GoodSocials

GoodSocials is an AI social media manager for LinkedIn. It writes high quality LinkedIn posts from deep research or from your own data, you approve them on a board, and it schedules them so you post regularly — five times a week, close to daily. The example board on the site is set up for TimeTuna.com, a scheduling service, with the stated goal of inbound leads. Signing in with LinkedIn and pasting your website fills a board with seven posts in 90 seconds. GoodSocials says it is built for the person whose name is on the profile, and it is positioned around only authentic content: research, deep dives and your numbers, nothing else. The problem GoodSocials addresses is cadence and cost. A social media manager costs around $3,000 a month. Against that, GoodSocials notes that a manager posts most weeks, needs about a week of onboarding before first drafts arrive, and stops when you are on holiday — while the product posts every weekday, delivers first drafts in 90 seconds, and posts what you queued while you are away. The cadence section frames the issue bluntly: three posts in your last three months versus twenty posts next month, with the promise that profile views, followers and inbound leads follow a steady month. There is also an explicit quality argument running through the marketing, which is built around avoiding 'AI slop', cringe openings and clichés such as 'nobody talks about this' or 'it's not X, it's Y'. Every post GoodSocials writes is one of three kinds: market research, deep dive, or your numbers. Market research posts draw on comparisons of the market — for example, one card reports that of 12 scheduling tools compared that month, 9 put round-robin behind a paid tier and two moved it there last quarter. Deep dives go further into a single source: one card codes the most frequent week-one question from 1,200 support threads and notes it points somewhere the roadmap had not looked; another reviews Iyengar & Lepper (2000) and Scheibehenne et al. (2010) to explain why a product shows three slots, weighing one famous jam study against a meta-analysis of 50 experiments. Your numbers posts report figures read from your own connected tools, such as failed deploys per release falling about 62% after one CI rule on a small sample of 11 releases, or 31% of August signups choosing annual, up from 19% in July. The claim is that the content comes from research, deep dives or your numbers — nothing else. GoodSocials is also explicit about what it will not write. The site shows a rejected example: 'Nobody talks about this, but scheduling is broken. I spent 10 years in SaaS. Here is what I learned: It's not about the tool. It's about the mindset. Agree?' The stated rules are no cringe, no 'no one talks about this', and no 'it's not X, it's Y'. What it writes instead is grounded in a specific number with the source attached — for example a post reporting that reschedules fell from 18% in May to 7% in August after one change, with n = 9,412 meetings, an acknowledgement that seasonality could explain part of it, a holdout running in October, and a next question about no-shows. That stylistic discipline is the differentiator the site leads with. You stay in control through an approval board. Posts arrive as cards, you review and revise them, and only approved items are scheduled. Cards display the posting time, such as 'Publishes Tue 09:00', and the board reflects a weekday cadence of five posts a week. The pipeline shown on each card is: reads your tools, writes the post, draws the image, you approve, publishes. The cadence section states the product takes you from three posts in your last three months to twenty posts next month, and the aim is to show up every weekday because the rest — profile views, followers and inbound leads — follows a steady month. Correcting the output is a first-class feature, described as 'Correct it once. Every post after follows.' The mechanism has three steps. First, you leave a note on a card, such as 'Open on the number, not a question.' Second, that note rewrites the card and becomes a rule in your voice; rules accumulate under a VOICE heading, with examples like 'Reports, does not sell' and 'Opens on the number.' Third, every next post follows the accumulated rules. The site illustrates the compounding effect with a timeline: Week 1, one rule; Week 4, two rules; Week 12, five rules, every one from a note of yours. The Pro plan also lists three brand principles that learn from every revision. GoodSocials works from your own data by reading your tools. The example board lists connected data sources: PostHog, Stripe, GitHub, Plausible and Notion, all connected read only. Those sources feed the 'your numbers' post type, which is why a card can quote reschedule rates, signup mix or deploy frequency with the tool named underneath it. Images are generated as part of the workflow, since the pipeline includes 'draws the image', and the Pro plan includes up to 200 generated images a month. The site also notes what is coming next: Codex, Claude Code and Grok bot integrations. The overall approach is a repeating loop rather than a one-off generation. You sign in with LinkedIn and paste your website; the board fills with seven posts in 90 seconds, with 7 days free and then $100 a month. Each post then runs through the same five-step pipeline: it reads your tools, writes the post, draws the image, you approve, and it publishes at a scheduled time such as Tuesday 09:00. Research and deep dives come from outside sources with citations, while your numbers posts come from connected analytics. Because approval happens before publishing, and because corrections become persistent voice rules, the system is designed to improve week over week instead of resetting each time. The outcomes GoodSocials claims follow from the cadence: profile views, followers and inbound leads follow a steady month of showing up every weekday. The comparison table against a $3,000 a month manager lists the concrete differences — posts every weekday rather than most weeks, first drafts in 90 seconds rather than after a week of onboarding, and posting what you queued when you are on holiday rather than stopping. The board is full in 90 seconds, so there is no long ramp before the first post appears. And because every correction becomes a rule, the site argues the output moves closer to your voice over time, which is the basis for its 'only authentic content' positioning. GoodSocials is built, in its own words, for the person whose name is on the profile: founders, consultants, operators and agencies. The site maps each group to the kind of data it writes from — founders to Stripe numbers, consultants to Notion-based client work and engagement patterns, operators to GitHub and engineering numbers, and agencies to each client's own data. Pricing has three tiers with 7 days free on each and no setup fee. Pro is $100 a month for one LinkedIn profile, including three brand principles that learn from every revision and up to 200 generated images a month. Agency is $1,000 a month for up to 10 profiles with one board per client, where each client authorises their own profile so you never hold a password, and GoodSocials emails you before a client's access runs out. Consultancy is $2,000 a month, where Pasha, the founder, sets up your themes, principles and sources with you and holds a call with you every week. Plans can be changed or cancelled from the pricing page or settings. In short, GoodSocials is a LinkedIn posting system that combines deep research and your own product data with a human approval board and a voice that improves from every correction. Its value proposition is showing up every weekday with content drawn from real research or real numbers, at $100 a month instead of the $3,000 a month a social media manager costs.