Sisense is a business intelligence platform that powers embedded, composable analytics and AI-driven dashboards for product and data teams.
Its top-ranking pages address audiences across all stages of the buyer journey: from beginner SQL learners to executives seeking advanced data strategies. Paid and organic efforts show a focus on competitive interception, feature-led differentiation, and AI-driven analytics.
In this teardown, you’ll learn how Sisense:
| Attribute | Score (/100%) | What It Reflects |
|---|---|---|
| Decision-Stage Coverage | 45 | Volume and ranking of “vs,” “pricing,” “best [X]” pages |
| AI SERP Readiness | 60 | Presence in ChatGPT/Perplexity, schema use, answer-ready formatting |
| Branded Query Ownership | 55 | How well the brand ranks for all its name variations |
| Topical Authority | 80 | Depth of content cluster coverage (TOFU–BOFU) |
| Technical SEO Health | 58 | Core Web Vitals + crawl efficiency |
| Link Authority | 76 | Referring domain quality, link velocity |
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| Metric | Value |
|---|---|
| Organic Traffic (Monthly) | 35K+ |
| Domain Rating | 77 |
| Backlinks | 73.4K Backlinks |
| Referring Domains | 5.6K |
| High-Intent Keywords | 29 Keywords |
| Informational Keywords | 11.1K Keywords |
| Branded Keywords | 1.5K Keywords |
Sisense drives steady organic visibility with 35K+ monthly visits and a strong DR of 77, backed by a robust backlink profile of 73K links.
However, its keyword mix reveals a heavy tilt toward informational queries with very few high-intent terms, suggesting untapped opportunities to better capture buyers closer to decision-making.
Sisense’s AI visibility strategy goes beyond ranking for generic AI terms, it aligns closely with how modern businesses adopt AI-driven analytics.
Sisense positions itself at the intersection of embedded AI and business intelligence, ranking for high-intent queries like:
| Page | Why It Matters |
|---|---|
| Real-Time Analytics | Targets high-intent users searching for real-time data capabilities. Reinforces Sisense’s value in delivering instant insights for fast decision-making, a core need for modern data teams. |
| SQL Query Order of Operations | Appeals to data analysts and SQL learners by simplifying query logic. Positions Sisense as an educator and trusted resource for SQL best practices. |
| SQL Symbol Cheatsheet | A go-to guide for those learning SQL. By ranking for practical search terms, Sisense builds brand visibility among beginner-to-intermediate analysts. |
| Calculate MTD, QTD, YTD | Provides formulas and methods for calculating time-based metrics, appealing to financial and operations teams. Strengthens Sisense’s role as a business intelligence partner. |
| SaaS Analytics | Educates SaaS businesses on how analytics can drive growth, retention, and performance tracking. Aligns directly with Sisense’s SaaS customer base. |
| Medians in SQL | Helps analysts understand and calculate medians in SQL, showcasing Sisense’s technical expertise and commitment to solving real-world data challenges. |
| Ad Hoc Analysis | Explains the concept and benefits of on-the-fly analysis, reinforcing Sisense as a solution for flexible, self-service analytics. |
| Financial Data Management | Targets finance teams and decision-makers seeking structured financial insights, positioning Sisense as a reliable BI tool for financial operations. |
| KPI Tracking | Attracts business leaders looking to monitor performance metrics effectively. Highlights Sisense’s ability to deliver clear KPI dashboards. |
| Data Maturity | Educates organisations on evolving data capabilities. Establishes Sisense as a strategic advisor for companies seeking to grow in analytics sophistication. |
| How to Calculate Average Sales | Simplifies sales metric calculations, appealing to sales ops teams and SMBs. Brings in practical, beginner-friendly traffic. |
| Data Standardization | Shows how businesses can unify data for consistency, tying directly into Sisense’s strength in data integration and governance. |
| Unified Data Management (UDM) | Targets organisations searching for unified data strategies. Reinforces Sisense as a single-source solution for data management. |
| Data Science vs Data Analytics | Captures high-volume searches comparing these fields. Sisense positions itself as a thought leader helping businesses navigate analytics adoption. |
Sisense strategically uses these top-ranking pages to capture audiences across all stages of the buyer journey, from beginners learning SQL to executives seeking advanced data strategies.
By blending educational resources with solution-driven content, Sisense positions itself as both a trusted advisor and a powerful BI platform for modern organisations.
These keywords represent high-intent searches where users are actively comparing BI tools, exploring analytics solutions, or seeking best practices in data visualization and dashboard design.
| Keyword | Why It Matters |
|---|---|
| sisense trial | Strong bottom-of-funnel keyword. Indicates users are ready to explore Sisense firsthand, showing clear purchase intent. |
| looker vs sisense | High-intent comparison search. Targets decision-makers evaluating BI tools, positioning Sisense directly against a major competitor. |
| sisense vs power bi | Competitive commercial keyword. Captures traffic from businesses weighing Sisense against Power BI, driving consideration-stage visibility. |
| sisense vs halo bi | Niche competitive query. Attracts buyers comparing BI alternatives, allowing Sisense to present its strengths over smaller competitors. |
| sisense vs information builders | Strong intent keyword. Reaches users actively comparing Sisense to another BI solution, reinforcing Sisense’s credibility via peer reviews and comparisons. |
| sisense vs qlik sense | Competitive high-intent search. Positions Sisense directly against Qlik, a top competitor in the BI space. |
| best way to visualize data | Educational yet intent-rich keyword. Appeals to analysts and decision-makers seeking visualization techniques, showcasing Sisense as a solution provider. |
| best way to present data visually | Practical query from professionals seeking data storytelling methods. Builds awareness of Sisense’s visualization strengths. |
| best practices for dashboard design | Tactical search. Attracts designers and data teams looking to create better dashboards, reinforcing Sisense as a thought leader in BI design. |
Sisense is bidding on a mix of competitive, category-defining, and feature-led keywords to capture high-intent buyers, disrupt rival BI platforms, and position itself as a modern analytics leader.
| Keyword | Why It Matters |
|---|---|
| data analysis software | Broad, high-volume category keyword. Ensures Sisense shows up when businesses search for general BI or analytics solutions. |
| data analytics websites | Captures users looking for online analytics tools and solutions, aligning Sisense with modern, web-based BI platforms. |
| looker alternative | Strong competitive intent. Directly targets Looker users seeking alternative BI platforms, positioning Sisense as a viable switch. |
| analytic platform | Category-defining keyword that keeps Sisense visible against generic searches for analytics platforms. |
| embedded BI tools | Feature-led keyword. Attracts software providers and enterprises seeking to embed analytics into their products , a Sisense differentiator. |
| data visualization | Core analytics function keyword. Helps Sisense capture traffic from teams looking for ways to better visualize and present data. |
| online analytics tools | Transactional query. Positions Sisense as a cloud-first, online solution for teams comparing analytics software. |
| data analytics reporting | Taps into demand for reporting solutions. Aligns with Sisense’s strengths in dashboards and reporting automation. |
| augmented reality data visualization | Niche but innovative search. Associates Sisense with cutting-edge visualization techniques and next-gen analytics. |
| looker vs | Competitive keyword. Captures high-intent traffic from buyers directly comparing BI platforms. |
| ai to analyze data | Targets AI-driven analytics searches, positioning Sisense as a forward-looking solution for modern data teams. |
| ai data analytics software | High-commercial intent. Appeals to enterprises looking for AI-powered analytics platforms, strengthening Sisense’s AI positioning. |
| analytic platforms | Reinforces Sisense’s authority in the analytics category by bidding on a broad, high-intent keyword. |
| power bi equivalent | Competitive positioning keyword. Attracts Power BI users looking for alternatives, allowing Sisense to showcase its strengths. |
| websites to make graphs | Feature-driven keyword. Captures users searching for visualization tools, introducing Sisense as a full-scale BI platform. |
| stat maker | Niche but tactical query. Attracts users seeking quick statistical insights, driving awareness for Sisense’s demo offering. |
| what software do data analysts use | Question-based keyword. Positions Sisense as a top answer when analysts search for BI software options. |
| best analytical tools | High-intent, category-level keyword. Puts Sisense in front of buyers researching top BI solutions. |
| microstrategy vs sisense | Direct competitive query. Targets buyers evaluating MicroStrategy vs Sisense, creating a head-to-head comparison opportunity. |
| Metric | Value | Status |
|---|---|---|
| Largest Contentful Paint (LCP) | 2s | Poor |
| Interaction to Next Paint (INP) | 66ms | Good |
| Cumulative Layout Shift (CLS) | 0.09 | Poor |
| Mobile Optimization | Needs Improvement | Fail |
Sisense’s Core Web Vitals show fast interactivity but poor loading, stability, and mobile optimisation, highlighting a need for performance and mobile UX improvements.
If you’re analyzing Seisen, here’s how to learn:
Sisense has built a solid SEO foundation, but there’s room to sharpen both strategy and execution.
Key Observations from Our Lens:
Overall, Sisense has strong authority and brand presence.
With sharper decision-stage targeting, improved technical performance, and more AI thought leadership, it can solidify its position as a leading BI and analytics platform.
No one should have to tolerate bad content.
