In recent years, there has been a notable uptick in the public interest behind SEO Automation despite the underlying technology not being new. If we include all available applications in the SaaS space focused on either substantially automating or fully automating any section of the SEO lifecycle, we can easily count hundreds and hundreds of them. We see products focused on the keyword research task. We see tools for the on-page optimization step, who go through one or many documents to optimize and rank higher on search engines thanks to automation.

Automation should be considered mainly a measure of increasing productivity and performance. Because SEO is understood to be mostly a “white-collar” task, and due to the type of task involved and the amount of days, hours and tasks performed by dedicated SEO departments of organizations, SEO Automation tools are often considered as accomplishing completely passing the task rather than augmenting the work but it’s clearly that this assumption separates SEO budget amounts from other advertisement budget accounts that do considering fully passed automation. Clearly, if these automations do not create the value they declare, they do not become yet another SaaS space. This paper organizes and concentrates both the function and the results of the most established tools of the SEO Automation space, coming to a conclusion on what factors amply contribute to the performance of the group of organized tasks and why.

Understanding SEO Automation

SEO automation is not a new topic; it is perhaps as old as SEO itself. Since the invention of computers, SEOs have been using programming languages and applications to automate processes, be it Search Engine Rank Tracking, Link Monitoring & Profile Auditing, or Indexing Reports. We have seen rank tracking tools use an automated method to capture keyword performance. With input scripts integrated into spreadsheets, any SEO with a programming background can bulk web scrape and query. As XML sitemaps came into play, web crawlers with web accessibility features also had automated components for website audits. Even reporting took automation chapters with various applications and services for web mockups and snapshots.

SEO automation uses the principle of machine learning wherein scripts are run by these automated tools to help SEOs to monitor daily audited reports. This saves time for many.

Definition of SEO Automation

Search engine optimization (SEO) covers a vast breadth of web marketing activities. It involves optimizing the website and external signals for visibility increases in natural search engine results. These activities are hosted in multiple channels, including a brand’s website, mutual links with other websites, social network communities, and mobile device applications. SEO draws on theory and practices from information retrieval, applied linguistics, and web development; while SEO is a means for web traffic generation, it can serve other ends such as conversions and joint marketing. Organizing web content and other signals, to maximize relevance for search needs of customers and clarify for search engines ranking of the offering over the competition, is the overarching goal.

Achieving these goals typically involves four steps: analysis, implementation, monitoring, and improvement. SEO project teams spend considerable time analyzing the site structure and content of the business and its competitors, reviewing link path networks, and organizing shopper keywords into structured hierarchies based on searcher’s intent and goals. After finalizing the plan, they implement a large number of small changes to various crucial aspects of the business’s presence on the Internet, upgrade the IT backend, and source content before finally moving on to periodic monitoring and adjustment to the site structure. Step 1 – analysis – is typically repeated about 2–3 times annually, as search engine business rules evolve and periodic reviews of available keywords and competitive behavior around them are warranted. Implementation usually occurs as ideas beget opportunities, and progress on such opportunities occurs. The remaining two steps are carried out on a more carefully devised schedule based on search engine behavior and competitive actions.

Importance of SEO in Digital Marketing

Search engines are the main tool that people use to look for information in websites. It is then not strange that a company’s site being in the first positions of these results means that it will receive most of the users visiting the search results. Basically, the more optimized for search engines the site is, the more visitors it will receive. This is these search results’ organic traffic to the site. So basically, optimization of the site for these search engines is paramount for companies to attract inexpensive traffic. From this simple logic, it can be understood how important SEO is for digital marketing. In addition, SEO can bring benefits such as trust gain. Users tend to trust more sites that appear in the first positions of the organic search results. And there are still more advantages. SEO has the best ROI for companies in B2C and it is also the third best for companies in B2B. Furthermore, and because of how cyberspace has been evolving, SEO has been an important tool in segmentation and it can create personas for companies, helping them to be more profitable. Because of these factors, companies do not usually have budget constraints when it comes to investing in SEO strategies. They simply try to get the best results with the most critical budget of their marketing department. And therefore, to alleviate some of the burden of optimizing the company’s webpage, among other related tasks, it is common to hire a specialized SEO agency. The services these companies provide can range from additional manpower when the in-house team lacks health or competence to execute that task to a high-end SEO consulting service, helping companies building their strategy specifically for their type of business.

Types of SEO Automation Tools

Given the wide variety of SEO tools available today, it is difficult to know whether automation will increase productivity or merely increase information anxiety. SEO is an important concern for any company hoping to generate revenue from online inquiries. That, in itself, is enough to generate interest in using SEO tools to make the job of optimizing for search more expeditious. But, with possibly thirty or more different task categories to consider and further as-deep-as-you-want-to-dig subcategories within each task category, narrowing your search is crucial. It makes sense to first define the major task categories. After all, the just-stated key word is “task.” These are the jobs that need to get done, and efficiency should be of just as much concern to the business paying for the tools as it is to the professionals using them. No professional SEO wants to pay for tools that don’t save them time, or at the very least, add not costly levels of productivity. The following categories summarize the functions of most of the available automation tools.

SEO Keyword Research Tools are services that automate the seemingly simple task of generating keyword lists and parsing keyword lists as to demand for and competitiveness of the keyword—preferably with data from all of the major sources of keyword value to the SEO in question.

The task of On-Page SEO Optimization can be costly unless you use a tool that simply provide bulk analysis on demand for the optimization-specific tasks of keyword list to article family mapping, link structure, on-page keyword optimization deselection on multivariate types of pages, duplicate content analysis, robots.txt and sitemap.xml, server error, and dead link creation, and page-loading time.

Keyword Research Tools

Keyword research is an essential activity in the SEO field. Broadly speaking, it consists of discovering the keywords for which a particular website is deemed to rank and determining the associated search volumes. In a more advanced stage, try to estimate which position for which query a site can reasonably target.

In the initial stages of SEO, keyword research was a manual-driven activity, mostly involving free and proprietary rank checkers, Browser Add-ons to discover on-site keywords, and search interest estimators. A very useful tool in these early efforts was a service that allowed users to see the keywords used by competitors to drive traffic to their sites. In 2002, keyword research moved up a notch when a keyword tool was released; other similar tools followed. Nevertheless, both of these tools provided only approximate keyword ideas.

In 2003, a major advancement took place in the offshore outsourcing of the keyword research activities. Companies started offering access to research panels that could tell SEO professionals what sites the users were engaging with when searching for a specific term. Although their services are very expensive, they remain popular for their suggestion of currently popular keywords. In 2005 this service was enhanced by other tools offering to provide the top terms that generated traffic to a particular site. These insights were then used to reveal the competitors’ keyword strategy. A few years later an intuitive service based on traffic rank was added.

On-Page Optimization Tools

SEO, or Search Engine Optimization, is a critical component of digital marketing, and it involves enhancing a website’s visibility on search engines. Digital marketers have long struggled to create and modify pages for scores of keywords and phrases that best describe their products and services. Search engines are a frequent starting point for consumers exploring potential purchases, so it is essential that website pages show up in response to keyword searches. The process of page optimization involves an analysis of unmet searches for potential keywords. Pages are then modified accordingly, better associating them with searched keywords. Each page must be detailed with optimal content lengths, proper keyword densities, and HTML coding, including Title, Heading, and alt tags. In addition, page optimization tracks internet traffic and leads from search engines and phrases.

For years, marketers manually conducted the on-page SEO process described above. Tools are becoming available allowing for large-scale automation of this on-page SEO process. While page optimization tools are available, the functionality offered by these tools varies considerably and is often accumulative. Some tools report only selected on-page metrics, while several are full-service applications providing capabilities within search engine submission and reporting, page content and keyword density analysis, link reliability analysis, link text labeling, title tag optimization, optimization reporting, and URL submission. While pricing for these automated tools is modest, the functions performed are not exhaustive. Unlike full-SEM tools, these tools are well-defined in terms of what data they do and do not contain and what processes they automate.

Link Building Automation

Any discussion of link building automation has to recognize that it’s also the area of SEO automation most fraught with potential pitfalls. Links from one site to another are considered a vote of confidence, an endorsement of the other’s quality and relevance. If a site is clearly selling, trading, or arranging key phrases and links for financial gain, however, it’s a clear violation of guidelines and maybe even an attempt to manipulate results.

SEOs on a budget will often use these techniques to bolster their backlink portfolios and increase their chances of driving traffic from certain high-traffic keywords. While there’s certainly nothing wrong with writing better content, nobody’s really doing themselves any favors by thinking that sheer quality will overcome a lack of authority, especially because there are no signs of ever going back to a page rank-only algorithm. Fortunately, there are a few methods of automating certain portions of the process while still avoiding search penalties.

Typically, link building automation tools fall into three categories. Tools assist in the prospecting and outreach steps, while scraping and data aggregating tools help in the research and discovery. Finally, specialized software helps post-creation management, giving SEOs warnings about lost indices, sudden drops in traffic metrics, or other negative changes that can indicate a penalty risk.

But account-based outreach is also expensive in terms of time and effort, and many people prefer to have software programmed to send out automated emails to select contacts, potentially freeing them up from menial outreach tasks. That said, many people have had success getting placements from very soft pitches, so it really depends on the nature of the industry. If a site is extremely approachable, then contacting seven times instead of just once isn’t a big deal, but that’s less common in B2B.

Analytics and Reporting Tools

Once you have your SEO goals defined, the next step in your action plan is setting up analytics and the reporting for the channels to be optimized. This chapter focuses mostly on analytics tools that will help to implement and report on these goals. Let’s face it, without conversion tracking in place—whether it’s ecommerce purchases, registrations, or leads—then everything we do for SEO isn’t as useful as we’d like it to be. For enterprise-level sites and those that want to refine and optimize target audiences, tagging with a tag management system—especially event tracking for specific conversions like downloads, video views, or button clicks—enhances the data we get from each channel. For advertising conversions, event tracking gives us more flexibility.

Benefits of Using SEO Automation Apps

Even during the early adoption era, organizations began developing and employing software to assist them in their use of search engines. Using an analogy that is even more exaggerated than those of the early automation promoters, it is said that “initially every task was manual—using separate consultants for different tasks. That approach would be analogous to maintaining separate crews to carve block and sweep streets!”

Investing in automation tools for SEO offers significant advantages: improved performance, standardized implementation, and reduced costs of SEO delivery. The major benefits CEOs can achieve using SEO automation apps include the following:

Time Efficiency

SEO tasks can be time-consuming. Some examples of time-consuming SEO tasks include gathering and organizing data needed to identify issues, researching for keywords, monitoring keyword rankings, technical audits, comparing competitors, optimizing for text and implementing updates, and designing and implementing link-building strategies. Automating these tasks speeds up the workflow. SEO automation apps reduce the time required to conduct analytics, research keywords, implement changes to the website as recommended by the audit tool, create content, and track keyword rankings.

The automation apps can also perform the tasks associated with SEO on a recurring basis, freeing the SEO expert to focus on higher-level strategy. Most SEO experts report that the tasks which they have to do repeatedly are the most tedious and least productive aspects of SEO work processes. Automating simple, mundane search engine optimization tasks will free the SEO consultant to dedicate more fine-tuning to the companies that need more help with their SEO or take on more companies.

Employing automation apps allows organizations to monitor a larger number of client accounts on a regular basis and be more proactive with SEO recommendations. These apps can notify account managers when an account’s historical data show that changes in SEO results may mean that assistance should be provided. SEO account managers could then respond by either doing the work to optimize the account or recommending that the client promote additional articles or downloadables that lead potential customers to their websites to close sales. In some cases, even though they are small, users may need specialized assistance from an SEO consultant.

Improved Accuracy

To construct—or more realistically, to manually fingerprint—an entity graph for the web, SEO teams need to run the knowledge extraction processes and label the results with concern locality. Yet, despite their ability to drive traffic and attract discovery, branded queries only reflect part of the Web’s latent structure. Entity typing documents achieve better accuracy, but at the expense of coverage and obsolescence. Global n-gram models cover several languages and news articles, although recovering locality using parameters such as domain-age requires further effort. However, capture is costly in terms of labor hours, and small teams are unlikely to receive recognition unless they are able to implement continuous discovery policies on a sizable portion of the ecosystem.

Focusing taxonomically on local entities alone, to satisfy localization requirements or shortcode restrictions, is their only avenue to escape this dilemma. But the results of shaping SOA initiatives deliver sticky product and service pages with smaller matching radius and investment-performance overshoot—far unheard of in the world of unstructured content. Labor intensiveness is the identification-only stage of search engine optimization, which also offers no certainty on its deliverables. Although brand programming and selection-SOA can be made to diverge, in an efficient-than-household products market, the both must converge, with enough progression liquidality to allow for interchangeability. But the high contestants competition means that they will occupy only a fraction of the global SOA stage.

Scalability of SEO Efforts

SEO automation applications offer ample functionality that enables businesses, regardless of their size, to scale their SEO resources. From identification of issues to resolution, tasks such as removing broken links and optimizing title tags can make a small website much more scalable. SEO automation applications facilitate the resolution of tedious tasks in a website of large dimensions, out of finger without hassle. They also make on-page audit and keyword research to aid the creation of content much more efficient and much along the way. Depending on the level of intricacy of the application, some can even access search volume for long tail keywords and question-based queries sourced from search engine auto-suggestions, comment and social media sections for social proof or even monitor site performance, speed and indexation, and social media mentions.

Scalability is very critical for a large organization that owns an online platform with multiple domains. Sources of SEO traffic are best multiplied in order to increase chances of being positioned well organically. Mass page automation plugins, wrappers or specific tools can automate website page population. Specific websites for dropshipping are massive and do not require content creation in order to be user-friendly so plugins facilitate page creation to simplify resource management. Specific online platforms engage in frauds with tourism and travel for example, Any business can create a mass page SEO project by choosing some products to give some visibility, and a corner of the platform should be specific if they want to position a synthetic offer as product in order to drive potential customers in online marketplace for specific page not managed by the marketplace but indexable to generate traffic and potential sales.

Challenges and Limitations

Despite the growing popularity of SEO automation, it is critical to discuss its drawbacks. Automation cannot truly replicate a human’s analytical capabilities and problem-solving skills. There are some SEO tasks that require human oversight, even if they can be assisted by apps. For instance, SEO professionals are often required to scrutinize hundreds of blog articles for grammatical mistakes. While SEO apps have the capacity to automate the process of scanning for spelling, punctuation, or grammatical mistakes, human involvement is still needed to assess the quality of the articles or to decide whether they need to be updated or replaced.

Human experts are indispensable in assessing the overall quality of a piece of content, even if applications can automate the process of spotting technical faults. For example, an SEO app can point out broken links or incorrect redirects for just about any site. To check whether these are slates or issues that need to be addressed, a human eye is vital. The sheer volume of material examined frequently influences human judgment. Certainly, there are chances that an SEO company does not address an algorithmic penalty due to being unconcerned regarding their clients’ websites or because the alleged cryptid is still hiding. Since a lesser known clients’ website was trying to offer an illicit service, the error was stark. The company having flagged the client’s account failed to involve themselves in decision-making.

Additional SEO value could be lost if there is another SEO company involved. Certain issues that can use guidance from SEO apps should not be ignored. For example, e-commerce websites dealing with a handsome number of products often need functionality and usability improvements like enhanced page speed or mobile-friendliness, which can have an impact on SEO performance. Since such issues can use guidance from automation tools, it should ideally be in a good SEO company’s interest to ensure website quality.

Over-Reliance on Automation

While automation offers considerable efficiency boosts, the inherent nature of the technology means that constant monitoring is essential to avoid issues, failed opportunities, and even penalties from search engines. SEO is, after all, a living, breathing thing, and we need to stay in touch with the subtle changes to understand how best to respond. Automation apps primarily rely on the databases they query, meaning that if the database is stale or unrepresentative, it is possible for an otherwise valid action to be deemed unworthy because the data is outdated or simply inaccurate. While a good automation app should offer helpful indicators, as opposed to indisputable recommendations, it is scary to see the occasional automated-decision-making in play. A related point is that while what we can gather on a current basis is largely to do with WHAT is taking place regarding SEO – such as traffic coming from various pages, keyword rankings, backlinks gained or lost, etc. – we often can’t understand clearly the WHY behind any given event. Such as, why did a keyword drop significantly? There could be many reasons – better content from another site, changes in SERP features for that keyword, mistakes or unforeseen changes by the brand, problems with a competitor, etc. However, even the flags thrown by these apps can’t possibly cover all these angles, as these could be highly specific to individual brands and their industries.

Cost Considerations

When considering the cost of SEO automation apps, companies need to think beyond the obvious line-item expenses. A single-cost subscription or small incremental add-on to a current tool might be easy to budget for. But it is essential to consider whether the price point renders the use of that solution for its intended processes cost-effective — and just as importantly whether SEO anti-automation in the form of technology and people restrictions is effectively erasing potential efficiencies the app/model solution is intended to create. SEO automation apps excel when someone or something assesses and runs an initial web audit, develops the normal optimizations required for that site, and enables later revisions to those optimizations — either in serial or parallel — to be surfaced and handled much faster and with much less manual human interaction.

The cost associated with some automation companies can mix with questionable performance results to create dollar-sucking hoover-vacuums with surface-level shine but little behind-the-scene depth. These automation tools are very visible leaders within the industry, heavily marketing their targeted keyword-scanning-based content recommendations and worldwide backlink portfolio listings. Laypeople and even SEO professionals can become smitten with the alluring cheating-through-automation promises these solutions would like companies to believe exist — that devaluing content amplification and backlinking is only the absence of effort required for the ongoing directives and advisory services rendered by engaged-strategy-focused agencies or in-house teams. Marketers tempted to hand all responsibility over to automation should think carefully about past experiences and be careful of marketing-spun messages.

Potential for Errors

It cannot be dismissed that all forms of automation software are at risk of errors, irrespective of the underlying techniques like manual input data validation or ML algorithms. In the case of SEO workflows, errors or mistakes are possible during output production or even during results evaluation if humans misinterpret or oversee the automated result. Possible issues include unnecessary automation, over-simplified automated processes, repetitive completion of tasks based on solely quantitative aspects possibly resulting in low-value content with respect to branding, values and limitations. A common misinterpretation during automation or automated processes is that the automation technology is performing smarter than humans along certain aspects. For instance, keyword seams might look reasonable at first sight to be compressed but could lower the branding value drastically if keywords are too much on the surface, and for a human reviewer, these effects are obvious.

As such, for SEO automation technologies, both industries as well as their clients need to have a clear understanding that SEO cannot be fully automated but only partially via automation technologies. These experts would act as human safety nets overseeing the results of SEO and reviewing the areas where automation periods are falling short. Both would embrace the partnership between humans and AI, which is a key principle in the utilization of all AI-related technologies during the next decade. On the providers’ side, possible partners in in-house operations need to be made aware which measures are covered by the technology as well as the limitations and why they are important to be kept in mind during the utilization as a part of a broader SEO strategy in an outsourcing situation. Educating potential customers about the benefits and pitfalls of using SEO automation technology ensures a fruitful provision of technology and service that is beneficial for all involved parties.

Comparative Analysis

This section will compare traditional SEO processes with one semiautomated SEO service, one fully automated end-to-end solution, and finally with the current top players of the SEO Automation market. The best way to evaluate the additional investment these tools require is to compare them to a manual SEO work process. Done correctly and competently, manual SEO has a huge potential and can yield sustained client revenues. This potential obviously qualifies SEO for being both a traditional industry in the innovation sense as well as an emerging one.

Manual SEO vs. Automated SEO

For the businesses that depend on search engine traffic, search engines optimization has typically been neither simple nor easy. And it has often been painful and costly. The traditional view of SEO has seen it as the province of highly skilled, formally trained technical experts, and the techniques of these experts have been painstakingly hand-crafted. This approach, however, is becoming increasingly difficult to apply in what has become a highly competitive market, in which hundreds of thousands of companies vying with each other for the top slots on search engine result pages.

These traditional expert-designed manual SEO techniques, stumbling through arcane technicalities, monitoring a competitive environment on an automated basis, analyzing competitors and reciprocal customers with high search frequency functions, and making detailed queries to detect disappearing elements of value or artificial adjustments, often led to short-term, tactical actions. Today’s sense-and-respond automated SEO techniques, on the other hand, can be designed to implement deployment actions that are usually long-term strategic, high potential, large style, high capability investments. Today’s automated strategic SEO adds to these manual tactical search, navigation, and marketing activities. It also adds two other very important and potentially expensive new functions: management of stakeholder external information webs supporting the corporate internal web, and management of the company’s proprietary or public affinity webs that affect its ability to monetize its own external equity.

Cost-Benefit Analysis of SEO Automation Tools

While many SEO tools support processes that traditional SEO relies upon, few engage in practicing SEO. Most tools, by virtue of their automation, augment or enhance a select area of work and move SEO opportunities off the critical path, enabling SEO analysts to work on multiple sites simultaneously. Automated link checking can ease the linking process. For a larger scale initiation into automated link checking, there are applications that will reveal check broken links of internal link structure on site for replication and external site for inbound link potency of a site. Automated rank checking lets analysts monitor movement or inertia and broader computation of rank share concentration.

Automated tools will not determine SEO action, only propagate the action effect or perform prediction or causation effect testing. Accelerated changes for what would have normally taken months to accomplish manually can take mere hours of removal effort with the assistance of bots. Automated tagging coupled with a thorough manual crawl after an entire season’s sites have been autogenerated will put a portfolio back on line with ample room for advancement and reduced chances for search engine penalties. There are truly only two tasks that require an analyst to be directly involved in the optimization process for a site: Bi-weekly manual site audits of look and feel and meta structure with dependency paths; and strategic site location of Linkology, Usability, and Integration.

Future Trends in SEO Automation

SEO automation is growing and evolving its way through technology development. There are several new fronts in terms of innovation in areas such as SEOAP development. In the future, these tools will be more advanced and will help SEO professionals become better at what they do, in addition to helping those who are starting their careers and do not have so much experience yet.

AI and Machine Learning in SEO It is not new that Artificial Intelligence is revolutionizing several segments of business, making it possible to optimize various processes and be increasingly efficient. The SEO area is no different, as it deals with a large amount of data and the analysis behind that can also be done with the help of AI. It is observed that many SEO automation tools are already beginning to use machine learning algorithms that allow you to create text based on input from the user and previously analyzed data.

In addition, tools that correct or adapt content automatically with the aim of improving the SEO of that piece are already being offered. We can see that on WordPress with a plugin that serves as an editor helping the content to be SEO friendly. So SEOAPs will have more and more AI features in order to give the user more options and recommendations on how to improve that content, going beyond simply suggesting keywords.

Integration with Other Marketing Tools Digital Marketing has become a priority strategy for different segments of the economy. In this way, companies are realizing the importance of being and staying well positioned in the world of websites, social networks, blogs, and so many other platforms that exist. With this increasing growth, the tools that are used to optimize these more distinct segments are becoming more interconnected. Therefore, we can see new trends in which Marketing Automation tools and SEO tools are joining in order to have greater synergy. With this, it is possible to manage various strategies, both SEO and beyond, with greater synergy.

AI and Machine Learning in SEO

SEO has always been highly dependent on the use of data. Search engines require site owners to upload a sitemap that includes the URLs of the pages on their websites. The engines then crawl this data to rank sites on their search engine results pages for the keywords they want to show up for. Aside from crawl data, bots also collect information about each page, like how fast it loads and how secure it is. So, at a high level, the question of SEO is about how to decide which page to show for a specific keyword. Despite their considerable power, search engines still find it difficult if not impossible to conduct what data scientists call causality inference: the process of determining whether a given change in a web page is responsible for having changed the rank of that page for a particular keyword.

The company that offers the best AI and ML tech support for queries related to causality inference is a major search engine. The search engine’s groundbreaking technology leveraged deep learning representations of queries, pages, and other factors in its attempt to provide better results to users, and its later projects took that effort into the third dimension with its contextual query understanding system. These neural networks function by observing user behavior over time and determining the attributes of different pages that work for those users. The company has already patented many inventions related to these systems. Furthermore, it is moving quickly to adopt artificial and neural processing technology infrastructure to the rest of its products, and it is continuing to invest in neural nets from a research perspective.

That said, although you cannot fake your way to good machine learning, you can take small and simple actions with some of your website’s elements so that its bots identify it with more authority for a wider range of keywords. Services use a form of automated SEO that focuses on conducting these minor optimization techniques in a round-robin fashion.

Integration with Other Marketing Tools

SEO automation tools are essential to marketing because they make sense of potentially conflicting data. Their insights are unbiased and based on data sets that can be unmanageably large. The point is to use many marketing tools. For SEO to be optimally implemented and considered, the other marketing channels must take into account SEO. Only through collaboration can full advantages be experienced. If you implement social media, you should think of the combination of social media tools and integration with the SEO scaling tool of choice. If you implement PPC, you should think of PPC tool and integration with the SEO scaling tool of choice. The same with email, campaign management tools, offline marketing. The advantages can be varied: adding value to deliverables produced by clients in the websites; optimizing work processes within the business; benefiting from improved cross-marketing services for businesses and clients through the implementation of additional marketing tools; assisting clients using other aspects of marketing with both SEO and the other tools, serving in a team working on an integrated basis.

When the critical time arrives, nevertheless, it may be our SEO tools providing insights to the other channels; or some other tool that impacts negatively on our work. This means that we cannot afford to ignore other channels and their APIs. The SEO automation platform must communicate seamlessly with these other channels, else why use it? It is a two-way operation with special niches for SEO tools. You want from them. What about Google? It expects from SEO what is not going to come! But we demand more from ourselves, dear old Google! We demand from our tools what we cannot individually afford. What do we demand?

Conclusion

Once more usual-heavy adoption patterns from traditional management activities, such as social and email marketing, overshadowed the value of SEO. SEO Automation Apps can fill this gap, making today’s SEO activities less effort-intensive than in the past, accelerating execution cycles, and lowering the entry-barrier of access to professional SEO capabilities, whereas diminutive SEO services can increase the sophistication of their offer, and devote time to specialized activity within the SEO process. These factors might increase the performance of SEO activities, opening new possibilities to both marketers and SEO specialists.

The downside of this increase of sector accessibility is that results will vary much more by provider than it would do if methodology used were the only one available. This means that while particular verticals, especially technology-oriented ones, will benefit from the amplified sophistication of the automation apps ticketed capabilities, SEO performance on other verticals may be strikingly poor, so at least until stand-alone virtual agencies start closing the service gap, we are likely to keep looking at the early days of SEO.

Furthermore, these are also early days in terms of investment, with ASPs likely to start disregarding less saturated, technology-oriented sectors, or at least to lower attention paid to other verticals – which would also explain why performance tends to vary so much by territory. It is precisely the reduced capacity of SEO services to be ambidextrous in terms of specialization catering both to large brands willing to tolerate a pricing premium and the amateur, yet fashion-sensitive brand-maintainers based on consumer attraction. As search channels become gradually more virtuous, favoring selection among closely related verticals, in competition with the other potential traffic generation media.