"Must-Have" Tools for Content Marketing Success
Content marketing success depends on choosing the right tools and using them strategically. This article breaks down twenty-two actionable approaches that top practitioners rely on to streamline production, amplify reach, and drive measurable results. Insights from industry experts reveal how to build a lean, integrated stack that turns content operations into a competitive advantage.
Centralize Operations in HubSpot and Let Analytics Inform
Technology plays a critical role in streamlining content marketing, but the goal is not to replace strategy or judgment. It is to remove friction so teams can focus on clarity, consistency, and impact. At the foundation of our workflow is a centralized CRM and content platform. Tools like HubSpot allow us to plan, create, publish, distribute, and measure content in one place. This eliminates version control issues, manual handoffs, and disconnected reporting. Editorial calendars, campaign assets, workflows, and performance data all live in the same system, improving accountability and speeding execution.
AI has become a valuable accelerator when used intentionally. We leverage AI tools to support research, outline development, repurpose content, and optimize. For example, AI helps identify topic gaps, surface emerging questions buyers are asking, and adapt long-form content into formats suitable for email, social, and sales enablement. This allows us to scale content without sacrificing message discipline or brand voice.
Automation is another major efficiency gain. Email workflows, lead nurturing, and content distribution are automated based on behavior and lifecycle stage, ensuring the right content reaches the right audience at the right time. This reduces manual effort while improving relevance and performance.
Analytics tools are essential to closing the loop. Dashboards that connect content engagement to pipeline and revenue allow us to make informed decisions about what to double down on and what to retire. Instead of creating content based on assumptions, we use real data to guide prioritization.
Ultimately, the most helpful technology is technology that reinforces strong fundamentals. Clear positioning, audience insight, and disciplined execution still matter most. The right tools simply make it easier to do those things consistently and at scale.
Build Specialist GPTs with Rich Avatars
If you're using AI for content marketing and getting bland, repetitive output, the problem usually isn't the model. It's the setup. Most people try to make one GPT or one project do everything. Blogs, emails, ads, socials, strategy. That creates slop. The fix is simple and very actionable.
Create separate custom GPTs or Claude projects for specific jobs. One for blog posts for a single business. One just for email marketing. One for ads. Each tool should have one clear role. Think specialist, not Swiss Army knife. Content marketers win when the AI knows exactly what lane it's in.
Next, give each GPT or project the right files. Start with a business dossier. What the company does, who they serve, offers, tone, rules, examples of good content. If there's special knowledge, like industry rules or product details, include that too. Yes, the model "knows" a lot already. But when this info lives inside the project, the output is faster, more accurate, and way easier to trust.
Two files matter more than almost anything else. First is the audience avatar. Who you're writing for, their problems, goals, fears, and how they talk. Second is the writer avatar. Who the AI is writing as. Background, experience, point of view, beliefs. Just like Hollywood writers need character backstory, AI writes better when it knows who it's supposed to be.
Use deep research prompts to build these documents once. Then reuse them. The payoff is huge. Better first drafts. Less editing. Clearer voice. No more generic fluff. You're not creating more content. You're creating better content, faster, with way less frustration editing bland AI generated slop that belongs in the trash.
Accelerate Blog Workflows with Airtable and Grammarly
As a writer, I mostly work on blogs for content marketing, so I use tech a lot to make the whole process smoother from start to finish.
I use tools mainly to reduce friction in the workflow, from planning all the way to publishing. I also use AI tools, especially ChatGPT, to brainstorm ideas and build structured outlines, so I don't spend too much time stuck in the "where do I start?" phase.
For writing and editing, Grammarly helps a lot. It catches tone issues, clarity problems, and small errors early, which makes revisions faster and keeps the writing consistent. The newer version also helps flag AI-generated parts, so I can quickly tweak and make sure everything still sounds natural and human.
For planning and collaboration, I rely heavily on Airtable. We use it as a flexible content calendar to track ideas, status, deadlines, platforms, and even performance. It's basically my single source of truth, so nothing gets lost between brainstorming and publishing.
Overall, these tools just make the workflow more organized, more collaborative, and way more efficient, which really helps when you're producing content regularly across different channels.
Scale Video Output through Mapped Tools
For me, technology is less about chasing the newest shiny tool and more about building a workflow that truly scales. I streamline my content marketing by first documenting the strategy—what we're trying to achieve, the narrative we want to tell, and the steps involved. Once that's clear, I map each stage to tools that can accelerate execution without diluting the brand voice.
For example, I use the AI project management tool Morgen to assign tasks, and Copilot to learn my brand's tone and refine content while supporting ideation and repurposing. For content generation, I rely on AI platforms like HeyGen, Descript, and Jupitrr to transform written content into videos, making storytelling more dynamic and scalable.
Deploy BSM Copilot, Enable Editors to Add Insight
We built our own AI system called BSM Copilot on Google Gemini, and it cut our content research time from four hours to 30 minutes per piece. That's the single biggest workflow improvement we've made.
Here's the stack we actually use daily: BSM Copilot handles SERP analysis, competitive intelligence, and content outlining. SE Ranking (where I'm a Brand Ambassador) provides keyword research, rank tracking, and backlink analysis. Otter.ai transcribes our sales calls and client meetings, which feed into our content strategy. Google Search Console gives us real performance data on what's actually ranking and driving traffic.
The workflow looks like this: sales call gets transcribed automatically. BSM Copilot analyzes the transcript and identifies content themes, common objections, and questions prospects asked. It then researches what's currently ranking for those topics, identifies content gaps, and generates an outline. A human writer (not AI) takes that outline, adds client-specific examples, injects personality, and fact-checks everything. The result is content that ranks because it addresses real questions with genuine expertise.
The key insight? Technology should eliminate grunt work, not replace expertise. BSM Copilot removes the tedious parts (reading 15 competitor pages, taking notes, identifying patterns), so our team spends time on high-value activities like adding original insights and client examples.
Other tools in our stack: Google Analytics for traffic analysis, Featured.com for digital PR opportunities, YouTube for hosting video content that feeds into our E-E-A-T score. We also use simple project management (Asana) to track content production, but honestly, the simpler the better. Over-complicated workflow tools create more problems than they solve.
The mistake agencies make? They adopt every new tool without asking whether it actually speeds up their process. We evaluate tools based on one metric: does this save our team time while maintaining or improving quality? If yes, we adopt it. If no, we skip it regardless of hype.
One surprising finding: AI transcription of sales calls has been more valuable than any content optimization tool. Those transcripts contain authentic customer language, real objections, and specific pain points that we'd never identify through keyword research alone. Turning those insights into content is how we consistently rank for high-intent queries.
Feed Claude Your Archive, Iterate Across Channels
Hi!
I got a 195.5% increase in LinkedIn impressions in the first two weeks of January using this system. Here's the breakdown:
LinkedIn:
I use a Claude project where I've dumped a lot of facts about myself: 100 or so podcast transcripts, documentary episodes, keynotes, our intern training manual, all of it. We update it with our best-performing posts so the AI knows what's working and what tone to go for.
My writer gives Claude a topic or pain point and uses the output as a draft that has my voice and the formatting we like. 95% of the work is done. We do some edits to make it sound like me and not some generic consultant, remove the robotic parts and it's ready to post. I always do a final pass, usually cutting it down and adding something personal that only I would know. That's the 5% that matters.
Iterating performance:
We check stats weekly, EOS style: impressions, engagement, DMs and select the top 3-5 posts. The best posts go into Claude project files as reference material. And they get turned into YouTube Shorts.
YouTube:
I am not good at reading a script on a teleprompter. So we extract the best performing post's bullet points, and I just riff off of them in front of my phone camera. The result is authentic, for sure. This gets handed off to my video editing team. After it's posted on YouTube, we monitor the results and understand what is working and what isn't.
The iteration:
When a YouTube video crushes it, we reverse engineer why. We keep track of the hooks. Was it how I explained the framework? The vulnerability in the story? That insight goes back into Claude as context.
Then we might turn that video into a carousel on LinkedIn, an email blast, a blog post for SEO, whatever. The work we put into that first LinkedIn post keeps creating value.
The feedback loop:
Every two weeks, my social media manager analyzes our best content in Claude and updates the SOP if we spot new patterns. We noticed that posts that started with industry pain points, like 'nursing homes are losing staff faster than they can hire' performed better than posts starting with 'I'. And it makes perfect sense: whatever we publish must speak to the reader.
The whole thing is test, measure, double down, iterate. This is how our LinkedIn impressions are growing even after stopping paying ads.
Does that help? Happy to walk through specifics if you want.
Unite Discovery, Ideas, Design for Speed
I have used smart automation to transform my content marketing workflow. That cut down my production time from 12 hours to just 3 hours per post. Now I can focus on high-level strategy while the "tech stack" handles the repetitive grunt work.
I use Notion to map out my editorial calendar and Ahrefs to find high-value keywords. I use Jasper AI to turn a single topic into 10 different post ideas within seconds. Writesonic creates my initial outlines.
After that, I prefer Canva Magic Studio for quick infographics and Midjourney to create unique "hero" images. Then SurferSEO ensures my content is ready to rank. After it's finished, Zapier automatically pushes the post to WordPress and social media. Finally, I use Google Analytics 4 to track sales and Hotjar heatmaps to see where readers stop scrolling.
Favor Lean Integrations that Prioritize Real Leads
We work with only a few tools that speak to each other and don't get too fancy. Notion is where ideas come to life, and Zapier brings in valuable insights from our team and customers. When we plan, we look at Google Trends and do keyword research in Ahrefs and Semrush before confirming what works in Google Search Console. We draft in Google Docs, clean our writing with Grammarly, and optimize for search intent using Clearscope.
Workflows in Asana with nimble automations, so writing, design, translation, and approvals don't get stuck. So once a post is ready, it heads to WordPress and then social via Buffer with tracking tags in place. For videos, we edit in Descript and create visuals in Canva. DeepL is a helpful translation tool, and native editors iron out tone. We will be monitoring performance in GA4 and a Looker Studio dashboard that reports on real leads, rather than just clicks. With this configuration, we create content faster and get more pieces of ranking well in a shorter time.
Turn One Guide into Monthlong Cross-Platform Presence
"We transformed efficiency using CONTENT REPURPOSING tools that turn one comprehensive blog post into 8-10 pieces across platforms. We write one detailed guide, then use Descript to create a video version, Canva to design quote graphics, and manual editing to create LinkedIn articles and email newsletter sections. This multiplier approach means one research and writing effort generates content for an entire month across channels.
The specific workflow: publish comprehensive blog post, use Loom to record 5-minute video summary, extract 3-5 quote graphics using key statistics or insights, create LinkedIn carousel with main points, write email newsletter featuring the topic with link to full post. One 2,000-word blog post becomes 15+ touchpoints with audiences across platforms, maximizing ROI on content creation INVESTMENT.
The technology combination: WordPress for blog hosting, Loom for video recording, Canva for visual assets, Buffer for social scheduling, and ConvertKit for email distribution. This integrated stack lets one content piece serve multiple purposes without requiring separate creation for each platform. Our content output appears 3X larger than actual production because strategic repurposing creates perception of constant activity while maintaining manageable creation workload."
Cut Feedback Loops with Notion, ClickUp, Loom
One place where technology has really helped us is reducing the back-and-forth that slows content down before it ever gets published. We noticed our team spent too much time chasing updates, feedback, and final files instead of actually creating content.
To fix this, we built a simple workflow using Notion, ClickUp, and Loom. Notion holds the single source of truth for content outlines, drafts, and notes, so no one is guessing which version is current. ClickUp manages deadlines and approvals, while Loom lets us explain changes quickly without long email threads.
For example, instead of writing paragraphs of feedback, we record a two-minute Loom walking through the draft and drop it directly into the task. This keeps feedback clear and prevents misunderstandings.
What makes this work is that each tool has one clear job. When everyone knows where to write, review, and approve, content moves faster, stress drops, and nothing gets lost in the process.
Humanize Automations and Phase Your AI Roadmap
Hello, I'm Steve Morris, Founder and CEO of NEWMEDIA.COM and creator of RankOStm. Over the past 20 years, we've helped grow brands from B2B to SaaS and now run campaigns that reach 10 million monthly visitors. Here's how we use high-level automation in performance management to smoothly scale business.
Humanizing automation with AI randomness
The real challenge in content marketing isn't just finding the right balance or frequency, but maintaining a human "feel" once you do. To solve this, we've avoided using static linear sequences. In our lead nurturing flows, we now use AI random number generators and randomized delays in platforms like Activepieces, for instance. Instead of having a prospect receive a follow-up at 10 a.m. every Tuesday (which just screams bot) the system adds small daily timing decisions. We use AI to decide if this or that message should go out in three, or 27 hours, and which curated resource fits that prospect's real-time interest. We stagger these touchpoints to make the flow feel less robotic or cliched. This approach has been a key driver in helping our clients' campaigns impact over $3.5 billion in revenue as it prevents the predictable timing patterns leads have learned to tune out.
The data foundation and phased AI roadmap
Don't "rip and replace" your tech stack or strategies all at once, go more phased and incremental. And begin with what we call Phase Zero: a 30-day quick win program focusing on a single functions, such as alt text or subject line optimization.
That said, the tech only goes so far. We recently revamped a client's ecosystem by integrating Zoho CRM, Zoho Campaigns, and Zoho Analytics into a single loop. Before we started activating any AI agents, we spent weeks cleaning data and mapping customer touchpoints, for instance. Once the data was consolidated, Zoho's AI assistant Zia began providing accurate lead scores because it now had data to work with. This approach allows our (100+) team to focus on high-level creative strategies while our customized AI agents are handling simple optimizations like pausing ads and promotions or triggering a loyalty offer based on customer lifetime value.
Anchor on Structure, Then Have Tech Boost
Technology plays a huge role in streamlining our content marketing workflow, but only after we've put structure around it. Without clear organization and priorities, even the best tools can make the process feel overwhelming instead of efficient.
We always start by defining the scope of the work. What are we creating for the client: blogs, email campaigns, social posts, press releases? That part should never be a mystery, as an agreement for services would have been established before services even began. From there, we collaborate with the client to identify what they want their marketing to focus on. Because we primarily work with MSPs, that usually centers around IT services, cybersecurity, compliance, and managed or co-managed services... sometimes it includes the verticals if an MSP works with specific verticals.
Once the focus is clear, research drives everything. We start with a broad keyword (such as "cybersecurity") and use Semrush to uncover related keywords, phrases, questions, and themes. From that larger pool, we filter and organize topics into a structured content series, typically with one core pillar piece supported by several smaller posts. This layered approach lets us educate without overwhelming the reader, while keeping everything tied to a cohesive theme.
From there, we move into execution. We use Jasper to help generate outlines and gather credible source material. That outline becomes the foundation for the content, which is written in Google Docs, where collaboration is easy, and version control stays clean. Tools like Grammarly help with polish and consistency, but the voice and strategy remain human-led.
The key is that technology supports the workflow...it doesn't replace it. When research, structure, and collaboration are handled first, the tools simply make the process faster, cleaner, and far more scalable.
Standardize Articles with Templates and Built-In SEO
"We streamlined workflow using CONTENT TEMPLATES in Google Docs that standardize structure across all blog posts. Each template includes placeholder sections for introduction, problem statement, solution explanation, example, and conclusion with character count guidelines for each section. New writers follow the template structure, ensuring consistency without extensive training. Our content production time dropped 34% after implementing templates because writers aren't reinventing structure for every post.
The templates also include SEO CHECKBOXES: target keyword in H1, internal link to related post, meta description under 155 characters, featured image optimized. This built-in quality control prevents publishing content missing critical optimization elements. One junior writer who struggled with SEO fundamentals now produces fully optimized posts because the template guides every requirement.
We pair templates with Asana for workflow management, moving posts through stages: research, first draft, SEO optimization, editing, approval, and publishing. Everyone sees where content sits in the pipeline, eliminating ""where is that post?"" conversations. Our publishing consistency improved from 68% on-schedule to 96% because the SYSTEMATIC workflow removes guesswork and keeps everyone accountable to deadlines."
Embed Supademo Demos to Clarify Product Value
I use technology to keep the workflow tight and grounded in real inputs.
For research and drafting, I use AI to scan reports, summarize sales calls, and pull patterns from customer feedback. Writing still happens manually, but faster because the raw material is ready. Google Docs keeps collaboration simple, and analytics tools show me exactly where readers drop or keep scrolling.
For product content, we use Supademo to show the product in action directly inside blogs. Instead of explaining workflows in text, readers can try them. That reduces confusion and cuts revision cycles because the value is visible immediately.
Align Updates with Verified Port Milestones
At BASSAM, technology helps us stay efficient without overcomplicating the process. Shipping content is closely tied to real operations, so our workflow is built around speed, accuracy, and approvals.
We use a shared content calendar and collaboration tools like Google Workspace to align with operations and commercial teams. This allows us to verify vessel details, port updates, and service information before anything goes live. Accuracy matters more than volume in our industry.
For social media, LinkedIn scheduling tools help us plan posts around vessel calls, project milestones, and industry events instead of posting reactively. This ensures consistency even during busy operational periods.
We also rely on simple analytics tools native to platforms like LinkedIn to track what resonates. Operational updates, port activity, and partner mentions consistently outperform generic brand posts, so data directly shapes what we publish next.
Overall, we use technology to support clarity and coordination, not automation for its own sake. The goal is to reflect real shipping activity in a structured, dependable way that decision-makers can trust.
Run One Pipeline with Minimal, Purposeful Platforms
I use tech to cut handoffs, guesswork and rework. My aim is one clean pipeline: ideas - briefs - drafts - approvals - publish - measure - iterate. If a tool doesn't support that, I drop it.
For ideas and research, I keep one notes system where I dump customer language, sales questions, and content ideas. I'll use AI to group themes, outline articles and spot gaps, but I always cross-check with call notes, CRM data and support tickets so it doesn't drift into fantasy.
For planning and production, I prefer one shared project tool with a simple kanban board: Backlog, In progress, Review, Approved, Published. Every piece of content is a card with the brief, links, draft and owner. That cuts down Slack pings and "where's that doc?" messages.
For writing and editing, I treat AI like a junior copywriter. It's great for first passes, structure, and alternative angles, but I own the strategy, voice and final draft. A single doc platform with comments and version history is more valuable to me than niche writing tools, because most delays come from messy reviews.
For design and repurposing, I use one design tool with brand-safe templates. Once we've made a core asset, like a guide or case study, we'll spin out posts, emails and short scripts from that same file so everything stays consistent.
For publishing and measurement, I like a central content calendar that can schedule to multiple channels. I combine that with native analytics and basic dashboards to track which topics and formats move leads, pipeline and revenue. I care less about perfect attribution and more about fast feedback.
So the stack is: one place for ideas, one for workflow, one for creation, one for design, one for publishing/analytics. The fewer tools people have to jump between, the smoother the content engine runs.
Josiah Roche
Fractional CMO
Silver Atlas
www.silveratlas.org
Record Dictations, Schedule, Review Weekly
When the tools remain in the background, the content work takes shorter time. In RGV Direct Care, technology is employed to eliminate layers and not increase friction. A content calendar allows ideas to be seen and removes last minute panics. Short form posts are usually voice notes recorded between appointments, transcribed and loosely edited. That saves time and hours per week. The distribution by posting is managed by scheduling tools, therefore, daily attention is not necessary.
The most useful of them are the straightforward ones. Google Docs maintains collaboration to the clean and searchable. Notion is effective in saving ideas that are evergreen, frequently asked questions and draft that can be used in the future. The simplest email service connects content with following up, and this bridges the gap between training and performance. The checking of analytic is performed not every day but once a week just to be able to observe which topics have caused some responses or bookings. Technology favoring rhythm over control has made content human and sustainable; a far more important thing than pursuing volume.
Batch Stages and Trigger Actions with Zapier
"Our biggest workflow improvement came from BATCHING content production using specialized tools for each phase. We dedicate Mondays to research using SEMrush and AnswerThePublic to identify trending topics and keyword opportunities. Tuesdays and Wednesdays are writing days using focused blocks. Thursdays are editing and optimization days using SurferSEO to ensure content meets search intent. This batched approach increased productivity 56% compared to trying to write, edit, and optimize simultaneously.
The tool stack that enables batching: SEMrush for keyword research and content gaps, Clearscope for optimization scoring, Canva for graphics creation, and WordPress with Yoast for publishing. Each tool serves one specific workflow phase, preventing context-switching that kills productivity. One content manager handles 23 client blogs monthly using this systematized approach where she previously struggled managing 14.
We also use ZAPIER automations connecting our tools: when a post publishes in WordPress, it automatically creates social promotion tasks in Asana, adds the URL to our internal linking spreadsheet, and sends notification to our email marketing team. These automations eliminate 8+ hours weekly of manual coordination work, letting our team focus on content creation instead of administrative tasks."
Start with Smart Outlines, Elevate with Expertise
We use AI DRAFTING with ChatGPT to handle initial research and outline creation, which reduced our content production time by 47%. Instead of writers starting from blank pages, they receive comprehensive outlines with key points, relevant statistics, and structural suggestions. Writers then inject client-specific insights, refine voice, and add authentic examples. This division of labor lets our team focus on STRATEGIC value-adding instead of basic research.The workflow: content manager inputs topic and target keywords into ChatGPT with our brand voice guidelines, AI generates research-backed outline with supporting points, writer transforms it into our authentic voice with client examples and original insights. One writer who previously produced 6 blog posts monthly now completes 11 maintaining quality because AI handles the foundation work she used to spend hours on.The platform combination that works: ChatGPT for drafting, Grammarly for editing polish, and Hemingway Editor for readability checking. This three-tool stack ensures content is well-researched, grammatically correct, and accessible. Our content quality scores improved while production speed increased because technology handles mechanical tasks while humans focus on strategic thinking and authentic storytelling.
Cluster Topics, Fill Gaps, Validate with Surfer
We use technology to streamline our content marketing workflow by treating it as a structured system rather than a series of disconnected tasks. The goal isn't just speed, but consistency and repeatability.
Everything starts with keyword research. We use Ahrefs (premium) to identify opportunities at scale and group keywords into clear clusters. Each cluster is organized around a parent topic, with supporting seed queries underneath it. This structure helps us plan content logically and ensures we're building topical depth instead of publishing isolated articles.
Once a cluster is defined, we move into content planning. We use ChatGPT to assist with outlining, but not to replace strategy. Before finalizing an outline, we review the top-ranking pages for the target keyword and compare their coverage. This helps us identify gaps—questions unanswered, angles underexplored, or use cases missing. The outline is then adjusted to fill those gaps while still aligning with what search engines already consider relevant.
After drafting, we use Surfer SEO to optimize the content. This step helps us validate on-page elements like headings, term usage, and content depth without over-optimizing. It acts as a quality check rather than a rulebook.
The final steps focus on structure and context. We add internal links to reinforce topic relationships, include relevant outbound citations where appropriate, and ensure proper tagging and formatting. This helps both users and search engines understand how each piece fits into the broader site.
Overall, the workflow moves from research to clustering, outlining, gap analysis, optimization, and linking. Using the right tools at each stage has simplified execution, reduced guesswork, and allowed us to scale content production while maintaining quality and strategic focus.
Develop Persona Research, Orchestrate Agents, Retain Judgment
My content workflow runs on two AI layers: research and execution.
For research, I use AICofounder.com. it's the most thorough research tool I've found. It builds comprehensive audience analyses and lets me create multiple personas from the same data. I've tested many tools; this one actually delivers relevant in depth research.
For execution, I run Claude Code locally. I fill the forlders with alI the researche I get from aicofounder add brand mission, marketing plan, offers, basicly everything I know about that project. Keep in mind that I easily spend 4-6 hours to put everything together correctly. After this, I build specific agents, that follow plans and handle repetitive tasks: drafting content variations, reformatting posts for different platforms, preparing analytics summaries. I review and finalize everything.
The automation extends to publishing too. Make.com and Zapier handle post scheduling and uploads across platforms.
What I don't automate: the actual strategic thinking and final voice. AI drafts, I decide. The technology handles volume and consistency; I handle judgment calls and the human nuance that makes content resonate with a specific audience.
This setup cut my content production time significantly while improving quality, because I spend my energy on decisions that matter, not tasks that don't.
Convert Audio Memos to Posts in GoHighLevel
I'm still working on this, but one of the things that has been super helpful for me is automating my post creation. I've set up a Make scenario that captures my voice texts or voice messages in Slack and then converts them, using a pre-created ChatGPT prompt, into a usable post. From there, it also creates specific images based on the kind of visuals I want and finally uploads everything into GoHighLevel, which is the system I use to actually deploy the social media posts.
I mainly use it for LinkedIn, but I also post on Instagram and Facebook just because the system makes it easy.
As far as platforms go, GoHighLevel has been the most helpful for me. It does what ManyChat does, it does what HubSpot does, and it allows you to create posts, schedule them, and communicate with people directly from inside the platform. You can also set up automations that respond to keywords.
I've even trained AI bots to handle tasks like booking appointments directly from direct messages, and they can also respond to emails or messages in a way that supports outreach. Overall, GoHighLevel has been the platform that streamlines my entire workflow the most.
