Count

Count is a collaborative platform for AI-powered analytics and research, designed for work that can't afford to be wrong ^{S1 S21}. It helps teams verify AI-generated answers by breaking them into claims and tracing each to its source, flagging hallucinations and assumptions ^S1. The platform combines an AI workspace with a BI tool, offering live reports, dashboards, and a canvas for collaborative analysis ^{S1 S92}.

• Identity: Count is a collaborative platform for AI-powered analytics and research ^S1.
• Core purpose: It solves the problem of untrusted AI answers by making reasoning chains visible and auditable ^S1.
• Intended users: Teams and individuals who need to verify AI outputs for important decisions ^S21.
• Product scope: It is a web-based platform combining an AI workspace with a BI tool, including a canvas, agent, and reporting features ^{S1 S92}.
• Positioning: Count positions itself as a tool to "check AI's work" and build trust in AI-generated analysis ^{S21 S1}.
• Claimed distinction: It claims to offer real-time collaboration and hallucination detection, unlike typical chatbots or BI tools ^S92.

Count is an AI-powered platform for analytics and research, for the work you can’t afford to get wrong. count.co: an estimated 56,388 total monthly visits and about 5,682 monthly organic visits across 4,032 ranking keywords. Scout crawled 15 pages and measured a technical health score of 99/100.

• Total traffic (modeled): 56,388 monthly visits across all channels.
• Organic search traffic (estimated): 5,682 monthly visits from search.
• Strongest sampled ranking: unnest at position 1.
• Leading page in the collected evidence: https://count.co/sql-resources/bigquery-standard-sql/unnest.
• Closest measured organic competitor: stackoverflow.com, appearing 2 times in the sampled first-page SERPs.
• Technical crawl: 15 pages, health score 99/100.

Website intelligence — Collected evidence

Company identity and positioning

Website intelligence — Scout synthesis

Count positions itself as an AI-powered analytics platform focused on verifiable AI outputs, with the tagline "Don’t trust AI. Check it." W1 The homepage demonstrates a workflow where the AI agent reads a deck, survey, and photo, uses tools like Claude, GitHub, Hex, and Slack, and builds a canvas with a map, charts, and a report, while flagging uncited claims and assumptions W5. The pricing page offers a free tier with limited AI credits and a paid tier with unlimited credits, emphasizing trust and collaboration W25W28W33. The site includes a substantial library of role-specific AI guides (e.g., for product managers) and integration pages for tools like Apollo, Asana, Chargebee, and Customer.io, indicating a focus on connecting to existing data sources W50W147W170W195W219. The evidence suggests Count targets teams that need AI assistance with analytics but require transparency and source verification.

Total website traffic

Domain identity

Website capture

Top organic keywords

Independent Google result page

Query: unnest

Website intelligence — Collected evidence

Prioritized website intelligence pages

Features

Pricing and plans

Integrations and supported platforms

Product and company updates

No supporting public-page evidence was collected for this category.

Website intelligence — Scout synthesis

First-party claims:

• Homepage: https://count.co/ – presents the core value proposition and product demo W1W5.
• Pricing: https://count.co/pricing – details free, paid, and enterprise plans W25W30W39.
• Integrations: https://count.co/integrations – lists data sources, semantic layers, and outputs W121.
• Role-specific AI guides: e.g., /ai/ai-for-product-managers, /ai/ai-prompts-for-product-managers, /ai/best-ai-tools-for-product-managers W49W73W97.
• Integration pages: e.g., /integration/apollo, /integration/asana, /integration/chargebee, /integration/customerio W145W169W193W217.

Scout inference:

• These pages serve as key entry points for organic search, targeting users searching for AI analytics solutions and specific tool integrations.

This analysis created the first position baseline at 2026-10-24T15:22:02.982Z. Movement appears after the next fresh analysis using the same location and language.

Sampled competitors

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

Website intelligence — Scout synthesis

First-party claims:

• The page "10 Best AI Tools for Product Managers" ranks tools like Granola, Figma Make, Linear, and Dovetail, and explicitly excludes general assistants and product analytics tools, noting "Product analytics tools aren't in it either. Answering how the product is doing is the job Count does, and we make Count, so it sits below the list with a note rather than in it." W99W103
• The page compares Claude and ChatGPT for PM use, leaning toward Claude for long reading W96.

Scout inference:

• Count positions itself as a complement to AI assistants like Claude, not a competitor, and differentiates from other analytics tools by focusing on verifiable AI outputs.

Backlink comparison profile

• Domain rating: 59/100
• Backlinks: 39,719
• Referring domains: 4,019
• Dofollow backlinks: 71.0%
• Dofollow referring domains: 73.0%

Collection decision

The Scout search index remains intentionally excluded from automatic Scout analysis. This Scout traffic model profile costs 5 credits (0.5 cents) and is included in the first comparison run so its usefulness can be judged before the recurring collection is finalized.

Website intelligence — Scout synthesis

First-party claims:

• The homepage includes a link to G2 reviews: https://www.g2.com/products/count/reviews W24.
• The integrations page links to documentation on learn.count.co for various database connections W123W125W126W127W129W130W132W133W135.

Scout inference:

• No backlink data is available in the catalog; only outbound links are observed.

AI-assistant referral traffic

• Estimated current generative-AI referral share: 0.0%

Scout traffic model did not return a separate AI-referral trend series for this domain.

Website intelligence — Collected evidence

Site-stated AI capabilities

These are first-party product claims, not independent measurements of AI-search visibility.

Website intelligence — Scout synthesis

First-party claims:

• The homepage demonstrates an AI agent that reads a deck, survey, and photo, uses Claude, GitHub, Hex, and Slack, and builds a canvas with a map, charts, and a report, while flagging uncited claims, assumptions, and model inferences W5.
• The AI agent checks 38 claims in the example W20.
• The page "AI for Product Managers" discusses how AI can mislead without proper context, and provides a table of pitfalls and rules for using Claude with analytics tools W50W57W59W60W61W62W63W64W65W66W67.
• The page "AI Prompts for Product Managers" emphasizes prompts that require evidence, allow the model to say "OPEN QUESTION", and ask for working before conclusions W80W81W82.

Scout inference:

• Count's content is designed to be AI-friendly, with clear headings, structured tables, and evidence-based claims, which may improve visibility in AI-generated search summaries.

Website intelligence — Collected evidence

Website evidence gaps

• customers: no usable public page was collected; verify whether the site publishes this evidence.
• reviews: no usable public page was collected; verify whether the site publishes this evidence.
• changes: no usable public page was collected; verify whether the site publishes this evidence.
• identity: no usable public page was collected; verify whether the site publishes this evidence.
• technical: no usable public page was collected; verify whether the site publishes this evidence.

Website intelligence — Scout synthesis

First-party claims:

• The site offers a free tier with daily AI credit limits and limited models, and a paid tier with unlimited canvases, projects, reports, and automations W28W30W33.
• The integrations page lists many data sources (BigQuery, Snowflake, Databricks, PostgreSQL, MySQL, etc.) and semantic layers (Looker, Count Metrics) W125W126W127W129W130W132W133W135W139W141W143.
• The site has a blog and CountCast video series, e.g., "Reasoning Chains: Don’t trust AI’s answer. Check it." and "The Hallucination Problem" W22.

Scout inference:

• There is an opportunity to create more role-specific AI guides (e.g., for marketing, sales, finance) to capture additional organic traffic, similar to the existing product manager pages.

Independent reviews

Customer proof

Independent mentions

• Look at count.co for a Figma-like approach to databases. We were using it at wor... — Look at count.co for a Figma-like approach to databases. ... We were using it at work (transitioning to Metabase); it's great for exploring and debugging and prototyping but it ends up too much of a tangled spaghetti mess for anything long-term. Would not recommend for user-/other-company-departments-facing reports or dashboards. ... The choice to use Count was made before I joined the company; IIRC they migrated to it from Tableau. ... We wanted to migrate (to Streamlit, back then) to have the
• Safe, flexible analytics at Omnipresent with Count - Count — you want, because Count uses the correct SQL syntax for ... Your logic is never locked within Count like it is in other BI tools.’ Count’s unique ability to collaboratively explore data, build SQL pipelines and easily share to other systems enables
• The choice to use Count was made before I joined the company; IIRC they migrated... / Hacker News — We wanted to migrate (to Streamlit, back then) to have the SQL not live locked in a tool, but inside our git repository; to be able to run tests on the logic etc. But the spaghetti mess was felt too, even if it wasn't the main reason to switch.
• Demystifying dbt models at scale - Count — about his experiences and challenges managing a large-scale data stack that sources data from over ... He and Mico break down how the Count canvas has helped his team build a truly transparent data pipeline
• Bye-bye notebooks. Hello, canvas. - Count — The canvas is a shared space where data analysts and their stakeholders collaborate with data. This sounds simple enough ... but to do this fully has required taking a sledgehammer to the normal definition of what a data tool is. The canvas combines the

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

Not found on the collected pages: contact and support, uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

Not found in the collected public sources: public roadmap, changelog or release notes, status page, separate help center or knowledge base.

Not measurable: rdap: no RDAP server published for .co; rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

Scout — Bounded technical crawl

• Pages crawled: 15 of 15 maximum
• Technical health: 99/100
• Critical issues: 0
• Warnings: 1
• Notices: 2

Issues

Crawled pages

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

Modeled acquisition channels

First-party connections

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

The collected pages do not mention specific competitors by name, but they compare Count to chatbots and BI tools generically ^{S21 S92}. Evidence gaps include lack of detailed customer counts, specific integration partners beyond those listed, and no information on uptime or performance metrics. Pricing details for Enterprise are not public ^S92.

This report is based on 14 collected pages from count.co, including the homepage, pricing, integrations, blog posts, and webinar pages. The evidence catalog includes 15 static requests and 8 rendered pages. External proof search was performed but no additional verification was completed. Limitations include potential missing pages (14 of 15 collected) and the absence of first-party customer reviews beyond those listed.

• Official Websitehttps://count.co/Verified
• Official Websitehttps://count.co/what-is-countVerified
• Pricing Pagehttps://count.co/pricingVerified
• Official Websitehttps://count.co/blog/new-context-featuresVerified
• Official Websitehttps://count.co/blog/playbook-driving-value-through-product-experimentationVerified
• Official Websitehttps://count.co/blog/product-improvement-cycleVerified
• Official Websitehttps://count.co/blog/too-good-to-go-gets-product-analytics-done-3x-faster-with-countVerified
• Official Websitehttps://count.co/video/bliss-product-15Verified
• Official Websitehttps://count.co/video/bliss-product-30Verified
• Official Websitehttps://count.co/video/how-intruder-uses-product-metrics-to-shape-high-impact-okrVerified
• Official Websitehttps://count.co/video/problem-solving-in-product-analyticsVerified
• Official Websitehttps://count.co/webinar/count-your-product-yourselfVerified
• Documentationhttps://count.co/integrationsVerified
• Documentationhttps://count.co/blog/introducing-api-mcpVerified
• Articlehttps://news.ycombinator.com/item?id=46939729Verified
• Review Sitehttps://ai.g2.com/product/countVerified
• Articlehttps://www.casestudies.com/company/count-co/case-study/a-place-to-think-together-count-at-otriumVerified
• Articlehttps://count.co/blog/safe-flexible-analytics-at-omnipresent-with-countVerified
• Articlehttps://news.ycombinator.com/item?id=46943511Verified
• Review Sitehttps://www.modern-datatools.com/tools/countVerified
• Review Sitehttps://www.featuredcustomers.com/vendor/count-coVerified
• Articlehttps://count.co/blog/accenture-customer-spotlightVerified
• Articlehttps://count.co/blog/bye-bye-notebooks-hello-canvasVerified