But now, it’s metamorphosing into our day-to-day sustenance. With AI transformations keeping the conversation fresh and relevant, it has become our blinding light.

According to the leading research firm Fortune Business Insights, The global AI data center market size was valued at USD 12.95 billion in 2023. The market is projected to grow from USD 15.13 billion in 2024 to USD 94.03 billion by 2032, exhibiting a CAGR of 25.7% during the forecast period.

Each day is just another opportunity to ask ourselves – what does AI have to offer in the long term? Do we actually trust it? Such questions can put tech enthusiasts in peril.

In line with the newest AI conversation in the market, the answer to this question has come to involve – Agentic AI. While you might have heard it thrown around, it’s not simply part of the tech jargon. This next step in AI innovation could drastically transform how machines and humans interact and communicate.

There’s one theme that has been consistent across the human-machine conversations – control. It’s ambitious for mankind to want control but, at the same time, forsake it all together. While humans wish to retain it, they want to relieve the decision-making chunk of it.

At large, it’s about minimizing the effort and gaining control over how much comfort we obtain.

So, we have reiterated AI as our partners instead of our tools. Where generative AI is reactive – it responds to prompts from an external stimulus – a human input; the new AI is said to be autonomous.

Was there a need for another upgrade?

Noticeably, the very first wave of AI was all about predicting – from customer behavior to forecasting market trends. Users wanted to know how to make smarter decisions instead of letting machines make them for us. The next wave carried with it – conversation and content creation.

Generative AI or AI agents lack autonomy as well as require context to function. Their decision-making is largely dependent on inputs given by humans. This is quite a one-sided interaction.

For example, consider how AI agents function as virtual helpers. They are constructed to help us with automated and repetitive tasks without a single instance to think for themselves.

After the advent of AI, we continue to overflow with uncertainty. There is a rupture to repair. The solution to this was handing over the decision-making capabilities to the machine and allowing it space to adapt.

Quite human-like, isn’t it? These functions come naturally to us; they are built into our genetics. And that’s what happened with the next transformation in AI.

The third and the current AI wave gave birth to agentic AI.

To unhand humans of complex tasks at the workplace, we could turn towards human-like instruments. Reasoning was always the determinant, but prediction and suggestive responses were the course for the initial waves of AI.

These assistants were rule-based and couldn’t adapt or act beyond the human-fed environment. How is the third wave different?

Enver Cetin, an AI expert at a global experience engineering firm – Ciklum, describes Agentic AI by defining its proactiveness. The system understands the objective of the user and the context without significant push from prompts or codes. Their priority is decision-making rather than content creation.

Another significant differentiating factor is their ability to carry out complex data sequences – from searching different databases to triggering workflows. The complex Agentic AI system is built to undertake complicated tasks with the minimum human help – from boosting sales to elevating supply chain efficiency.

But, because an autonomous machine is a complex build in itself, its system functions on an amalgamation of intricate machine learning algorithms, automation software, and NLPs. This has instigated a pivotal role for Agentic AI in the space of marketing.

It can make decisions that align with an organization’s business and brand value. Its practicality is still quite experimental, but one can only imagine the road it might take in the near future.

Where will Agentic AI end up?

In marketing, specifically, it can improve customer service by grasping their intent in a short amount of time. The customer service bots can obtain emotional responses from the customer and resolve queries based on the same. They learn from each interaction and respond accordingly.

Unique, right?

Agentic AI has transformed the age-old human versus machine debate.

From pitting one’s efficiency against the other to forming a collaborative relationship, a lot has shifted.

This innovation in AI facilitates independent action. The role of an AI model has shifted from a helper to a collaborator, with a significant amount of back-and-forth dialoguing because the need is not for another assistant that takes the commands and executes them as outlined but for a partner that takes the workload off of humans.

The simple logic?

To humanize machines to the extent where effortless automation of machines synergistically finds a balance with the human capability to think unchaperoned. Without overlapping and overshadowing the space both hold in this fast-paced society, tech wants to anchor onto each of its strengths.

The objective is to deter from the instinctive characteristics of machines and solidify their individuality – one where they make autonomous decisions. Agentic AI has the capability to process a vast amount of data, underline patterns, and derive accurate insights – ones more reliable than humans can.

They possess self-optimization capabilities in real-time in the event of fluctuations. Agentic AI can assess situations and take the most ideal course of action.

The era of this tech advancement has opened up possibilities for engineers and scientists who dreamt of this moment since the time of automation – for machines to act independently.

Glancing into a window of limitless possibilities – the future of Agentic AI.

This has instigated another discussion surrounding the limitless possibilities of AI and whether it can co-exist with humans. But techies aren’t ready to give up. The introduction of Agentic AI has transformed human-machine partnerships by fostering trustworthiness in AI and workforce specialization.

The job market is brutal, and it’s not as if humans lack specific skills, but there is a gap. Agentic AI has the power to change this. It can be behind the scenes to outline work for other agents. This form of trust across workspaces is crucial.

Generative AI has offered hallucinations and inventions out of thin air in the name of information, but Agentic AI offers the possibility to accomplish actual tasks. It has better abilities to sift through the cob-web of data and highlight reliable information to a user.

In other words, Agentic AI can work and think (close but not actually) like humans and better than its counterparts.

The promise of innovation that fosters effortlessness and convenience could be human’s downfall. It can be the bane as well as the boon. It’s too soon to derive particular conclusions because the Agentic AI system is relatively in the pilot stage. But if we could provide one single comment on its future direction, we would say – its golden future is carefully embedded within the cracks that AI automation couldn’t penetrate

As AI ramps up its capabilities, it is time to start using it now. Here’s the best 17 AI SEO tools for you.

SEO is not dead. But it is changing with AI. AI is a great disruptor, and it will not stop for a long time. But does that mean everyone working in SEO should be scared? No, it means it is time to pivot and adapt. After all, SEO is all about the customer experience.

Change is scary. But we can help each other navigate the market safely. There is an abundance of SEO AI tools that promise to boost search engine rankings and help ease the pressure off SEO teams. These tools promise to create helpful and high-quality content, improve existing content with strategic target keyword insertion, provide market research, and everything in between. These AI SEO tools might be the game-changers.

They are built to save time and help you focus on vital things.

Namely, creative strategies.

However, AI tools are abundant in the market. Which one should you go for? It will depend on your preference. And, boy, SEO analysts have a lot of preferences.

We will go through the 17 best SEO AI tools in the market. We chose them based on G2 Reviews, with at least 100 reviewers using them (at the time of writing). Most tools except Rytr, Gemini, and ChatGPT were created for SEO.

We will break down the consensus and go through the features so that you can find out which tool is the best for you.

AI SEO is part of the marketing automation toolset. The tools selected here are in no set order.

AI SEO is changing the organic landscape, but you should not be afraid to experiment.

How is AI changing SEO?

AI has long been causing disruptions in the market. And marketing seems to have taken the brunt of it. Look at how Google is changing. AI is called the End of Search.

And yet, marketers and creators alike have an optimistic view of AI in terms of growth and success.

AI has made human authenticity a necessity, and vital players in the SEO scene have understood this. SEO will change to become more human-centric and brand-focused.

It will no longer be about getting backlinks and views, but it will talk about brand values and the expertise a brand brings. EEAT, Google is looking for brands that embody this conviction.

SEO is just another part of a cohesive experience. And marketing will need the help of AI to bring this cohesion to the forefront of their campaigns. The seamless experience is not a simple task but coming together of different channels echoing a cohesive message. Yours.

And the message has to be based on the EEAT principles outlined by Google. Google understands what marketing teams need and provides clues and hints about where they should go next.

Why does a marketing team need AI SEO?

The screenshot above seems like it came out of the dreams of a graphic designer.

Simple, sleek, and clean. It is an AI snippet. And it is created through an AI SEO tool. Look at the way it integrates a seamless experience for the user. One of the foundations of SEO is to provide the rich user experience.

And AI tools will help you provide that. Either you can create your own AI tools, and good luck with that. Or you can use the tools that are available in the market.

We have selected 17 AI tools for your SEO campaigns. Let us see what they have to offer.

You can go through our list of 17 best tools in the industry. There are differences in them, and they provide a varied experience for your users and your teams.

By analyzing these tools, you can understand which one to go for per your unique needs.

You can go through our list of 17 best AI-powered SEO tools in the industry. There are differences in them, and they provide a varied experience for your users and your teams.

By analyzing these tools, you can understand which one to go for per your unique needs.

Writesonic

Price: Free and Paid Based on your requirements)

G2 Review:

• Score: 4.75/5
• Number of reviews  1,959

Writesonic is a beloved tool. One look at their g2 page, and you will understand the value it brings to the table.

Writesonic provides its users with a free demo to try and test to see if the tool resonates with them. There is a host of tools available for you. Their free tools include: –

• Sentence Rewriter
• Title Generator
• Rewording Tool
• Script Generator
• AI Content Detector
• Humanize AI Text
• AI Answer Generator
• Meta Description Generator
• Paraphrasing Tool
• Conclusion Generator
• Content Idea Generator

Of course, each free tool has its limitations, but they are rewarding nonetheless. Perfect for small teams starting and venturing to see what AI-driven SEO tools are available in the market. Other than that, Writesonic has its proprietary AI Model gateway called the GPT Router. It pulls from different LLMs like ChatGPT, Gemini, Meta AI, etc., to keep its information diverse. Its AI system then detects search intent classification and creates content for your website.

Writesonic provides:

• Real-time data on the latest topics Fact-checked, cited content.
• Competitor semantic analysis
• In-depth web research
• Automated internal linking
• Word length control
• Brand voice and style customization
• Built-in SEO-optimized content Auto-generate FAQs

AISEO

Pricing: Paid

G2 Review:

• Score: 4.6/5
• Number of reviews: 560

AISEO is dedicated to writing high-quality SEO-friendly content that targets entire SEO content lifecycle and helps companies outrank their competition.

• The AI SEO tool simplifies complex SEO tasks through automation so that SEO analysts can focus on their digital strategy.
• Creates informative and unique content for search engines and the user. This content is undetectable, maintaining your site’s integrity and uniqueness.
• Improves the readability of your content
• Has predictive analytics to help refine your effective SEO strategies.
• Multichannel content optimization and Customizable AI tools.

AISEO also provides free tools for creators to ideate and create. And free tools for the analyst.

AISEO is recommended for teams with limited resources. It will elevate your efforts and let your team focus on the message part of marketing rather than mundane and repetitive tasks..

SURFER

Pricing: Paid

G2 Review:

• Score: 4.8/5
• Number of reviews: 511

Surfer describes themselves as a 24/7 SEO expert. Providing you and your teams with every SEO tool under one belt. The tool promises to research, write, and optimize for you in under 20 minutes.

From editing to optimization— Surfer provides a broad range of AI SEO tools for their users. Surfer AI has free tools that marketing teams can use to enhance their content or create a new content strategy.

But these have limitations, and for bigger projects, you will have to use the paid versions. Whether you are a freelancer or an agency, they have options and solutions catered to your needs.

SEMRUSH

Pricing: Free/Paid

G2 Review:

• Score: 4.5/5
• Number of reviews: 2,119

Who does not know SEMrush? Often touted as the best SEO tool (uh-oh all Ahrefs users must have felt this one).

SEMrush is not a conventional AI tool. It still sees you taking most of the effort. However, with the new integration of AI, SEMrush has improved its capabilities.

Their topic research is a fantastic tool, while the SEMrush writing assistant helps the readability score and maintains a consistent tone of voice.

It is a multidimensional tool that helps SEO analysts and advertisers craft a robust keyword strategy and takes a granular approach to SEO with the assistance of AI.

Screpy

Pricing: Paid

G2 Review:

• Score: 4.7/5
• Number of reviews: 147

Screpy is an All-in-one SEO toolset. It automates most of the basic tasks.

It checks: –

• Your keyword search rankings
• Monitors the page speed
• Monitors SEO metrics
• Monitors uptime and downtime
• And syntax checkers

According to Screpy, they monitor your site’s overall health and provide updates and actions to improve it.

Screpy is priced humbly. It is a good option for budding teams learning about organic search and its process.mbly. It is a good option for budding teams learning about organic search and its process.

Scalenut

Pricing: Paid

G2 Review:

• Score: 4.7/5
• Number of reviews: 304

Scalenut calls itself the AI-generated content research and copywriting platform. Their AI creates content, does keyword research, adds automatic internal links wherever necessary, and competitor analysis.

It also has tools to identify any gaps in your content and suggest improvements or do them for you. It is a handy tool that streamlines the entire SEO content creation process.

FRASE.IO

Pricing: Paid

G2 Review:

• Score: 4.8/5
• Number of reviews: 295

Frase distinguishes itself by placing itself as an empowering tool for creators. Frase offers all the basics of an AI SEO tool for creating content and optimizing it for search results.

But it goes further and helps you create ‘Wikipedia concept maps’. Which are visualizations of connecting topics related to the query. SEMrush users will be familiar with this one.

Frase integrates with your GSC accounts to provide a comprehensive report and analysis of your queries, pages, and site health.

This AI SEO tool has a free trial, and pricing varies on the plan..

Writer Zen

Pricing: Paid

G2 Review:

• Score: 4.7/5
• Number of reviews: 201

WriterZen is workflow-centric AI SEO tool. Like all tools, it helps you research, track, and deliver SEO-optimized content.

They also provide valuable insights into keywords and titles using the Allintitle and Keyword Golden Ratio.

The all-in-title helps WriterZen find the best keywords for your strategy. On the other hand, the KGR provides keywords with levels where the all-in-title competition is low, and the search volume is high. It is an interesting concept worth exploring.

It is a paid AI SEO tool. And the plans vary according to tiers.

INK for ALL

Pricing: Paid

G2 Review:

• Score: 4.7/5
• Number of reviews: 169

INK-as-a-service. If you go to the boot camp section of INK for all, you will find that with a certification course.

Ink places itself in high esteem. They offer to save you countless hours. One of the highlights we found was the relevance task.

The AI uses state-of-the-art technology to identify what is relevant to your users and optimize your content to reflect intent. With it, you can understand the strategy of your top competitors and help you fill the gaps in your plan of action that may be missing.

There is a free trial and two tiers at varying prices.

Narrato Workspace

Pricing: Paid

G2 Review:

• Score: 4.9/5
• Number of reviews: 162

Narrato offers a boundless experience compared to its competitors. It provides a complete content workflow management system for its users, enabling them to post their content in one click on WordPress and Webflow. Narrato also provides a social media management and content creation suite.

Narrato does something different than most AI SEO tools in the market and is worth checking for its host of suites and tools. As well as their AI Content Autopilot.

They have a pro and business pricing model.

Gemini

Pricing: Free/Paid

G2 Review:

• Score: 4.4/5
• Number of reviews: 153

Gemini is not your traditional AI SEO tool. But it is free-to-use and quite helpful if you know your prompts. Like most LLMs, Gemini offers your resources to conduct research and ask for advice. Or write your content (which is not a good move). But it does create content outlines that get your creative ideas flowing.

It is also a good companion for editing. It gives you pointers to strengthen your blogs, articles, and posts. And dive deep into topics quickly. For content teams tight on budget, give Gemini a try. It does shine with its host of data.

It has a free model and a paid one.

ChatGPT

Pricing: Free/Paid

G2 Review:

• Score: 4.7/5
• Number of reviews: 578

Does this need an intro? But as an AI SEO tool, we need context. The updated version of ChatGPT is effective for many things, including SEO.

It is not a dedicated SEO tool and has its limitations. Nonetheless, this revolutionary tool elevates content and gives you tips on improving it for your strategies.

Its free version is good; the paid version is a winner. It does many things for you, especially with the 4-o update. The only drawback of ChatGPT and Gemini is that it needs good prompts to deliver compelling results.

And experimentation with those results.

Moz

Pricing: Paid

G2 Review:

• Score: 4.3/5
• Number of reviews: 497

Another big player in the SEO game, Moz Pro is a favorite of SEO analysts. There is a fair chance that every expert you know has a Moz extension.

They are trustworthy. Having entered the AI game recently, Moz has worked to improve SEO workflow and provide helpful insights with its tool. It offers a comprehensive toolset with the addition of AI.

From link building to local listing, Moz AI offers to lessen the burden on teams by automating mundane tasks.

Moz Pro has four tiers of pricing models for unique needs.

Ahrefs

Pricing: Paid

G2 Review:

• Score: 4.5/5
• Number of reviews: 534

Ahrefs is probably the most stand-out tool on this list. It is often considered the best backlink builder because of its robust data sets. And they have combined AI to create powerful analytical models.

From the content analysis tool to recommending features based on user data, Ahrefs lets its data sets create predictive analysis to enhance your strategies.

There are four pricing models in Ahrefs.

Jasper

Pricing: Paid

G2 Review:

• Score: 4.7/5
• Number of reviews: 1,243

Jasper is beyond normal AI SEO and offers tools for the entire marketing lifecycle. It is often said to be the best AI writing tool on the market.

Jasper helps you manage your account and create content in collaboration with its different users in the same team. It also has multi-language support, integration with other apps, brand voice consistency, and more.

It has three pricing models. For the business suite, you will have to contact their sales team.team.

Copy AI

Pricing: Free/Paid

G2 Review:

• Score: 4.7/5
• Number of reviews: 179

G2 Review:

• Score: 4.7/5
• Number of reviews: 179

An all-in-one sales and marketing AI tool. Copy AI has been making waves as a go-to AI SEO tool.

Their GTM-based approach to sales and marketing allows teams to create strategies based on it and lets you collaborate with teams using AI. Copy.ai enables sales and marketing alignment with its use of AI solutions.

It helps the teams craft content that ranks, does keyword research, and long-form and short-form content based on customer insights.

There is a free forever model and two pricing models for this AI SEO tool.

Rytr

Pricing: Paid/Free G2 Review:

• Score: 4.7/5
• Number of reviews: 804

Rytr is not a dedicated AI SEO tool, it is used to write content and copies. It is very well received by people who use it.

It can be used to create content of high value for better user engagement. It will help your team boost content creation process, and extract value keywords from your competitors. It is a good tool for any marketing team. It is free and has two priced models.

Using AI in a changing world can be daunting, but it is why we must experiment with what we have and strategize accordingly.

Using AI has become the norm for most marketing teams. And they are cautious and optimistic about it.

There is growing evidence that AI will not take away creative jobs. Rather, we must enhance our creativity by learning to think in new ways.

And that can only happen through a force that does not think like us or has more freedom to create connective pathways. Use AI to find what it can do for you and what it cannot.

That will make all the difference in your strategic approach and your competitors. But do not make it your sole reliance. Humans are getting better at identifying completely AI-generated material, even when humanized.

FAQs

Can SEO be done by AI in 2025?

Currently, AI is performing basic SEO tasks. SEO reporting is one of them. Also, keyword tracking, basic on-page optimization, and website analysis will be automated. But, it wont fully replace SEO expertise in strategy creation, report creativity, and changing SEO methods according to trends. AI supports SEO, but human input is still essential for long-term success.

Is AI writing good for SEO?

No, AI writing can be a go to go outline for writer to write content quickly. But on the other hand, to ensure quality, engagement, and relevance, the subject experts need to be involved. At the end, human expertise is important to deliver relevancy, quality, and freshness.

Is AI a threat to SEO in 2025?

AI is not necessarily a threat to SEO, but it will change the approach how SEO was being executed.
It still requires human oversight for strategy and creativity but here the basic SEO involvement will be gone. Every AI tool is a thread for those tasks that follow limited rules.

Generative AI is transforming the AI game, advancing assistive technology, speeding up app development, and giving users access to significant capabilities.

Generative AI is emerging rapidly, signaling a paradigm shift for companies across almost all sectors. We must fully comprehend the enormous disruptive potential and unforeseen threats presented by these rapidly developing technologies. Only by responsibly enhancing the competitiveness of our organizations can we create AI success stories.

The hype cycle for emerging technologies recently positioned generative AI at the “peak of inflated expectations,” according to Gartner. According to Gartner’s model, which evaluates a technology’s potential and maturity after two to five years, the technology will eventually start to offer real advantages as it develops. A prominent topic in this Hype Cycle that is opening up new avenues for innovation is emergent AI, which includes generative AI as one of its subthemes. This blog presents the current state of generative AI, the shift, and the potential.

The State of Generative AI

Generative AI is disrupting the technological landscape. It is a class of artificial intelligence models that, given only a textual or visual cue, can generate original, high-quality data like text, computer code, graphics, or other content.

Many businesses are testing ChatGPT and other sizable language or image models. They have typically found them to be remarkable in terms of their capacity to communicate difficult thoughts. The majority of users know that these systems are trained on internet-based information and can’t reply to queries or prompts regarding confidential information. The simplicity with which something can be accomplished, as well as the expanding accessibility of software, increases significantly when that capability is combined with a feed of a person’s information, utilized to adapt the what, when, and how of an engagement.

Research institutions and a thriving open-source community will frequently challenge the state of the art with innovation. The development of generative AI has been astounding, with capabilities growing dramatically each year. The potential for generative AI is limitless at this significant point of technological development.

The Shift

Although artificial intelligence technology has been around for years, creating apps that use it to address business problems has always been difficult and expensive. Before OpenAI came into the picture, businesses needed to resolve many significant issues before developing AI-based applications. Before creating a prototype or an application, businesses had to overcome challenges like acquiring internal AI knowledge, constructing the appropriate infrastructure, and choosing and refining the models. However, by commoditizing the use of commercialized large language models (LLMS) through straightforward APIs and interfaces like ChatGPT, OpenAI has fundamentally transformed the field.

More than ever, businesses can use AI’s potential with the availability of LLMs and user-friendly APIs. It is crucial to acknowledge that, given the rapid improvements in AI technology, there has occasionally been resistance to using ChatGPT, mainly because of concerns about its capabilities and potential abuse. However, there is no denying the immense promise of technologies like ChatGPT created with LLMs.

The Potential

Generative AI will have a strong impact across all sectors. The sectors that could experience the greatest impact from generative AI as a percentage of their revenues are banking, high-tech, customer operations, marketing and sales, and life sciences. It can alter the nature of work by increasing individual workers’ capacities by automating some of their particular tasks. The potential of generative AI to transform how knowledge works in various sectors of the economy and corporate operations has astounded and delighted the world. It is ready to change roles and improve performance across different industries, including software development, customer operations, and sales and marketing.

With technological advancements, more use cases are coming up every day, enabling greater automation of operations and greater efficiency. But before generative AI can reach its full potential, organizations need to resolve many implementation issues. As technology advances, we may anticipate seeing more generative AI applications and services in various industries, which will speed up innovation and economic growth. We don’t know what the future holds, but the choices we make today will surely influence it.