Everything Curve does, and how it does it.
Supercurve connects your stack, reads every channel overnight, and wakes you up to ranked recommendations with the work attached. This is what is inside.
No credit card required.
Read. Decide. Do. Measure.
The same loop, every night, on every connected channel. The last step is the one most tools leave to you.
Read
Analytics, search, LinkedIn, paid, CRM, your site, and your competitors' sites, pulled fresh every night. Nothing to export, nothing to paste.
Decide
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.
Do
Posts written, pages fixed, budget moves proposed, all prepared before you wake up. You approve; Curve ships it.
Measure
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.
Supercurve doesn't just recommend. It does the job.
It reads every channel, picks the next move, and gets it ready to ship. You give the yes.
Your inbox, already worked
A daily report on what moved and why, then the work it points to: recommendations, posts, and fixes, ranked by impact.
Search clicks up 44%, and the one page carrying it
What moved, what Curve is watching, what it learned, and what to do about it.
AI searchHigh21h agoArticle ready: SOC 2 automation for Series A startups
You come up in 2 of 6 AI answers. This article is written to be cited.
SEOHigh1d agoRanking slip on /pricing, fix ready
Position 3 to 9 on the money query. Title and schema rewrite ready.
PaidHigh1d agoTwo ad sets over target CPA, shift ready
$400 a day into search intent. Nothing moves until you approve.
LinkedInMedium2d agoFounder post ready from this week's milestone
Your milestone posts outperform the rest 3 to 1. Staged for Tuesday.
+ CRM, competitorsAsk Curve anything
One question, answered from your whole stack, with the sources cited.
Why did traffic jump last week?
Three things lined up: the SOC 2 guide hit page 1, brand CTR rose to 4.2%, and one founder post sent 61 visits.
Did the /pricing rewrite work?
Yes. Click-through on /pricing is 3.1%, was 1.3%, over the 28 days since you approved it. Position barely moved, so the gain is the new title.
Which page should I fix first?
Every rival, watched daily
Every competitor's pricing, pages, ads, and posts on one timeline, re-checked every day, with a threat score on each.
Northloop
northloop.io
Strong adjacent threat: same buyers, a cheaper self-serve tier, and 40 new comparison pages that are starting to win the AI answers.
Today
- NorthloopPricing changednorthloop.io/pricing
Pro: $129 to $99 per workspace
- Draftly3 new adsLinkedIn · 5K to 10K
See why 4,000 teams close their books in hours, not weeks.
Yesterday
- KanvoNew pagekanvo.io/compare
A comparison page against you
- NorthloopPostLinkedIn · 212 reactions
We just cut onboarding to one day.
One brain for the whole team
Knowledge, assets, and memory, kept current from your own data. Everything Curve writes starts from the same picture.
Supercurve
supercurve.ai
Learned this week
- Where buyers come fromRead from your traffic
Organic search (62% of visits), was LinkedIn
- What performsRead from two results
Pages that name a price
Memory · decisions
- EOSep 1Lead with approval, not automation.
- Aug 22Comparison pages beat guides 2.4 to 1 on signups.
Every yes, measured
What you approve goes under watch. When the window closes, Curve compares it with its own baseline, says plainly whether it worked, and carries what it learned into the next recommendation. Where there is nothing to measure, it says that too.
A new title and description for /pricing
Blog post: what SOC 2 automation costs
An llms.txt, so AI assistants read the right pages
Measured on what 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.
Spend that earns its keep
Ad accounts read beside conversions and CRM, so the campaign burning budget is named, not buried in a report.
Retargeting · broad is at $184 CPA. Pause and move $400/day to search intent.ApproveWritten like you, from what worked
Drafts start from your voice and the pages and posts that already performed, not from a blank prompt.
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.
Every surface, over one memory.
Twelve views of the same business. Change something in one and the rest already know.
Recommendations, drafts, and heads-ups, each with the work attached and one button to ship it.
What moved against the month before, what Curve is watching, what it learned, and the items it recommends because of them.
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 anything in plain words. Answers cite the numbers, pages, and conversations they came from.
Traffic, search, LinkedIn, AI search, paid, and pipeline, read together, so a change on one channel explains another.
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.
A timeline of what Curve observed, recommended, and did, so nothing is learned twice and nothing is repeated.
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.
LinkedIn posts and articles in your voice, drafted from what worked, waiting for a yes.
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.
Slow, broken, thin, or unreadable-to-AI pages, fixed as drafts you approve, then shipped to your site or repo.
Google, Meta, Bing, and ChatGPT ads read against pipeline. Wasted spend flagged, campaigns paused or resumed on your say-so.
Everything above reads from the accounts you connect. See every integration.
Curve where you 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, page change, and budget move waits in the Inbox as a draft with the reasoning beside it. Approve it and Curve ships it; archive it 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, and Tag Manager to start, free. Paid plans add LinkedIn, Google, Meta, Bing, and ChatGPT ads, Salesforce, and GitHub. Keyword demand, competitor tracking, and AI search visibility are built in.
Connect tonight, read them in the morning. Curve runs its first full night within hours of setup and keeps a daily cadence from then on, 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.