Bluesky for PPC: What you need to know

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Bluesky for PPCs- What you need to know

Bluesky is quickly gaining attention as a growing social media platform – but what does that mean for the PPC community? 

Here’s what you need to know and how to prepare for potential ad opportunities

What is Bluesky?

Bluesky is a social media platform that was originally founded as a research initiative at Twitter in 2019. 

After becoming an independent company in 2021, it launched its invite-only beta in 2023 before opening to the public in February 2024.

As of writing, Bluesky has a total of 33.1 million registered users, and its growth shows no signs of slowing down.

How does Bluesky differ from other social media platforms?

The platform, which describes itself as “social media as it should be,” has a similar look and feel to how X appeared back when it was Twitter. 

Like most social media platforms, it allows users to post, repost, like, and share content.

The most significant difference between Bluesky and many other platforms is that it is decentralized, meaning it allows users to host their own data and create custom feeds. 

This helps reduce the risk of data breaches and puts control back in the hands of users.

This decentralized approach, combined with the platform’s strong content moderation tools, is highly appealing to social media users who have become discouraged by recent changes to platforms such as X.

An example of content moderation controls available for Bluesky users
Above: An example of content moderation controls available for Bluesky users

So, how can I advertise on Bluesky?

Slow your horses!

There is no advertising on Bluesky.

While they haven’t ruled out the possibility of ads being available in the future, advertisers won’t be able to add Bluesky to their PPC strategy anytime soon.

Even if or when Bluesky does introduce advertising, it is likely to look different from the models used by other social media platforms.

Speaking to CNBC in November, COO Rose Wang stated that while the company is open to the idea of including ads on the platform, they don’t want it to be an “intrusive experience.”

She referenced Reddit’s advertising model as an example of a more intent-based approach to ads.

Dig deeper: PPC keyword strategy: How to align search intent with funnel stages

If there are no ads, then how is Bluesky making money?

Bluesky is funded by investors and venture capital firms.

In November, Bluesky announced it was developing an optional subscription model. Subscriptions are rumored to provide users access to additional features, such as the ability to use a custom domain in their username and higher video upload limits.

Why ads on Bluesky would be a good thing

While there aren’t any opportunities to advertise on Bluesky, that doesn’t mean the time won’t come. 

With a growing user base and increasing operational costs, Bluesky will likely to introduce some.

When that happens, here are some reasons why PPC advertisers might want to give it a try:

  • PPC advertisers are becoming increasingly frustrated with the developments – or lack thereof – on platforms like Meta and LinkedIn, which have long dominated the market.
  • The introduction of Bluesky to advertisers’ PPC strategy would allow them to try something new and potentially avoid the grievances and pitfalls they are experiencing on other advertising platforms.
  • Early adopters are likely to gain an advantage over competitors if they quickly embrace any potential advertising openings.
  • Opportunities to be the first business in your niche to advertise on a platform are rare, so advertisers could benefit from staking their claim early and cementing their presence.
  • Bluesky’s strong focus on privacy, moderation, and protection from misinformation could offer advertisers a more brand-safe advertising opportunity.

With recent reports of Google Ads placements appearing on illegal and compromising websites, PPC advertisers have increasing and legitimate concerns regarding where their ads are displayed.

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Why ads on Bluesky might not be a good thing

If Bluesky introduces advertising, PPC advertisers should also consider potential drawbacks. These concerns include:

  • One of the biggest challenges in advertising on Bluesky stems from what makes it unique – its decentralized approach. While this is appealing and important for users, it may complicate advertising due to data and privacy restrictions.
  • Depending on the type of advertising model offered, PPC advertisers may need to rethink their targeting and messaging strategies, which could limit their efficiency.
  • Many Bluesky users have migrated from X, seeking a platform that values privacy over profit. As a result, Bluesky users are more likely to resist advertising, which could impact ad performance in terms of driving leads or sales.
  • Early adopters of new technology often face challenges such as technical bugs and unknown performance benchmarks. Not all businesses may be in a position to take on such risks if or when advertising reaches the Bluesky platform.

What should PPC advertisers be doing now?

In preparation for the likely launch of some form of advertising model on the platform, there are steps PPC advertisers can take now:

1. Claim your handle

Advertisers should secure the handle for their business or clients to ensure they have access to usernames that accurately represent their brand. 

For example: 

  • https://bsky.app/profile/searchengineland.bsky.social 
A screenshot of the Search Engine Land account on Bluesky
Above: A screenshot of the Search Engine Land account on Bluesky

2. Explore the platform

Advertisers should spend time navigating Bluesky to:

  • Understand its interface.
  • Identify the types of organic content that perform well.
  • Become familiar with the platform’s extensive moderation tools.

3. Build an organic presence

By posting content and engaging with the community, advertisers can build trust and recognition for their brand. 

This proactive approach can help businesses connect with Bluesky’s user base – especially if the audience remains resistant to traditional ads.

What’s next?

PPC advertisers will need to hold off a little longer before adding Bluesky to their PPC strategy.

However, with the platform growing rapidly, some form of advertising model is likely to arrive within the next 18 months – and we’ll be sure to keep you updated.

Dig deeper: Here’s why PPC now looks more like paid social and what it means

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How to use Google Search Console for keyword research

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How to use Google Search Console for keyword research

When it comes to keyword research, SEO professionals often rely on expensive tools to find the right keywords. 

However, Google Search Console (GSC) provides a completely free way to access insights straight from Google itself.

GSC is a powerful and often underused tool that shows exactly what is working on a site and where improvements can be made.

Unlike other keyword research tools that provide generic suggestions and estimated data, GSC delivers real-life search data based on actual searches leading to a website. It can often uncover interesting insights.

Here’s how to use GSC to find valuable keyword opportunities and improve rankings.

Why use Google Search Console for keyword research?

Google Search Console is a goldmine for keyword insights. Here’s why you should use it.

  • Free and requires no subscriptions: Many SEO tools require costly subscriptions, but GSC is completely free, making it accessible to businesses of all sizes.
  • Provides real keyword performance data: Most keyword research tools provide estimated search volumes, but GSC shows actual data on searches that lead users to your site, ensuring accuracy.
  • Helps identify keywords with high optimization potential: Analyzing existing keyword rankings allows you to optimize content and improve visibility with small tweaks.
  • Uncovers content gaps and new topic opportunities: GSC reveals queries that may not have been intentionally targeted but are already driving traffic, providing ideas for new content.
  • Tracks keyword performance over time: You can monitor how rankings fluctuate, which keywords are growing in importance, and how search behavior is evolving.
  • Helps understand search intent: By analyzing query data, you can refine content to better match user intent and increase engagement.
  • Provides device-specific insights: Performance can vary between desktop and mobile users, and GSC helps fine-tune SEO strategies accordingly.

Dig deeper: 6 vital lenses for effective keyword research

5-step process for using Google Search Console

Step 1: Discover what you’re already ranking for

Rather than focusing solely on new keywords, GSC helps identify keywords that are already ranking but could perform better with some optimization.

How to find ranking keywords

  • Log into Google Search Console and select a website.
  • Click on Performance > Search Results.
  • Scroll down to the Queries section to see the search terms leading visitors to the site.

What to look for

  • Keywords ranking in positions 11-30 (Pages 2-3 of Google). These have potential to break into Page 1 with slight optimizations.
  • Unexpected keywords that weren’t intentionally targeted but are ranking anyway, presenting new content opportunities.
  • High-impression, low-CTR keywords, indicating that page titles or meta descriptions may need optimization to improve click-through rates.
  • Seasonal search trends, allowing content to be optimized ahead of high-traffic periods.
  • Queries with declining CTRs, which may indicate changing search intent or increased competition.

Dig deeper: Why traditional keyword research is failing and how to fix it with search intent

Step 2: Find new blog topics

GSC is useful for content ideation by revealing long-tail search queries that are ideal for blog topics.

How to do it

  • Navigate to the Performance report and look for long-tail search queries.
  • Identify keywords that are not well-covered on the site.
  • Create dedicated blog posts answering those exact queries.
  • Optimize existing content by incorporating these new long-tail keywords naturally.
  • Cross-link between related blog posts to build topical authority.

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Step 3: Identify and manage irrelevant keywords

GSC can also reveal irrelevant search terms bringing traffic to a site. Some queries may drive traffic that does not align with the intended audience, leading to vanity traffic that skews reports.

How to manage irrelevant search terms

  • Identify keywords bringing in non-relevant traffic that do not contribute to conversions or engagement.
  • Adjust on-page content and metadata to clarify the intent of the page.
  • Use negative keywords in paid search campaigns if these terms are also appearing in PPC reports.
  • Monitor engagement rates and session duration for traffic from these terms to assess engagement levels.

Example

  • If a bathroom renovation site ranks for “how to clean a kitchen splashback,” that traffic is unlikely to convert into meaningful engagement.
  • Identifying and minimizing such cases ensures that a site is optimized for relevant search terms.

Step 4: Track overall keyword performance

GSC provides detailed performance tracking without the need for a paid keyword tracking tool.

Key metrics to check

  • Total clicks: The number of visitors coming from search results.
  • Total impressions: The number of times a site appears in search results.
  • Click-through rate (CTR): The percentage of users who click after seeing a result.
  • Average position: The ranking in Google search results.
  • Branded vs. non-branded search terms: Understanding the balance between brand visibility and new audience acquisition.
  • Device-specific performance: Identifying whether certain keywords perform better on mobile vs. desktop.

Unlike most SEO tools that limit the number of keywords tracked, GSC offers unlimited data on how a site is performing.

Step 5: Monitor and adjust regularly

SEO requires ongoing monitoring and adjustments. 

Google’s algorithms evolve, competitors optimize, and search trends change. 

Regularly checking GSC data helps refine content strategies over time.

Quick SEO wins using GSC

  • Find and optimize underperforming pages with high impressions but low CTR.
  • Prioritize content updates for topics already driving traffic.
  • Fix technical SEO issues flagged in Search Console, such as slow-loading pages or mobile usability errors.
  • Create new content based on keyword discoveries.
  • Identify and address keyword cannibalization by ensuring the right page is ranking for a given query.
  • Use internal linking strategically to strengthen authority for key landing pages.

Dig deeper: How to use Google Search Console to unlock easy SEO wins

More advanced strategies

While not strictly related to keyword research, ensuring that any errors are dealt with can help with achieving a deeper understanding of keywords. 

After all, if a page isn’t indexed due to a technical issue, then no amount of tweaking to the content will help.

Identifying errors

The URL Inspection tool in GSC is invaluable for understanding how Google views and indexes a specific page. 

You can use it to troubleshoot indexing problems and ensure that pages are properly crawled.

How to use it

  • Open Google Search Console and navigate to the URL Inspection Tool.
  • Enter the URL of the page you want to inspect.
  • Click Enter to see the latest indexing status.
  • Review key insights, including:
    • Indexing status: Is the page indexed or not?
    • Crawl errors: Identifies issues preventing the page from appearing in search results.
    • Canonical URL: Ensures that Google recognizes the correct version of the page.
    • Last crawl date: Shows when Google last crawled the page.
    • Rendered page view: Displays how Googlebot sees the page.

If the page is not indexed, click Request Indexing to prompt Google to crawl it again.

If there are errors, follow the recommendations provided and resolve issues such as robots.txt blocking, noindex tags, or canonical conflicts.

By regularly inspecting URLs, you can ensure that critical pages are properly indexed and visible in search results.

Dig deeper: How to fix ‘Crawled – Currently not indexed’ error in Google Search Console

International SEO

For websites targeting multiple countries, understanding geographic search performance can help refine international SEO strategies and localize content for different markets.

How to use it

  • In Google Search Console, navigate to Performance > Search Results.
  • Click on the Countries tab to see a breakdown of traffic by region.
  • Identify which countries are driving the most organic traffic and how search trends vary between locations.

Dig deeper: Advanced SEO: How to level up your keyword strategy

Harness Google Search Console for SEO wins

Google Search Console is a powerful and often overlooked tool for keyword research.

It provides real data directly from Google, showing exactly how a site is performing in search.

  • Use it to find quick-win keyword opportunities.
  • Identify new content ideas based on real user searches.
  • Eliminate vanity traffic that does not convert.
  • Track performance trends and adjust SEO strategies accordingly.

By using GSC effectively, you can uncover high-impact opportunities, refine strategies, and drive meaningful improvements in search performance – all without spending a penny on keyword research tools.

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Generative AI use surging among consumers for online shopping: Report

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AI retail traffic

Traffic from generative AI surged to U.S. retail sites over the holiday season and that trend has continued into 2025, according to new Adobe data.

Between Nov. 1 and Dec. 31, traffic from generative AI sources increased by 1,300% compared to the year prior (up 1,950% YoY on Cyber Monday). 

This trend continued beyond the holiday season, Adobe found. In February, traffic from generative AI sources increased by 1,200% compared to July 2024. 

The percentages are high because generative AI tools are so new. ChatGPT debuted its research preview on Nov. 30. 2022. Generative AI traffic remains modest compared to other channels, such as paid search or email, but the growth is notable. It’s doubled every two months since September 2024.

By the numbers. Findings from Adobe’s survey of 5,000 U.S. consumers found AI generates more engaged traffic:

  • 39% used generative AI for online shopping, with 53% planning to do so in 2025. 
  • 55% of respondents) use generative AI for conducting research.
  • 47% use it for product recommendations.
  • 43% use generative AI for seeking deals.
  • 35% for getting gift ideas.
  • 35% for finding unique products. 
  • 33% for creating shopping lists.

One of the most interesting findings from Adobe covers what happens once generative AI users land on a retail website. Compared to non-AI traffic sources (including paid search, affiliates and partners, email, organic search, social media), generative AI traffic shows:

  • More engagement: Adobe found 8% higher engagement as individuals linger on the site for longer. 
  • More pages: Generative AI visitors browse 12% more pages per visit
  • Fewer bounces: They have a 23% lower bounce rate. 

Yes, but. While engaged traffic is good, conversions are better.

  • Adobe found that traffic from generative AI sources is 9% less likely to convert than traffic from other sources.
  • However, the data shows that this has improved significantly since July 2024, which indicates growing comfort.

Generative AI for travel planning. In February 2025, traffic to U.S. travel, leisure and hospitality sites (including hotels) from generative AI sources increased by 1,700% compared to July 2024. In Adobe’s survey, 29% have used generative AI for travel-related tasks, with 84% saying it improved their experience. 

The top use cases amongst AI users include:

  • General research, 54% of respondents.
  • Travel inspiration, 43%.
  • Local food recommendations, 43%.
  • Transportation planning, 41%.
  • Itinerary creation, 37%.
  • Budget management, 31%.
  • Packing assistance, 20%. 

Once users land on a travel site, Adobe Analytics data shows a 45% lower bounce rate.

Gen AI for financial services research. In February 2025, traffic to U.S. banking sites from generative AI sources increased by 1,200% compared to July 2024. 

Adobe’s survey of U.S. consumers found 27% have used generative AI for banking and financial needs. The top use cases include:

  • Recommendations for checking and savings accounts, 42%.
  • Asking for explainers on investment strategies and terminology, 40%.
  • Creating a personalized budget, 39%.
  • Understanding the tax implications of financial decisions, 35%. 

Once generative AI traffic lands on a banking site, visitors spend 45% more time browsing (versus non-AI sources).  

About the data. Adobe’s data comes from the company’s Adobe Analytics platform and is based on more than 1 trillion visits to U.S. retail sites. Adobe also launched a companion survey of more than 5,000 U.S. respondents to understand how they use AI daily.

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AI search engines often make up citations and answers: Study

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AI search engines and chatbots often provide wrong answers and make up article citations, according to a new study from Columbia Journalism Review.

Why we care. AI search tools have ramped up the scraping of your content so they can serve answers to their users, often resulting in no clicks to your website. Also, click-through rates from AI search and chatbots are much lower than Google Search, according to a separate, unrelated study. But hallucinating citations makes an already bad situation even worse.

By the numbers. More than half of the responses from Gemini and Grok 3 cited fabricated or broken URLs that led to error pages. Also, according to the study:

  • Overall, chatbots provided incorrect answers to more than 60% of queries:
    • Grok 3 (the highest error rate) answered 94% of the queries incorrectly.
    • Gemini only provided a completely correct response on one occasion (in 10 attempts).
    • Perplexity, which had the lowest error rate, answered 37% of queries incorrectly.

What they’re saying. The study authors (Klaudia Jaźwińska and Aisvarya Chandrasekar), who also noted that “multiple chatbots seemed to bypass Robot Exclusion Protocol preferences,” summed up this way:

“The findings of this study align closely with those outlined in our previous ChatGPT study, published in November 2024, which revealed consistent patterns across chabots: confident presentations of incorrect information, misleading attributions to syndicated content, and inconsistent information retrieval practices. Critics of generative search like Chirag Shah and Emily M. Bender have raised substantive concerns about using large language models for search, noting that they ‘take away transparency and user agency, further amplify the problems associated with bias in [information access] systems, and often provide ungrounded and/or toxic answers that may go unchecked by a typical user.’” 

About the comparison. This analysis of 1,600 queries compared the ability of generative AI tools (ChatGPT search, Perplexity, Perplexity Pro, DeepSeek search, Microsoft CoPilot, xAI’s Grok-2 and Grok-3 search, and Google Gemini) to identify an article’s headline, original publisher, publication date, and URL, based on direct excerpts of 10 articles chosen at random from 20 publishers.

The study. AI Search Has A Citation Problem

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As AI scraping surges, AI search traffic fails to follow: Report

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AI search crawlers, user agents, and bots

AI-powered search engines (e.g., OpenAI’s ChatGPT, Perplexity) are failing to drive meaningful traffic to publishers while their web scraping activities increase. That’s one big takeaway from a recent report from TollBit, a platform that says it helps publishers monetize their content.

CTR comparison. Google’s average search click-through rate (CTR) was 8.63%, according to the report. However, the CTR for AI search engines was 0.74% and 0.33% CTR for AI chatbots. That means AI search sends 91% fewer referrals and chatbots send 96% less than traditional search.

Why we care. This is bad news for publishers because it shows AI search won’t replace traditional search traffic. As AI-generated answers replace direct website visits, you should expect to see this trend continue.

By the numbers. AI bot scraping doubled (+117%) between Q3 and Q4 2024. Also:

  • The average number of scrapes from AI bots per website for Q4 was 2 million, with another 1.89 million done by hidden AI scrapers.
  • 40% more AI bots ignored robots.txt in Q4 than in Q3.
  • ChatGPT-User bot activity skyrocketed by 6,767.60%, making it the most aggressive scraper.
  • Top AI bots by share of scraping activity:
    • ChatGPT-User (15.6%)
    • Bytespider (ByteDance/TikTok) (12.44%)
    • Meta-ExternalAgent (11.34%)
  • PerplexityBot continued sending referrals to sites that had explicitly blocked it, raising concerns about undisclosed scraping.

Context. One company, Chegg, is attempting to sue Google over AI Overviews. Chegg claims Google’s search feature has severely damaged its traffic and revenue.

About the data. There’s no methodology section, so it’s not entirely clear how many websites were analyzed, just that it’s based on “all onboarded ToolBit sites in Q4.” Toolbit says it “helps over 500 publisher sites.”

The report. TollBit State of the Bots – Q4 2024 (registration required)

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Google Ads expands PMax negative keyword limits

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What Google’s new Performance Max controls mean for advertisers

Google Ads is significantly increasing the negative keyword limit for Performance Max (PMax) campaigns, raising the cap from 100 to 10,000 per campaign, aligning with Search campaigns.

By the numbers:

  • Previous cap: 100 negative keywords per PMax campaign
  • New cap: 10,000 negative keywords per PMax campaign
  • Rollout timeline: Next few weeks for all PMax advertisers

Why we care. Advertisers had expressed frustration that the previous 100-keyword limit was too restrictive, limiting control over where their ads appeared. The update provides greater flexibility while maintaining campaign effectiveness.

The big picture: Google Ads Liaison, Ginny Marvin says the cap ensures system flexibility while giving advertisers more control, in her update on X. She also advises using negative keywords carefully to avoid limiting conversions.

What’s next: Google is working on further enhancements, including support for negative keyword lists in PMax later this year. Advertisers can also use tools like brand exclusions and account-level negative keywords for additional control.

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Google expands Message asset to Performance Max

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Top 5 Google Ads opportunities you might be missing

Google is adding more engagement options to Performance Max campaigns, adding Message assets alongside those already available in Search campaigns.

What’s new:

  • The Message assets functionality, previously exclusive to Search ads, was spotted by digital marketer Emirhan Bayutmuş and is now available in Performance Max campaigns.
  • This feature allows users to initiate conversations with businesses directly from ads, enhancing engagement.
  • Google has updated their message asset help document to reflect this update.

Why we care. The expansion gives advertisers another way to connect with potential customers directly through chat-based interactions, potentially improving conversion rates.

What to watch. Expect further integration of conversational ad formats as Google continues to refine its AI-driven ad experiences.

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SEO isn’t just 10 blue links anymore by Edna Chavira

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Search has transformed. AI-powered results, featured snippets, “People Also Ask,” and Google’s Search Generative Experience (SGE) are redefining how — and where — visibility happens.

Join Wayne Cichanski, Vice President of Search & Site Experience at iQuanti for SEO Beyond Just the Ten Blue Links! He’ll share a data-driven SEO 2.0 framework designed to help brands systematically claim high-impact search shelf-space — and convert visibility into measurable results.

In this live session, you’ll learn:

  • How to analyze and win across modern SERP features
  • A blueprint for aligning structured data, content, and intent
  • Real-world strategies for navigating SEO volatility

Whether you’re leading digital strategy or scaling performance SEO, this session will reshape how you think about search. Save your spot today!

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Google Search is 373x bigger than ChatGPT search

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Giant robot vs little robots

Despite being a popular talking point, people aren’t (yet?) abandoning Google Search and using ChatGPT search or other AI chatbots.

In fact, the number of Google searches increased year over year, and Google Search handles 373 times more searches than ChatGPT, according to a new analysis by SparkToro co-founder Rand Fishkin.

Why we care. Many search marketers, users, and analysts have speculated that AI tools are reducing Google’s dominance in search. However, this research finds no evidence that vast numbers of searchers are abandoning Google for ChatGPT and other AI search engines and chatbot experiences.

By the numbers. Even if all ChatGPT’s 1 billion messages per day were search-related, its total share of the search market would be less than 1%. (ChatGPT used search to answer 46% of queries, and only 30% of ChatGPT prompts fell into “traditional” search-like behavior, according to a Semrush study.)

  • Google saw more than 5 trillion searches in 2024, or about 14 billion per day, giving it a 93.57% market share.
  • ChatGPT saw an estimated 37.5 million search-like prompts per day, giving it a 0.25% market share. That’s less than Microsoft Bing (4.10%), Yahoo (1.35%), and DuckDuckGo (0.73%).
  • Google saw ~373 times as many searches as ChatGPT in 2024.

More Google searches. The number of Google searches grew 21.64% in 2024, compared to 2023, based on Datos data.

  • This data seems to confirm what Alphabet/Google CEO Sundar Pichai said about AI Overviews increasing search usage (“we are seeing an increase in search usage among people who use the new AI Overviews…”).

But. Just because people are searching more doesn’t necessarily mean Google is sending as many clicks or as much traffic to websites. As a reminder, an estimated 60% of Google searches ended without a click in 2024. That means more than 3 trillion searches in 2024 ended without a click.

Dig deeper. Survey: 54% of people look through more search results vs. 5 years ago

The report. New Research: Google Search Grew 20%+ in 2024; receives ~373X more searches than ChatGPT.

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How to use ChatGPT Tasks for SEO

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How to use ChatGPT Tasks for SEO

ChatGPT Tasks might be the most underrated tool in SEO today.

It can turn a single employee into a vast team – but only if you know how to use it.

And in this article, you’re about to see the future of SEO.

What is ChatGPT Tasks?

ChatGPT Tasks is a tool within ChatGPT designed to automate various tasks, including those related to SEO, such as content generation, keyword research, and link building.

This feature allows users to schedule tasks to run at specific times, either as one-time events or recurring actions, enhancing workflow efficiency and productivity.

As of writing, it’s in beta and rolling out to users on the Plus, Pro, and Team plans.

How to use ChatGPT Tasks: The basics

The key to maximizing ChatGPT Tasks is to approach it strategically and leverage its capabilities fully.

Start by identifying specific tasks you want to automate, such as:

  • Creating blog post outlines.
  • Generating meta descriptions.
  • Researching competitor backlinks. 

Then, explore the tool’s features and experiment with different prompts to find the most effective workflows for your needs.

ChatGPT Tasks is powerful, but it’s not a magic solution. 

You must carefully review and refine the output to ensure it aligns with your brand and SEO strategy.

Efficiency gains: The secret to ChatGPT Tasks

One of the reasons ChatGPT Tasks is so powerful is that it optimizes your time.

As an SEO professional using AI, your role will shift from doing work to checking work. That means you need to maximize your efficiency.

In the past, SEOs often outsourced work to overseas staff in different time zones. ChatGPT Tasks changes this.

Now, you can outsource tasks to AI, ensuring they are ready for you when you start your day.

Here’s how I use ChatGPT Tasks: At 7 a.m., AI sends me a batch of completed work.

Beyond that, I’ve also used Tasks to generate content throughout the day.

For example, I set up a content prompt that delivers product description pages to me every 30 minutes. (More on that later.)

Essentially, this feature allows you to maximize “dead time” – periods when you aren’t actively working. 

While it doesn’t mean the tool is working around the clock, it ensures you get what you need when needed. 

For instance, if you ask it to send you something at 7 a.m., it likely generates it at 6:59 a.m.

But I don’t need to know how it works. I just care that I get what I asked for.

Dig deeper: How to use OpenAI’s Deep Research for smarter SEO strategies

How to use ChatGPT for SEO tasks

To use ChatGPT Tasks effectively, think of your role as an army commander.

You are the SEO in charge of 1,000 other SEOs who can complete any task you assign. Your job is to plan efficiently.

Here’s how:

How to access ChatGPT Tasks
  • Go to ChatGPT and select GPT-4o with scheduled tasks.
  • Ask GPT to send you a task and specify when you want to receive it.

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How to think in terms of tasks

One challenge I initially faced was figuring out which tasks to automate.

This will vary by individual, but the key is to think in terms of scale.

What recurring tasks would provide the most value if they were handled automatically?

Here are a few examples:

You should come up with more, but these examples illustrate what’s possible.

Account management

Here’s a sample prompt:

“These are my SEO clients and their tasks: (insert list).

Each day at 5 p.m., send me a list of these clients, ask what work has been completed for the month, and provide an updated task list.

Also, ask me about any new tasks, and add them to the list. Then, each day at 7 a.m., send me an updated list of outstanding tasks.

Your precise output will be:

  • A morning list (7 a.m.) summarizing clients and tasks.
  • An evening list (5 p.m.) with the same summary, plus a request for updates.
  • The next morning, an updated list based on my responses.

Do you understand?”

This prompt acts as a mini account manager – and yes, it works remarkably well.

Content creation

Content creation is essential for SEO, and the quality of AI-generated content depends on the specificity of your prompt.

Initially, I experimented with ChatGPT Tasks, and it worked superbly. 

Every 30 minutes, my inbox received fresh content, from landing pages to product descriptions.

One limitation of Tasks is that you can’t upload a spreadsheet. However, you can provide a list of pages you want to generate content for. 

With a well-crafted prompt, the output is solid.

Are the drafts perfect? No, but they’re good starting points. 

They often require refinement, but they save significant time.

Now, you might wonder – why deliver content every 30 minutes?

I do this to ensure GPT is creating what I want. 

If I received 10 product pages all at once and they were off the mark, I’d have to redo them all. 

With smaller, frequent deliveries, I can monitor quality and adjust as needed.

Dig deeper: Automate SEO analysis with Google Sheets, GSC & ChatGPT API

Page titles

Many SEOs focus on page title optimization, and ChatGPT Tasks makes this process easier.

I use a “dueling” method, where GPT generates multiple page title variations. 

I then run them through a tournament-style evaluation to select the best one based on preset criteria.

Social media post ideas

Generating a steady stream of fresh and engaging social media content can be time-consuming. ChatGPT Tasks can help streamline this process.

Here’s an example prompt:

Social media post prompt

The output of that prompt looks like this:

Social media post output

This is just one of the many prompts I use. 

While I only implement about 5% of the generated ideas, they often lead to new inspiration – especially on days when I’m feeling stuck.

Industry news summaries

Staying on top of industry news is essential for SEO professionals. 

With ChatGPT Tasks, you can automate this process.

Each morning at 7 a.m., I receive a curated list of SEO and AI news from my preferred sources.

The future of tasks

SEO workflows are rapidly evolving with AI, and ChatGPT Tasks represents a significant step forward.

I suspect there’s still untapped potential. Could I schedule an entire week’s worth of SEO tasks in advance?

For example, if I know I need to work on a client’s account on Wednesday at 11:30 a.m., could I schedule ChatGPT to conduct research or analyze content beforehand?

Looking further ahead, it may eventually ask you what needs to be done – and then suggest the best way to execute it using Tasks. 

OpenAI may even develop a single model to streamline this process.

While ChatGPT Tasks is still in its early days, I believe it will evolve rapidly.

My advice? Start mastering it now.

Dig deeper: 15 AI tools you should use for SEO

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