SEO and UX practices have helped to build a solid website foundation for search engine marketing. By adding web accessibility criteria to your requirements, a new layer of human experience design flings open creative marketing opportunities waiting for discovery.
Agencies, design teams, and independent contractors tasked with creating a digital presence on the web face pressures to keep up with rapid changes in how websites are designed and searched for.
It’s like being chased by an angry mob of imagined competitors who somehow have an imaginary crystal ball. And unless you work all day and night, someone will outsmart you and jump ahead in search results or social chatter – or even become the next big brand.
Sometimes, the process of gathering requirements has a way of easing fears. Nobody knows what you want to build and sell better than you do.
But sometimes the foundation building process opens up pandora’s box.
This article is about what happens when you thought the requirements gathering and planning work were finished, or you are looking for new ideas.
Today’s web users want you to meet them on their own turf.
I will be visiting you each month via Search Engine Journal this year instead of bi-monthly because web accessibility is a topic readers are interested in and really need to master to succeed in modern digital marketing. This month, we lead off with:
- Who needs an accessible web?
- Why does accessibility need to be added to your requirements?
Accessibility Guidelines Support Your Foundation
Just yesterday, SEO was king of the mountain. Historically, it had to be the golden egg because the web was there, we were here, and everything in between wanted our attention.
Search engines and directories numbered in the untold thousands when they were free.
It was in our nature, as SEO pros in those days, to outwit and outmaneuver each other by cleverly organizing data or building technology that would do that for us.
Information architecture sustained SEO. And soon enough, usability came splashing in the same puddles by reminding us that people were searching – and people wanted to be satisfied with where search engines dropped them off.
That ride lasted until more segments of the global population gained access to the internet at home, work, and school.
The solid foundations trusted to sustain website information architectures, chatter politely with search engine bots, and entertain website visitors were suddenly missing a whole new unexplored set of requirements called “human experience.”
Think of it this way.
You may have experienced what it’s like to take your attention off the road while driving your car for just a brief moment, and suddenly find yourself drifting past the painted lines or jolted away when someone honks their horn at you.
The painted lines are there to guide you as you travel along the road.
Every browser, programming language, and marketing strategy has established guidelines that help keep some sort of organization and stability on the web. They are our painted lines.
The World Wide Web Consortium (W3C) holds the keys to the web universe. For universal design, accessibility, assistive tech, the mobile web, and upcoming innovative technologies in the AI realm, we rely on the Web Content Accessibility Guidelines (WCAG).
In the creative realm, guidelines are meant to be broken by those of you who want to design really cool stuff without holding back. Parallax and animation, Flash, and talking people sliding onto webpages are frustrating experiments.
But unless challenged, technology would never change. And we wouldn’t be squealing with delight at the next new search engine, animated avatar, or thoughtful assistance developed for us to use in our daily lives.
The best method to stay on track for any new website project is to gather up requirements and monitor changes to guidelines and technology.
That means there is no getting cozy in your job as an SEO, web designer, digital marketer, agency owner, or UX designer.
Accessibility Jobs Soaring
Some of the recent research round-up news in the accessibility industry is focused on the number of ADA lawsuits. While there’s no doubt this is concerning, it is not why web accessibility job openings are everywhere.
The need for accessibility improvements is important for people who need accessible access to online education, jobs, banking, shopping, healthcare appointments, and travel activities.
Whenever I conduct requirements gathering interviews, the first question is, “Who are you building for?”
No one ever says, “People with disabilities.”
Traditionally, people don’t consider people they don’t understand or have experience with.
Companies that are curious are asking questions and creating solutions, which in turn has revved up the job market.
Amazon, Microsoft, IBM, USA Bank, Apple, Google, and Adobe are expanding their accessibility departments.
Twitter, Medium, YouTube, Instagram, and Facebook are encouraging alt text descriptions for images and captions, with podcasts, Zoom, WebEx, and others in hot pursuit with transcripts.
The beauty of meeting the needs of people who may not be able to see, hear, touch, or recall content without assistance is that the ease of use for them is the ease of use for all.
Who Is Your Target Market?
This is the requirement that will befuddle you because there is no one target human user to design for.
For accessibility, we don’t define our target market or user experience by the disability first and person second. Rather, we aim directly towards the human experience.
With human experience as your “Who,” your requirements gathering exercise can reach far beyond limitations and should do so.
For search behavior and information architecture, the research data is astounding. The information sciences community releases a staggering volume of research studies on the various methods for acquiring information and deciding if and when it is useful.
In one study, Gender Identification on Twitter, one of the research questions is, “Can we easily identify terms related to each gender?”
As hard as you try to wrestle control over keywords, search results, competitive knowledge, and social stardom, the absolute rub is that many discoveries on the web happen by accident or outside of purposeful queries.
You may not write down “emotions” as a search behavior.
You may not jot down feelings like “stress” or “grief” as a user requirement.
Emotions are universal human traits that are more likely not going to come up as a business requirement with the CEO or project lead.
In fact, when it comes to including persons with disabilities – or temporary injuries that cause the loss of an ability, or something as common as poor eyesight or trying to work at home while taking pain medications that cause drowsiness –we know someone will tell us to use an overlay or plug-in to catch those use cases.
Overlays attract ADA lawsuits.
The Why Requirement
At its core, accessibility is a civil right back in the USA by the Americans with Disabilities Act (ADA).
The present administration has turned the attention of the Justice Department back to supporting and enforcing the rights of persons with disabilities.
“In late 2021, the DOJ settled enforcement actions with Rite Aid Corporation and Hy-Vee Supermarket Chain regarding the accessibility of their online COVID-19 vaccine registration portals and with the Champaign-Urbana Mass Transit District regarding the accessibility of its public transportation website and mobile apps.
Why designers and digital marketers find joy in their work can be traced to several outcomes other than a weekly paycheck.
It truly matters when a design works well.
The only way to know without any doubt is to add quality assurance (QA) testing as a requirement. Accessibility testing can be added to Agile production cycles and testing with people with different disabilities added to test sprints.
It is more difficult to evaluate emotions and human behavioral responses, but you can ask for this feedback.
Investigate what motivated customers to make a purchase, for example. What triggers word-of-mouth referrals? Was the product line funny? Clever?
Targeting this emotional need can be a “why” requirement.
I know someone who did this in Q4 of 2021 and sold out of products for her brand-new startup. Her products were based on funny storytelling; the kind that makes readers laugh aloud and fire up PayPal.
Your foundation is as strong as your imagination.
Today’s requirements are layers of proven methodologies and courageous experimentation by companies who are not afraid to find out what will help people do more, do better, and just do like everyone else can.
And of course, we find ourselves confused by silly things like icons that look similar in purpose:
Or brand redesigns that make no sense whatsoever:
No foundation is perfect.
It’s a big planet. Someone is waiting for you to build something cool for them.
Image source: Shutterstock/MIND AND I
Are Contextual Links A Google Ranking Factor?
Inbound links are a ranking signal that can vary greatly in terms of how they’re weighted by Google.
One of the key attributes that experts say can separate a high value link from a low value link is the context in which it appears.
When a link is placed within relevant content, it’s thought to have a greater impact on rankings than a link randomly inserted within unrelated text.
Is there any bearing to that claim?
Let’s dive deeper into what has been said about contextual links as a ranking factor to see whether there’s any evidence to support those claims.
The Claim: Contextual Links Are A Ranking Factor
A “contextual link” refers to an inbound link pointing to a URL that’s relevant to the content in which the link appears.
When an article links to a source to provide additional context for the reader, for example, that’s a contextual link.
Contextual links add value rather than being a distraction.
They should flow naturally with the content, giving the reader some clues about the page they’re being directed to.
Not to be confused with anchor text, which refers to the clickable part of a link, a contextual link is defined by the surrounding text.
A link’s anchor text could be related to the webpage it’s pointing to, but if it’s surrounded by content that’s otherwise irrelevant then it doesn’t qualify as a contextual link.
Contextual links are said to be a Google ranking factor, with claims that they’re weighted higher by the search engine than other types of links.
One of the reasons why Google might care about context when it comes to links is because of the experience it creates for users.
When a user clicks a link and lands on a page related to what they were previously looking at, it’s a better experience than getting directed to a webpage they aren’t interested in.
Modern guides to link building all recommend getting links from relevant URLs, as opposed to going out and placing links anywhere that will take them.
There’s now a greater emphasis on quality over quantity when it comes to link building, and a link is considered higher quality when its placement makes sense in context.
One high quality contextual link can, in theory, be worth more than multiple lower quality links.
That’s why experts advise site owners to gain at least a few contextual links, as that will get them further than building dozens of random links.
If Google weights the quality of links higher or lower based on context, it would mean Google’s crawlers can understand webpages and assess how closely they relate to other URLs on the web.
Is there any evidence to support this?
The Evidence For Contextual Links As A Ranking Factor
Evidence in support of contextual links as a ranking factor can be traced back to 2012 with the launch of the Penguin algorithm update.
Google’s original algorithm, PageRank, was built entirely on links. The more links pointing to a website, the more authority it was considered to have.
Websites could catapult their site up to the top of Google’s search results by building as many links as possible. It didn’t matter if the links were contextual or arbitrary.
Google’s PageRank algorithm wasn’t as selective about which links it valued (or devalued) over others until it was augmented with the Penguin update.
Penguin brought a number of changes to Google’s algorithm that made it more difficult to manipulate search rankings through spammy link building practices.
In Google’s announcement of the launch of Penguin, former search engineer Matt Cutts highlighted a specific example of the link spam it’s designed to target.
This example depicts the exact opposite of a contextual link, with Cutts saying:
“Here’s an example of a site with unusual linking patterns that is also affected by this change. Notice that if you try to read the text aloud you’ll discover that the outgoing links are completely unrelated to the actual content, and in fact, the page text has been “spun” beyond recognition.”
A contextual link, on the other hand, looks like the one a few paragraphs above linking to Google’s blog post.
Links with context share the following characteristics:
- Placement fits in naturally with the content.
- Linked URL is relevant to the article.
- Reader knows where they’re going when they click on it.
All of the documentation Google has published about Penguin over the years is the strongest evidence available in support of contextual links as a ranking factor.
Google will never outright say “contextual link building is a ranking factor,” however, because the company discourages any deliberate link building at all.
As Cutts adds at the end of his Penguin announcement, Google would prefer to see webpages acquire links organically:
“We want people doing white hat search engine optimization (or even no search engine optimization at all) to be free to focus on creating amazing, compelling web sites.”
Contextual Links Are A Ranking Factor: Our Verdict
Contextual links are probably a Google ranking factor.
A link is weighted higher when it’s used in context than if it’s randomly placed within unrelated content.
But that doesn’t necessarily mean links without context will negatively impact a site’s rankings.
External links are largely outside a site owner’s control.
If a website links to you out of context it’s not a cause for concern, because Google is capable of ignoring low value links.
On the other hand, if Google detects a pattern of unnatural links, then that could count against a site’s rankings.
If you have actively engaged in non-contextual link building in the past, it may be wise to consider using the disavow tool.
Featured Image: Paulo Bobita/Search Engine Journal
Is It A Google Ranking Factor?
Latent semantic indexing (LSI) is an indexing and information retrieval method used to identify patterns in the relationships between terms and concepts.
With LSI, a mathematical technique is used to find semantically related terms within a collection of text (an index) where those relationships might otherwise be hidden (or latent).
And in that context, this sounds like it could be super important for SEO.
If you’ve heard rumblings about latent semantic indexing in SEO or been advised to use LSI keywords, you aren’t alone.
But will LSI actually help improve your search rankings? Let’s take a look.
The Claim: Latent Semantic Indexing As A Ranking Factor
The claim is simple: Optimizing web content using LSI keywords helps Google better understand it and you’ll be rewarded with higher rankings.
Backlinko defines LSI keywords in this way:
“LSI (Latent Semantic Indexing) Keywords are conceptually related terms that search engines use to deeply understand content on a webpage.”
By using contextually related terms, you can deepen Google’s understanding of your content. Or so the story goes.
That resource goes on to make some pretty compelling arguments for LSI keywords:
- “Google relies on LSI keywords to understand content at such a deep level.”
- “LSI Keywords are NOT synonyms. Instead, they’re terms that are closely tied to your target keyword.”
- “Google doesn’t ONLY bold terms that exactly match what you just searched for (in search results). They also bold words and phrases that are similar. Needless to say, these are LSI keywords that you want to sprinkle into your content.”
Does this practice of “sprinkling” terms closely related to your target keyword help improve your rankings via LSI?
The Evidence For LSI As A Ranking Factor
Relevance is identified as one of five key factors that help Google determine which result is the best answer for any given query.
As Google explains is its How Search Works resource:
“To return relevant results for your query, we first need to establish what information you’re looking forーthe intent behind your query.”
Once intent has been established:
“…algorithms analyze the content of webpages to assess whether the page contains information that might be relevant to what you are looking for.”
Google goes on to explain that the “most basic signal” of relevance is that the keywords used in the search query appear on the page. That makes sense – if you aren’t using the keywords the searcher is looking for, how could Google tell you’re the best answer?
Now, this is where some believe LSI comes into play.
If using keywords is a signal of relevance, using just the right keywords must be a stronger signal.
There are purpose-build tools dedicated to helping you find these LSI keywords, and believers in this tactic recommend using all kinds of other keyword research tactics to identify them, as well.
The Evidence Against LSI As A Ranking Factor
“…we have no concept of LSI keywords. So that’s something you can completely ignore.”
There’s a healthy skepticism in SEO that Google may say things to lead us astray in order to protect the integrity of the algorithm. So let’s dig in here.
First, it’s important to understand what LSI is and where it came from.
Latent semantic structure emerged as a methodology for retrieving textual objects from files stored in a computer system in the late 1980s. As such, it’s an example of one of the earlier information retrieval (IR) concepts available to programmers.
As computer storage capacity improved and electronically available sets of data grew in size, it became more difficult to locate exactly what one was looking for in that collection.
Researchers described the problem they were trying to solve in a patent application filed September 15, 1988:
“Most systems still require a user or provider of information to specify explicit relationships and links between data objects or text objects, thereby making the systems tedious to use or to apply to large, heterogeneous computer information files whose content may be unfamiliar to the user.”
Keyword matching was being used in IR at the time, but its limitations were evident long before Google came along.
Too often, the words a person used to search for the information they sought were not exact matches for the words used in the indexed information.
There are two reasons for this:
- Synonymy: the diverse range of words used to describe a single object or idea results in relevant results being missed.
- Polysemy: the different meanings of a single word results in irrelevant results being retrieved.
These are still issues today, and you can imagine what a massive headache it is for Google.
However, the methodologies and technology Google uses to solve for relevance long ago moved on from LSI.
What LSI did was automatically create a “semantic space” for information retrieval.
As the patent explains, LSI treated this unreliability of association data as a statistical problem.
Without getting too into the weeds, these researchers essentially believed that there was a hidden underlying latent semantic structure they could tease out of word usage data.
Doing so would reveal the latent meaning and enable the system to bring back more relevant results – and only the most relevant results – even if there’s no exact keyword match.
Here’s what that LSI process actually looks like:
And here’s the most important thing you should note about the above illustration of this methodology from the patent application: there are two separate processes happening.
First, the collection or index undergoes Latent Semantic Analysis.
Second, the query is analyzed and the already-processed index is then searched for similarities.
And that’s where the fundamental problem with LSI as a Google search ranking signal lies.
Google’s index is massive at hundreds of billions of pages, and it’s growing constantly.
Each time a user inputs a query, Google is sorting through its index in a fraction of a second to find the best answer.
Using the above methodology in the algorithm would require that Google:
- Recreate that semantic space using LSA across its entire index.
- Analyze the semantic meaning of the query.
- Find all similarities between the semantic meaning of the query and documents in the semantic space created from analyzing the entire index.
- Sort and rank those results.
That’s a gross oversimplification, but the point is that this isn’t a scalable process.
This would be super useful for small collections of information. It was helpful for surfacing relevant reports inside a company’s computerized archive of technical documentation, for example.
The patent application illustrates how LSI works using a collection of nine documents. That’s what it was designed to do. LSI is primitive in terms of computerized information retrieval.
Latent Semantic Indexing As A Ranking Factor: Our Verdict
While the underlying principles of eliminating noise by determining semantic relevance have surely informed developments in search ranking since LSA/LSI was patented, LSI itself has no useful application in SEO today.
It hasn’t been ruled out completely, but there is no evidence that Google has ever used LSI to rank results. And Google definitely isn’t using LSI or LSI keywords today to rank search results.
Those who recommend using LSI keywords are latching on to a concept they don’t quite understand in an effort to explain why the ways in which words are related (or not) is important in SEO.
Relevance and intent are foundational considerations in Google’s search ranking algorithm.
Those are two of the big questions they’re trying to solve for in surfacing the best answer for any query.
Synonymy and polysemy are still major challenges.
Semantics – that is, our understanding of the various meanings of words and how they’re related – is essential in producing more relevant search results.
But LSI has nothing to do with that.
Featured Image: Paulo Bobita/Search Engine Journal
What Is a Google Broad Core Algorithm Update?
Google’s acknowledgment of core updates is always vague and doesn’t provide much detail other than to say the update occurred.
The SEO community is typically notified about core updates via the same standard tweets from Google’s Search Liaison.
There’s one announcement from Google when the update begins rolling out, and one on its conclusion, with few additional details in between (if any).
This invariably leaves SEO professionals and site owners asking many questions with respect to how their rankings were impacted by the core update.
To gain insight into what may have caused a site’s rankings to go up, down, or stay the same, it helps to understand what a broad core update is and how it differs from other types of algorithm updates.
After reading this article you’ll have a better idea of what a core update is designed to do, and how to recover from one if your rankings were impacted.
So, What Exactly Is A Core Update?
First, let me get the obligatory “Google makes hundreds of algorithm changes per year, often more than one per day” boilerplate out of the way.
In the case of Penguin, it was link spam; in the case of Pigeon, it was local SEO spam.
They all had a specific purpose.
In these cases, Google (sometimes reluctantly) informed us what they were trying to accomplish or prevent with the algorithm update, and we were able to go back and remedy our sites.
A core update is different.
The way I understand it, a core update is a tweak or change to the main search algorithm itself.
You know, the one that has between 200 and 500 ranking factors and signals (depending on which SEO blog you’re reading today).
What a core update means to me is that Google slightly tweaked the importance, order, weights, or values of these signals.
Because of that, they can’t come right out and tell us what changed without revealing the secret sauce.
The simplest way to visualize this would be to imagine 200 factors listed in order of importance.
Now imagine Google changing the order of 42 of those 200 factors.
Rankings would change, but it would be a combination of many things, not due to one specific factor or cause.
Obviously, it isn’t that simple, but that’s a good way to think about a core update.
Here’s a purely made up, slightly more complicated example of what Google wouldn’t tell us:
“In this core update, we increased the value of keywords in H1 tags by 2%, increased the value of HTTPS by 18%, decreased the value of keyword in title tag by 9%, changed the D value in our PageRank calculation from .85 to .70, and started using a TF-iDUF retrieval method for logged in users instead of the traditional TF-PDF method.”
(I swear these are real things. I just have no idea if they’re real things used by Google.)
For starters, many SEO pros wouldn’t understand it.
Basically, it means Google may have changed the way they calculate term importance on a page, or the weighing of links in PageRank, or both, or a whole bunch of other factors that they can’t talk about (without giving away the algorithm).
Put simply: Google changed the weight and importance of many ranking factors.
That’s the simple explanation.
At its most complex form, Google ran a new training set through their machine learning ranking model and quality raters picked this new set of results as more relevant than the previous set, and the engineers have no idea what weights changed or how they changed because that’s just how machine learning works.
(We all know Google uses quality raters to rate search results. These ratings are how they choose one algorithm change over another – not how they rate your site. Whether they feed this into machine learning is anybody’s guess. But it’s one possibility.)
It’s likely some random combination of weighting delivered more relevant results for the quality raters, so they tested it more, the test results confirmed it, and they pushed it live.
How Can You Recover From A Core Update?
Unlike a major named update that targeted specific things, a core update may tweak the values of everything.
Because websites are weighted against other websites relevant to your query (engineers call this a corpus) the reason your site dropped could be entirely different than the reason somebody else’s increased or decreased in rankings.
To put it simply, Google isn’t telling you how to “recover” because it’s likely a different answer for every website and query.
It all depends on what everybody else trying to rank for your query is doing.
Does every one of them but you have their keyword in the H1 tag? If so then that could be a contributing factor.
Do you all do that already? Then that probably carries less weight for that corpus of results.
It’s very likely that this algorithm update didn’t “penalize” you for something at all. It most likely just rewarded another site more for something else.
Maybe you were killing it with internal anchor text and they were doing a great job of formatting content to match user intent – and Google shifted the weights so that content formatting was slightly higher and internal anchor text was slightly lower.
(Again, hypothetical examples here.)
In reality, it was probably several minor tweaks that, when combined, tipped the scales slightly in favor of one site or another (think of our reordered list here).
Finding that “something else” that is helping your competitors isn’t easy – but it’s what keeps SEO professionals in the business.
Next Steps And Action Items
Rankings are down after a core update – now what?
Your next step is to gather intel on the pages that are ranking where your site used to be.
Conduct a SERP analysis to find positive correlations between pages that are ranking higher for queries where your site is now lower.
Try not to overanalyze the technical details, such as how fast each page loads or what their core web vitals scores are.
Pay attention to the content itself. As you go through it, ask yourself questions like:
- Does it provide a better answer to the query than your article?
- Does the content contain more recent data and current stats than yours?
- Are there pictures and videos that help bring the content to life for the reader?
Google aims to serve content that provides the best and most complete answers to searchers’ queries. Relevance is the one ranking factor that will always win out over all others.
Take an honest look at your content to see if it’s as relevant today as it was prior to the core algorithm update.
From there you’ll have an idea of what needs improvement.
The best advice for conquering core updates?
Keep focusing on:
- User intent.
- Quality content.
- Clean architecture.
- Google’s guidelines.
Finally, don’t stop improving your site once you reach Position 1, because the site in Position 2 isn’t going to stop.
Yeah, I know, it’s not the answer anybody wants and it sounds like Google propaganda. I swear it’s not.
It’s just the reality of what a core update is.
Nobody said SEO was easy.
Featured Image: Ulvur/Shutterstock
What is marketing automation?
TikTok’s Working on a New, Opt-In Function to Show You Who Viewed Your Profile
‘Flurona’ is a great example of how misinformation can circulate
Are Contextual Links A Google Ranking Factor?
Is It A Google Ranking Factor?
January 22nd Another Unconfirmed Google Search Ranking Update
What Is a Google Broad Core Algorithm Update?
Google Says It’s Not Possible To Prevent Outages
12 Helpful SEO Tools for Your Brand in 2022 [Infographic]
New Survey Shows that Social Media Users are Increasingly Concerned About Data Privacy [Infographic]
WordPress 5.9 to Introduce Language Switcher on Login Screen
Here’s How Meta Is Changing Facebook Ads Targeting For 2022
14 Top Reasons Why Google Isn’t Indexing Your Site
20 Tips and Best Practices
Pages That Look Like Error Pages Can Be Considered Soft 404s By Google
Are Nofollow Links a Google Ranking Factor?
17 Actionable Content Marketing Tips for 2022
Picking SEO Keywords: An Expert’s Guide
10 Things You Need To Know To Be Successful
How To Help Google Rank Products With Duplicate Descriptions
SEARCHENGINES3 days ago
Google Search Ranking Update On January 19th & 20th
MARKETING4 days ago
Which Social Networks Should You Advertise on in 2022?
SEARCHENGINES4 days ago
Some Sites Seeing Massive Crawl Spikes From Google
SEARCHENGINES2 days ago
Bug With Google Ads Discovery & Performance Max Campaigns & New Placement Reports
SEARCHENGINES2 days ago
Google Looking To Make Crawling More Efficient & Environmental Friendly
SEO19 hours ago
What Is a Google Broad Core Algorithm Update?
MARKETING2 days ago
How to Create Functional SOPs (That Your Employees Actually Use)
SEARCHENGINES1 day ago
Google New York City Conference Room View