Clutch has released new research examining consumer attitudes toward artificial intelligence on social media, finding that widespread exposure to AI-generated content has not translated into universal acceptance. The research found that 53% of consumers are less likely to purchase from brands they know use AI in social media content, highlighting a potential trust challenge for marketers adopting generative AI.

The findings are based on a survey of 601 consumers conducted in August 2026, according to Clutch. While 86% of respondents said they had encountered AI-generated content on social media, the research suggests that familiarity with the technology does not necessarily remove concerns about authenticity, disclosure and data use.

Transparency emerged as one of the strongest themes. Nearly 90% of consumers said brands and creators should disclose AI-generated social media content. The finding points to a growing expectation that marketers distinguish between human-created and AI-generated material rather than allowing audiences to make assumptions about how content was produced.

The research also indicates that consumer sentiment varies according to the purpose of AI-generated content. While 42% of respondents view AI positively for educational content, 64% said they would trust a brand or creator less if products were misrepresented using AI-generated content. The contrast suggests that consumers may be more receptive to AI when it provides utility but less accepting when it affects perceived authenticity or product representation.

Influencer marketing presents another challenge. Clutch found that 71% of consumers would question a human influencer’s recommendation if AI was used to create their content, while 45% said they would not knowingly engage with or trust AI influencers.

Brands appear to retain an advantage over influencers for product recommendations, with nearly 40% of respondents saying they trust brands more compared with 14% who trust influencers more. However, that advantage may be vulnerable when consumers believe AI is being used without sufficient transparency.

Privacy represents a parallel concern. 51% of consumers said they are uncomfortable with AI analyzing their activity to personalize content, while 67% identified data collection as their biggest concern. For marketers, this creates a second layer of trust management beyond disclosure of AI-generated creative.

The results suggest that AI adoption in social media marketing is increasingly becoming a governance and customer-experience issue, not simply a content-production decision. Marketers may need to balance efficiency gains from generative AI with disclosure practices, human oversight and clear boundaries around personalization and data collection.

Market Landscape

Generative AI is becoming increasingly embedded in marketing workflows, from content creation and campaign development to personalization and customer engagement. Clutch’s findings indicate that consumer acceptance can depend heavily on how AI is used, particularly when authenticity, recommendations, product claims or personal data are involved.

Strategic Outlook

For brands, the opportunity is to use AI where it improves relevance or utility without weakening credibility. Clear disclosure, human review and responsible data practices could become increasingly important differentiators as consumers become more familiar with AI-generated marketing content.

Top Insights

• 86% of consumers have encountered AI-generated social content.
• 53% are less likely to buy from brands using AI in social content.
• Nearly 90% expect disclosure of AI-generated content.
• 51% are uncomfortable with AI analyzing activity for personalization.
• 71% would question influencer recommendations created with AI.

Get in touch with our MarTech Experts.

GoodFirms has published a 2026 analysis of the digital marketing agency landscape across the United States, India, the United Kingdom, Canada and Australia, highlighting how businesses are increasingly evaluating marketing partners on expertise, credibility and demonstrated performance rather than service breadth alone.

The analysis draws on GoodFirms’ database of more than 31,000 digital marketing agencies worldwide and applies a common evaluation framework across the five markets. The approach is intended to provide businesses with a more consistent basis for comparing agencies operating in different geographic and competitive environments.

GoodFirms evaluates agencies through its Leaders Matrix, which considers two primary dimensions. The Core Competencies assessment examines service specialization and depth of expertise, while the 360-Performance View incorporates broader indicators including client feedback, market presence, company information and verification data.

The methodology reflects a broader change in how businesses approach digital marketing agency selection. While capabilities such as search engine optimization, paid media, content marketing and broader digital strategy remain important, prospective clients are also looking for evidence that an agency can execute consistently and demonstrate credibility.

That shift has implications for agencies competing in increasingly crowded markets. Specialized expertise can help providers differentiate themselves, but client reviews, transparent business information and established market presence can also influence how buyers assess potential partners.

The geographic scope of the analysis is notable because the United States, India, the UK, Canada and Australia represent distinct agency ecosystems, with differences in market maturity, service specialization and competitive positioning. Applying the same framework across each market gives businesses a standardized way to examine agency capabilities, although individual buying decisions still require consideration of industry expertise, objectives, budget and required services.

GoodFirms also points businesses toward its research on SEO company pricing in 2026, which examines monthly retainers, hourly rates and project-based pricing. Pricing transparency is increasingly relevant as companies attempt to compare agencies not only on capabilities but also on the expected investment required for specific marketing programs.

For agencies, the analysis underscores the importance of maintaining verifiable company information and building a strong body of client feedback alongside developing specialist capabilities. For buyers, it reinforces the value of using multiple signals rather than relying exclusively on rankings or individual service claims.

Market Landscape

The digital marketing agency market spans thousands of providers with overlapping service portfolios. GoodFirms’ database of more than 31,000 agencies illustrates the scale of the global provider ecosystem. In such an environment, differentiation increasingly depends on demonstrable expertise, client experience, transparency and market credibility.

Strategic Outlook

Agency discovery is likely to become increasingly evidence-driven as businesses seek partners capable of delivering measurable marketing outcomes. Evaluation frameworks that combine specialization with reviews, verification and market presence can help buyers narrow large provider pools, although businesses should still validate relevant experience and expected outcomes directly.

Top Insights

• GoodFirms analyzed agencies across five major global markets.
• Its database contains more than 31,000 digital marketing agencies worldwide.
• The Leaders Matrix combines competency and broader performance indicators.
• Client feedback and verification are becoming important agency-selection signals.
• Pricing research can complement capability and credibility assessments.

Get in touch with our MarTech Experts.

Affiliated Advisors has launched an AI-driven organic growth initiative in partnership with FINNY, giving financial advisors in its network access to artificial intelligence-powered marketing technology and a peer community focused on improving marketing execution.

The initiative combines FINNY’s marketing platform with advisor collaboration, reflecting a broader shift in financial services toward technology-assisted customer acquisition and more scalable digital marketing workflows. Participating Affiliated Advisors representatives receive access to FINNY at a preferred rate, while a dedicated cohort provides a forum for advisors to exchange campaign practices, review results and discuss how AI can support ongoing growth efforts.

FINNY is designed to help financial advisors create and execute targeted marketing campaigns using artificial intelligence. The platform is positioned around improving the efficiency of reaching prospects, strengthening advisor brands and supporting business-development activity through more automated marketing processes.

For Affiliated Advisors, the partnership extends beyond providing access to software. The company has established recurring cohort sessions in which participating advisors can share experiences and learn from one another. FINNY leadership also participates in those sessions, creating a direct feedback and education channel between the platform provider and its users.

The model illustrates an increasingly important consideration for AI adoption in marketing: technology alone may not determine whether organizations realize value from automation. Training, peer learning and practical implementation can influence how effectively marketing teams and professionals integrate AI into existing workflows.

Affiliated Advisors said participating advisors have reported early signs of traction since the initiative began, including increased appointment activity and stronger brand recognition in their local markets. These outcomes are company-reported and are not accompanied in the announcement by independently verified performance data.

Advisors participating in the program pay a monthly subscription fee for FINNY, with affiliated representatives receiving a discounted rate. The commercial structure gives advisors a defined entry point into AI-assisted marketing while allowing Affiliated Advisors to support adoption through its community-based approach.

Market Landscape

Financial advisors increasingly operate in an environment where digital visibility, personalized communications and consistent prospect engagement are important components of organic growth. AI-powered marketing platforms are consequently moving beyond content generation toward campaign execution, audience targeting and workflow automation.

The competitive opportunity for providers such as FINNY is to demonstrate measurable business outcomes while maintaining appropriate human oversight. For financial services organizations, that equation also includes considerations around brand consistency, customer trust and regulatory requirements.

Strategic Outlook

The Affiliated Advisors-FINNY initiative suggests that AI marketing adoption may increasingly combine software with structured enablement programs. Peer cohorts can help users move from experimentation toward repeatable processes, while direct vendor involvement can accelerate learning and platform feedback.

For FINNY, the partnership provides a channel into a defined professional network. For Affiliated Advisors, it offers a technology-enabled approach to supporting advisor-level organic growth without relying solely on centralized marketing resources.

Top Insights

• Affiliated Advisors is pairing AI marketing technology with peer-based advisor education.
• FINNY provides AI-assisted campaign execution for financial advisors.
• Participating advisors receive access at a preferred subscription rate.
• Early performance claims include increased appointment activity and stronger local brand recognition.
• The initiative highlights the growing role of human enablement alongside marketing automation.

Get in touch with our MarTech Experts.

AI Mini Stores is outlining a managed e-commerce model that combines AI-driven automation with human oversight across product research, content creation, customer support, advertising and operational workflows.

The company, led by founder Elle Liana, says its approach is designed to automate predictable and repetitive tasks while leaving strategic decisions and accountability with human teams. The model reflects a broader shift in marketing technology toward AI systems that execute parts of a workflow rather than simply generating individual pieces of content.

Under the model, AI agents can support product research by organizing market information, analyzing competitor signals and identifying recurring customer concerns. Human teams then validate potential opportunities before products are tested in the market.

Market Landscape

AI adoption in e-commerce is increasingly extending beyond content generation. Retailers and online merchants are using automation across customer communications, advertising, analytics, inventory and fraud monitoring, creating opportunities to connect previously separate marketing and operational workflows.

AI Mini Stores describes a hybrid customer-support model in which routine questions involving shipping, order status, returns and store policies can be handled by automated assistants, while complex or sensitive cases are escalated to human representatives.

Marketing workflows similarly combine automation with human review. The company says its system can generate advertising variations, email concepts, social-media ideas and product recommendations, while automated campaigns can respond to customer behaviors such as abandoned carts and post-purchase activity.

The model also incorporates AI-assisted analytics and forecasting. Systems can summarize performance data, identify unusual metric changes and flag potentially suspicious transactions for further investigation. Inventory tools can monitor stock and connect purchasing activity with fulfillment and replenishment processes.

Strategic Outlook

The company's approach highlights an important distinction in enterprise AI adoption: automation does not necessarily mean removing people from the workflow. Instead, AI can take responsibility for repetitive execution while humans retain authority over decisions involving brand positioning, business direction, major investments and unexpected market changes.

That distinction is particularly relevant for marketing teams. Generative AI can accelerate content production and campaign development, but automated execution introduces risks around inaccurate claims, inappropriate messaging and poor contextual decisions. Human review therefore remains important where brand, customer or financial consequences are significant.

AI Mini Stores also reported historical client performance figures. Across all clients, the company reported an average result of $6,084.50. For clients who tested 10 products, met its stated minimum spending requirement and launched their businesses, it reported an average result of $24,473.29.

The company also reported an average of 2.2 stores per client. Applying that store count to the latter figure produces an approximate $53,841.23 calculation, although this is a mathematical extrapolation rather than an independently reported performance metric.

AI Mini Stores emphasized that the figures represent historical averages rather than guarantees, with outcomes potentially affected by product selection, advertising performance, spending, market conditions and execution.

Top Insights

• AI is moving deeper into e-commerce workflows: Automation now spans research, content, marketing, support and operations.
• Human oversight remains central: Strategic decisions and complex customer situations are kept with people.
• Marketing automation is behavior-driven: Abandoned-cart and post-purchase communications can be automated around customer actions.
• AI analytics supports investigation: Automated systems can surface unusual patterns without replacing human judgment.
• Performance claims require context: Historical averages do not guarantee future e-commerce results.

Get in touch with our MarTech Experts.

Dyna.Ai and Saudi technology integrator Gulf Applications Co. (GAPP) have partnered to explore the deployment of agentic AI across enterprise environments in Saudi Arabia, combining Dyna.Ai's AI platform with GAPP's local technology-integration capabilities.

Announced during LEAP 2026 in Riyadh, the partnership will focus on introducing Dyna.Ai's enterprise agentic platform to organizations across the Kingdom. The offering includes voice- and text-based AI agents and AI Employee solutions designed to support operational workflows and customer-facing services.

The collaboration comes as Saudi Arabia continues to accelerate its digital-transformation agenda under Vision 2030. It also coincides with the country's designation of 2026 as the Year of Artificial Intelligence, an initiative led by the Saudi Data and Artificial Intelligence Authority (SDAIA).

Market Landscape

Enterprise adoption of generative and agentic AI is increasingly moving beyond experimentation toward integration with existing business processes. Rather than deploying AI as a standalone conversational interface, organizations are evaluating how autonomous or semi-autonomous agents can participate in workflows that previously required employees to move between systems.

That shift creates a different set of requirements for technology providers. AI platforms need to connect with enterprise infrastructure, while implementation partners must understand local business requirements, technology environments and data-governance considerations.

The Dyna.Ai-GAPP partnership reflects that implementation challenge. GAPP brings local integration expertise, while Dyna.Ai provides an enterprise-focused agentic AI platform. The companies said potential use cases could include internal workflows and client-facing service delivery.

For marketing organizations, this development is relevant because agentic AI can potentially extend beyond content generation into customer interactions, service operations and repetitive workflow management.

Strategic Outlook

The partnership illustrates how regional technology ecosystems could influence the next phase of enterprise AI adoption in the Middle East. Global AI providers can supply underlying platforms, but local implementation capabilities can become critical when organizations need to integrate those systems with existing enterprise environments.

For marketers, the opportunity extends beyond automating individual tasks. AI agents could eventually participate across connected processes involving customer inquiries, service delivery and internal coordination. However, successful deployment depends on clearly defined use cases, system integration, governance and measurable business outcomes.

Dyna.Ai and GAPP have not announced specific customer deployments through the partnership. Instead, the companies said they will explore opportunities based on individual organizational requirements.

That distinction is important as enterprises increasingly evaluate AI investments based on practical workflow improvements rather than technology adoption alone.

Top Insights

• Agentic AI is moving toward workflow integration: Enterprises are evaluating agents as participants in business processes rather than standalone tools.
• Local integration expertise matters: Regional partners can help global AI platforms navigate enterprise technology environments.
• Marketing is part of the opportunity: Customer-facing AI agents can connect marketing, service and operational workflows.
• Governance remains central: Enterprise deployments must account for applicable data-governance requirements.
• Saudi Arabia is accelerating AI adoption: The partnership aligns with the country's broader Vision 2030 digital-economy objectives.

Get in touch with our MarTech Experts.

Beyond Just Service is expanding its role in customer acquisition by bringing digital marketing and sales support into a connected service model. The company has introduced sales support capabilities covering lead research and qualification, CRM and pipeline management, and proposal and quote assistance alongside its existing PPC, SEO, content and design services.

The move reflects a broader challenge for businesses managing increasingly fragmented customer-acquisition workflows: generating leads is only the beginning. Once a prospect enters the pipeline, organizations must determine whether the opportunity is relevant, maintain accurate customer information, manage follow-up and support the prospect through later stages of the buying process.

By combining these activities under one provider, Beyond Just Service is positioning marketing and sales support as a continuous workflow rather than separate outsourced functions.

Market Landscape

Digital marketing platforms have made it easier for businesses to attract potential customers through paid search, organic search and content. However, the handoff between marketing-generated leads and sales operations can remain fragmented, particularly for companies using separate agencies, sales-support providers and CRM teams.

Beyond Just Service's expanded offering addresses that gap by extending its involvement beyond lead generation. Its sales support begins with lead research and qualification, giving internal sales teams information they can use to assess prospects against predefined customer and sales criteria.

The next stage focuses on CRM and pipeline management. Maintaining records, updating opportunity stages and organizing prospect information can become operationally demanding as lead volumes increase. Centralizing these activities can help sales teams spend more time on prospect conversations rather than pipeline administration.

The company also supports proposal and quote activity, extending the workflow further toward the purchasing decision.

Strategic Outlook

The integration of marketing and sales operations is increasingly relevant as businesses seek greater accountability across the customer acquisition funnel. A PPC campaign or SEO strategy can generate visibility, but its commercial value ultimately depends on what happens after a prospect responds.

Beyond Just Service's model creates a sequence spanning attract, research, qualify, manage and progress. From a marketing-technology perspective, the approach puts greater emphasis on the connection between acquisition activity and CRM-based pipeline management.

For organizations using multiple external providers, a single partner can also reduce the number of handoffs between marketing and sales-support functions. However, the effectiveness of such a model will depend on process alignment, lead-quality criteria, CRM discipline and clear ownership of sales outcomes.

The company's broader portfolio includes contact center and back-office support, extending its outsourcing proposition beyond marketing and sales into customer communication and business operations.

Top Insights

• Lead generation is only the first stage: Businesses need processes for qualification, follow-up and progression.
• CRM management connects marketing with sales: Accurate pipeline information can provide continuity after lead acquisition.
• Qualification can improve sales focus: Research and predefined criteria help teams prioritize relevant prospects.
• Proposal support extends the customer journey: Sales assistance can continue beyond initial opportunity management.
• Consolidation may reduce operational handoffs: One provider can coordinate multiple supporting activities across the acquisition process.

Get in touch with our MarTech Experts.

Credit unions are facing a more demanding deposit-acquisition environment as checking incentives become more expensive and competition for household balances intensifies. A new guide from evok Credit Union Marketing argues that financial institutions should shift deposit marketing away from account-opening volume toward funded accounts, direct-deposit activation and long-term balance retention.

The guide, Credit Union Deposit Growth Marketing: Campaign Strategies That Attract Core Deposits and Lower Cost of Funds, targets marketers who support lending capacity through stronger deposit acquisition.

According to figures cited by evok, 43% of financial institutions offered cash incentives on new checking accounts in 2025, with the average incentive reaching $277. The agency argues that acquisition campaigns measured primarily by applications can obscure whether newly opened accounts actually contribute meaningful deposits.

That distinction is becoming more important as credit unions compete with larger institutions and digital-first financial providers for consumer balances.

Market Landscape

The guide arrives amid continued pressure on credit unions to attract and retain funding. Evok cites an aggregate loan-to-share ratio of 81.5% in the first quarter of 2026 and says the number of federally insured credit unions declined to 4,250 from 4,411 a year earlier.

For marketers, those dynamics increase the importance of connecting acquisition activity with balance-sheet outcomes. An account that receives payroll deposits can have significantly different economic value from one opened solely to obtain an incentive.

Evok cites research indicating that accounts receiving payroll deposits maintain balances 23% higher and remain open roughly twice as long. The agency also estimates direct-deposit penetration among newly acquired accounts at 55%.

These figures reinforce a broader shift in financial-services marketing toward lifecycle measurement rather than campaign-level acquisition metrics.

Strategic Outlook

Evok's framework organizes deposit marketing around six priorities: rate-led versus relationship-led acquisition, primary checking acquisition, direct-deposit capture, certificate and money-market offer design, deposit retention and cost-of-funds measurement.

The emphasis on direct-deposit activation is particularly significant. Instead of treating onboarding as a generic communications sequence, the guide recommends designing the first 30 days around moving the consumer's paycheck into the new account.

For marketing teams, that approach changes both creative strategy and measurement. Campaign performance can extend beyond applications and funded accounts to include direct-deposit activation, balance retention, cannibalization and marginal cost of funds.

The strategy also reflects the growing need for marketing and finance teams to share performance metrics. Six- and 12-month balance retention, for example, can provide a more meaningful assessment of acquisition quality than initial account volume.

Top Insights

• Account volume is not the same as deposit growth: Acquisition campaigns need to measure funded activity and retained balances.
• Direct deposit can strengthen account economics: Payroll-linked accounts are cited as having higher balances and longer retention.
• Incentives require closer scrutiny: A $277 average checking incentive increases the importance of measuring customer lifetime value.
• Retention belongs in acquisition strategy: Early behavioral signals can help marketers identify balances at risk of leaving.
• Marketing metrics are becoming balance-sheet metrics: Cost of funds and retention can complement conventional campaign KPIs.

Get in touch with our MarTech Experts.

Consumers may not be replacing Google with generative AI as quickly as some industry narratives suggest. A new field study from CraigAds indicates that, at least for local purchasing decisions in Carroll County, Georgia, consumers are using AI and traditional search for different stages of the decision-making journey.

CraigAds surveyed 62 West Georgia residents face-to-face in July 2026. The study collected 5,828 local-search answers across 94 real purchasing decisions. According to the company, the findings suggest that AI is increasingly being used to understand and evaluate a need, while Google remains important for verifying businesses, locating nearby providers and initiating contact.

The distinction could have implications for marketers adapting to the changing search landscape. Rather than treating AI search and traditional search as competing channels, local businesses may need visibility across both discovery environments.

Market Landscape

The CraigAds study found that search behavior varies significantly according to the complexity and urgency of a purchase. Beauty-related decisions produced the highest AI-search usage in the study at 24.2%. CraigAds attributes this to consumers needing to compare products, styles and providers—activities that lend themselves to conversational AI.

Plumbing emergencies showed a sharply different pattern. AI searches accounted for only 6.5% of searches in that category, while consumers were more likely to turn to Google Maps to locate immediate assistance.

Roofing searches similarly demonstrated the continuing importance of conventional search. CraigAds reported that Google captured 58.1% of leads for the scenario "your roof is leaking," rising to 74.9% for searches for a "roofing company."

The findings also point to a potential gap between businesses and consumers in AI adoption. CraigAds said local business owners are increasingly using AI for activities such as inventory management, scheduling, email and marketing, while consumer usage remains more limited in everyday purchasing behavior.

Strategic Outlook

The study's most important implication for marketers is that AI visibility does not necessarily replace local SEO. Businesses may need to optimize for conversational discovery while maintaining strong visibility in Google Search and Google Maps.

For marketers, this creates a more fragmented customer journey. AI can influence consideration and comparison, while traditional search can remain the final bridge to a local provider. This makes accurate business information, location signals, reviews, relevant content and clear conversion paths increasingly important.

CraigAds reported that 85.5% of surveyed Carroll County residents had used AI to learn more about local services, while 59.7% said they use AI daily or weekly. However, the company cautioned that its 62-person sample is small and that additional research is needed.

The findings therefore should be viewed as an early local-market signal rather than evidence of a nationwide behavioral shift.

Top Insights

• AI and Google can serve different stages of the same buying journey.
• More complex purchasing decisions showed greater AI usage in the study.
• Urgent local needs continued to favor Google Maps.
• Local SEO remains relevant even as AI-driven discovery expands.
• Small-business AI adoption may be moving faster than consumer adoption.

Get in touch with our MarTech Experts.