Compare Original vs AI-Optimised LinkedIn Post
Feature Request: Compare Original vs AI-Optimised LinkedIn Post I’d like to see a comparison when creating a new LinkedIn post, so I can choose between: Use as-is: Keep my original version. AI optimise: Let 2PR improve the post for LinkedIn. The comparison should show how each version is expected to perform within my niche, based on the topic, context, audience and post format. Ideally, it would include indicators such as: Predicted engagement potential Relevance to my niche and audience Strength of the hook Readability and structure Topic/keyword relevance LinkedIn SEO discoverability GEO/AEO potential where relevant Clear reasons why the AI version is expected to perform better This would work similarly to SEO or GEO/AEO article optimisation, where I can understand what changed, why it changed and what impact it may have. At the moment, it can be difficult to trust the suggested draft over my original post because there is no clear comparison or explanation of why the new version should perform better. The goal is not just to generate another version, but to give me enough insight to decide whether to use it, tweak it or keep my original.
Marcus 10 days ago
Compare Original vs AI-Optimised LinkedIn Post
Feature Request: Compare Original vs AI-Optimised LinkedIn Post I’d like to see a comparison when creating a new LinkedIn post, so I can choose between: Use as-is: Keep my original version. AI optimise: Let 2PR improve the post for LinkedIn. The comparison should show how each version is expected to perform within my niche, based on the topic, context, audience and post format. Ideally, it would include indicators such as: Predicted engagement potential Relevance to my niche and audience Strength of the hook Readability and structure Topic/keyword relevance LinkedIn SEO discoverability GEO/AEO potential where relevant Clear reasons why the AI version is expected to perform better This would work similarly to SEO or GEO/AEO article optimisation, where I can understand what changed, why it changed and what impact it may have. At the moment, it can be difficult to trust the suggested draft over my original post because there is no clear comparison or explanation of why the new version should perform better. The goal is not just to generate another version, but to give me enough insight to decide whether to use it, tweak it or keep my original.
Marcus 10 days ago
User dashboard
I would like to have a userdashboard with important widgets and where I can add my own notes as I am using my own AI Agents to do the proper research etc. Would be great to add these insights in form of a dashboard. To create notes and with a kanban board; to do, Doing, Done
Marcus 10 days ago
User dashboard
I would like to have a userdashboard with important widgets and where I can add my own notes as I am using my own AI Agents to do the proper research etc. Would be great to add these insights in form of a dashboard. To create notes and with a kanban board; to do, Doing, Done
Marcus 10 days ago
inkedIn Trend Researcher
A built-in research engine that continuously identifies what is currently gaining traction on LinkedIn, by niche, topic, audience, geography and content format. The user should be able to choose any niche, for example AI, SaaS, UX, fashion, finance, leadership or e-commerce, and receive daily, weekly or monthly research updates. The researcher should surface: Top-performing LinkedIn posts in the selected niche Emerging topics and conversations gaining momentum Recurring hooks and opening patterns Post formats performing best, such as text, carousel, document, image or video Engagement velocity, not just total likes Comment volume and quality Reposts and discussion depth where available Creator/account size so performance can be normalised Topics that are becoming saturated versus still emerging Recommended angles that have not already been overused A particularly valuable part would be visual trend research. 2PR should identify the best-performing scroll-stopping post covers and visual styles in the selected niche, showing the actual visual examples where platform permissions allow it. For each visual, analyse elements such as: Cover composition Headline length Typography Human face vs product vs graphic Camera angle Contrast Background style Colour usage Text placement Visual hierarchy Curiosity gap Screenshot/interface style Before/after format Diagram or infographic style Minimal vs information-dense design Then explain why the visual probably stopped the scroll, instead of simply showing popular posts. I would also add a ranking system: Trend Score Momentum Engagement velocity Audience relevance Novelty Saturation Visual stopping power Replication potential The output could become something like: Daily 5 emerging topics + 10 breakout posts + 5 high-performing covers. Weekly Top trends, winning hooks, visual patterns, declining themes and recommended opportunities for the next 7 days. Monthly Larger market shifts, repeated winning formats, creator benchmarks, visual direction changes and niche-specific content opportunities. The strongest differentiator would be connecting research directly to creation: Trend → Winning Post → Visual Pattern → Suggested Angle → Draft → Cover Concept → Schedule That would move 2PR beyond a LinkedIn publishing/engagement tool and closer to a complete LinkedIn Content Intelligence system. I would also make one distinction very clear: the feature should not simply copy top-performing posts. It should extract the underlying pattern, explain why it worked, and generate a new angle adapted to the user's own positioning. That is where the real value is.
Marcus 10 days ago
inkedIn Trend Researcher
A built-in research engine that continuously identifies what is currently gaining traction on LinkedIn, by niche, topic, audience, geography and content format. The user should be able to choose any niche, for example AI, SaaS, UX, fashion, finance, leadership or e-commerce, and receive daily, weekly or monthly research updates. The researcher should surface: Top-performing LinkedIn posts in the selected niche Emerging topics and conversations gaining momentum Recurring hooks and opening patterns Post formats performing best, such as text, carousel, document, image or video Engagement velocity, not just total likes Comment volume and quality Reposts and discussion depth where available Creator/account size so performance can be normalised Topics that are becoming saturated versus still emerging Recommended angles that have not already been overused A particularly valuable part would be visual trend research. 2PR should identify the best-performing scroll-stopping post covers and visual styles in the selected niche, showing the actual visual examples where platform permissions allow it. For each visual, analyse elements such as: Cover composition Headline length Typography Human face vs product vs graphic Camera angle Contrast Background style Colour usage Text placement Visual hierarchy Curiosity gap Screenshot/interface style Before/after format Diagram or infographic style Minimal vs information-dense design Then explain why the visual probably stopped the scroll, instead of simply showing popular posts. I would also add a ranking system: Trend Score Momentum Engagement velocity Audience relevance Novelty Saturation Visual stopping power Replication potential The output could become something like: Daily 5 emerging topics + 10 breakout posts + 5 high-performing covers. Weekly Top trends, winning hooks, visual patterns, declining themes and recommended opportunities for the next 7 days. Monthly Larger market shifts, repeated winning formats, creator benchmarks, visual direction changes and niche-specific content opportunities. The strongest differentiator would be connecting research directly to creation: Trend → Winning Post → Visual Pattern → Suggested Angle → Draft → Cover Concept → Schedule That would move 2PR beyond a LinkedIn publishing/engagement tool and closer to a complete LinkedIn Content Intelligence system. I would also make one distinction very clear: the feature should not simply copy top-performing posts. It should extract the underlying pattern, explain why it worked, and generate a new angle adapted to the user's own positioning. That is where the real value is.
Marcus 10 days ago
Post Repurposing Into Multiple Formats
I’d like to take one strong LinkedIn post and generate multiple derivative assets from it. For example: LinkedIn post → Carousel → Short post → Newsletter draft → Video script → X thread → Follow-up post The original idea and messaging should remain consistent while each version is adapted to the format instead of simply shortened. 2PR already combines drafts and carousel creation, so deeper repurposing could connect those tools into one workflow.
Marcus 11 days ago
Post Repurposing Into Multiple Formats
I’d like to take one strong LinkedIn post and generate multiple derivative assets from it. For example: LinkedIn post → Carousel → Short post → Newsletter draft → Video script → X thread → Follow-up post The original idea and messaging should remain consistent while each version is adapted to the format instead of simply shortened. 2PR already combines drafts and carousel creation, so deeper repurposing could connect those tools into one workflow.
Marcus 11 days ago
Reusable Post and Campaign Templates
I’d like reusable templates for recurring content workflows. Examples: • Founder story • Contrarian opinion • Case study • Educational framework • Launch • Webinar promotion • Lead magnet • Weekly insight • Customer problem • Product announcement Users could define both the structure and instructions, then reuse them across campaigns or profiles. This could be particularly powerful if templates could be shared between team workspaces.
Marcus 11 days ago
Reusable Post and Campaign Templates
I’d like reusable templates for recurring content workflows. Examples: • Founder story • Contrarian opinion • Case study • Educational framework • Launch • Webinar promotion • Lead magnet • Weekly insight • Customer problem • Product announcement Users could define both the structure and instructions, then reuse them across campaigns or profiles. This could be particularly powerful if templates could be shared between team workspaces.
Marcus 11 days ago
Research Mode With Trusted Source Controls
I’d like more control over where AI research comes from. For example, allow users to select: Primary sources only Official company sources Research papers News publications Industry reports Social signals Reddit/community signals And distinguish: Verified fact Strong signal Opinion Anecdotal evidence This would make trending-topic research much more useful for professional thought leadership where source quality matters. 2PR currently aggregates trending ideas from several web/social sources, but those source categories have very different evidentiary quality.
Marcus 11 days ago
Research Mode With Trusted Source Controls
I’d like more control over where AI research comes from. For example, allow users to select: Primary sources only Official company sources Research papers News publications Industry reports Social signals Reddit/community signals And distinguish: Verified fact Strong signal Opinion Anecdotal evidence This would make trending-topic research much more useful for professional thought leadership where source quality matters. 2PR currently aggregates trending ideas from several web/social sources, but those source categories have very different evidentiary quality.
Marcus 11 days ago
AI Fact Checking and Source Verification
I’d like an optional research and fact-checking layer before publishing. For factual posts, 2PR could: • Identify factual claims • Search authoritative sources • Verify dates, numbers and quotations • Flag unsupported claims • Show source links • Distinguish fact from opinion • Warn when information may be outdated This would be especially valuable for thought leadership around AI, technology, finance, business and market trends. The current Ideas feature already pulls signals from LinkedIn, X, Reddit, Substack, Hacker News and GitHub, so adding source validation could improve trust and content quality rather than simply increasing idea volume.
Marcus 11 days ago
AI Fact Checking and Source Verification
I’d like an optional research and fact-checking layer before publishing. For factual posts, 2PR could: • Identify factual claims • Search authoritative sources • Verify dates, numbers and quotations • Flag unsupported claims • Show source links • Distinguish fact from opinion • Warn when information may be outdated This would be especially valuable for thought leadership around AI, technology, finance, business and market trends. The current Ideas feature already pulls signals from LinkedIn, X, Reddit, Substack, Hacker News and GitHub, so adding source validation could improve trust and content quality rather than simply increasing idea volume.
Marcus 11 days ago
Content Pillars and Strategic Content Planning
I’d like to define permanent content pillars and have 2PR actively balance content across them. For example: • Expertise • Founder story • Industry insights • Product education • Customer problems • Contrarian opinions • Commercial content The AI could then identify overused and neglected pillars and recommend what to publish next. 2PR already uses analytics to help determine what worked and turn that into future post briefs. Adding strategic pillar management could make those recommendations much more deliberate.
Marcus 11 days ago
Content Pillars and Strategic Content Planning
I’d like to define permanent content pillars and have 2PR actively balance content across them. For example: • Expertise • Founder story • Industry insights • Product education • Customer problems • Contrarian opinions • Commercial content The AI could then identify overused and neglected pillars and recommend what to publish next. 2PR already uses analytics to help determine what worked and turn that into future post briefs. Adding strategic pillar management could make those recommendations much more deliberate.
Marcus 11 days ago
Campaigns Instead of Only Individual Posts
I’d love to be able to create a campaign first, then generate and organise multiple LinkedIn posts around it. For example: Campaign: AI Adoption Webinar Inside it: • Announcement post • Educational post • Founder story • Contrarian post • Carousel • Reminder post • Last-call post • Follow-up post Each campaign could have: • Objective • Audience • Offer • CTA • Key message • Start/end date • Assets • Performance This would make 2PR much more useful for structured marketing rather than only individual content creation.
Marcus 11 days ago
Campaigns Instead of Only Individual Posts
I’d love to be able to create a campaign first, then generate and organise multiple LinkedIn posts around it. For example: Campaign: AI Adoption Webinar Inside it: • Announcement post • Educational post • Founder story • Contrarian post • Carousel • Reminder post • Last-call post • Follow-up post Each campaign could have: • Objective • Audience • Offer • CTA • Key message • Start/end date • Assets • Performance This would make 2PR much more useful for structured marketing rather than only individual content creation.
Marcus 11 days ago
Folders and Subfolders for Content Organisation
As the amount of content grows, I’d like stronger organisation inside 2PR. Something like: Workspace → Client → Campaign → Topic → Content Pillar → Drafts / Scheduled / Published Ideally with folders and subfolders, tags and saved filters. This would make it much easier to manage large content libraries and distinguish evergreen posts, campaigns, launches, experiments and client work. 2PR currently covers the full workflow from ideas through drafts and scheduling, so stronger information architecture would become increasingly important as users accumulate more content.
Marcus 11 days ago
Folders and Subfolders for Content Organisation
As the amount of content grows, I’d like stronger organisation inside 2PR. Something like: Workspace → Client → Campaign → Topic → Content Pillar → Drafts / Scheduled / Published Ideally with folders and subfolders, tags and saved filters. This would make it much easier to manage large content libraries and distinguish evergreen posts, campaigns, launches, experiments and client work. 2PR currently covers the full workflow from ideas through drafts and scheduling, so stronger information architecture would become increasingly important as users accumulate more content.
Marcus 11 days ago
Workspace Brand Library
I’d like to see a Brand Library for every workspace/profile. It could contain: • Logos • Fonts • Brand colours • Image references • Product images • Founder images • Approved graphics • Templates • Design guidelines • Visual examples Then when creating carousels or visuals, 2PR could automatically use the correct brand assets and design rules. This could be especially useful for agencies and teams managing multiple LinkedIn brands. 2PR already includes carousel creation, so this would improve consistency rather than introduce a completely separate workflow.
Marcus 11 days ago
Workspace Brand Library
I’d like to see a Brand Library for every workspace/profile. It could contain: • Logos • Fonts • Brand colours • Image references • Product images • Founder images • Approved graphics • Templates • Design guidelines • Visual examples Then when creating carousels or visuals, 2PR could automatically use the correct brand assets and design rules. This could be especially useful for agencies and teams managing multiple LinkedIn brands. 2PR already includes carousel creation, so this would improve consistency rather than introduce a completely separate workflow.
Marcus 11 days ago
Advanced Brand & Content Knowledge Base
I’d love to see a deeper knowledge layer for each profile or workspace so 2PR understands not only how I write, but also what I know, what I sell, who I serve and what I should or should not say. It could include: • Upload PDFs, documents, URLs and notes • Brand positioning and messaging • Products and services • Target audiences / ICPs • Case studies and proof points • Competitors • Approved terminology • Claims or topics to avoid • Personal stories and experience • CTA library • Offer library The current persona-trained writing is useful, but a structured knowledge base could make generated posts more strategically accurate and reduce generic AI output. 2PR already positions its AI around writing in the user’s voice, so this would extend that from “voice” into “business context.”
Marcus 11 days ago
Advanced Brand & Content Knowledge Base
I’d love to see a deeper knowledge layer for each profile or workspace so 2PR understands not only how I write, but also what I know, what I sell, who I serve and what I should or should not say. It could include: • Upload PDFs, documents, URLs and notes • Brand positioning and messaging • Products and services • Target audiences / ICPs • Case studies and proof points • Competitors • Approved terminology • Claims or topics to avoid • Personal stories and experience • CTA library • Offer library The current persona-trained writing is useful, but a structured knowledge base could make generated posts more strategically accurate and reduce generic AI output. 2PR already positions its AI around writing in the user’s voice, so this would extend that from “voice” into “business context.”
Marcus 11 days ago
Turn Engage Comments Into a Lead Conversion Engine
I’d love to see Engage in Comments expanded beyond AI-assisted replies into a lightweight lead capture and conversion layer. 2PR already centralises engagement through its Engage Inbox and operates through LinkedIn’s official API, so I think the next opportunity is helping users identify which comments represent genuine commercial intent and what action to take next. For example, when someone comments: “Interested” “Can you send me this?” “How much does this cost?” “Would love to learn more” 2PR could recognise this as lead intent and surface conversion actions directly inside Engage. Suggested functionality: • AI detection of lead intent and buying signals • Automatically classify comments as Engagement, Question, Lead or High Intent • Convert to Lead action directly beside a comment • Capture relevant LinkedIn profile/company context where permitted • Automatically tag leads based on the post, topic or intent • AI reply suggestions optimised for moving the conversation forward, rather than only generating engagement • Suggested next actions such as Start Conversation, Send Resource, Send Booking Link, Add to CRM, Qualify Lead or Assign to Team Member • Webhook/CRM integrations for sending qualified leads into external sales workflows • Lead status and follow-up tracking inside Engage • Analytics connecting Post → Comment → Conversation → Lead → Qualified Lead → Customer The key opportunity is to make Engage measurable beyond likes and replies. Instead of only asking: “Which posts generate engagement?” 2PR could help answer: “Which posts generate leads, conversations and revenue?” The ideal workflow would become: Comment → Detect Intent → Start Conversation → Capture Lead → Qualify → Convert This would strengthen 2PR’s existing positioning around the complete LinkedIn content workflow while keeping the conversion layer integrated directly into Engage rather than requiring another standalone tool.
Marcus 11 days ago
Turn Engage Comments Into a Lead Conversion Engine
I’d love to see Engage in Comments expanded beyond AI-assisted replies into a lightweight lead capture and conversion layer. 2PR already centralises engagement through its Engage Inbox and operates through LinkedIn’s official API, so I think the next opportunity is helping users identify which comments represent genuine commercial intent and what action to take next. For example, when someone comments: “Interested” “Can you send me this?” “How much does this cost?” “Would love to learn more” 2PR could recognise this as lead intent and surface conversion actions directly inside Engage. Suggested functionality: • AI detection of lead intent and buying signals • Automatically classify comments as Engagement, Question, Lead or High Intent • Convert to Lead action directly beside a comment • Capture relevant LinkedIn profile/company context where permitted • Automatically tag leads based on the post, topic or intent • AI reply suggestions optimised for moving the conversation forward, rather than only generating engagement • Suggested next actions such as Start Conversation, Send Resource, Send Booking Link, Add to CRM, Qualify Lead or Assign to Team Member • Webhook/CRM integrations for sending qualified leads into external sales workflows • Lead status and follow-up tracking inside Engage • Analytics connecting Post → Comment → Conversation → Lead → Qualified Lead → Customer The key opportunity is to make Engage measurable beyond likes and replies. Instead of only asking: “Which posts generate engagement?” 2PR could help answer: “Which posts generate leads, conversations and revenue?” The ideal workflow would become: Comment → Detect Intent → Start Conversation → Capture Lead → Qualify → Convert This would strengthen 2PR’s existing positioning around the complete LinkedIn content workflow while keeping the conversion layer integrated directly into Engage rather than requiring another standalone tool.
Marcus 11 days ago
Custom Source Watchlists + Scheduled Research
It would be great to add your own trusted research sources — podcasts, blogs, newsletters, YouTube channels, RSS feeds and websites — and schedule them for daily or weekly monitoring. The system could detect only newly published content, extract emerging topics and useful insights, then suggest fresh article opportunities based on those signals. Ideally include: • Daily / weekly schedules • Source groups by website or niche • Topic and keyword filters • Original-source citations • Duplicate-topic detection • Alerts when several sources discuss the same emerging topic This would turn UseArticle from mainly an automated publishing tool into an ongoing research and content-intelligence engine.
Marcus 14 days ago
Custom Source Watchlists + Scheduled Research
It would be great to add your own trusted research sources — podcasts, blogs, newsletters, YouTube channels, RSS feeds and websites — and schedule them for daily or weekly monitoring. The system could detect only newly published content, extract emerging topics and useful insights, then suggest fresh article opportunities based on those signals. Ideally include: • Daily / weekly schedules • Source groups by website or niche • Topic and keyword filters • Original-source citations • Duplicate-topic detection • Alerts when several sources discuss the same emerging topic This would turn UseArticle from mainly an automated publishing tool into an ongoing research and content-intelligence engine.
Marcus 14 days ago
Trending topic schedule
Add schedule for research on trending topic in any niche as top performing content to post on Linkedin aligned with the Linkedin profile.
Marcus 27 days ago
Trending topic schedule
Add schedule for research on trending topic in any niche as top performing content to post on Linkedin aligned with the Linkedin profile.
Marcus 27 days ago
SSL Error When Clicking on a Post via Email // View your post on LinkedIn
When click on ‘View your post on LinkedIn’ button when a Post is listed on LinkedIn, an SSL error message appears in Chrome. The domain is: http://url8851.2pr.io/ls/click?
Chris Machut 28 days ago
SSL Error When Clicking on a Post via Email // View your post on LinkedIn
When click on ‘View your post on LinkedIn’ button when a Post is listed on LinkedIn, an SSL error message appears in Chrome. The domain is: http://url8851.2pr.io/ls/click?
Chris Machut 28 days ago
Request the ability to see who accepted connection requests and who I connected with for each profile.
We utilize this platform to do multiple tasks that we have to do for the clients whose accounts we manage on LinkedIn. Most useful things that could be added here for our purposes and perhaps others who manage accounts as well is being able to see who accepted connection requests by the day and being able to click their profiles, etc. We know who to send messages to. Not sure if this is in LinkedIn's API or how easy it is, but would be great to add. Thanks
Joe Nilsen about 2 months ago
Request the ability to see who accepted connection requests and who I connected with for each profile.
We utilize this platform to do multiple tasks that we have to do for the clients whose accounts we manage on LinkedIn. Most useful things that could be added here for our purposes and perhaps others who manage accounts as well is being able to see who accepted connection requests by the day and being able to click their profiles, etc. We know who to send messages to. Not sure if this is in LinkedIn's API or how easy it is, but would be great to add. Thanks
Joe Nilsen about 2 months ago
upload resume to suggest changes to be done to linkedin profile.
Right now user can see how his/her linked profiles scores and there is no quick solution to make it correct . can you allow one user to upload his resume so that your platform can suggest linkedin profile and posts etc based on his skills and experiences ?
Swastik 3 months ago
upload resume to suggest changes to be done to linkedin profile.
Right now user can see how his/her linked profiles scores and there is no quick solution to make it correct . can you allow one user to upload his resume so that your platform can suggest linkedin profile and posts etc based on his skills and experiences ?
Swastik 3 months ago
API key generator with endpoint
I’d like to request an API key generator with a secure endpoint. The goal is to connect 2pr with my AI agents and my LinkedIn Co-Pilot GPT using a Bearer token. This would allow my agents to run on a daily schedule, search for trending topics in my niche, and support automated content workflows. This would be especially useful for users who want to connect external AI tools, schedule recurring tasks, and build more advanced automation around 2pr.
Marcus 3 months ago
API key generator with endpoint
I’d like to request an API key generator with a secure endpoint. The goal is to connect 2pr with my AI agents and my LinkedIn Co-Pilot GPT using a Bearer token. This would allow my agents to run on a daily schedule, search for trending topics in my niche, and support automated content workflows. This would be especially useful for users who want to connect external AI tools, schedule recurring tasks, and build more advanced automation around 2pr.
Marcus 3 months ago
