Key Takeaways
- Adoption is near-universal, but humans stay in control. Most marketers now use AI for content, yet very few let it write entire pieces unsupervised. AI handles the heavy lifting; people keep control of quality and voice.
- Productivity is the clearest win. Teams using AI publish more content and save meaningful time, the most consistent benefit across the data.
- Quality and trust are the real battleground. As AI content floods the web, the marketers winning with it pair AI speed with human editing, fact-checking, and a distinct point of view.
- Search is shifting underneath you. AI Overviews and AI-driven search are changing how people find content, making answer engine optimization matter more than sheer volume.
Open any marketing team’s browser tabs right now, and there’s a good chance one of them is ChatGPT; maybe two. And that’s not a hunch.
In Ahrefs’ survey of 879 marketers, 87% said they use AI to help create content, and it’s paying off in volume, at least. Teams using AI publish 42% more content each month than those that don’t.
But here’s the part that doesn’t get talked about as much: very few marketers are letting AI run the show. Only 4% use it to write entire pieces of content. The rest are using it for the grunt work (outlines, first drafts, headline ideas, the dreaded meta descriptions) and keeping a human hand on the wheel for everything else.
So, the question has shifted. It’s less “should we use AI?” and more “how much, where, and what happens to quality, trust, and search visibility when we do?”
That’s what these AI content marketing statistics below dig into. You’ll find how marketers are actually using AI, what it’s doing to productivity and ROI, how it’s changing SEO in the age of AI Overviews, and where the risks sit.
AI in Content Marketing Market Size and Investment
- AI users: $2,475 average monthly content spend (Ahrefs).
- Non-AI users: $2,442 average monthly content spend (Ahrefs).
- Publisher spending on AI content tools represents 8.7% of their editorial technology budget (Presenc AI).
- 52% of teams are going to invest more in AI for video production (Wistia)
AI Adoption and Usage in Content Marketing
- 67% of small businesses already use AI for content and SEO (Semrush)
- The share of marketers not using AI for blog creation dropped from 65% to 5% in two years (Typeface).
- 97% of content marketers plan to use AI to support their content marketing in 2026, up from 90% in 2025, 83.2% in 2024, and 64.7% in 2023 (Siege Media + Wynter)
- 51% of marketers were using generative AI in 2023 (Salesforce)
- 64% of marketers were already using generative AI in 2024 (HubSpot)
- 88% of marketers rely on AI in their current jobs (SurveyMonkey)
- 93% of marketers who use AI use it to generate content faster (SurveyMonkey)
- 50% of marketers create content with artificial intelligence (SurveyMonkey)
- 80% of marketers now use AI for content creation (HubSpot)
- 86.4% of marketing teams now use AI (HubSpot)
- 95% of B2B marketers say their organizations use AI-powered applications (Content Marketing Institute)
- Out of 879 responses, 769 (87%) reported using AI to create or help create content (Ahrefs).
- 45% of marketers use AI to brainstorm content ideas (SurveyMonkey)
- Nearly 73% of marketing professionals say they’re now using AI to generate content (Botco via MediaPost).
- 26% of marketers surveyed are already using generative AI for their content production (Deloitte Digital)
- 51% of marketers use AI tools to optimize content, from email campaigns to search engine optimization (SurveyMonkey)
- 82% of businesses that report content marketing success already use AI (SEMrush)
- 90% of content marketers planned to use AI to support their content marketing in 2025 (Siege Media + Wynter)
- 66% of marketers globally already use AI (HubSpot)
Productivity and Efficiency Gains in Content Marketing with AI
- Marketers save roughly three hours per piece of content created with AI (HubSpot).
- 84% of marketers using AI are creating content more efficiently (HubSpot)
- Jasper helped the 2X marketing team write SEO blogs 50% faster (Jasper).
Artificial Intelligence Content Creation and SEO Impact
- The median monthly publishing frequency using AI was 17 articles, compared to 12 for those not using AI (Ahrefs).
- 74% of new webpages now include some form of AI content (Ahrefs)
- 39% of marketers noticed increased organic traffic after publishing AI content (Semrush)
- 65% of companies achieve better SEO results thanks to AI (Semrush)
- Traditional search engine volume will drop 25% by 2026, with search marketing losing market share to AI chatbots and other virtual agents (Gartner).
- 91.4% of pages cited in AI Overviews contain some amount of AI-generated content (Ahrefs)
- There are now over 1.3 billion videos on TikTok labeled as AI-generated (TikTok via Fast Forward).
- 25.6% of marketers say AI content outperforms human content (CoSchedule)
- 64% of marketers believe AI content performs equal to or better than human content (Semrush)
- 67% of businesses see an improvement in content quality when using AI (Semrush)
- 40.6% of marketers are updating their SEO strategy for AI-powered search engines (HubSpot)
- 88.1% of queries that trigger AI Overviews are informational (SEMrush)
- AI Overviews now result in a 58% lower average clickthrough rate for top-ranking pages, up from 34.5% in April 2025 (Ahrefs).
- Nearly 24% of marketers are exploring updating their SEO strategy for generative AI in search (HubSpot).
- 74% of companies struggle to achieve and scale value from AI (BCG)
- 96.55% of web pages receive zero organic traffic from Google (Ahrefs)
- 89% of marketing pros say generative AI generally improves the quality of their content (HubSpot)
- 71% of marketers say AI helps them create significantly more content (HubSpot)
- 84% of bloggers think AI/automation helps them better align web content with search intent (HubSpot)
- Many brands’ organic search traffic is expected to drop 50% or more by 2028 as customers embrace generative AI-powered search (Gartner).
- 77% of gen AI-using marketers use it for creative development—the most common use case (Gartner)
- 90% of businesses are worried about the future of SEO and online findability (Smarty Marketing)
- 85.7% of businesses are already investing or planning to invest in optimizing for AI and LLMs (Smarty Marketing)
- 61.2% of businesses plan to increase their SEO budget due to AI (Smarty Marketing)
- A substantial 83.7% of businesses are investing in AI visibility, which includes optimizing for AI search (Smarty Marketing).
- 53% struggle to make their content stand out in an AI-saturated market (HubSpot)
- 52% believe AI has made content so easy to create that it’s become less effective overall (HubSpot)
- 49% of marketers report that web traffic from search has decreased due to AI answers (HubSpot)
- 58% note that AI referral traffic demonstrates higher intent (HubSpot)
- LLM-generated leads have increased by 1,850% (HubSpot).
- Only 4% of marketers use AI to write entire pieces of content (HubSpot).
- 86% of marketers who use AI to make written content edit it before publishing (HubSpot)
- Experts cited by Europol estimate that as much as 90% of online content may be synthetically generated by 2026 (Europol).
- ⚠️ SECONDARY SOURCE: A 54% increase in the volume of content needed to be produced in the last year (Deloitte Digital via B&T).
- AI Overviews have grown by 116% since the March Core Update (Ahrefs).
- AI Overviews show for 9.46% of all keywords on desktop (Ahrefs).
- AI Overviews show for 16% of all keywords in the US (Ahrefs).
- ChatGPT handles roughly 1.6 billion search-like queries a day, about 12% of Google’s search volume (Ahrefs).
- 43% of AI Overviews point back to Google (SE Ranking)
- Visitors from common AI platforms like ChatGPT and Perplexity visit four pages on average (Ahrefs).
- Visitors from common AI platforms visit 1.5 fewer pages than overall visitors (Ahrefs).
- AI users view 2.27 pages per unit of session time (Ahrefs).
- AI visitors are 5.4% more likely to bounce than the average user overall (Ahrefs).
- 7 in 10 searchers never read past the first third of an AIO (Growth Memo)
- Traditional search engine volume will drop 25% by 2026 (Gartner).
- AI-generated summaries reduce the average click-through rate by 15.5% (Amsive).
- The decline in click-through rate can reach as high as 20% for non-branded searches (Amsive).
- 90% of marketers use AI for text-based tasks (Social Media Examiner)
- 90% of marketers use AI for idea generation (Social Media Examiner)
- 89% of marketers use AI for draft creation (Social Media Examiner)
- 86% of marketers use AI for headline writing (Social Media Examiner)
- A page ranking in position one gets cited in Google’s AI Overviews nearly 25% of the time (Conductor).
- Visitors referred by AI platforms spend 68% more time on websites than those from traditional organic search (in the cited dataset) (SE Ranking).
- About 30% of keywords trigger AI Overviews in US SERPs (in the cited dataset) (SE Ranking).
- The niches with the highest AI Overview presence include relationships (~61%), business (~57%), education (~50%), and food and beverage (~46%) (SE Ranking).
- AI Overviews with six to 14 links are most common (in the cited dataset) (SE Ranking).
- 68.94% of websites receive AI traffic (in the cited dataset) (SE Ranking)
- ChatGPT accounts for over 77% of all AI-driven visits (in the cited dataset) (SE Ranking).
- 99% use other tools for content and SEO in addition to AI (Semrush)
- 47% of respondents use AI for email/newsletters (Ahrefs)
- 34% of respondents use AI for ad copy (Ahrefs)
- 29% of respondents use AI for video scripts (Ahrefs)
- 17% of respondents use AI for ebooks (Ahrefs)
- 15% of respondents use AI for whitepapers (Ahrefs)
- 63% of marketers use AI for editing/rewriting content (Ahrefs)
- 53% of marketers use AI for crafting/optimizing headlines (Ahrefs)
- 19% of marketers use AI for creating images (Ahrefs)
- 23% of marketers use AI for keyword clustering (Ahrefs)
- 21% of respondents reported that human-written and AI-generated content were “roughly the same” quality (Ahrefs)
- 34% believe AI and human content rank roughly the same (Ahrefs)
- 32% don’t know which ranks better (Ahrefs)
- 23% believe human content ranks better (Ahrefs)
- 11% believe AI content ranks better (Ahrefs)
- 36% of AI users were negatively impacted by Google updates (Ahrefs)
- 40% of non-AI users were negatively impacted by Google updates (Ahrefs)
- 4% of AI users received manual penalties (Ahrefs)
- 3% of non-AI users received manual penalties (Ahrefs)
- The median year-over-year growth for AI users was an estimated 29%, and 24% for non-AI users (Ahrefs).
- AI use allows companies to publish 42% more content each month (Ahrefs).
- 75% of marketers use AI for media production (HubSpot)
- 86% of marketers plan to increase research budgets in 2026 (Typeface)
- Among marketers publishing original data, 64% report higher conversion rates and 61% report stronger SEO performance and organic traffic (Typeface).
- Most people (65%) regard human-written content as better than AI-generated content (Ahrefs).
- Unedited AI content performs 34% worse in AI search citations (Presenc AI).
- AI content detection tools achieve 89% accuracy on fully AI-generated unedited content (Presenc AI).
- 72% of publishers now use AI tools in their editorial workflow (Presenc AI)
- 31% of publishers use AI for first-draft generation (Presenc AI)
- 41% of publishers use AI for research/outline assistance only (Presenc AI)
- Google’s March 2025 core update reduced rankings for 61% of sites with over 80% AI-generated unedited content (Presenc AI).
| Metric | 2024 | 2025 | 2026 |
| Estimated AI-assisted pages published per month | 82M | 189M | 312M |
| % of top-100 publishers using AI tools | 41% | 62% | 72% |
| Content marketing teams with AI-first workflows | 8% | 18% | 33% |
| Freelance writers using AI assistance | 52% | 71% | 84% |
- AI content detection accuracy for AI-assisted (outline/research only, human-written): 42% in 2026, up from 34% in 2024 (Presenc AI).
- False positive rate for purely human-written content: 8% in 2026, down from 14% in 2024 (Presenc AI).
- Brands maintaining the same output volume saw a 7% average increase in AI platform citations (Presenc AI).
- 28% of publishers use a hybrid approach with AI generating sections that are then rewritten by editors (Presenc AI)
- 85% of marketers say AI is reshaping their SEO strategy (Salesforce)
- 88% of marketers have already begun optimizing for AI-generated responses for places like ChatGPT and Google’s AI Overview (Salesforce)
AI Content Production ROI, Revenue, and Cost Savings
- Using Jasper for a project, Amplitude saw an 88% cost reduction compared with traditional writing methods (Jasper).
- AI blog posts have an average cost of $131 (Ahrefs).
- Human blog posts have an average cost of $611 (Ahrefs).
- Only 31% actively encourage customers to share UGC or incorporate it into their content (Emplifi).
- 75% of marketers report measurable ROI from AI (HubSpot)
- 64% of marketers report increased productivity from AI, and 55% report time savings (HubSpot)
Personalization and Customer Experience
- 77% of marketers using AI for email personalization report improved content relevance (HubSpot)
- 78% of marketers say they need more personalized content than they’re able to produce (Salesforce)
- 75% of marketers are turning to AI to help close the gap in personalized content production (Salesforce)
- 96% of marketers agree that personalization increases buyer loyalty (HubSpot)
Challenges, Concerns, and Trust
- 60% of marketers who use generative AI to make content are concerned it can harm their brand’s reputation due to bias, plagiarism, or misalignment with brand values (HubSpot)
- 49% of US consumers agree that gen AI has made the quality of available content worse (Gartner)
- 57% of Gen Z and millennials agree that gen AI has made content quality worse (Gartner)
- 70% of people say they find it hard to trust online information because they can’t tell if it’s AI-generated (Statista)
- 27% of respondents whose organizations use gen AI say employees review all content created by gen AI before it is used (McKinsey)
- 52% of consumers engage less with content they believe is AI-generated, even before confirming it (Bynder)
- 26% of consumers find AI-generated website copy impersonal (Bynder)
- 20% deem AI-generated social media posts untrustworthy (Bynder)
- 98% of consumers agree that “authentic” images and videos are pivotal in establishing trust with brands (Getty Images)
- Lack of accuracy was the biggest barrier to adopting AI in content marketing (60%) (Ahrefs).
- 57% of marketers cite plagiarism as a barrier to AI adoption (Ahrefs)
- 36% of marketers cite bias in AI content as a barrier to AI adoption (Ahrefs)
- 35% of marketers cite brand voice consistency as a barrier to AI adoption (Ahrefs)
- The biggest perceived risk of using AI content was sharing misinformation (62%) (Ahrefs).
- 56% of marketers perceive a worse user experience as a risk of AI content (Ahrefs)
- 37% of marketers perceive reputation damage as a risk of AI content (Ahrefs)
- 36% of marketers perceive reduced rankings as a risk of AI content (Ahrefs)
- Copyright or intellectual property concerns rank no. 5 among marketers’ generative AI concerns (Salesforce).
- 61% of marketers believe expressing your brand’s point of view is critical when working with AI (HubSpot)
- Although 94% of US social media users think they encounter online content made by or changed with AI, less than half (44%) are confident they can identify gen AI photos and videos (CNET).
- Many US adults (72%) said they take action to determine whether an image or video is real, but some don’t do anything, particularly boomers (36%) and Gen X (29%) (CNET).
- Half of US adults (51%) believe AI-generated and edited content needs better labeling (CNET).
- 1 in 5 (21%) believe AI content should be prohibited on social media, with no exceptions (CNET)
- 43% of marketers say generative AI sometimes produces inaccurate information in 2025 (HubSpot)
- About 30% of consumers actively look for labels or disclosures on AI-generated images and video, and 60% look for AI cues (IAB).
- 52% of social users are concerned about brands posting AI-generated social content without disclosing it (Sprout Social)
- Only 16% of companies that use AI disclose its use in their content (Ahrefs).
- Disclosure was most common among micro companies (23% disclose) (Ahrefs).
- Enterprise companies (14.71% disclose) (Ahrefs).
- Heavy AI users (26% of companies using 76-100% AI content disclose) (Ahrefs).
- The top barriers to AI adoption are data privacy concerns (41%), lack of time or training (39%), and tools that don’t connect well with existing systems (34%) (HubSpot).
Workforce and Future Outlook
- Freelance content writing jobs declined -30% since the launch of ChatGPT (Imperial Business School).
- Freelance graphic design jobs declined -17% since the launch of ChatGPT (Imperial Business School).
- Writing gigs on Upwork dropped 32% year over year in 2025 (Vollna).
- Entry-level freelance opportunities on Upwork fell below 9% in 2025, down from 15% the prior year (Vollna).
- 83% of US marketing leaders would reduce spending on agencies if they could fully automate content creation (Typeface)
- 73% of teams that have adopted AI agents have already cut their content creation spending on agencies (Typeface)
- 91% of US senior agency leaders expect AI to reduce headcounts, and over half (57%) have slowed or paused entry-level hiring because of this trend (Sunup)
Channel-Specific AI Usage and Performance
- 47% of AI-using marketers use AI for emails and newsletters; 46% for text-based social posts; 46% for video/social scripts (HubSpot)
- 41% of marketers used AI for video creation in 2025, up from 18% in 2024 (Wistia)
- Pre-production is where most teams use AI for video production at 51% (Wistia).
- 69% of marketers are interested in learning video content creation with AI (Social Media Examiner)
- 91% of businesses now use video as a marketing tool in 2026 (Wyzowl)
- Social videos will account for over 10% of all US time spent with digital media (eMarketer).
- Brands using Litmus’ dynamic, personalized email content saw an average 76% increase in clickthrough rate (Litmus).
- 73% of marketers are prioritizing short-form video formats (Emplifi)
- AI-generated content is most commonly used for emails and newsletters (51%), social media posts (49%), and blog posts (46%) (HubSpot).
AI Content Tools and Technology Landscape
- ChatGPT is used by 46.8% of respondents for content creation, followed by Gemini (15%) and Claude (10%) (Ahrefs).
- 77% of the AI tools listed by respondents fall into the LLM category (Ahrefs)
- The AI writing assistant software market is projected to exceed $12.3 billion by 2032 (Global Market Insights via GlobeNewswire).
- Cloud-based AI writing tools held over 75% market share in 2023 (Global Market Insights).
- The AI writing assistant software market is projected to grow at a CAGR of over 25% from 2024 to 2032 (Global Market Insights).
- Jasper is used by 3.9% of respondents (Ahrefs).
- Perplexity is used by 3.3% of respondents (Ahrefs).
Keep a Human on the Byline
AI has earned its spot in the content workflow. It’s faster at first drafts, sharper at spotting patterns, and tireless with the repetitive stuff nobody wants to do at 5 PM on a Friday.
What the numbers keep pointing back to, though, is balance. Most marketers pair AI with human writing, and 73% combine the two for content creation. The teams getting the best results tend to use AI as a collaborator: it speeds up the work, and people handle the judgment, voice, and fact-checking that readers (and search engines) still reward.
That matters more now than it did a year ago. AI Overviews and chatbots are reshaping how people find content, audiences are getting better at sniffing out generic copy, and trust is harder to win back once it slips. Volume alone won’t carry you.
So, use the tools; just keep a person in the loop, with a clear point of view and a willingness to say something that sounds like your brand and nobody else’s.
Want to build a content strategy that puts AI to work without losing what makes your brand worth reading? As an AEO agency in the Philippines, Spiralytics can help you find the right mix.
Contact us today to find out more.
Frequently Asked Questions
Marketers primarily use AI for content creation tasks like editing and rewriting (63%), crafting headlines (53%), brainstorming ideas (45%), and optimizing content for SEO (51%). Only 4% use AI to write entire pieces, with most keeping a human in the loop for final review and quality control.
AI content marketing has mixed SEO effects; 65% of companies report better SEO results with AI, and 39% saw increased organic traffic. However, AI Overviews now cause a 58% lower average clickthrough rate for top-ranking pages, and many brands expect organic search traffic to drop 50% or more by 2028.
AI is most commonly used to generate emails and newsletters (51%), social media posts (49%), and blog posts (46%). Marketers also use AI for ad copy (34%), video scripts (29%), ebooks (17%), whitepapers (15%), and images (19%).
AI content marketing poses real brand voice risks; 35% of marketers cite brand voice consistency as a barrier to AI adoption, and 26% of consumers find AI-generated copy impersonal. However, 67% of businesses report improved content quality with AI, provided human editing and oversight remain part of the workflow.
AI content marketing saves roughly three hours per piece of content; 84% say they create content more efficiently; and teams using AI publish 42% more content per month. One workflow example reduced production time from 25 to 36 hours per week to approximately five hours per week.
Seventy-five percent of marketers report measurable ROI from AI content marketing. AI blog posts average $131 per piece compared to $611 for human-written posts, and purpose-built AI content engines can deliver publication-ready articles for $50 to $100 each, including human review, representing an average production cost reduction of 42%.
Some of the risks of AI content marketing include spreading misinformation (62%), worse user experience (56%), and reputation damage (37%). Additional concerns include accuracy issues (60%), plagiarism (57%), and bias (36%). Consumer trust is also a challenge, as 70% of people struggle to trust online content they suspect is AI-generated.
Leading AI content marketing involves a hybrid model where AI handles drafts, outlines, and research while humans manage editing, fact-checking, and brand voice; 86% of marketers edit AI content before publishing, 62% of high-performing teams use hybrid workflows, and maintaining an original human perspective helps build audience trust.
AI content marketing adoption has accelerated sharply; 86.4% of marketing teams now use AI, up from 51% in 2023, and 97% plan to use it by 2026. Teams are shifting to AI-first workflows, with 72% of publishers integrating AI into editorial processes and 18% of content teams already operating AI-first in 2025.
