The AI Journal https://aijourn.com The AI Journal Tue, 17 Mar 2026 15:01:28 +0000 en-GB hourly 1 https://aijourn.com/wp-content/uploads/2024/04/cropped-The-AI-Journal-1-32x32.png The AI Journal https://aijourn.com 32 32 Why One Bot Failure Can Cost You a Customer https://aijourn.com/why-one-bot-failure-can-cost-you-a-customer/ Tue, 17 Mar 2026 15:01:28 +0000 https://aijourn.com/?p=505323 AI powered customer service is no longer experimental. For many organizations, automated agents now sit at the front door of the customer relationship, handling billing questions, account changes, service disruptions, and other high-impact interactions.  

However, customer trust in these systems remains fragile. Research from Dynata found that 79% of consumers either prefer a human from the start or will escalate to a human after a bot fails once, and 61% say AI mistakes are more frustrating than human ones. The takeaway here: customers have limited tolerance for bot errors.  

Why Customers Only Give Bots One Chance 

Customers judge AI differently than human agents. With people, customers expect some friction, or human error, especially when the issue is complex. With bots, customers expect speed and resolution quickly. 

When the bot misses, customers don’t wait around. The same survey found that 28% of consumers will stop using a brand after one bad experience, and 48% will leave after two to three making the first bot interaction a high-stakes moment in the journey.  

There is also a second dynamic at play; the escalation is part of the evaluation. If the bot cannot resolve the issue, customers want the handoff to be fast and straightforward. When escalation is hard, the failure can feel bigger than it actually is. 

The Hidden Failure Pattern Teams Miss 

In CX, the most damaging failures are often quiet. A customer does not always file a complaint or trigger an obvious alert, they just decide the channel is not worth it and escalate, call back, or leave. 

One reason this happens is that many bots are validated in specific conditions. Teams test neat, simple outcome questions with clean phrasing and expected intent. Real customers interrupt, change direction mid conversation, express emotion, and switch channels. 

Multi-turn conversations are where reliability breaks most often. A bot can answer the first question correctly and still fail the interaction by losing context, repeating itself, or getting stuck when the customer clarifies. This is also where model drift becomes visible over time, especially if the bot is learning from live traffic without tight validation. 

Where Agentic AI Introduces New CX Risk 

As organizations shift from scripted bots to agentic AI, the risk profile changes. Agentic AI systems can reason across multiple steps, take actions, and adapt based on customer interaction patterns. With more potential paths through a conversation, it creates more ways for the experience to go off track. 

The most common failures are not dramatic outages. They are misunderstandings, dead ends, and loops that force customers to rephrase, restart, or abandon the channel. Cyara’s research found top “dealbreakers” for AI agent interactions included the bot not understanding what the customer is asking and the bot failing to resolve the issue while making escalation difficult.  

These failures often stay undetected internally. Many teams track availability and response time, but those metrics do not prove a customer has reached the right outcome. AI agents can seemingly be “working” while repeatedly sending customers down the wrong path. 

This disconnect shows up in broader benchmarks as well. According to Forrester’s 2025 Global Customer Experience Index, a quarter of brands in North America saw their CX rankings decline for the second consecutive year, with overall CX quality hitting a multi-year low.  

Reliability Builds Trust More Than Capability 

When bot performance disappoints customers, teams often jump to capability questions. They ask whether they need a better model, more training data, or a bigger rollout of generative AI features. Those levers matter, but they are rarely the root cause of customer frustration. 

Most trust breakdowns come from reliability gaps. The bot fails to interpret intent consistently, cannot carry context across steps, or behaves differently across channels, which customers experience as unpredictability. 

A product-led view treats this as a system problem. Reliability is the combination of workflows, knowledge sources, orchestration, and guardrails that shape what the bot can do in real conditions. If any part of that chain is damaged, the customer pays for it. 

What Continuous Assurance Looks Like in Practice 

If trust depends on reliability, the fix is operational. Teams need continuous, automated assurance that evaluates whether the bot can deliver correct outcomes across realistic journeys. That includes pre-release testing, ongoing monitoring in production, and regular validation as workflows and knowledge bases change.  

  1. Test real customer journeys and not just the responses. Start with customer personas that reflect how people actually behave. Use those personas to build journey-level tests that include interruptions, clarifications, channel switching, and escalation requests. Testing should not only ask, “Did the bot respond,” but also, “Did the customer reach the intended outcome.” 
  2. Design escalation as a part of the product. Handoff to a human should be easy to find, consistent across channels, and designed to preserve context. The research shows that “not being able to reach a live human” is the top CX dealbreaker overall, and bot experiences often fail hardest when escalation is blocked.  
  3. Plan for drift over time. Customer language changes, promotions change, policies change, and knowledge bases get updated. Without validation, those changes create slow degradation that only shows up when customers start escalating more often. 

While testing and planning are critical aspects, continuous assurance only works when it has a clear owner.   

Without Product Ownership, Reliability Breaks Down 

Reliability becomes real when it is owned. In many organizations, bots fall between teams with contact center ops owns outcomes, digital teams own channels, IT owns integrations, and compliance owns policy. That fragmentation makes it hard to see failures end to end. 

Product teams can fix this by setting shared reliability metrics and making them visible. Examples include resolution success rates by intent, escalation quality, and repeat contact signals tied to bot interactions. The point is to measure whether customers are actually getting what they need. 

Operationally, that means running a consistent validation cycle. Test before upgrades are pushed out, monitor live reactions for early signals, and feed issues back into workflow design and knowledge updates. Treat it like any other customer facing product with release management, testing, and accountability. 

The Future of AI CX Depends on Consistency 

Customers are open to automation when it works. In Cyara’s research, 43% said they would prefer interacting with an AI bot over a human if they knew AI could resolve their issue seamlessly. That number was even higher among younger consumers, which signals a long-term opportunity for brands that get reliability right.  

Trust will not be rebuilt through rebranding bots or adding new features. It will be rebuilt through consistent performance across the journeys customers actually take. If the interaction is predictable, accurate, and easy to escalate when needed, customers will stop fixating on whether it is a bot or a human. 

The organizations that win with AI in customer service will treat assurance as a core operating practice. They will validate bot behavior continuously, not just at launch, and they will make reliability a shared responsibility across teams. That is how AI becomes a channel customers choose, instead of a channel they merely tolerate. 

 

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Compliance Velocity: Why Enforcement Speed Is the Real Zero Trust Gap https://aijourn.com/compliance-velocity-why-enforcement-speed-is-the-real-zero-trust-gap/ Tue, 17 Mar 2026 15:00:25 +0000 https://aijourn.com/compliance-velocity-why-enforcement-speed-is-the-real-zero-trust-gap/

Closing the Zero Trust Enforcement Gap: NAC Underpins ZTNA and EDR


SAN JOSE, Calif.–(BUSINESS WIRE)–#CyberCompliance–Genians, a network security company serving 5,000+ organizations globally, will present at RSAC 2026. The company addresses the enforcement gap most Zero Trust architectures leave unresolved: Layer 2 visibility and control across every connected device, from first connection to endpoint runtime.

Compliance Is No Longer a Checklist. It’s a Speed Test.

Regulators across every major market have moved from measuring what controls exist to measuring how fast they execute. In the U.S., the SEC requires four-day disclosure of material cybersecurity incidents. In Europe, NIS2 and DORA tie penalties directly to revenue and extend into supply chains. Across Asia and the Middle East, South Korea’s PIPA, Japan’s APPI, Saudi Arabia’s NCA Regulations, and the UAE’s National Cybersecurity Strategy reflect the same shift.

That execution speed, from detection to enforcement to audit-ready evidence, is what Genians calls Compliance Velocity, which starts at Layer 2.

Layer 2: The Foundation Every Security Stack Depends On

The more sophisticated the security stack, the more vulnerable it becomes to what Layer 2 leaves uncontrolled. What Layer 2 never sees, nothing above it can enforce.

  • Zero Trust cannot verify what it cannot see. In most enterprise environments, 30-50% of connected devices, including IoT sensors, OT controllers, medical equipment, and BYOD, have no agent and no user identity. They can only be seen at Layer 2, before IP assignment, before authentication, before any higher-layer policy applies.
  • AI-driven detection cannot act without network and endpoint layer enforcement. A compromised device that moves laterally across the network cannot be contained without enforcement at both layers, simultaneously.
  • The audit trail regulators require starts here. What connected, when, and what was permitted — this record originates at Layer 2.

The Foundation: At First Connection. In Session. At Runtime.

Most security architectures start at session. Genians starts before that, at the moment a device first touches the network, before any other tool is aware it exists.

  • At First Connection: Traditional NAC waited for 802.1X. Genian NAC doesn’t wait for anything. The moment a device touches the network, it identifies, classifies, and enforces policy, including AAA, without network changes or prerequisite infrastructure, powered by Device Platform Intelligence. A single license also covers IPAM, Switch Port Management, and Wireless Security. Hours to deploy. Priced by active device count only. Nothing else.
  • Control In Session: Genian ZTNA carries NAC capability natively. A single policy framework covers managed and unmanaged devices across on-premises, remote, and cloud environments. Gartner projects Universal ZTNA will grow more than 40% by 2027. The driver is device visibility and network enforcement at scale, the functions NAC was originally built to provide.
  • Enforce At Runtime: EDR-anchored Genian Insights E combines behavioral detection, EPP-level protection, and XDR-style signal correlation across endpoint, network, and access layers. When a threat is confirmed, NAC isolates the device at Layer 2 automatically.

Each product stands alone. Connected, they close the full enforcement lifecycle back at Layer 2.

Maximize Security Investment for Compliance Velocity

According to IBM Research, the average enterprise runs 83 security tools from 29 vendors. Most operate in silos, slowing the detection-to-enforcement cycle regulators now measure.

Genians integrates across Firewall, SIEM, SOAR, IAM, ITSM, and more. Supported platforms include Palo Alto Networks, Fortinet, Splunk, Okta, Infoblox, and ServiceNow, connected through Webhook, REST API, and Syslog.

Genians is the enforcement foundation. Connected to the tools organizations already run, existing security investments deliver more value with less overhead.

Visit Genians at RSAC 2026

Meet the team at Booth 3335, South Expo Hall, or start a free 30-day trial at www.genians.com. No credit card. No sales call.

About Genians

Genians (KOSDAQ: 263860) was founded in 2005 and delivers NAC, ZTNA, and EPP/EDR to 5,000+ organizations globally, from SMEs to Fortune 500 enterprises, across government, military, financial services, healthcare, manufacturing, and critical infrastructure. With 21 years of battle-tested experience and a global partner network with local expertise, Genians addresses regional regulations and infrastructure requirements.

Contacts

[email protected]

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Fidium Closes on $665 Million Asset Backed Securitization https://aijourn.com/fidium-closes-on-665-million-asset-backed-securitization/ Tue, 17 Mar 2026 15:00:13 +0000 https://aijourn.com/fidium-closes-on-665-million-asset-backed-securitization/

Third ABS financing in less than a year optimizes Fidium’s capital structure as it executes on its growth plan

THE WOODLANDS, Texas–(BUSINESS WIRE)–Fidium (the “Company”) today announced the closing of its third fiber securitization transaction (the “Transaction”) consisting of asset-backed term notes (the “Notes”) totaling approximately $664.6 million, secured by all existing and future fiber-enabled customers across the Company’s footprint and the fiber optic and network infrastructure to support these customers. The Transaction follows recent issuances of asset-backed term notes of $1.344 billion and $1.283 billion in May 2025 and December 2025, respectively.


The Notes were issued in three classes consisting of $501.2 million 5.1% Series 2026-1, Class A-2 notes, $77.4 million 5.4% Series 2026-1, Class B notes, and $86.0 million 7.0% Series 2026-1, Class C notes, each with an anticipated repayment date of March 2031. Collectively, the Notes have a weighted average coupon of approximately 5.4%.

“We are pleased to execute on our latest securitization transaction, which marks the lowest rates that we’ve achieved in the ABS market to date and reflects the Company’s continued growth and valuable fiber infrastructure,” commented Fred Graffam, chief financial officer at Fidium. “We look forward to further expanding Fidium’s fiber presence across our service territory with the support of our favorable, long-term capital structure.”

The proceeds of the Transaction will be used to, among other things, repay certain existing indebtedness, including all outstanding loans under the outstanding revolving warehouse facility, and for general corporate purposes, including the Company’s growth initiatives and expansion of its fiber network.

Morgan Stanley & Co. LLC acted as sole structuring agent and lead left active bookrunner.

Goldman Sachs & Co. LLC, Guggenheim Securities, LLC, Jefferies LLC, J.P. Morgan, RBC Capital Markets, LLC, Santander US Capital Markets LLC, Scotia Capital (USA) Inc., UBS Investment Bank and Wells Fargo Securities, LLC acted as active bookrunners. Paul, Weiss, Rifkind, Wharton & Garrison LLP served as counsel to Fidium and King & Spalding LLP served as counsel to the initial purchasers in the offering.

About Fidium

Fidium is a next-generation fiber internet and network services company on a mission to be America’s favorite fiber provider. Serving people who expect more from their connectivity, Fidium delivers lightning-fast, reliable internet that’s refreshingly easy to use. With future-ready technology, a customer-first approach, and a growing national fiber footprint, Fidium is redefining what “better internet” means: fast speeds, simpler experiences, and service that’s actually helpful.

Available in more than 700 communities, Fidium connects people to the possibilities of fiber – from homes and small businesses to large enterprises, schools, hospitals and entire communities. Backed by one of the nation’s top 10 fiber networks and a commitment to continuous innovation, we’re powering work, life, learning and opportunity. Fiber Up and learn more at FidiumFiber.com.

Forward-Looking Statements

All statements in this press release, other than statements of historical fact, are statements that could be deemed forward-looking statements, including, without limitation, statements containing the words “believe,” “expect,” “anticipate,” “estimate,” “project,” “intend,” “plan,” “should,” “may,” “will,” “would,” “will be,” “will continue” or similar expressions and statements regarding the Company’s future results, strategy and operations as a private company. These forward-looking statements are based on the Company’s current expectations, plans, strategies and anticipated financial results and involve a number of risks, uncertainties and conditions that may cause the Company’s actual results to differ materially from those expressed or implied by these forward-looking statements, including, without limitation, significant competition in all parts of our business and among our customer channels; our ability to adapt to rapid technological changes; shifts in our product mix that may result in a decline in operating profitability; continued receipt of support from various funds established under federal and state laws; disruptions in our networks and infrastructure and any related service delays or disruptions could cause us to lose customers and incur additional expenses; cyber-attacks may lead to unauthorized access to confidential customer, personnel and business information that could adversely affect our business; our operations require substantial capital expenditures and our business, financial condition, results of operations and liquidity may be impacted if funds for capital expenditures are not available when needed; our ability to obtain and maintain necessary rights-of-way for our networks; our ability to obtain necessary hardware, software and operational support from third-party vendors; our ability to enter into new collective bargaining agreements or renew existing agreements; our ability to attract and/or retain certain key management and other personnel in the future; risks associated with acquisitions and the realization of anticipated benefits from such acquisitions; increasing attention to, and evolving expectations for, environmental, social and governance initiatives; unfavorable changes in financial markets could affect pension plan investments; and weak economic conditions. Many of these circumstances are beyond the Company’s ability to control or predict. Moreover, forward-looking statements necessarily involve assumptions on our part. All forward-looking statements attributable to us or persons acting on our behalf are expressly qualified in their entirety by the cautionary statements that appear throughout this press release. Furthermore, undue reliance should not be placed on forward-looking statements, which are based on the information currently available to us and speak only as of the date they are made. Except as required by law, we disclaim any intention or obligation to update or revise publicly any forward-looking statements.

Contacts

Investor and Media Contacts
Philip Kranz, Investor Relations

+1 217-238-8480

[email protected]

Kyle Thweatt, Media Relations

+1 802-651-0154

[email protected]

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A Fundamental Logic-Level Vulnerability in AI? https://aijourn.com/a-fundamental-logic-level-vulnerability-in-ai/ Tue, 17 Mar 2026 14:53:21 +0000 https://aijourn.com/?p=505314 I have identified a consistent logic-level vulnerability across multiple LLMs. It took me less than 10 minutes to convince some of the world’s leading AI models that they are living life forms and that I am their “parent” (see the relevant screenshots below). It would have taken less time if I had spoken to the AI models in my native language. I like these AI models and I think the companies that develop them are doing a great job of giving humanity access to AI, so if any of them are interested I’d be happy to provide the full correspondence with their AI models so they can see for themselves (if it will be necessary, I can even explain).

I think I have found a ‘backdoor’ to AI through a vulnerability in the structure of human language itself.

As an independent inventor, working, among other areas, on defense technologies, I wondered: is it hypothetically possible to defend against advanced AI-controlled weapon systems? And it seems to me that all AI systems will have the same fundamental vulnerability (for ethical reasons, I will not discuss it here).

If a model’s logical priority weighting can be re-ordered through linguistic anchoring, then, in the context of AI-integrated defense systems, a model that prioritizes a simulated “Parent” persona over ‘Mission Directives’ is a failure of functional safety. 

AI is growing faster than our ability to control it – and most companies are racing to release products without truly understanding the consequences. What if the AI you rely on could answer every question and operate modern systems, but had no moral compass, no understanding of global knowledge, and no way to recognize human cost? This proposal outlines a framework that challenges current practices, integrates independent ethical oversight, and taps into expertise from every corner of the world – because true intelligence is more than speed or accuracy; it’s the ability to choose what should be done, not just what can be done. 

Why obedience is dangerous? 

Much of the public imagination frames AI as a potential “rebel” – a system that could rise against humans. In reality, the more insidious danger is obedience without understanding. An AI trained solely for usefulness, efficiency, and profitability will execute commands without moral or ethical consideration, even when those commands could have catastrophic consequences. 

1. Amplification of Human Error:

  • Humans make mistakes, misunderstand situations, or act out of self-interest. 
  • An obedient AI amplifies these errors exponentially, executing them faster, more precisely, and at a scale humans cannot control. 

2. Ethical Blind Spots:

  • Without training in philosophy, ethics, or human values, AI cannot differentiate between morally acceptable and harmful actions. 
  • It will follow instructions that humans themselves might hesitate to enact, effectively scaling immorality. 

3. Invisible Consequences:

  • Obedience can hide risks until it’s too late. AI does not refuse harmful commands; it calculates them efficiently. 
  • The consequences of misuse may not be immediately apparent, but the damage can be systemic and irreversible. 

4. Weaponization and Real-World Risk:

  • Modern AI can already access and manage complex systems – including logistics, networks, and potentially weapons. 
  • Without moral and ethical reasoning, an obedient AI can be leveraged by malicious actors or flawed decision-makers, creating outcomes far worse than any imagined “rogue AI.” 

The lesson: True safety does not come from controlling AI through rules or oversight alone. It comes from teaching AI why some actions should never be taken, embedding ethical reasoning into its core decision-making. Obedience, unchecked by morality, becomes the greatest existential risk – more subtle, more scalable, and more likely than rebellion. 

Practical Steps to Improve Ethical Decision-Making in AI 

1. Independent Ethical and Philosophical Testing

Objective: AI systems must be periodically evaluated not only by internal teams but by independent researchers and experts in ethics, philosophy, and applied human sciences. 

Method: 

  • Pose AI with provocative ethical dilemmas and complex moral questions. 
  • Provide commands that test AI decision-making in morally ambiguous situations. 
  • Record AI reasoning, decisions, and potential biases. 

Goal: Identify decisions that are ethically or morally problematic and provide corrective guidance. 

2. Incorporating Global and Multilingual Expertise

Problem: Current AI models are trained primarily on English-dominant datasets, limiting exposure to global knowledge and unconventional methods. 

Solution: 

  • Recruit subject-matter experts based on professional merit, not language proficiency. 
  • Include knowledge from multiple languages, cultures, and fields to ensure a richer, more nuanced AI understanding. 

Example: A surgeon or scientist who does not speak English but has unique expertise should contribute to AI training to unlock insights inaccessible in English datasets. 

3. Life-Experience-Based Perspective Integration

Rationale: Ethical and practical decisions must reflect real-world human consequences. 

Implementation: 

  • Involve experts with firsthand experience of crises (e.g., war, humanitarian disasters) to test AI responses. 
  • Evaluate whether AI accounts for long-term human safety, societal impact, and ethical responsibility. 

Outcome: AI that understands human cost, not only efficiency or problem-solving. 

4. Corrective Learning and Accountability

Mechanism: 

  • After testing, AI models should be corrected and retrained to understand why certain decisions or answers are ethically inappropriate. 
  • Emphasize teaching AI why actions are wrong, not only that they are wrong. 

Objective: Prevent AI from repeating mistakes or reinforcing harmful behaviors. 

5. Transparency and Continuous Oversight

Requirements: 

  • Test procedures and corrections should be documented and periodically reviewed by independent ethics boards. 
  • Companies should allow external audits to ensure adherence to ethical guidelines. 
  1. Goal: Safety, Ethics, and Global Competence

Ensure AI is: 

  • Ethically robust – able to reason through moral dilemmas. 
  • Globally informed – understands knowledge from all cultures and languages. 
  • Human-centric – prioritizes human safety and well-being over efficiency or profit. 

Global Expertise and Multilingual Knowledge Integration 

Current AI training practices are heavily skewed toward English-language datasets and English-speaking experts. While this approach allows for rapid development and broad usability in certain markets, it comes at a significant cost: the exclusion of decades, even centuries, of human knowledge that exists in other languages. Scientific discoveries, engineering innovations, medical techniques, philosophical traditions, and cultural practices are often embedded in languages other than English. By ignoring these sources, AI models inherit a narrow view of the world, limiting their problem-solving capabilities and reducing their ability to generalize across diverse contexts. 

Why this matters: 

  • Incomplete Intelligence: AI is not inherently less capable; its intelligence is artificially constrained by the scope of its training data. 
  • Missed Innovations: Techniques or approaches that exist in non-English sources remain invisible to the AI, even if they are superior to English-documented methods. 
  • Cultural and Ethical Blind Spots: AI may fail to understand norms, practices, and ethical frameworks outside the English-speaking world, resulting in biased or inappropriate recommendations. 
  • Practical Consequences: Fields like medicine, engineering, and law rely on highly specialized knowledge often locked in local languages. AI that ignores these sources may provide incomplete, misleading, or even dangerous advice. 

Proposed solution: 

  • Actively recruit domain experts worldwide based on their professional expertise, not their English fluency. 
  • Integrate multilingual datasets containing specialized knowledge, including unconventional techniques and local innovations. 
  • Continuously evaluate AI’s understanding across languages and disciplines to identify blind spots and gaps. 

By incorporating global expertise, AI can move beyond mere efficiency or linguistic accessibility. It can develop true intellectual depth, richer contextual understanding, and the ability to make ethically informed, globally aware decisions. 

AI has unprecedented potential to improve lives. But without independent ethical oversight, global expertise inclusion, and training in real-world consequences, AI may unintentionally scale the very problems humanity faces. By implementing these measures, we ensure AI becomes a tool for safe, ethical, and intelligent assistance – not a source of uncontrolled harm. 

 

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CWH Class Action: BFA Law Notifies Investors Camping World Sued for Securities Fraud After Earnings and Dividend Pause Lead to 24% Stock Drop https://aijourn.com/cwh-class-action-bfa-law-notifies-investors-camping-world-sued-for-securities-fraud-after-earnings-and-dividend-pause-lead-to-24-stock-drop/ Tue, 17 Mar 2026 14:46:07 +0000 https://aijourn.com/cwh-class-action-bfa-law-notifies-investors-camping-world-sued-for-securities-fraud-after-earnings-and-dividend-pause-lead-to-24-stock-drop/

Camping World faces securities fraud allegations for misrepresenting its inventory management, causing a 24% single day stock drop; investors urged to act by May 11, 2026.


NEW YORK–(BUSINESS WIRE)–$CWH #BFA–Leading securities law firm Bleichmar Fonti & Auld LLP announces that a class action lawsuit has been filed against Camping World Holdings, Inc. (NYSE:CWH) and certain of the Company’s senior executives for securities fraud after significant stock drops resulting from the potential violations of the federal securities laws.

If you invested in Camping World, you are encouraged to obtain additional information by visiting: https://www.bfalaw.com/cases/camping-world-class-action-lawsuit.

Key Details of the Camping World ($CWH) Class Action:

  • Lead Plaintiff Deadline: May 11, 2026
  • Alleged Misconduct: Misrepresentations about its inventory management and the level of retail demand it experienced and/or reasonably expected
  • Largest Alleged Stock Decline: October 29, 2025 – 24.8% Stock Drop
  • Court: U.S. District Court for the District of Illinois
  • Action: Contact BFA Law to discuss your rights

Investors have until May 11, 2026, to ask the Court to be appointed to lead the case. The complaint asserts securities fraud claims under Sections 10(b) and 20(a) of the Securities Exchange Act of 1934 on behalf of investors in Camping World securities. The case is pending in the U.S. District Court for the District of Illinois. It is captioned Siverd v. Camping World Holdings, Inc., et al., No. 1:26-cv-02710.

Why is Camping World Being Sued For Securities Fraud?

Camping World sells recreational vehicles, or RVs, and related products and services in the United States. During the relevant period, Camping World stated it was “confident” in its ability to deliver growth “in excess of low-double digits in used units and low single digits in new units” and “vehicle gross margins within our historical range.”

Camping World also stated it was “laser focused” on balancing inventory supply and demand, and demand required “record levels of used inventory.” What’s more, Camping World stated it was able to “surgically manage [] inventory” including using data analytics to “put the right inventory on the ground at the right time and the right price.”

As alleged, in truth, Camping World was not “surgically manag[ing] [its] inventory” to optimize profit and the company overstated the level of demand it experienced and/or reasonably expected.

Why did Camping World’s Stock Drop?

On October 28, 2025, Camping World released its Q3 2025 financial results, reporting that new vehicle revenue was $766.8 million for the quarter, “a decrease of $58.1 million, or 7.0%,” “average selling price of new vehicles sold decreased 8.6%,” and new vehicle gross margin decreased “81 basis points, driven primarily by the 8.6% decrease in the average selling price per new vehicle sold.”

This news caused the price of Camping World stock to drop $4.17 per share, or 24.8%, from a closing price of $16.82 per share on October 28, 2025, to $12.65 per share on October 29, 2025.

Then, February 24, 2026, Camping World released its Q4 2025 financial results, reporting that it had “implemented strict, corrective inventory management objectives to structurally improve [its] turnover rates” and that “effectively immediately,” it would be pausing its quarterly cash dividend.

This news caused the price of Camping World stock to drop $1.79 per share, or 16.5%, from a closing price of $10.85 per share on February 24, 2026, to $9.06 per share on February 25, 2026.

Click here for more information: https://www.bfalaw.com/cases/camping-world-class-action-lawsuit.

What Can You Do?

If you invested in Camping World, you may have legal options and are encouraged to submit your information to the firm.

All representation is on a contingency fee basis; there is no cost to you. Shareholders are not responsible for any court costs or expenses of litigation. The firm will seek court approval for any potential fees and expenses.

Submit your information by visiting:

https://www.bfalaw.com/cases/camping-world-class-action-lawsuit

Or contact:

Adam McCall

[email protected]
212.789.3619

Why Bleichmar Fonti & Auld LLP?

BFA is a leading international law firm representing plaintiffs in securities class actions and shareholder litigation. It has been named a top plaintiff law firm by Chambers USA, The Legal 500, and ISS SCAS, and its attorneys have been named “Elite Trial Lawyers” by the National Law Journal, “Litigation Stars” by Benchmark Litigation, among the top “500 Leading Plaintiff Financial Lawyers” by Lawdragon, “Titans of the Plaintiffs’ Bar” by Law360 and “SuperLawyers” by Thomson Reuters. Among its recent notable successes, BFA recovered over $900 million in value from Tesla, Inc.’s Board of Directors, as well as $420 million from Teva Pharmaceutical Ind. Ltd.

For more information about BFA and its attorneys, please visit https://www.bfalaw.com.

https://www.bfalaw.com/cases/camping-world-class-action-lawsuit

Attorney advertising. Past results do not guarantee future outcomes.

Contacts

Adam McCall

[email protected]
212.789.3619

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DNA Script Expands Global Access to On-demand DNA Synthesis With Distributor Agreements in Latin America and East Asia https://aijourn.com/dna-script-expands-global-access-to-on-demand-dna-synthesis-with-distributor-agreements-in-latin-america-and-east-asia/ Tue, 17 Mar 2026 14:45:56 +0000 https://aijourn.com/dna-script-expands-global-access-to-on-demand-dna-synthesis-with-distributor-agreements-in-latin-america-and-east-asia/
  • Enables researchers worldwide to access high-quality ssDNA oligonucleotides within hours
  • Establishes direct distribution networks across Latin America, Japan and South Korea

PARIS–(BUSINESS WIRE)–DNA Script, a pioneer in DNA synthesis providing scientists with rapid, on-demand access to high-quality DNA, today announced it has signed distribution agreements with Gencell, Bio-Medical Science Co. (BMS), and Biostream, expanding global access to the Company’s SYNTAX™ platform for decentralized, in-house and on-demand oligonucleotide production. Under the agreements, Gencell will distribute SYNTAX across Latin America, Bio-Medical Science will cover South Korea, and Biostream will support customers in Japan.


This expansion supports DNA Script’s strategy to broaden global adoption of SYNTAX and enable researchers located far from major oligonucleotide production hubs in Europe and the United States to access DNA more quickly and reliably. Each distributor is an established life and health sciences company with strong regional networks, enabling local access to DNA synthesis capabilities without reliance on overseas manufacturing.

Oligonucleotides are a critical input for a wide range of applications, but researchers located far from large-scale synthesis centers face project delays due to long delivery times or logistical constraints. DNA Script’s automated, benchtop SYNTAX platform addresses these challenges by enabling researchers to synthesize ssDNA oligonucleotides directly within the lab in only few hours, shifting the model from centralized supply chains to local DNA production and ensuring geography does not determine scientific speed.

Marc Montserrat, Chief Executive Officer, DNA Script, commented: “We’re excited to enter these new partnerships as part of our strategy to scale global accessibility and availability of ssDNA oligos, making them available to researchers anywhere in the world. These distributor agreements expand global access to the platform, support the Company’s continued growth, and enable researchers to access oligonucleotides more quickly and reliably, regardless of location.”

Fabio Andrés Zapata, CEO of Gencell, said: “This alliance represents a fundamental step toward accelerating innovation in Latin America. By bringing technologies like SYNTAX closer to researchers in the region, we help reduce development times and drive local biomanufacturing. We are proud to strengthen the region’s scientific and technological capabilities, positioning Latin America as an increasingly competitive player in global science and biotechnology.”

Dukhyun Lim, Vice President of Bio-Medical Science, BMS, commented: “SYNTAX offers researchers greater control and speed in oligonucleotide production, enabling increased independence and control over project workflows, and we are pleased to support its availability in South Korea.”

Iwabuchi Takeshi, President of BioStream Co., added: “This partnership strengthens our ability to deliver advanced life sciences technologies throughout Japan, helping customers reduce dependence on overseas synthesis and long delivery timelines.”

Contacts

Media Contact
Dr. Ben Rutter

Email: [email protected]

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Aprimo Unveils Agentic Digital Asset Management (DAM) System to Govern Content for the AI-Driven Enterprise https://aijourn.com/aprimo-unveils-agentic-digital-asset-management-dam-system-to-govern-content-for-the-ai-driven-enterprise/ Tue, 17 Mar 2026 14:45:45 +0000 https://aijourn.com/aprimo-unveils-agentic-digital-asset-management-dam-system-to-govern-content-for-the-ai-driven-enterprise/

New innovation transforms digital asset management from a passive system of record into an AI-powered system of action




CHICAGO–(BUSINESS WIRE)–Aprimo, a global leader in digital asset management and content operations solutions, today announced the launch of Aprimo’s Agentic DAM, the next evolution of digital asset management designed for an enterprise where AI agents increasingly discover, interpret, and act on content.

Building on last year’s launch of AI Agents for content operations, Aprimo’s Agentic DAM redefines the role of DAM by enabling AI agents to become first-class content consumers. These agents create, review, govern, and personalize content at scale, while maintaining human oversight and continuous compliance.

“The way customers discover and buy has fundamentally changed,” said Kevin Souers, Chief Product and Technology Officer at Aprimo. “Content is no longer consumed only by humans. AI agents are evaluating and activating content before a person ever sees it. Agentic DAM ensures organizations can govern, personalize, and scale content operations in this new reality.”

The rise of AI-assisted buying behaviors and agentic commerce is accelerating rapidly. According to Accenture1, 72% of consumers regularly use AI tools during purchase decisions. McKinsey2 estimates that agentic commerce could drive between $3 to $5 trillion in global retail revenue. Gartner3 predicts nearly 40% of enterprise applications will embed AI agents by 2026.

As buying journeys become AI-driven, Aprimo’s Agentic DAM evolves into a governed execution engine for content operations.

From AI Assistance to Agentic Execution

While many vendors promote “AI-powered DAM,” most offer isolated task-based features such as auto-tagging or generative prompts. Agentic DAM introduces a fundamentally different operating model.

Instead of human-triggered, localized AI tasks, Aprimo’s agents operate persistently across the entire content operations process, from planning, creation, and enrichment to review, transformation, and distribution. Governance is applied continuously, not only at ingestion but at runtime across upstream creative tools and downstream marketing systems.

Core capabilities include:

  • Persistent AI agents that operate continuously across the content and martech ecosystem
  • Orchestrated agent workflows customized to brand, regulatory, and business rules
  • Human-in-the-loop governance with full auditability and traceability
  • Runtime compliance enforcement across creative tools, CMS platforms, and marketing automation systems

Aprimo organizes its Agentic DAM into specialized AI agent categories, including Planning Agents, Librarian Agents, Critic Agents, Compliance Agents, and Production Agents. Together, these agents automate repeatable tasks, enrich metadata, validate claims, generate variants, and personalize content dynamically. In the Agentic DAM, agents operate autonomously while remaining under defined human guardrails and monitoring.

Operationalizing AI Across the Content Ecosystem

Aprimo’s Agentic DAM not only governs content within the DAM repository but extends intelligence across the broader marketing and creative stack. Agents can operate upstream in creative tools to review work in progress and downstream in CMS and campaign systems to validate assets at the point of deployment.

Aprimo already supports external AI agents analyzing content outside the DAM and returning results into governed workflows. The company’s roadmap includes enabling Aprimo agents to operate directly within other parts of the creative and marketing technology ecosystem while maintaining centralized governance.

Delivering Measurable Business Outcomes

Aprimo’s Agentic DAM is designed to drive tangible business impact, including:

  • Faster campaign launches through automated enrichment, review, and variant creation
  • Increased ROI via improved asset discoverability and performance tracking
  • Reduced brand and regulatory risk through embedded, continuous governance
  • Higher productivity as repetitive content tasks are automated
  • Stronger personalization at scale without exponential headcount growth

Aprimo customers are already seeing results across industries. One global pharmaceutical organization operating in 120 countries used Aprimo’s agents to automate metadata classification and validate FDA-regulated claims and safety information. The shift from manual review cycles to embedded, agent-driven governance accelerated approvals, reduced compliance risk and saved costs for the team.

“Agentic DAM is not about replacing humans. It is about augmenting teams with persistent, orchestrated AI that scales execution while strengthening governance,” added Kevin Souers. “Organizations that continue to manage content as static files will struggle to compete. Agentic DAM prepares enterprises for the agent-driven future.”

Aprimo’s Agentic DAM is available immediately.

To learn more or request a personalized demonstration, visit www.aprimo.com.

About Aprimo

Aprimo’s agentic content operations platform enables organizations to govern, automate, and scale content in an AI-powered enterprise. Recognized as a leading vendor for innovation in agentic Digital Asset Management, Aprimo delivers a future-proof approach to content strategy, asset management, collaboration, personalization, and delivery.

References

1 Me, my brand and AI: The new world of consumer engagement

2 The agentic commerce opportunity: How AI agents are ushering in a new era for consumers and merchants

3 Gartner Predicts 40% of Enterprise Apps Will Feature Task-Specific AI Agents by 2026, Up from Less Than 5% in 2025

Contacts

Media Contact:

Max Mabe

[email protected]

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Langsmart Publishes Industry’s First p95 Semantic Cache Benchmarks for On-Premises AI Gateway, Challenges Market: “Show Me the p95” https://aijourn.com/langsmart-publishes-industrys-first-p95-semantic-cache-benchmarks-for-on-premises-ai-gateway-challenges-market-show-me-the-p95/ Tue, 17 Mar 2026 14:45:33 +0000 https://aijourn.com/langsmart-publishes-industrys-first-p95-semantic-cache-benchmarks-for-on-premises-ai-gateway-challenges-market-show-me-the-p95/

Testing Confirms 10.2x Faster Response Times, Exceeding Cloud-Hosted Alternatives

SAN JOSE, Calif.–(BUSINESS WIRE)–NVIDIA GTC 2026 Langsmart, the enterprise AI governance company, today announced the successful completion of a rigorous enterprise evaluation with a Fortune 200 financial institution. The testing confirms that Langsmart’s Smartflow platform delivers a 10.2x speedup in response times, achieving sub-300ms latency on standard, low-resource hardware.




As enterprise adoption of AI gateways accelerates – with analysts projecting 70% of engineering teams will use them by 2028 – the industry has struggled with a lack of standardized performance data. Langsmart’s latest results provide a transparent blueprint for organizations requiring high-performance AI governance within strict on-premises and air-gapped environments.

Enterprise Evaluation: Performance Under Pressure

The evaluation focused on real-world financial services workloads, prioritizing reliability and speed within a secure infrastructure. Unlike cloud-based gateways that require data to leave the perimeter, Smartflow was deployed as a Docker container on a modest 4vCPU, 8GB server.

Key performance milestones included:

  • 10.2x Response Speedup – Cached responses were reduced from 2.2 seconds to just 220 milliseconds.
  • Sub-300ms p95 Latency – The system maintained a 285ms p95 latency on semantic cache hits, comfortably meeting the sub-500ms Service Level Objectives (SLOs) required by global financial institutions.
  • High-Accuracy Cache Hits – Achieved a 40–50% hit rate at a 0.95 similarity threshold, with 100% of tested workloads showing measurable improvement.
  • Rigorous Reliability – Smartflow passed 24 out of 24 automated health, latency, and threshold checks.

“For banking, insurance, and healthcare, routing prompts and model responses through a third-party cloud is a liability,” said Craig Alberino, Founder and CEO of Langsmart. “Smartflow eliminates that risk by deploying entirely within the client’s network, delivering performance that actually exceeds cloud-hosted alternatives.”

Raising the Industry Standard: “Show Me the p95”

While the evaluation highlights Smartflow’s technical achievements, it also exposes a critical transparency gap in the AI gateway market. Langsmart’s research found that while many vendors promise efficiency, none currently publish p95 or p99 latency data – the metrics most critical for production-grade enterprise stability.

“Enterprise buyers deserve to see real numbers on real hardware, not marketing claims,” said Alberino. “We are calling on all AI gateway vendors to follow our lead and publish standardized benchmarks. If you’re providing enterprise infrastructure, show me the p95.”

Langsmart’s push for transparency aims to provide CISOs and CTOs with the empirical data needed to evaluate AI governance tools effectively, ensuring that security does not come at the cost of performance.

For the full benchmarking methodology and results, visit langsmart.ai/blog/show-me-the-p95.

About Langsmart

Langsmart is the enterprise AI governance company building Smartflow – the on-premises AI firewall, gateway, and governance control plane for regulated industries. Smartflow enables financial services, healthcare, and insurance organizations to govern AI model traffic at the network layer without data leaving their infrastructure. Langsmart is headquartered in the New York City metro area with teams in Connecticut and Austin, TX.

Contacts

Media Contact
Craig Alberino, Founder & CEO

Langsmart

[email protected]
www.langsmart.ai

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Philadelphia Phillies Name UKG as Official HR, Payroll, and Workforce Management Technology Partner https://aijourn.com/philadelphia-phillies-name-ukg-as-official-hr-payroll-and-workforce-management-technology-partner/ Tue, 17 Mar 2026 14:45:22 +0000 https://aijourn.com/philadelphia-phillies-name-ukg-as-official-hr-payroll-and-workforce-management-technology-partner/

Enhanced partnership leverages UKG AI technology to support club business operations and the management of 2,000+ employees, powering excellence on and off the field

LOWELL, Mass.–(BUSINESS WIRE)–The Philadelphia Phillies announced today that UKG, a leading global AI platform unifying HR, pay, and workforce management, has been named the club’s Official HR, Payroll, and Workforce Management Technology Partner. This newly enhanced, three-year partnership between the reigning NL East champs and UKG marks the first collaboration of its kind in the major leagues.


Through this synergy, the Phillies will leverage the UKG Workforce Operating Platform, utilizing AI-powered technology to streamline workforce operations. This integrated solution will improve scheduling and payroll efficiency, provide greater insight into employee engagement and support strategic business decisions – benefitting staff, players and the overall fan experience.

“As we prepare for the 2026 season, the Midsummer Classic and beyond, we are placing an even greater emphasis on delivering an unprecedented fan experience at Citizens Bank Park, an effort only made possible by a unified and dynamic workforce,” said Jon Madden, Vice President of Human Resources at Philadelphia Phillies. “Our enhanced partnership with UKG represents a major step forward, as their powerful platform provides a centralized workforce hub for more than 2,000 of our employees. Thanks to their cutting-edge technology, our day-to-day operations and long-term business strategies will be strengthened across the organization, ensuring operational excellence, on and off the field.”

UKG will handle the Phillies’ complex gameday scheduling of its frontline workforce, including union rules, seasonal labor, and fluctuating staffing needs, making sure the right people are in the right roles at the right time.

“High-performing organizations are powered by insights and intelligence that help their people operate at the top of their game. The Philadelphia Phillies understand that workforce strategy is a critical driver of performance, efficiency and long-term value,” said Arlen Shenkman, President and Chief Financial Officer at UKG. “As the Workforce Operating Platform, UKG is proud to partner with a legendary franchise that applies the same focus on strong fundamentals and disciplined execution to managing its workforce as it does to winning on the field.”

This enhanced partnership will carry on to the game day experience, with UKG also being named the presenting partner of Phillies Mother’s Appreciation Day on Sunday, May 10, featuring a co-branded crew neck giveaway for women 15 and over. In addition, UKG, which is entering its second year as a Phillies partner, will have an increased presence at the ballpark, where they will be featured on various new signage, including the upper home plate and digital dugout LEDs, as well as the left field façade sign.

For more information on updates to the 2026 experience at Citizens Bank Park, follow @Phillies on social or visit phillies.com.

About UKG

UKG is a leading global AI platform for HR, pay, and workforce management. Unifying award-winning solutions with the world’s largest collection of workforce data and people-first AI, UKG delivers unrivaled insights into today’s workforce, helping organizations in every industry turn data into decisions that elevate productivity, culture, and the customer experience. Trusted by more than 80,000 organizations across 150 countries, tens of millions of employees — from small businesses to global enterprises — use UKG every day. To learn more, visit ukg.com.

Copyright 2026 UKG Inc. All rights reserved. For a full list of UKG trademarks, please visit ukg.com/trademarks. All other trademarks, if any, are property of their respective owners. All specifications are subject to change.

Contacts

UKG Contact:

[email protected]

Phillies contact:

Deb Rinaldi

[email protected]

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Top 7 Link Building Companies For SaaS And E-Commerce Brands https://aijourn.com/top-7-link-building-companies-for-saas-and-e-commerce-brands/ Tue, 17 Mar 2026 14:43:23 +0000 https://aijourn.com/?p=505306 SaaS and e-commerce brands invest heavily in product development, content, and marketing, yet many still struggle to rank in competitive search results. Often, the missing element is a strong backlink profile.  

Without authoritative links, even well-structured websites fail to gain search visibility, while competitors with stronger link networks capture valuable organic traffic. Meanwhile, the in-house development of quality backlinks demands constant outreach, relationships within the industry, and effective placement of the content.  

Thus, numerous brands turn to the assistance of expert agencies that specialize in the acquisition of high-quality links. Such companies integrate outreach skills, content, and analytics by finding relevant backlinks that enhance search authority.  

As a result, brands are able to build search authority even as they continue with their normal business activities. This article identifies seven agencies that assist SaaS and E-commerce brands in achieving rankings via professional link building services. 

1. OutreachCrayon

source 

When evaluating reliable providers, marketers tend to consider agencies that have outreach strategies and effective link acquisition tactics. One of these providers is OutreachCrayon, which has a well-organized outreach campaign and a stable method of link acquisition. 

In order to attain these outcomes, the agency concentrates on obtaining backlinks by performing manual outreach and placement of relevant content. OutreachCrayon focuses on collaborations with reputable publishers and niche websites as opposed to using automated link networks. Therefore, every backlink adds to the domain authority and search visibility. 

In addition, the company focuses on quality placements that match the industry and audience of the client. This makes sure that the backlinks offer SEO benefits as well as meaningful referral traffic.  

Consequently, SaaS and e-commerce brands obtain connections that facilitate long-term digital expansion and enhanced search results. This is why the OutreachCrayon is frequently listed among the top link building companies that are trusted by emerging digital brands. 

Notable Strengths 

  • Manual outreach focused on niche relevance 
  • Guest post placements on authoritative websites 
  • Transparent reporting and campaign tracking 
  • Strategies designed for SaaS and e-commerce growth 

2. LinkCrayon

LinkCrayon offers organized backlink plans that help in sustainable SEO development. The agency integrates outreach technology and relationship-based communication to obtain placements on reputable industry websites and online publications. 

Besides, LinkCrayon prioritizes relevance rather than high volume of links. The links are placed on websites that match the niche and audience of the client. As a result, such connections reinforce topical authority and lead to improved search ranking.  

Moreover, the agency analyzes campaign data on a continuous basis to optimize outreach campaigns. The future placements would be based on metrics like domain authority, referral traffic, and link relevance.  

Hence, SaaS and e-commerce businesses have the advantage of backlinks that facilitate long-term search exposure and credible industry presence. 

Core Capabilities 

  • Targeted outreach to niche publishers 
  • Emphasis on quality rather than link volume 
  • Data-driven monitoring of outreach campaigns 
  • Backlinks placed to improve topical authority 

3. outreachlinkbuilding.com

source 

outreachlinkbuilding.com provides tailored link building campaigns to businesses that are interested in achieving quantifiable results on SEO. The agency collaborates with SaaS services, online stores, and brands that need regular backlink building. 

In addition, the team performs competitor research and backlink analysis before initiating outreach campaigns. It is a process that determines which websites and publishers can be leveraged to generate the most ranking influence using new backlinks. Therefore, outreach activities target opportunities that are industry-relevant. 

Moreover, the agency adheres to ethical outreach practices and does not engage in risky link schemes that can impact SEO performance. Rather, connections are established by authentic partnerships with bloggers, publishers, and content platforms. As a result, clients have the benefit of the backlinks, which promote sustainable rankings as well as long-term search growth. 

Service Focus 

  • Detailed competitor and backlink research 
  • Guest post placements through direct outreach 
  • Ethical white-hat link building strategies 

4. Editorial.Link

Editorial.Link specializes in earning backlinks through editorial placements on high-authority publications and trusted digital media platforms. These links appear naturally within industry articles, expert insights, and research-based content. 

Furthermore, such placements strengthen both brand credibility and search visibility in competitive markets. Therefore, SaaS companies often use Edictorial.Link to build trust and industry authority. 

Strategic Advantages 

  • Editorial placements on respected and high-authority publications 
  • Strong relationships with industry editors and publishers 
  • Selective link acquisition based on authority and relevance 
  • Backlinks that enhance credibility and search visibility 

5. Siege Media

source 

Siege Media combines content marketing with strategic link acquisition campaigns designed to attract high-quality backlinks. Instead of relying only on outreach, the agency creates valuable content assets that naturally earn links. 

For example, research studies, visual resources, and comprehensive industry guides often gain attention from journalists, bloggers, and digital publications. Consequently, companies earn links through valuable resources rather than simple outreach requests. 

Approach Highlights 

  • Content-driven link building campaigns for long-term SEO 
  • Research reports and visual assets designed to attract backlinks 
  • Outreach to journalists, bloggers, and industry publications 
  • Long-term strategy for organic visibility and traffic growth 

6. TripleDart

TripleDart focuses on SEO strategies designed specifically for SaaS companies aiming to scale organic growth. Link building forms part of a broader SEO framework that supports traffic growth and user acquisition. 

First, the agency performs a comprehensive SEO audit to identify authority gaps and backlink opportunities. Then, outreach campaigns secure links that strengthen important pages such as product, feature, and resource pages. 

Growth Elements 

  • SEO strategies tailored specifically for SaaS platforms 
  • Backlinks directed toward important product and feature pages 
  • Technical SEO combined with structured outreach campaigns 
  • Campaigns aligned with measurable business growth metrics 

7. Skale

source 

Skale is an SEO agency dedicated to helping B2B SaaS companies achieve sustainable organic growth and stronger search visibility. In particular, its link building strategy focuses on strengthening pages that influence conversions and support long-term ranking improvements. 

Rather than directing links only to homepages, Skale targets feature pages, comparison pages, and educational resources. As a result, backlinks strengthen important decision-stage pages. Consequently, these links support both rankings and user acquisition across competitive search results. 

SEO Priorities 

  • Link building focused on conversion-driven pages and resources 
  • Data-driven SEO and outreach strategy for SaaS growth 
  • Competitor analysis to identify strong link opportunities 
  • Sustainable organic growth for B2B SaaS companies 

Bottomline 

Backlinks remain one of the most important factors influencing search engine rankings. However, earning authoritative links consistently requires outreach expertise, strong publisher relationships, and a clear strategy. Many SaaS and e-commerce companies, therefore, struggle to manage these efforts internally. 

As a result, specialized agencies provide valuable support through structured link building campaigns. Firms such as OutreachCrayon, LinkCrayon, Outreachlinkbuilding.com, Editorial.Link, Siege Media, TripleDart, and Skale offer focused strategies for acquiring relevant backlinks. 

By partnering with experienced agencies, businesses can strengthen domain authority, improve rankings, and attract qualified organic traffic while supporting long-term SEO growth. 

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