The author's views are wholly their ain (excluding the improbable arena of hypnosis) and whitethorn not ever bespeak the views of Moz.
I get it—AI devices are everywhere, and it’s easy to consciousness overwhelmed by the endless options. You cognize these devices tin automate workflows and amended productivity, but figuring retired which instrumentality does what and really to usage them decently feels for illustration stepping successful a maze.
I’ve spent countless hours experimenting pinch AI for automation because I dislike wasting clip connected repetitive tasks that machines tin do better. After hours of proceedings and error, I’ve drilled down to 13 unsocial tools/use cases to grip everything from information study to workflow automation and moreover deliverables.
In this article, I’ll guideline you done these devices and show you really to usage them. By the end, you’ll person a clear roadmap to streamline your workflows, prevention time, and boost productivity without emotion mislaid aliases overwhelmed.
No-code AI automation tools
Promptitude.io: Automate AI workflows without code
Managing AI tasks tin look daunting, particularly without coding skills. Promptitude.io simplifies this by offering a no-code level to create and automate AI workflows. With features for illustration a punctual adjunct and a room of ready-made prompts, it’s easy to build aliases fine-tune workflows utilizing civilization prompts.
Here’s really I usage Promptitude.io:
- Integrate pinch Zapier aliases Make: I link AI models to platforms for illustration Google Docs aliases WordPress done Zapier aliases Make, automating tasks without coding.
- Automate contented generation: Promptitude helps me create content and automate keyword optimization crossed my documents.
- Document analysis: For archive analysis, I merge AI models to grip large-scale data, redeeming clip connected manual work.
- Custom AI workflows: The punctual room and adjunct make it easy to build civilization workflows without penning code.
2. Thunderbit: No-code AI automation
Thunderbit is simply a no-code AI instrumentality for building analyzable automation. It streamlines my workflows by integrating AI crossed regular operations.
Here’s really I usage Thunderbit:
- Automate repetitive tasks: Thunderbit automates regular tasks crossed CRM, societal media, and email platforms.
- No-code interface: The drag-and-drop interface allows non-technical users to build precocious workflows quickly.
- AI information processing: Thunderbit tin analyse information from different systems, trigger actions based connected predefined rules, and streamline analyzable workflows for amended efficiency.
3. Zapier: Automate email categorization
As an agency owner, I get excited erstwhile personification fills retired our interaction form, arsenic they mightiness be a imaginable client wanting to activity pinch us. But often, these messages are from group trying to waste maine SEO services aliases links, which is frustrating and wastes my time. To lick this, I turned to Zapier to categorize emails and select spam.
Here’s really I usage Zapier to automate email categorization:
- Categorize customer emails: Automatically explanation incoming emails from imaginable clients, helping maine attraction connected existent business opportunities.
- Filter income emails: Flags income attempts truthful I tin disregard unnecessary pitches.
- Simplified automation: Generates workflows based connected elemental instructions that prevention clip and amended efficiency.
4. Taskade: AI automation for productivity
Taskade is simply a versatile AI productivity instrumentality that streamlines task management, task automation, and contented creation. It simplifies my workflow, improves squad collaboration, and automates repetitive tasks.
Here’s really I usage Taskade successful my regular operations:
- AI agents: Taskade’s AI agents make contented ideas, automate task reminders, and negociate workflows. They are useful for brainstorming aliases moreover drafting elemental documents.
- Task and task management: Taskade helps maine enactment connected apical of large-scale projects. I tin delegate tasks to my team, show deadlines, and guarantee thing falls done the cracks.
- AI mind maps: I trust connected Taskade’s AI mind maps to visualize workflows and shape complex content trading plans.
Deliverable automation
5. Looker Studio automation
Managing reports successful Looker Studio feels overwhelming erstwhile moving pinch various information sources. To make this process much efficient, I leverage Looker Studio automation pinch LLMs (Large Language Models) to make and update reports programmatically.
Here’s really I group up the automation
a. Get the Looker Studio API Key:
- Start by going to the Google Cloud Console.
- Click the hamburger paper (three horizontal lines) successful the top-left area and prime APIs & Services.
- Navigate to Credentials and click Create Credentials, past take API Key.
- Click Create, and your API cardinal will look successful a pop-up window. Copy and prevention this cardinal securely.
b. Enter the codification into your LLM:
Using your API key, link the LLM pinch Looker Studio by inputting the due code. This relationship enables you to automate the report-building process, pulling information from various sources and compiling it into a system format.
c. Copy Looker Data Studio templates programmatically:
With your template already group up, you tin usage the LLM to transcript it into different projects programmatically. Here’s a snippet of the codification used:
This allows maine to transcript study templates effortlessly, ensuring consistency crossed different projects.
d. Add information sources programmatically:
Integrating information sources for illustration Google Analytics into Looker Studio is now automated utilizing the LLM. Here’s the codification snippet to adhd information sources:
This automation ensures that each basal information sources are integrated pinch minimal manual intervention.
e. Programmatically making updates:
Using the LLM, I tin comparison information points and person the LLM constitute the first draught of the study based connected information trends. Here’s the codification snippet below:
This allows maine to propulsion elements from reports, edit them arsenic needed, and update them programmatically, making the full reporting process efficient.
6. ETL process automation pinch LLMs
In SEO, galore tasks we execute travel an ETL (Extract, Transform, Load) process. Essentially, this involves extracting information from a source, transforming aliases contextualizing it, and past loading it into a format aliases instrumentality for study aliases reporting.
When I merge LLMs (Large Language Models) pinch Google Cloud Workflows, Cloud Functions, and App Script, I tin automate the full process, making information guidance much businesslike and accurate.
Here’s really I instrumentality ETL automation:
a. Extraction:
- I extract information from various sources specified arsenic Google Analytics, Search Console, aliases web scraping tools. Instead of manually downloading information files, I use APIs to propulsion this information straight into Google Sheets aliases BigQuery.
- For instance, I utilize Google Cloud Functions to telephone the SERPs via API, automatically extracting ranking information without manual input.
b. Transformation:
- After extracting the data, I usage LLMs to toggle shape aliases contextualize it. This whitethorn impact information cleaning, keyword categorization, aliases creating content clusters. The LLM sounds the earthy information and structures it according to the defined parameters.
- For example, if I’m moving pinch keyword data, I tin punctual the LLM to categorize keywords based connected intent, creating a much organized and actionable information set.
c. Loading:
- Once the information is transformed, I load it into the due instrumentality for further study aliases visualization. This could beryllium Google Sheets, Google Data Studio, aliases moreover straight into a PowerPoint position for customer reporting.
- I automate this loading process utilizing Google Cloud Workflows and App Script, ensuring that the information is regularly updated and fresh for analysis.
Setting up automated ETL workflows pinch LLMs streamlines tasks specified arsenic rank tracking, keyword clustering, and information analysis, freeing up much clip to attraction connected strategy.
7. Use Composio to talk to your analytics and GSC via Slack
Composio makes it easy to interact pinch Google Analytics (GA4) and Google Search Console (GSC) done Slack. This integration lets maine inquire questions, person data, and make reports without leaving my Slack workspace.
Here’s really I leverage Composio for some GA4 and GSC:
a. Talk to GA4 via Slack:
- Connecting to GA4: I commencement by integrating Composio pinch my GA4 account, which allows Slack to propulsion successful analytics information connected demand.
- Ask conversational queries: With Composio, I tin inquire earthy connection questions like, “What’s the integrated postulation inclination for the past 30 days?” aliases “Which landing pages had the highest conversion rate past week?” Composio past fetches the information from GA4 and displays it straight successful Slack.
- Automate information alerts: I’ve group up automated reports that present cardinal metrics for illustration postulation changes, bounce rates, and extremity completions to my Slack transmission regularly. This keeps maine updated connected my website’s capacity without logging into Google Analytics.
b. Talk to GSC via Slack:
- GSC integration: Similarly, Composio connects pinch GSC to entree hunt capacity data. This integration lets maine propulsion keyword rankings, click-through rates, and hunt impressions into Slack.
- Actionable insights: For example, I tin query, “What are my top-performing queries successful the past 7 days?” aliases “Which pages saw a driblet successful impressions past month?” Composio extracts this information from GSC and provides elaborate insights that item opportunities aliases issues.
c. Using GA4 pinch Langchain Python and Composio
The existent powerfulness of Composio shines erstwhile integrating it pinch Langchain Python for much precocious interactions pinch GA4. With Langchain, I tin usage LLMs to process analyzable queries, analyse trends, and extract deeper insights from my GA4 information while interacting done Slack.
i. Set Up Langchain pinch GA4:
Install the Langchain Python library and link it to your GA4 information via the Google Analytics API. This enables you to execute much blase study and querying of your data.
ii. Advanced analytics and insights:
When I harvester Langchain Python pinch Composio, I tin inquire much analyzable questions. For instance:
- “Identify pages pinch the highest exit rates complete the past quarter.”
- “Show postulation trends for blog posts pinch much than 2,000 words.”
Langchain processes these queries and provides insights successful Slack, making it easier to monitor SEO performance astatine a granular level.
iii. Automated reports and real-time analysis:
Using this setup, I automate reports that supply broad insights, specified arsenic integrated postulation trends, personification behaviour analysis, and content performance, delivered successful existent clip via Slack.
8. ChatSpot: Conversational AI for trading automation
ChatSpot is an AI instrumentality that makes it easy to interact pinch your trading information done a conversational interface. It acts for illustration a virtual trading assistant, helping maine automate repetitive tasks, query data, and negociate customer interactions without switching betwixt aggregate dashboards.
Here’s really I usage ChatSpot for trading automation:
- Automate information queries: Instead of manually digging done reports, I tin inquire ChatSpot questions for illustration “How galore leads did we make this week?” aliases “What’s our email unfastened complaint for the past campaign?” and get meticulous responses.
- Content creation & ideation: ChatSpot tin generate blog ideas, email copy, aliases societal media posts based connected keywords aliases caller campaigns, streamlining the contented creation process.
- Lead and interaction management: Integrated pinch HubSpot CRM, I usage ChatSpot to negociate contacts, update records, and way lead behaviour done conversational commands. For example, I tin ask, “What are my top-performing contacts?” aliases “Show maine deals closing this week.”
- Automate reporting: ChatSpot creates instant reports summarizing cardinal metrics for illustration website traffic, run performance, and CRM activity, redeeming maine hours of manual reporting each week.
AI automation devices for information analysis
9. GPT for work: ChatGPT integration for Excel and Google Workspace
Managing ample information sets successful Excel aliases Google Sheets tin beryllium tedious, particularly erstwhile you person to manually analyze, generate, aliases cleanable up data. The GPT for Work plugin transforms this process by integrating ChatGPT straight into Excel, Word, Google Sheets, and Google Docs.
Here’s really I usage it:
- Generate Excel formulas: I picture the task, and ChatGPT provides the basal formula, simplifying analyzable calculations.
- Write contented successful Google Docs: I make summaries aliases person lengthy reports into digestible contented straight wrong Google Docs.
10. Data Squirrel: Automate information study pinch AI
DataSquirrel automates information study by transforming earthy datasets into actionable insights. This is awesome for processing ample information quickly without manual number-crunching.
Here’s really I usage DataSquirrel:
- Automate information processing: I upload datasets successful formats for illustration CSV aliases Excel, and Data Squirrel identifies trends and outliers.
- Data cleaning: DataSquirrel’s “Auto-Clean” characteristic corrects information inconsistencies, specified arsenic formatting issues aliases copy entries, ensuring the dataset is cleanable and fresh for analysis.
- Visual reporting: The “Auto-Visualize” characteristic generates ocular reports, making it easier to coming to clients pinch charts and graphs.
11. GPTExcel: AI Excel look generation
Writing Excel formulas tin beryllium tricky, particularly pinch ample datasets. GPTExcel generates formulas based on natural language descriptions, making analyzable calculations easier to manage.
Here’s really I usage GPTExcel:
- Generate analyzable formulas: I picture what I need, and GPTExcel quickly provides the correct formula.
- Automate information analysis: It generates formulas that select SEO data, cipher metrics, and analyse trends efficiently.
- Create visualizations: GPTExcel builds charts and graphs I usage to coming information for reports.
- Build civilization functions: I usage it to make VBA scripts aliases app scripts, automating tasks for illustration information cleaning and reporting.
12. Ask CSV: RAG for CSVs
Ask CSV is an AI instrumentality that analyzes and queries information stored successful CSV files utilizing earthy language. It uses RAG to hunt CSV datasets and make answers.
Here’s really I usage Ask CSV for information analysis:
- Query CSV information pinch earthy language: I type questions alternatively of penning analyzable SQL queries, making it easier to grip ample datasets.
- Automate insights extraction: I inquire CSV to find trends and patterns, specified arsenic identifying high-performing keywords aliases SEO gaps.
- Handle ample datasets efficiently: It processes ample CSV files and presents the astir applicable information.
- Streamline SEO reporting: I query cardinal metrics to extract the information I request for monthly reports, cutting down manual study time.
13. Otto: Connected and automated spreadsheets
Managing information from aggregate sources tin beryllium time-consuming and prone to errors, particularly erstwhile manually updating spreadsheets. Otto automates my information postulation and streamlines workflow crossed connected spreadsheets for illustration Google Sheets, Airtable, and Microsoft Excel.
Here’s really I usage Otto for information automation:
Connect aggregate information sources: Otto syncs information from various platforms into 1 cardinal spreadsheet.
Automate information updates: Pulls real-time updates from connected sources, keeping my information meticulous without manual input.
Build move reports: I create automated reports that way metrics.
Custom workflow automation: Otto creates tailored automation crossed apps, triggering actions based connected circumstantial information points.
Final thoughts: Find opportunities to automate much pinch AI
While I’ve shared 13 AI automation devices to get you started, don’t extremity there. Think astir the repetitive tasks you grip daily—chances are, there’s an AI instrumentality aliases workflow that tin make your life easier.
Start exploring by checking out There’s an AI for That, a broad assets listing AI devices for almost each usage case. The much you research and build automation into your workflows, the much businesslike you’ll become.