Everything Curve does,and how it does it.
Curve learns your business, builds a plan to reach and win customers, and prepares the content, campaigns, and fixes. You approve what goes live.
One loop,on every channel.
Read every night, judge what matters, prepare the work, and measure what each yes changed. The last step is the one most tools leave to you.
Connect and understand
Analytics, search, LinkedIn, paid, CRM, your site, and your competitors' sites, read fresh every night. Nothing to export, nothing to paste.
Find what matters
Every signal is judged against your goals and what has worked for you before. Only the moves worth a decision reach you, ranked by impact.
Prepare and approve
Posts written, page fixes drafted, ad changes recommended, all prepared for your review. Approve a post and Curve publishes it; page fixes go to Webflow as drafts or to GitHub as pull requests.
Measure and learn
What you approved goes under watch. When its window closes, Curve compares it with its own baseline, says whether it worked, and takes what it learned into the next night.
Measured onwhat the business feels.
Curve reads channels beside the CRM, so its recommendations are ranked on pipeline, not on the metric each tool likes to report. Then each one you approve is read against its own baseline.
Judged on pipeline, not clicks.
Connect your CRM and every recommendation is weighed on the leads and deals it moves. A post that brought traffic and no pipeline is not a win, and Curve says so.
Pipeline by sourceQ3 · closed and open- Organic search$412K
- LinkedIn$186K
- Paid search$154K
- Referral$61K
Organic search closes 2.7× more than paid. Two more comparison pages ready to approve.
Retargeting · broad is at $184 CPA. Pause and move $400/day to search intent.ApproveSpend that earns its keep
Ad accounts read beside conversions and CRM, so the campaign burning budget is named, not buried in a report.
Published Tue 9:00Top post this quarterWe could have sent a newsletter. Instead we sat down with 12 customers and asked one question: what actually slows you down? Not the product. The setup. So that is what we fixed first.
Written like you, from what worked
Drafts start from your voice and the pages and posts that already performed, not from a blank prompt.
Every surface,over one memory.
Twelve views of the same business, all reading from the accounts you connect. Change something in one and the rest already know.
See every integrationInbox
Recommendations, drafts, and heads-ups, each with the work attached and one button to ship it.
Daily report
What moved against the month before, what Curve is watching, what it learned, and the items it recommends because of them.
Results
Watching holds what went live and is still being read. Completed says what each one changed: improved, no change, worse, or nothing to measure.
Ask Curve
Ask anything in plain words. Answers cite the numbers, pages, and conversations they came from.
Analytics
Traffic, search, LinkedIn, AI search, paid, and pipeline, read together, so a change on one channel explains another.
Knowledge
Brand, products, customers, positioning, and voice, kept current from your site, files, calls, and connected data. Every reading keeps its history, and one click restores the last.
Memory
A timeline of what Curve observed, recommended, and did, so nothing is learned twice and nothing is repeated.
Competitors
Every rival's pricing, pages, ads, and posts on one timeline, re-checked daily. A price change or a new campaign shows up in your Inbox the next morning.
Content
LinkedIn posts and articles in your voice, drafted from what worked, waiting for a yes.
Creatives
Images for your posts, made to your brand kit and kept in one library. Ask Curve to draw a new one or edit the last.
Site fixes
Slow, broken, thin, or unreadable-to-AI pages, fixed as drafts you approve, then shipped to your site or repo.
Paid ads
Google, Meta, Bing, and ChatGPT ads read against pipeline. Wasted spend is flagged with the change to make; Curve reads your ad accounts and never changes them.
Curve whereyou already work.
The same data, the same permissions, the same yes, from the tools your team keeps open all day.
Questions, answered.
Nothing. Every post and page change waits in the Inbox as a draft with the reasoning beside it. Approve a post and Curve publishes it; page fixes go to Webflow as drafts or to GitHub as pull requests. Ad accounts are read, never changed. Archive an item and Curve learns what you did not want.
It freezes a baseline when it makes the recommendation, then reads the same number after you ship: a page's click-through over the 28 days after against the 28 before, a post's first week against your usual post, where a topic ranks a month on. The item sits in Watching until the window closes, then moves to Completed marked improved, no change, or worse. Work with nothing to measure, like a new llms.txt, is marked as that.
Google Analytics, Search Console, Tag Manager, and LinkedIn to start, free. Growth adds your ad accounts (Google, Meta, Bing, and ChatGPT), Salesforce, HubSpot, Attio, PostHog, GitHub, and the Slack app. Keyword demand, competitor tracking, and AI search visibility are built in.
Minutes. Enter your website and answer six short questions; Curve reads your site and your Inbox opens with its first recommendations. From then on it reads your data every night, faster for surfaces you ask it to watch closely.
Yes. Knowledge, memory, and the Inbox belong to the website, not the person, so a founder, a marketing lead, and a specialist work from the same picture, each with their own login.
Yes. From Claude, ChatGPT, and Codex through the MCP server, and from Slack with the Supercurve app. Both read the same data and act with the same permissions you have.