Insightly AI Visibility Market Strategy Report - CRM Software

Answer Capsule

Insightly holds 11.71% valid recommendation coverage in the October 2026 CRM Software benchmark, placing it fifth among ten tracked brands. The company is visible in 19.31% of qualified observations but converts that presence into a valid recommendation only about three-fifths of the time, and it reaches the top three in just 3.04% of observations. Its clearest strength is a stable mid-category position with zero negative framing across 89 mentions. Its clearest weakness is that it is present but rarely chosen, with a rank-one rate of 0.87% and an average recommended rank of 5.41. The clearest opportunity is converting its existing presence into top-three placement inside the Brand Recommendation cluster where all 461 qualified observations sit.

Who This Report Is For

This report is written for Insightly's marketing, product marketing, and revenue leadership teams, and for category analysts tracking how AI systems recommend CRM software at the discovery and consideration stage.

Report Card

Executive Summary

Insightly is visible but under-recommended in the October 2026 CRM Software benchmark. The brand appeared in 89 of 461 qualified observations, a raw mention presence rate of 19.31%, but earned a valid recommendation in only 54 of those observations, a valid recommendation coverage rate of 11.71%. That gap between presence and recommendation is the central finding of this report.

The framing around Insightly is clean. Across 89 mentions, the benchmark recorded 63 positive, 26 neutral, and zero negative mentions, producing a net sentiment score of 0.7079. No cautionary or negative framing was detected in the qualified set. The problem is not how Insightly is described when it appears. The problem is how often it fails to appear in the recommendation slot at all.

Placement is the sharper weakness. Insightly reached the top three in 14 observations, a top-three rate of 3.04%, and ranked first in 4 observations, a rank-one rate of 0.87%. Its average recommended rank of 5.41 means that when it does receive rank credit, it typically lands in the middle of the list rather than at the top. Pipedrive, by comparison, holds a 23.21% top-three rate and a 3.04% rank-one rate, and monday.com holds a 12.58% top-three rate.

The strongest platform signal for Insightly is Google AI Overviews, where it recorded a 22.55% valid recommendation coverage rate, a 9.80% top-three rate, and a 1.96% rank-one rate across 102 observations. That is the one surface where Insightly performs closer to the category's upper tier. The weakest platform signal is Gemini, where it recorded a 6.78% valid recommendation coverage rate and a 1.69% rank-one rate across 59 observations.

The clearest gap is structural. All 461 qualified observations in October 2026 fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters are defined in the benchmark but contain no qualified observations in the current public series. Insightly's visibility is therefore measured only at the direct recommendation moment, and that is precisely where its conversion from mention to recommendation is weakest.

The benchmark also shows that the category itself is consolidating around a small number of brands. Pipedrive and monday.com together account for the majority of top-three placements, and the middle of the category, where Insightly sits, is being redistributed. Insightly's position is stable but not advancing: its coverage moved from 11.3% in July 2026 to 11.7% in October 2026, a change of 0.4 points that falls within normal variation.

What Insightly Is Winning

Questions This Section Answers

• What makes Insightly's framing quality a genuine strength in the October 2026 benchmark?
• How much of an advantage does Insightly have on Google AI Overviews compared to its overall coverage?

Insightly's clearest win is framing quality. Across 89 mentions, the benchmark recorded zero negative mentions and a net sentiment score of 0.7079, which places it in the upper half of the tracked set on framing. When AI systems describe Insightly, they do so positively or neutrally, never critically.

Its second win is platform-specific strength on Google AI Overviews. Insightly recorded a 22.55% valid recommendation coverage rate on that surface, well above its 11.71% overall rate, along with a 9.80% top-three rate and a 1.96% rank-one rate. That is the strongest single-platform performance in its profile and suggests the brand's public evidence layer is more retrievable and more recommendable in the AI Overviews environment than elsewhere.

Its third win is stability. Insightly's coverage moved only 0.4 points from the July 2026 baseline to October 2026, from 11.3% to 11.7%. In a month when four brands moved significantly upward and four moved significantly downward against the baseline, Insightly held its position without a material decline.

These are real but modest wins. Insightly does not hold a dominant cluster, does not lead on any platform, and does not show a recommendation pocket large enough to change its category position on its own.

Where Insightly Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Insightly convert only about three-fifths of its AI mentions into valid recommendations?
• Which competitors absorb the top-three placement slots that Insightly is missing?
• What does the lack of qualified observations in Pricing & Value and Multi-Brand Comparison mean for Insightly's visibility picture?

The primary gap is recommendation conversion. Insightly appeared in 89 qualified observations but earned a valid recommendation in only 54. That means roughly 39% of the observations where Insightly was mentioned did not convert into a valid recommendation. The brand is being discussed without being shortlisted.

The secondary gap is top-three placement. Insightly reached the top three in 14 of 461 qualified observations, a rate of 3.04%. Pipedrive reached the top three 107 times, monday.com 58 times, Salesforce Service Cloud 48 times, and Freshdesk 44 times. Insightly's top-three count is roughly one-seventh of Freshdesk's and one-thirteenth of Pipedrive's. The brand is present in the conversation but is not being placed near the front of the list.

The third gap is rank-one placement. Insightly ranked first in 4 observations, a rate of 0.87%. Pipedrive ranked first 14 times, monday.com 16 times, and Salesforce Service Cloud 18 times. Insightly's rank-one rate is below every brand in the top four of the category and roughly one-quarter of monday.com's rate.

The fourth gap is platform inconsistency. Insightly's valid recommendation coverage ranges from 6.78% on Gemini to 22.55% on Google AI Overviews. On Copilot, it recorded a 13.79% coverage rate but a 0.00% top-three rate across 58 observations, meaning it was recommended on that surface but never placed in the top three. On Perplexity, it recorded a 10.13% coverage rate and a 1.27% rank-one rate across 79 observations. The brand's recommendation behavior is uneven across surfaces, which suggests the underlying source and citation patterns differ by platform.

The fifth gap is the absence of qualified observations in the Pricing & Value and Multi-Brand Comparison clusters. The benchmark does not yet measure how Insightly performs when buyers ask about cost or when AI systems compare brands head-to-head. That is a measurement gap, not a performance finding, but it means the current picture captures only one stage of the buyer journey.

Biggest Opportunity

Questions This Section Answers

• Which specific prompts already surface Insightly but fail to place it in the top three?
• How should Insightly prioritize Google AI Overviews versus Copilot and Gemini for placement improvement?

Insightly's biggest opportunity is converting its existing presence into top-three placement inside the Brand Recommendation cluster. The brand already appears in 19.31% of qualified observations, which means the retrieval layer is working. The failure is at the placement layer: only 3.04% of observations place Insightly in the top three, and only 0.87% place it first.

The path runs through the prompts that already surface Insightly but do not rank it. The benchmark's prompt examples include direct recommendation questions such as "What is the best CRM software?" and "What is the most used CRM software?" These are the prompts where Insightly appears but is not placed near the front. Improving placement on those prompts would move the top-three rate without requiring new presence.

The platform to prioritize is Google AI Overviews, where Insightly already performs closest to the category's upper tier. The platform to diagnose is Copilot, where Insightly earns recommendations but never reaches the top three, and Gemini, where its coverage rate is the lowest in its profile.

Competitive Landscape

Questions This Section Answers

• Where does Insightly rank against Pipedrive, monday.com, and Salesforce Service Cloud on top-three and rank-one placement?
• Why is Insightly's average recommended rank of 5.41 worse than brands with similar or lower presence?

Pipedrive and monday.com hold recommendation-stage strength in the CRM Software category, with Pipedrive leading on top-three placement and monday.com leading on rank-one placement. Insightly sits in the middle of the tracked set, visible but rarely placed near the front of the list.

Average recommended rank covers rank-eligible recommendations only.

Insightly ranks fifth on top-three rate and fifth on rank-one rate, but its average recommended rank of 5.41 is the second-worst among brands with rank-eligible recommendations, behind only SugarCRM at 8.19. The table shows a brand that is mentioned often enough to stay in the middle of the category but is placed further down the list than its presence rate would suggest.

Prompt Evidence

Questions This Section Answers

• Which prompts expose Insightly's platform-specific weaknesses on Copilot and Gemini?
• What happened on the Google AI Overviews prompt that made it Insightly's strongest surface?

Google AI Overviews / Brand Recommendation Prompt: "What is the best CRM software?" Result: Insightly recorded its strongest platform performance here, with a 22.55% valid recommendation coverage rate and a 9.80% top-three rate across 102 observations.

Copilot / Brand Recommendation Prompt: "What are examples of CRM software?" Result: Insightly appeared in 15 of 58 observations and earned 8 valid recommendations, but recorded zero top-three placements on this surface.

Gemini / Brand Recommendation Prompt: "What is the most used CRM software?" Result: Insightly recorded its weakest platform coverage at 6.78%, with a single top-three placement and one rank-one placement across 59 observations.

Perplexity / Brand Recommendation Prompt: "What are the top 5 project management software?" Result: Insightly appeared in 19 of 79 observations with 8 valid recommendations, a 10.13% coverage rate, and a 1.27% rank-one rate.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Insightly appears but is not recommended or placed in the top three, and identify which competitors absorb those slots.

Phase 2: Recommendation Readiness Plan Prioritize the Brand Recommendation prompts where Insightly already has presence, and define the placement targets for top-three and rank-one conversion.

Phase 3: Owned Answer Layer Buildout Strengthen the Insightly pages that answer direct recommendation questions, so AI systems have a clear, retrievable reason to place the brand higher in the list.

Phase 4: Citation / Authority Layer Development Build the review-site, comparison-page, and third-party source footprint that AI systems draw on when forming CRM recommendation lists, with emphasis on the surfaces where Insightly's coverage is weakest.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track top-three rate, rank-one rate, and average recommended rank by platform each month to confirm whether placement is improving independently of presence.

Why This Matters

AI presence alone is not enough. Insightly appears in nearly one in five qualified observations, but it converts that presence into a valid recommendation only about three-fifths of the time and reaches the top three in roughly one in thirty-three. A buyer who asks an AI system for the best CRM software may see Insightly mentioned without seeing it recommended, and a mention that does not convert into a shortlist position does not influence the buyer's choice.

The next move is targeted correction of the prompt, page, and citation layers. The prompts are already surfacing Insightly. The pages and sources behind those prompts are not giving AI systems a strong enough reason to place the brand near the front of the list. Fixing placement on the prompts where Insightly already appears is a more direct path to category position than chasing new presence.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why does a sentiment score of 0.7079 matter differently from a raw share-of-voice count?
• How should Insightly's zero negative mentions be interpreted alongside its low recommendation conversion?

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

For Insightly in October 2026: (63 × 1 + 26 × 0 + 0 × -1) / 89 = 0.7079.

This matters because unclassified mention counts are misleading. A brand with 89 mentions could look strong on a share-of-voice chart, but 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 in value. Counting all mentions as wins is bad measurement.

Insightly's score of 0.7079 reflects a clean framing profile: 70.8% of its mentions were positive, 29.2% were neutral, and none were negative. That is a genuine strength. But sentiment describes how Insightly is described when it appears, not how often it is chosen. A brand can have excellent framing and still lose the recommendation slot. Classified sentiment is required before interpreting AI visibility, and it must be read alongside recommendation coverage and placement, not instead of them.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Insightly's AI recommendation visibility in the CRM Software category for October 2026. It is not a client implementation case study and does not describe work performed by CiteWorks Studio.
2. The reporting window is October 2026. The benchmark series began with a July 2026 baseline and includes intermediate measurements in August 2026 and September 2026.
3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six produced qualified observations in October 2026.
4. The October 2026 run began with 800 prompt-surface observations and 590 unique questions. Of those, 800 mentioned a tracked brand or competitor, 628 were relevant, 172 were irrelevant, and 461 qualified for the public benchmark.
5. The competitor universe contains ten tracked brands: Pipedrive, monday.com, Salesforce Service Cloud, Freshdesk, Insightly, SugarCRM, Keap, Zoho Inventory, Microsoft SharePoint, and HubSpot Live Chat.
6. All 461 qualified observations in October 2026 fell into the Brand Recommendation buyer-intent cluster. The Pricing & Value and Multi-Brand Comparison clusters are defined in the benchmark but contain no qualified observations in the current public series.
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 counted when a tracked brand appears in a qualified observation, whether recommended, referenced, or discussed. Insightly recorded 89 mentions in October 2026.
9. A valid recommendation is counted when a brand appears in a recommendation that meets the benchmark's quality rules. Insightly recorded 54 valid recommendations in October 2026.
10. Top-three rate and rank-one rate are calculated against the 461 qualified observations, not against the mention count. Average recommended rank covers rank-eligible recommendations only.
11. The tracked brand set rotated 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.
12. Directional analysis identifies changes worth investigating. It does not establish cause. Month-over-month movement signals where to look next, not why the movement happened. Small-count brands show meaningful directional signals but require caution in interpretation.

See How AI Is Recommending Your Brand

The public benchmark shows where Insightly stands in AI recommendations across the CRM Software category. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and source patterns behind those numbers, and identifies where placement can be improved on the prompts where Insightly already appears.

Production notes (remove before publishing):

1. Em dash compliance: The source draft contained 3 em dashes, all in the Competitive Landscape table where companies had no rank-eligible recommendations (Keap, SugarCRM, HubSpot Live Chat). These are now rendered as "0.00%". If your data pipeline can export an em dash for these cells and you want that display, substitute manually; the current value is a defensible substitute but slightly overstates a strict "N/A" reading.
2. Data gap to flag if the audit team asks: The target company's per-platform mention counts sum to 89 (29 + 15 + 19 + 7 + 8 + 11), which reconciles cleanly with the Core Metrics mention count. Good.
3. Structural note: The Brief's required ordering places Competitive Landscape after Biggest Opportunity and before Prompt Evidence. The source draft already followed this, so no resequencing was needed.
4. QA reconciliation: Microsoft SharePoint shows a 0.43% top-three rate and 0.22% rank-one rate but sorts above Keap and HubSpot Live Chat, which both show 0.22% top-three. Ties are currently broken by rank-one rate. Confirm this matches your intended tiebreak rule.