningful recommendation pocket exists on AI Overviews that other platforms do not yet replicate.

Insightly also shows a moderately positive sentiment profile. The 0.505 net sentiment score reflects more positive than neutral framing and no negative framing, which provides a foundation the brand can build on without needing to repair damaged perception.

Where Insightly Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How large is the gap between Insightly's raw AI mention presence and its valid recommendation coverage?
• Which platforms show the weakest conversion of Insightly mentions into recommendations?
• How does Insightly's placement weakness compare with the category leaders?

The dominant gap is the conversion of presence into recommendation. Insightly appears in 20.65% of qualified observations but is recommended in only 8.59%. That means the brand is named in AI answers more than twice as often as it is actually recommended. The pattern suggests AI systems recognize Insightly as a relevant CRM option but do not consistently select it for shortlists.

Placement weakness compounds the conversion problem. Insightly holds a top-three rate of 1.64% and a rank-one rate of 0.0%. When the brand does receive recommendation credit, its average rank is 5.56, placing it in the lower half of typical recommendation lists. Competitors such as Salesforce Service Cloud hold a rank-one rate of 10.43%, and even Pipedrive, the category leader, reaches 2.66%. Insightly is the only tracked brand in the middle tier with no rank-one placements at all.

The platform distribution shows where the gap is most acute. On ChatGPT, Insightly appears in 16.07% of observations but earns only 5.36% valid recommendation coverage. On Copilot, the brand appears in 30.51% of observations but earns only 5.08% coverage. Both platforms mention Insightly frequently yet recommend it rarely, a pattern consistent with reference-level visibility rather than shortlist eligibility.

Insightly also trails the category leaders by a wide margin. Pipedrive holds 41.51% valid recommendation coverage, and monday.com holds 37.42%. Insightly's 8.59% places it sixth among the ten tracked brands, behind Zoho Inventory at 9.20% and ahead of Keap at 4.50%.

Biggest Opportunity

Questions This Section Answers

• Where is Insightly's largest structural inefficiency between AI presence and recommendation?
• What type of evidence layer would help AI systems move Insightly from neutral reference to active recommendation?

The clearest opportunity for Insightly is converting its existing neutral mention base into valid recommendations on ChatGPT and Copilot. These two platforms account for a substantial share of Insightly's raw presence, 16.07% and 30.51% respectively, yet they convert that presence into recommendations at rates of 5.36% and 5.08%. The gap between presence and recommendation on these platforms is the largest structural inefficiency in Insightly's current AI visibility profile.

The path forward is not broader visibility. Insightly already appears in enough AI answers to be recognized. The need is to shift the framing from neutral reference to active recommendation by strengthening the public evidence layer that AI systems draw on when constructing shortlists. Comparison-oriented content, third-party validation, and use-case specific authority signals are the types of source material that help AI systems move a brand from being mentioned to being selected.

Competitive Landscape

Questions This Section Answers

• Where does Insightly rank among tracked CRM brands by top-three recommendation rate?
• What separates the category leaders from the middle and lower tiers in this benchmark?

Pipedrive and monday.com hold decisive recommendation-stage strength in the CRM Software category, with Salesforce Service Cloud in third. Insightly sits in the middle tier, present in AI answers but converting that presence into recommendation credit at a rate well below the leaders.

Average recommended rank covers rank-eligible recommendations only.

The table shows Insightly positioned sixth by top-three rate, with a rank-one rate of zero and an average recommended rank of 5.56. The brands above it all hold higher top-three rates and most hold at least some rank-one placements. The brands immediately below Insightly, Keap and SugarCRM, show similar structural weakness, which suggests the lower tier of the category is characterized by presence without recommendation conversion.

Prompt Evidence

Questions This Section Answers

• What do real AI responses show about how Insightly is framed across different platforms?
• Which prompt contexts produce recommendation credit versus reference-level visibility for Insightly?

Google AI Overviews / Brand Recommendation Prompt: "What is the best CRM software?" Result: Insightly appears in a recommendation context and earns valid recommendation credit, though not in a top-three position.

ChatGPT / Brand Recommendation Prompt: "What are examples of CRM software?" Result: Insightly is mentioned as an example of a CRM product but is not recommended as a leading option, consistent with reference-level visibility.

Copilot / Brand Recommendation Prompt: "What are the main tools of project management?" Result: Insightly appears in the answer but receives no rank-eligible recommendation credit, showing presence without shortlist inclusion.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Insightly is mentioned but not recommended, identifying which competitors capture the recommendation slots Insightly loses.

Phase 2: Recommendation Readiness Plan Prioritize the ChatGPT and Copilot prompt clusters where the presence-to-recommendation gap is widest, since those platforms offer the clearest conversion upside.

Phase 3: Owned Answer Layer Buildout Develop comparison-ready and use-case specific content that gives AI systems a clear basis for recommending Insightly rather than listing it as context.

Phase 4: Citation / Authority Layer Development Strengthen the third-party and independent source footprint that AI systems cite when constructing CRM shortlists, focusing on sources that already surface Insightly.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether the neutral mention base shifts toward valid recommendations and whether any rank-one placements emerge on the six measured platforms.

Why This Matters

Questions This Section Answers

• Why does being named in AI answers fall short of being recommended for CRM buying decisions?
• What is the central strategic issue the presence-to-recommendation gap creates for Insightly?

AI systems are becoming the first filter in CRM software selection. When a buyer asks which CRM to use, the brands that appear in the answer shape the consideration set before the buyer ever visits a vendor website. Insightly is currently present in that conversation but is not winning the recommendation moment.

Presence alone is not enough. The benchmark shows that being named in an AI answer and being recommended are different outcomes, and Insightly's gap between the two is the central strategic issue. The next move is targeted correction of the prompt, page, and citation layers that determine whether AI systems treat Insightly as a reference point or as a shortlist candidate.

Core Metrics

Sentiment Score

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

For Insightly, the calculation is (51 × 1 + 50 × 0 + 0 × -1) / 101, producing a net sentiment score of 0.5050.

This score matters because unclassified mention counts are misleading. A brand can appear in hundreds of AI answers and still hold no recommendation power if those mentions are neutral references rather than positive recommendations. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it distinguishes between brands that are recommended and brands that are merely named.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Insightly's AI visibility and recommendation behavior in the CRM Software category, produced from the LLM Authority Index AI Market Discovery Index and CiteWorks Studio interpretation of that data.
2. The reporting window is September 2026, with comparison references to the July 2026 baseline where relevant.
3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The analysis is based on 489 qualified benchmark observations from 800 source prompt-surface observations, with 599 unique questions in the September 2026 run.
5. The competitor universe includes ten tracked brands: Zoho Inventory, Freshdesk, HubSpot Live Chat, Insightly, Keap, Microsoft SharePoint, monday.com, Pipedrive, Salesforce Service Cloud, and SugarCRM.
6. The public benchmark measures the Brand Recommendation buyer-intent class, which captures discovery and consideration behavior. No qualified observations exist in the Pricing & Value or Multi-Brand Comparison classes.
7. Stage 0 extraction retained prompt-level observations including query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any qualified observation in which the brand appears, whether recommended, mentioned, or discussed.
9. A valid recommendation is defined as a mention in a recommendation context that meets the benchmark's quality criteria, including rank-eligible placement where applicable.
10. Limitations: the tracked brand set changed between July and August 2026, with Zoho Expense and HubSpot Service Hub 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. Small-count brands require caution in interpretation. 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 Insightly stands in AI-generated CRM recommendations, but a company-level audit can reveal which high-intent prompts the brand is winning or losing, which competitors capture displaced recommendations, and which external sources shape AI answers. A company-specific AI visibility audit maps those patterns into a prioritized strategy with evidence rather than inference.