How to Make SEO Tools Website?
These are the days of businesses and brands, where every business and brand has the need for a website. But what good is a website if people cannot find it? This is where SEO comes in. SEO (Search Engine Optimization) is a strategy that helps your website or page rank in search engines like Google. It can be done through many ways, but one of the most effective is by creating an SEO Tools Website.
An SEO Tools Website will provide you with all the information you need to know about how to optimize your own website. It provides tutorials, tools and tips on how to implement various strategies that will help increase your page rank. There are many ways on how to make an SEO Tools Website, but here are some tips you should keep in mind:
How To Make Seo Tools Website
SEO tool is a broad definition, and there are many niches you can get into, each with its pros and cons, this article will outline the most typical niches, and summarize what how to build your own SEO tool:
- Backlinks explorer tool.
- Keyword explorer tool.
- Rank checker tool.
- On-page SEO Audit tool.
- Brand mentions tool.
How does an SEO tools work?
Before going into the details of how to create your SEO tool, it’s crucial to understand how SEO tools work, the tools (any SEO tool), has multiple stages:
- Acquire the data from various sources: Public internet data, clickstream, 3rd party data, SERP.
- Store it on a database: MySQL, PostgreSQL, Redshift, custom database.
- Process the data using specific algorithms to get insights from the data: Domain rank, which keywords a site is ranking for.
- Show the results to the end-user via GUI or provide the results via SEO tools API.
How to create backlinks explorer tool
In this section, we will go over what does a backlinks explorer tool does, what are the parts needed to develop such a tool, and how to develop each part.
What is a backlink explorer tool?
Backlinks explorer is a tool that allows the end-user to:
- Learn who links to his site, and how
- Discover where the competitors are getting links from
- Learn where sites link out to
- Help in the process of domain vetting for:
- Purchasing live domains
- Purchasing expired domains
- Deciding where to do guest posting
To summarize all the options, the goal of a backlink explorer tool is to help with link building and/or help with link disavowing.
How the backlink explorer tool works?
Three parts make the backlinks explorer tool:
Crawler
A crawler is a software that retrieves the content of public web sites, the crawler can be small, for small projects and low amount of webpages, or enterprise-grade to crawl the entire Internet, just like Google’s crawler, which is the largest that exists.
The goal of the crawler is to scrape the data on the web page. Once it has the data, the crawler or another component can parse the backlinks.
Database
Once the crawler got the links, it will store the links in a database. The database allows for fast retrieval of the data. The size and type of the database are dependent on the amount of data crawled, for a small project a single server can do. Still, for Internet-wide crawls, there’s a need for a distributed database, most likely with in house customizations.
GUI
For backlinks explorer tool, the product is mostly SAAS (Software As A Service), which means the GUI is web-based. The GUI should be intuitive as there’s many data point and the end-user should understand rather fast how to access the data he’s looking for.
How to create backlinks explorer tool
How to create backlinks crawler
There are numbers of open-source crawlers available, written in different languages. When we started with our crawler, we had two programmers build a Python-based crawler, and it was able to crawl ten pages per second on a VPS with one core, taking 100% CPU.
We had someone build a C based crawler, and it was able to crawl 100 pages per second on one core, taking 1-3% CPU.
So, choosing the right language of the crawler would impact the hardware selection, it’s a tradeoff between an expensive programmer and expensive hardware.
The essential traits of a crawler are:
- Fast and light, use as little CPU as possible per downloadable page.
- Honours robots.txt, to avoid abuse reports.
- Able to parse sitemaps to get new data.
- If it’s enterprise-grade, then it should be distributable.
Building a crawler with Python
Python is an easy to learn language, with a rich ecosystem and libraries; it cost us 100$ to have a freelancer build a basic crawler with Python and Scrapy. Also, Python has many libraries to parse the DOM and get only the essential elements like Page title, Page description, links.
The development would be fast and not too expensive; the downside is the need for more hardware.
You can download the scrapers/crawlers that was built for us: Python scraper 1, Python scraper 2
Building a crawler with Libcurl
Libcurl is the leading development library for HTTP/S communications, it also supports asynchronous connections, for single HTTP/S requests it’s straightforward and easy. Still, to write a crawler, that’s more complex but doable.
A preferred language would be C or C++, and you will also need some libraries to parse the HTML to extract the links and other information from the page.
You can download the scraper/crawler that was built for us using C and Libcurl: c scraper
Build it all yourself
Our experience shows that for core technologies that need to be highly customized and built for speed, it’s better to write it yourself, we assume you have a very experienced programmer up to the task, just like we have in house.
We developed our own crawler, written in C with BSD sockets and OpenSSL, our own HTTP and HTML parsers. Writing your own crawler allows for the best performance, but the cost was extra development time.
Bandwidth consideration
Bandwidth cost is also an essential factor; some hosts like OVH provides unmetered bandwidth based on the port speed (100MB, 1GB).
Some hosts like Amazon charge for the actual bandwidth, and you may end up paying more for the bandwidth than the hardware.
The bandwidth criteria mean you might need to use a host that requires more knowledge and expertise but gives cheap bandwidth over using an easy to use as Amazon.
How to build a database for backlinks
Once you have the data, it’s time to store it. How much data do you plan to have? Ten billion backlinks would take 4-5 Terabyte of database storage, for comparison the competitors (Ahrefs, Semrush) offer a database of over 1 Trillion backlinks.
The issues with open source databases (MySQL, for example) is that after 50GB in storage, the insert speed degrades exponentially. For backlinks database, there’s a need for sustained insert speed, for our needs it was about 50,000 inserts per second, and after 50GB of storage the speed started to go down, at 200GB of storage it was so slow, it was unusable.
Amazon Redshift
Amazon Redshift database can be scaled easily to have a large storage, and shouldn’t have the same problem the open-source solution has, but 10 Terabyte of space would cost 30,000$ monthly on SSD storage.
Clustered database
Some hosting providers offer clustered MySQL or PostgreSQL out of the box. A clustered solution can get around the insertion speed issue if each node is limited to 200GB storage.
The problem is that the clustered solution costs 10,000-20,000$ per month for ten Terabyte of storage, depending on the hosting provider.
Commercial database
There are commercial databases that can handle this load, like Oracle database, we don’t know what the price is, Oracle database is an enterprise product, it may not be suitable for startups.
Percona MySQL database
Percona is a company that specializes in database optimizations, and they have a custom version for MySQL, MongoDB and PostgreSQL. We wrote a long article in Quora about the database ordeal, and someone asked if we tried their Tuko engine, I didn’t. So it might help, we never tested it.
Custom database solution
We decided that paying 10,000-20,000$ per month for a database is too much. Besides we haven’t made a single dime yet, is not the way to go, we don’t have VC money, and that amount puts great pressure on finances.
We decided to develop a custom database that can handle the insert and select load. We can host it for 350$ monthly, but it took us two years to build it, so we traded time for money.
You can read our article about which database we use (hint: we built it), it covers in more detail about the limitations of current databases and how we solved it.
Integration and GUI for backlinks tools
Now that you got the database and crawler, it’s time to integrate and make sure you build a friendly GUI so people can see their link building efforts.
For web SAAS, there are several languages people use: PHP, NodeJS. We use PHP and a custom HTML theme; we cover more about GUI development later in this article.
Our backlinks API
Our API allows to get all the backlinks information regarding a site: Backlinks, Outlinks, Top pages, Referring domains, Referring classification, Top anchors and more.
Our API can be used for building:
- Free SEO tools as lead magnets.
- Commercial SEO tools.
- Internal research tools for link building.
- Other Internet marketing tools.
Check out our Backlinks API details.
How to create keywords explorer tool?
What is a keywords explorer tool?
A keywords explorer tool allows the end-user to gather keyword ranking information about his website, and the competitors, this allows you to know:
- Which keywords does his site ranks on, and which position?
- Which keywords do the competitors rank on?
- Keywords opportunities and ranking difficulty.
- Keywords search volume.
- Keywords PPC costs.
- Long-tail keywords.
- Similar keywords.
A keyword explorer tool also helps with keyword research. Keyword research is crucial to any content marketing campaign. For example, we wrote a few blog posts without doing any keyword research (Like this one), we just wrote what came to mind, but since the post didn’t focus on anything the user searches, it gets about one hit per month.
BTW we wrote this paragraph in Nov 2020, and we will revise all of our content with proper keyword research, trying to salvage the content.
Why should someone use a keywords explorer tool?
A keyword explorer tool is used mostly for SEO and PPC:
- Research which keywords to focus on, when writing articles.
- Discover easy to rank keywords.
- Discover cheap PPC keywords.
- Keyword search volume tool.
How does a keywords tool work?
Keywords explorer tool has several components:
Keywords explorer scraper
The scraper is the component that gets the data from the search engines (mostly Google, but some products supports more engines), parses it and make it ready for storage.
Keywords’ search volume data
Keyword search volume data is static data that is displayed next to the keywords, and it might also contain keyword ranking trends.
Keywords’ PPC data
Keyword PPC data is static data that is displayed next to the keywords, and it shows the average cost for Google AdWords PPC.
Keywords explorer database
The database stores the data in the previous sections:
- SERP results.
- Keywords’ search volume data and trends.
- Keywords’ PPC data.
GUI for keywords explorer
The answer is almost the same as for backlinks explorer tool the exception is that keywords explorer is only SAAS and not a local software. So with SAAS, the GUI is web-based.
How to create keywords explorer tool
How to write a scraper
Type of IPs
A scraper gets the search engine results. Google and the other search engines don’t like it, so they employ Recaptcha to stop the scraping. Even if someone is using anti Recaptcha methods, eventually Google will block that IP anyways.
There are various methods to scrape Google successfully:
Datacenter IP
Datacenter IPs are easy to come by, you can spawn a VPS starting from 2$ on low-cost providers, to 5$ on a leading provider.
The problem is – Google knows that too; it will display the captcha after about 100 requests.
There can be several solutions to this problem:
- Replace the IP every time the IP is blocked, and most VPS providers have an API to do so, check the provider TOS before doing that, see that this is allowed.
- Make a request every x seconds, depending on the results you ask for, the more results, the bigger the x. The problem here that you must maintain a large number of proxies.
Using residential IP
Since Google knows the IP came from a residential IP, it will not block the requests as long as you wait a few seconds, the problem is, how to get such IP?
If you live in the place, you plan to scrape the results from, and then you can install several connections and use them, the problem is, for an extensive keyword database, this will not scale well.
Another solution is to use a residential IP provider like Luminati, and the problem is the price, the charge per bandwidth, which makes the operation very expensive.
Which language to develop the scraper?
Unlike the backlinks crawler, the scraper doesn’t have to be very efficient, so Python or even PHP can be the right choice.
If there’s a need to render JS, then using headless Chrome or headless Firefox will be preferred.
Where to get search volume data?
Clickstream data
Clickstream data is collected from real users, and it contains every URL the users visited and every search phrase they searched.
The search volume of every keyword can be deducted based on the number of panellists that are part of the clickstream data in a specific country.
This data allows us to get an estimate of the search volume because it’s only a part of the actual users searching. Also, the way this data was collected affects the results.
When an Antivirus provides the clickstream data (like it was with Avast), it means the data represents the way that end-users that installed Avast behaves, it may be different from other types of end users that wouldn’t install Avast.
If the budget allows, purchasing clickstream data from multiple sources will allow for better estimation of search volume.
Search volume from API
Some companies such as ours are selling search volume metrics with an API, and there are two types of commercial API usage:
Internal API usage
When the data is used internally, which means it’s not displayed publicly, it can be used for the company’s internal needs, or to show private reports to SEO clients.
This usage should be cheaper than white label usage.
Whitelabel API usage
Is used when developing a public app or SAAS and you want to show 3rd party data, the best example would be Neil Patel’s Ubersuggest, he publicly revealed his monthly spending on the tool. Part of the expenditure is for development and role for the data.
Obviously, this data is more expensive, and most companies will perform due diligence before providing such API functionality.
Google API
Google offers an API that provides PPC prices information, search volume data. It’s all the data that is available via their Keyword planner tool. They provide the API after a vetting process, and the API can only be used for specific goals.
Where to get extra keywords
Google says that 15% of all searches are new, which means that even if you get clickstream data, it will not include all possible keywords (you can read more about it here).
On this blog we have some articles that ranked on keywords that our tool and other tools show no searches. When doing keyword research, keywords with “zero” searches may have enough search volume never the less.
Luckily we can get most of this data from Google itself (also from Bing and Yahoo), which you are already doing with a scraper.
Related search
In the bottom of each search results page, there are a list of keyword suggestions related to our searched keywords.
People also search.
Some pages show another pane with people also searches, which gives even more keyword options.
Google Trends
In Google Trends, there are two options:
- Related topics – Shows related topics to our keyword, for example, related topics for “keyword research” are Niche market, content, Affiliate marketing.
- Related queries – Shows what other people were searching for in relation to the keyword. It’s another data endpoint to the related searches in Google web search.
Google autocomplete
Google autocomplete suggestions helps the searcher do a search based on the previous searches, for example, let’s say a user enters “keyword research”, Google will add options based on past searches, for example, tool, Google, for SEO. It will not add keywords; however, without any meaning for the search like a cat, not that you can’t search: “keyword research cat”, it just that it has less meaning.
Google Search Console
Some products like ahrefs and Ubbersuggest request access to the Google Search Console, they then use the keyword data provided by Google to show improved keywords data.
One thing to consider is that for low search volume keywords the bots can skew the data, as you can see in the graph for one of the keywords we are ranking for, one the same day of the week a bot searches Google for this keyword.
Database for keyword explorer
Unlike the backlinks explorer, the data is not too big, and the insert speed requirement is low. One or two instances of MySQL would be enough; the challenge here is the sorting based on search volume, searching for similar keywords, and searching for similar phrases. For example:
How to sort big data
A site like eBay is ranked for millions of keywords in the SERP. When showing eBay’s result (or any other results), they are sorted by the search volume.
It doesn’t matter if the applications display five results, or a hundred results, the database will have to fetch all the results (millions) and sort the result before providing an answer.
The speed will depend on the database’s hosting computer performance, and number of jobs the database is currently doing, but even on an idle server, this will take at least a few seconds which can make the site look slow.
The way we solved it is to precompute the sorting. We developed a multithreaded C++ program to precalculate sorted results, which means we have a table that holds all the keywords for the sites, and the search volume is already sorted.
Using this method – fetching the results is almost instantaneous.
How to sort similar keywords
Similar keywords are keywords that contain a seed keyword, for example, for the keyword “seo services”, has the following similar list of keywords: professional seo services, affordable seo services, white label seo services reviews.
We have 270 million keywords just in our primary database, doing a similar search even with full-text indexes can be time and resource consuming.
The way we solved it, we used a C++ program (again) with Aho-corasik algorithm to precalculate those keywords lists, and then we store it in a table.
Aho-corasik is an algorithm that allows doing a fast search on a string; in one pass, it finds all the keywords in our dictionary.
Even with that algorithm in place, it takes the program up to 48 hours to go over all the keywords, think how long it would take to do it in the database level.
The Aho-Corasick version we developed and use can be downloaded for free: Open source Aho-Corasick.
How to sort similar phrases
Similar phrases are phrases that contain the seed word, just not in the same order, for example, the seed keyword: “free mac pdf editor”, has the following similar phrase list:free pdf editor for mac without watermark, adobe pdf editor mac free, free pdf editor mac download, pdf editor mac free online software.
I’m not sure it’s even possible to design a database query to fetch such a list, the way we have done it, is use the same program from before, but this time we take each keyword and build all the permutations, and then we search those permutations.
When we first ran the program, it was “stuck”, when looking deeper we found the problem, a phrase with 12 keywords, generates 479,001,600 options, which will take two days just to search.
We had to limit the phrase building to 9 keywords, which generates “only” 362,880 results, we put this on a 40 logical thread server, it takes a month to go over all the keywords.
Keyword difficulty tool
Part of a keyword explorer is to gage the keyword difficulty, and each company has its own way to calculate this score, at the end all the numbers are estimates.
The data that can be used to calculate the keyword difficulty is:
- Website Page rank (also referred to as domain authority)
- Number of links (unique or total) to each link in the result
- On-page factors
The way we calculate it is by creating the average of the page rank of each site in the results; in the future, we plan to look at this again.
Integration and GUI for backlinks tools
The GUI is always the same for all tools; later in the article, we provide a detailed explanation on how to write GUI.
Our Keyword API
Our API allows to get all the keyword information for specific geographies: Keyword search volume, similar keywords, related keywords, also ranking for keywords, and more.
You can use our API to build:
- Keyword research tool
- Augment on page content creation tool with keyword data
- And more
Check out our Keywords API details.
How to create a keyword position rank tracker
What is a keyword position rank tracker?
A rank tracker is a tool that tracks a site rankings and keyword position in the search engines. It will:
- Track keywords across different geographies.
- Track keywords in specific cities which is needed for local SEO.
How does a keyword position rank tracker work?
Rank trackers are search engine scrapers that use proxies or other means to use different IPs to scrape the SERP in a specific geography or cities.
How to build a keyword position rank tracker?
The rank tracker should be the easiest tool to create, that’s why there’s so many out there, the entry barrier is low.
Because there’s little data, any database will do, you can go with MySQL.
Since you need to track keywords position across various geographies, using a residential IP proxy provider makes sense since the number of tracked keywords is tied to the number of subscriptions, the cost of the IP provider should scale well with revenue.
The “crawler” section on similar keywords tool in this article covers how to write a SERP scraper which has the same applicability to the rank tracker scraper.
How to create a on-page site audit tool?
What is a site audit tool?
Site audit tools are used to detect on-page SEO issues like:
- Find Broken links.
- Check for missing or incorrect robots.txt.
- Discover missing or incorrect sitemap.
- Check for internal linking issues.
- Detect missing meta description tag.
- Find incorrect usage of header tags (for example, H1).
- Discover duplicate content.
- Generate a sitemap.
- Check for missing hreflang.
- Technical SEO issues.
- And more.
How does a site audit tool work?
A site audit tool works by crawling the site it audits and analyzing the link structure and meta information on each page. Once it has all the data, it processes it to show the auditor the relevant information to fix.
How to build a site audit tool?
The core component of such tool is the crawler, the first decision would be whether that crawler is based on SAAS (the crawler is hosted at your servers) or the crawler is a downloadable software.
Crawler as a SAAS
Unlike the crawler for backlinks tool, this crawler usually needs to crawl less data, which means you can get away with Python-based crawlers, which will speed up development time.
Once you have your crawler in place, you’ll need to analyze all the factors mentioned, and Python has many libraries to do so, so a fair Python programmer should do the job rather easy.
All the data would go to a database since there’s not a lot of data, a single MySQL instance would do the job.
On Code Canyon there are several scripts to do SEO audit, they can be used as a base for the final SAAS software and save development time.
Script language or C++
When developing the backend for the on-page audit tool, the selection of the development language should fit the market size.
If the amount of web pages scanned is small, a scripting language like Python or PHP would be a good selection.
If you plan to have many users and many sites scanned, the technical SEO analysis and other on-page analysis will tax your servers, and this means you might need extra servers.
In this case, the tradeoff is between development speed and hardware cost; there’s no right and wrong answer.
Crawler as a download
The main decision, in this case, is which OS to support, if the plan is to support multiple OSs, you should use a development language that is not OS depended like: Python, Java, NodeJS. The drawback is the need to install the development language runtime locally, which on some computer can fail for various reasons.
If the software is meant for a single OS, it can be written in C/C++, with minimal dependencies, this will allow for a higher success rate when installing the software. Also, a good programmer can write C/C++ code that will port easily to Linux/Mac if it’s known upfront.
For a local database, you can use SQLite, which is the gold standard for local databases (I wouldn’t try to install MySQL locally, that would lower installation success rates)
Javascript rendering
Some sites are using Javascript to render their content, which means that if you scrape them with a regular scraper, it will take some or all of their elements.
The solution is to use Headless Chrome, which can be invoked from the command line or controlled via a package called puppeteer.
One thing though, Headless Chrome mentions it’s headless, it does so in the user agent, on our main site we block headless browsers.
Using a script to create a Site Audit tool
Sometimes you need to have a site audit as a lead generation, and it doesn’t need to have all the bells and whistles.
You can find ready-made scripts that do basic site audits on sites like Code Canyon, and you can search for PHP SEO. You’ll find many SEO related scripts.
Keep in mind that we don’t endorse any script, and you should do your due diligence before using any script.
How to make an SEO tool website (small SEO tools)
There is numerous type of sites that provide many small utilities for SEO, like:
• Image conversion
• Image editing
• Various keyword tools
• Various backlinks tools
• Plagiarism Checker
• Article Rewriter
• Grammar Check
• Word Counter
• And more
The site smallseotools.com has an Alexa rank of 2000 (Checked May 2021), which means it gets a lot of traffic from SEO-oriented users.
Creating and promoting such site or adding such features to an existing site can add valuable traffic to any SEO venture.
The easiest way to achieve this is, like we mentioned before, to go to a site like Code Canyon and search for PHP SEO. They have many scripts that allow you to deploy a site similar to smallseotools relatively fast. (remember we don’t endorse any script, and you should do your due diligence)
Some of those sites are also affiliates to the SEO big sites (for example, Semrush). That’s why they can show data such as Backlinks data and Keywords data. If you want to show such data, you could develop your own, use an API, and be an affiliate in exchange for data.
cheap seo tools
1. Google Analytics
Google Analytics can show you everything you need to know when it comes to your website’s data.
For example, Google Analytics can track every action you make on your website and show you how these actions affect traffic and conversions.
I highly recommend Google Analytics when it comes to tracking downloads, clicks, email signups, conversions, and keywords.
2. Google PageSpeed
Did you know that page speed is a direct ranking factor? The faster your webpage loads, the better your ranks can be.
Google PageSpeed is a fantastic tool to measure your website speed on both mobile and desktop. It also suggests improvements based on Google Webmaster Guidelines.
3. Google Keyword Planner
With the Google Keyword Planner is a free tool that you can use when you sign up for a Google Ads account, you can discover highly searched terms or easy-to-rank keywords.
Google can also give you suggested keywords based on your keywords. These suggested keywords also come with key metrics as well!
4. Google Search Console
Google Search Console (previously Google Webmaster Tools) allows you to measure your website’s traffic, performance, and fix any issues when it comes to Google Search results.
For example, Google Search Console can use the Crawl Errors tool to find broken URLs that will show up negatively on Google.
It can also give you a complete breakdown of your backlink profile as well.
You can also see how your website is performing under Search Analytics. Here, you can track the total number of impressions in your SERPs, your average ranking position, and the click-through rate.
You can also find out which page is ranking for which keywords as well.
While Google Search Console is not exactly an SEO tool, the data from Google Search Console, can help you make better-informed decisions.
5. SEO PowerSuite
The SEO PowerSuite is an all-in-one SEO software that covers every step in an SEO campaign. While the SEO PowerSuite has a paid version, the free version remains one of the most effective SEO site suites available.
With the SEO Powersuite (Free Version), you can:
- Track keyword searches, improve your rankings, & steal traffic from your competitors
- Perform SEO audits & optimize your site
- Discover over 100k competitor backlinks & construct your link building strategy
- Manage your links, build new partnerships, & find guest blogging opportunities
6. Screaming Frog
Screaming Frog is a fantastic website crawler that analyses and audits on-site SEO for you (or your competitor’s) site URL.
Here, you can find broken links, errors, and redirects, analyze page titles and metadata, review meta robots and directives, discover duplicate pages, and generate XML sitemaps.
While the Screaming Frog has both paid and free versions, the free version is available for up to 500 URLs.
7. GTmetrix
If you’re keen to boost your page’s speed, you should try GTmetrix. GTmetrix is a Page Speed tool that gives you more in-depth and thorough information about your site’s speed than Google Page Speed Insights.
GTmetrix gives you an overall site speed score, with a breakdown of what’s good and bad about your site.
GTmetrix also ranks your site speed problems in order of priority. The ranking system can help you can focus on the most important page speed factors first.
Furthermore, GTmetrix also explains problems in detail by outlining why, what, and how you can fix the problem.
While GTmetrix has both paid and free versions, the free version lets you monitor up to 3 URLs and save up to 20 URLs.
8. Ubersuggest
Knowing which keywords are the best for your site is hard. But Ubersuggest is a handy little tool. Ubersuggest is a free keyword tool that can give you suggestions based on keyword ideas.
For example, if you want to rank for an article in the travel niche on Berlin Walking tours, you can hop on Ubersuggest, select the country and database you want to rank in and type in a keyword.
Ubersuggest will give you a list of alternate keywords people search for around the keyword you entered. Here, you can view search by toggling volume, cost per click, and competition for each result.
It’s a great way to build up a list of keywords for your website.
9. Check My Links
Did you know that broken links can hurt your SEO? Instead of manually checking your links, you can use Check My Links to crawl your entire site to find broken links.
This way, you can quickly identify and repair these broken links and improve your SEO almost immediately.
For example, Check My Links will highlight valid links in green.
It’ll list warning links in yellow, and broken links you need to fix, in red.
10. Open Link Profiler
One of the best ways to boost your SEO is to build links. With Open Link Profiler’s browser, you gain incredible data about your backlink profile. All you need to do is go to their website and enter your URL.
You’ll then gain access to your Backlink Profile.
You can also access a list that breaks down all the links to your website. You can access their quality and see where the link is from.
You can export up to 1000 links from OpenLinkProfiler for free.
11. Ahrefs
Ahrefs is one of the most expensive tools in the market. Ahref’s Lite plan begins at $99 per month, while the most popular standard plan is $179 per month.
Thankfully, Ahrefs offers a $7 for 7 days trial for both the Lite and Standard Option.
12. SEMRush
SEMRush is another popular, premium, and well-known SEO tool. SEMRush’s Pro plan is $99.95 per month, while the most popular Guru option is $199.95 per month.
With SEMRush, you can sign up for a 7-day free trial for both the Pro and Guru plans.
I personally use SEMRush to find out what my competitors are doing so I can replicate their successes with my site.
Although premium SEO tools are expensive, most tools offer a free trial or a discounted sign-up rate. While they offer a limited time-frame (e.g 7 days, 2 weeks, or 1 month), you can plan what you need from these tools in advance so you can use the trial period effectively.
Conclusion
Let us know your thoughts in the comment section below.
Check out other publications to gain access to more digital resources if you are just starting out with Flux Resource.
Also contact us today to optimize your business(s)/Brand(s) for Search Engines