Santa Barbara County News and Events

AI didn’t kill SEO. It killed average content.

Kraig Pakulski 0 31 Article rating: No rating

Vector illustration of a monitor displaying SEO and AI graphics.

Sammby // Shutterstock

 

For decades, “good enough” content worked. A well-optimized article, a competent explanation of a topic, or a detailed blog post could still earn rankings and drive organic traffic.

That era has ended. Today, authenticity and radical transparency set the competitive baseline for content that ranks and delivers measurable results to businesses.

With generative AI now embedded into nearly every content workflow, the cost and time of producing average content have collapsed. In fact, 90% of marketers report faster production speeds when using AI tools.

However, the dawn of the AI era didn’t kill SEO. It removed the economic advantage of being merely competent, and now brands that publish authentic data and information are the ones that compound authority. While brands that publish interchangeable content disappear into the noise. Here, WebFX examines why volume-based strategies no longer work and what defensible content looks like in practice.

Why volume-based content strategies now work against you

For most of the last decade, content marketing rewarded output. More pages meant more keywords. More keywords meant more visibility in search results.

As generative AI accelerates publishing across industries, search results increasingly contain large clusters of pages that target the same topics, satisfy the same intent, and follow near-identical structures.

So now, search performance increasingly depends on whether your pages add net new value to the ecosystem, not on how many pages you have on your website. Minimalism in content production is becoming a priority.

Several factors explain why increasing content volume alone may hinder organic rankings and visibility efforts.

1. AI-content saturation

Generative AI can automate or accelerate 60%-70% of the time spent on knowledge work, such as research, outlining, and drafting content. Considering the cost of using AI content generation tools, it is likely that other organizations are also using them to fast-track content generation.

This means the web is quickly flooding with identical content that doesn’t provide readers with much value. As a result, search engines may not rank such content well, and it may not earn meaningful visibility or traffic.

2. Topic cannibalization and internal competition

Volume-driven strategies introduce internal competition where multiple pages on your site compete for the same or closely related keywords. This phenomenon, known as keyword or topic cannibalization, forces search engines to treat multiple pages as a single page and reduces the likelihood that individual pages will rank and be visible.

3. Diminished signals of authority and uniqueness

With AI’s rise, the baseline quality of content, which encompasses useful structure, keyword coverage, and readability, is now easy to replicate. This diminishes its relative value as a ra

How common is your bra size?

Kraig Pakulski 0 25 Article rating: No rating

Opened chest drawers storing underwear.

Kostikova Natalia // Shutterstock

 

It is a core human experience to look at yourself and wonder, “Am I normal?” The truth is, there’s no normal, there’s only average or common — and that average size is only an estimate that changes all the time. So what is the average breast size, and why does breast size change? Honeylove explores what the data says about average bra sizes and why they fluctuate.

Of course, you can always use a bra size calculator to find your bra size.

What is the Average Bra Size in the US?

Before diving in, it’s important to note that it’s difficult to get 100% accurate reporting on bra size since it’s primarily done via self-reporting, which means there’s a risk of reporting errors (after all, 80% of women are wearing the wrong size). However, one of the best and most recent surveys conducted was by the brand Intimacy, which surveyed 40,000 women and found that the average bra size was 34DD — up from 34B just 20 years prior. In June 2024, Bedbible surveyed over 5,500 people, covering more than 15,000 international measurements, and found the average U.S. bra size to be 40C.

How Has the Average Bra Size Changed Over Time?

The average bra size has been steadily increasing over the past few decades, and although it’s unclear why this is happening, there are some very likely factors contributing to this trend. One reason for larger bra sizes is likely due to the rise in average BMI across the population. As bodies get bigger overall, breast size tends to increase proportionally.

Another factor is the expansion of size ranges offered by lingerie brands. In the past, women with larger busts often struggled to find well-fitting bras in their size. However, as brands have become more inclusive and begun offering a wider variety of sizes, more women are able to find their true size rather than having to squeeze into a size that’s too small. This has resulted in a larger range of bra sizes.

Additionally, the popularity of breast augmentation surgery has been on the rise in recent years. As more women opt to surgically enhance their bust size, this may contribute to a larger average cup size within the population. While not all women who undergo breast augmentation end up with significantly larger breasts, the overall trend could have an impact on the average bra size.

What Factors Influence Bra Size?

Several key factors play a role in determining an individual’s bra size. Genetics is a significant influence, as family history and hereditary traits heavily impact breast size and shape. Some women are simply predisposed to having larger or smaller busts based on their genetic makeup.

Weight and exercise also contribute to bra size fluctuations. Since breasts are primarily composed of fatty tissue, changes in body weight can directly affect breast size. Maintaining a stable weight through regular exercise can help minimize these fluctuations and promote a more consistent br

What does it cost, emotionally and financially, to build a life together?

Kraig Pakulski 0 23 Article rating: No rating

Couple doing taxes on a computer.

Andrey_Popov // Shutterstock

 

“Will you be my joint account holder?”

It’s not exactly a rom-com line — but for many couples, love isn’t just about chemistry or commitment. It’s also about the mish-mash of money that tends to come with building a life together. That means navigating what’s yours, what’s ours, and how we make sense of it all.

To understand how people are actually navigating the intersection of love and money, Mercury, a fintech platform that offers business and personal banking services*, surveyed 1,400 U.S. adults in committed relationships — spanning generations, income levels, and financial arrangements. The “New Economics of Modern Love” report uncovers more about their choices, feelings, and behaviors around money — including who’s got the account passwords.

Methodology: This report is based on a January 2026 online survey of 1,400 U.S. adults in committed relationships, including 1,200 respondents who share or coordinate finances and 200 who do not. The sample was provided by Sago, a research panel company. Numbers are rounded to the next whole digit; percentages may not add up to 100%.

How people actually think about money — before it ever becomes ‘ours’

Across the survey, respondents most often describe money as:

  • A source of security (48%)
  • A tool to build the life I want (47%)
  • Something I need to manage carefully (43%)

While the first two tended to become more true as people had more money, that last one held pretty evenly, regardless of income, gender, and generation — though people with the most money (annual household incomes over $200,000) or time on Earth (for Mercury’s survey, this was respondents in the Baby Boomer generation) were least likely to be concerned with careful cash management.

Most people feel confident managing their day-to-day money

57% of respondents say they feel confident or very confident managing money in their day-to-day lives. But that confidence is a bit unevenly distributed:

Chart showing percentage of people who feel confident managing money.

Mercury

 

  • Men (67%) report higher financial confidence than women (48%).
  • Confidence increases substantially with household income (44% for couples with HHI under $100,000 versus 76% for those with HHI over $200,000).
  • Married respondents (60%) are more likely to report high confidence than unmarried ones (43%).
     

Generationally, Gen Z (59%), Millennials (61%), and Baby Boomers (58%) had a lead on Gen X (50%) in feeling financially confident or very confident.

Notably, across the board, respondents were more likely to feel confident navigating money with a partner (73%) than managing it alone.

2026 caregiver burnout statistics: How stress shows up in family caregiving

Kraig Pakulski 0 26 Article rating: No rating

A female caregiver helping a senior person to wear socks at home.

CGN089 // Shutterstock

 

Caregiver burnout is widespread, recurring, and closely tied to the realities of family caregiving rather than isolated moments of stress. Drawing on new 2025 survey data from A Place for Mom, this report examines how stress and burnout manifest across emotional, physical, social, and financial dimensions, as well as the caregiving conditions that shape them.

Burnout is widespread and recurring

More than three-quarters of caregivers experience feelings of burnout, with many describing it as a weekly or even daily occurrence. Rather than appearing sporadically, burnout is often persistent, reflecting sustained pressure over time and the broader caregiving conditions in which it occurs.

Caregiver stress rarely appears in isolation

Burnout frequently overlaps with other forms of strain. Caregivers who report burnout also commonly experience emotional stress, disrupted sleep, changes in social connection, and financial pressure, underscoring that stress often spans multiple areas of daily life at once.

Early conditions shape caregiving stress

Preparedness and urgency play an important role at the outset of caregiving. Only about 1 in 4 caregivers report feeling completely prepared when caregiving began, and separate A Place for Mom data shows that urgent care needs and planning regret are common. These early conditions — limited preparation paired with time pressure — often coincide with elevated stress.

Strain and adaptation often coexist

Caregiving experiences are not uniform. Despite high levels of stress, many caregivers report confidence managing responsibilities, regular self-care, and stable or improved family relationships. This coexistence highlights a central tension in family caregiving: Strain and adaptation frequently appear together rather than canceling each other out.

A data chart showing results on how often caregivers experience feelings of burnout.

A Place for Mom

How caregiver stress shows up in family caregiving

Caregiver burnout is widespread in the U.S., but it’s only one aspect of caregiver stress. In A Place for Mom’s 2025 caregiver survey, 78% of caregivers report experiencing feelings of burnout, with many describing burnout as a weekly or even daily occurrence. Beyond burnout, caregivers also experience emotional, physical, social, and financial impacts related to their role. These findings are aligned to those published by the World Health Organization in its report on Read more

Sales leaders: Your waterfall enrichment strategy is costing you deals

Kraig Pakulski 0 23 Article rating: No rating

Person typing on a laptop illustrated with a list of contacts software graphics.

Garun .Prdt // Shutterstock

 

Your outbound team just burned through 5,000 leads last month. Half the emails bounced. A quarter of the phone numbers are disconnected. Your reps spent more time hunting for accurate contact information than actually selling. Apollo.io explains how waterfall enrichment fixes the data quality problem that’s killing your conversion rates.

An infographic summarizing how waterfall enrichment works.

Apollo.io

Key Takeaways

  • Waterfall enrichment queries multiple data providers in sequence until it finds accurate contact information, eliminating the guesswork of choosing a single source
  • Track email deliverability and phone connect rates instead of vanity metrics like database size to measure enrichment effectiveness
  • Evaluate vendors on three criteria: data source diversity, validation accuracy, and workflow integration depth
  • Start with a pilot on your highest-value accounts to prove return on investment before rolling out across all territories
  • Ask vendors which specific data sources they use and in what order; vague answers about “premium providers” are red flags

What problem does waterfall enrichment actually solve?

Waterfall enrichment solves the single-source data quality problem. When you rely on one data provider, you inherit their gaps.

Provider A has great coverage in tech. Provider B excels at healthcare contacts.

Provider C owns small business data. No single source covers everything.

Your sales team experiences this as wasted activity. A rep researches a prospect online, finds their company, clicks into your customer relationship management system to log the activity, and discovers the email address bounces.

The phone number goes to voicemail at a company that closed two years ago. The job title shows “sales manager” when the prospect was promoted to vice president 18 months ago.

This creates three specific problems. First, your reps waste time on contacts who will never respond because the information is wrong.

Second, high bounce rates damage your sender’s reputation, reducing deliverability even for good contacts. Third, your conversion metrics look terrible because you are measuring activity against a database that is 30 to 40 percent inaccurate.

Waterfall enrichment fixes this by checking multiple data sources automatically. When your system needs contact information, it queries Provider A.

If Provider A returns nothing or low-confidence data, the system immediately queries Provider B. Then Provider C.

Then, Provider D. The process continues until it finds validated information or exhausts all sources.

The result: Your reps get acc

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