AI Artificial Intelligence

Google Search Generative Experience (SGE) Begins Testing #AIgenerated

June 5, 2023 by basilpuglisi@aol.com Leave a Comment

Google has started testing its Search Generative Experience (SGE), a feature that integrates AI-generated summaries at the top of results pages. The limited test, running for U.S. users who opt in, combines traditional search listings with concise, conversational overviews.

Google SGE, AI search, search generative experience, Google AI

For SEO professionals, the key challenge is visibility. If AI-generated answers satisfy user queries, click-through rates may drop for traditional organic results. Optimizing for inclusion in these AI overviews will likely require clear, concise, and authoritative content.

While SGE is still in its early stages, it signals Google’s commitment to an AI-assisted search future.

Precision at Scale: AI Levels Up Creative, Email, and SEO

May 29, 2023 by basilpuglisi@aol.com Leave a Comment

AI has moved from “interesting assist” to a quiet operator embedded in everyday marketing work. GPT-4’s larger context window lets teams keep strategy, research, and long-form assets in one thread so the narrative actually holds together. Adobe’s Firefly introduces brand-safe generative imagery to comping and production, trimming cycles without creating IP risk. LinkedIn’s AI-assisted job descriptions tighten employer-brand language in the same ecosystem where prospects evaluate you. And Midjourney’s latest photorealism makes the jump from concept to carousel feel like one step, not seven.

For B2B teams, the practical win is orchestration. Long briefs, customer insights, competitive notes, and brand standards can live in a single GPT-4 conversation and come back as a coherent proposal or thought-leadership draft. SEO leads pair that with AI-assisted content gap analysis to map intent clusters and prioritize coverage that actually compounds authority. Design moves in parallel: diagrams and supportive visuals are generated inside brand-safe creative tools, so product marketing, sales enablement, and content ops finally run in lockstep.

All of this matters because the stack buys you speed and consistency. Put GPT-4 to work turning research and briefs into coherent long-form; use Firefly or Midjourney to collapse concept-to-creative; and let open-time personalization keep the feed and the inbox telling the same story. Track cycle time per asset, the share of on-brand outputs, non-brand organic movement on your priority clusters, carousel engagement, and email CTR—then double down on what clearly compounds.

For B2C brands, the lift is visual speed. Midjourney’s tighter prompt-following accelerates concepting for ads and social, while Firefly’s rights-clear generation and edit tools keep creative on-brand and legally clean. Carousels that used to require hours of back-and-forth can be spun up in minutes by pairing AI ideation and copy with template-driven design workflows. The story extends into email with dynamic image personalization at open time—product angles, offers, and visuals adapt per recipient based on live data—so the feed and the inbox stay in a single, consistent narrative.

Underneath the workflow changes is adoption at scale. GPT-4 rolled into production use across industries within weeks of launch. Firefly’s early beta saw massive asset creation, a signal that creative teams were ready for brand-safe generation. Platform-native AI—from conversational search experiences to AI-drafted job posts—keeps arriving where marketers already work, which is why adoption keeps climbing: less onboarding friction, more immediate value. The through-line: AI is moving closer to the work—inside the writing, the comping, and the posting—so your time can move back to positioning, creative direction, and channel strategy.

Best Practice Spotlight

Nike-Style Integrated AI Campaigns: GPT-4 Narrative + Brand-Safe Visuals + Real-Time Personalization

A global sports brand can combine GPT-4 for multilingual, context-rich storytelling with Adobe Firefly for on-brief, brand-safe visuals, then personalize everything at open-time through a platform like Movable Ink. Copy and creative iterate quickly, stay on-brand, and adapt to each recipient’s context the moment they engage—without brittle, net-new workflows. Keep a human review loop for voice, claims, and compliance; maintain a lightweight “AI edit spec” so speed never trades off against identity. Benefits include compressed creative cycles, a clearer rights posture while embracing generative imagery, higher engagement through context-relevant experiences across email/social/site, stronger loyalty via participatory content, and faster topic development by feeding SEO gap insights back into campaign themes.

Creative Consulting Concepts

B2B – The AI-Assisted Content Gap Accelerator

Challenge: A growth team needs to fortify topical authority across solution pages and thought leadership without adding headcount.
Execution: Run AI-driven content gap analysis on priority clusters (intent coverage, competitive deltas). Use GPT-4 to produce briefs and long-form outlines mapped to search intent and sales objections. Generate supportive diagrams and charts in Firefly for brand-safe visuals, and align employer-brand language with AI-drafted job posts so tone stays consistent across touchpoints.
Speculative Impact: Coverage depth could increase quickly, with non-brand organic and assisted conversions trending up as clusters harden.
Optimization Tip: Re-crawl quarterly, prune low-ROI topics, and tighten schema so AI-assisted summaries and emerging AI overviews favor your pages.

B2C – The Photoreal Carousel + Dynamic Email Loop

Challenge: A retail brand needs a steady cadence of high-quality carousels and story assets for launches and promos.
Execution: Use Midjourney for photoreal base concepts; refine in Firefly for cleanup, scene tweaks, and product consistency. Have GPT-4 generate caption sets and CTA variants by audience segment; extend the narrative into email with open-time dynamic image personalization so visuals and offers match each recipient’s context.
Speculative Impact: Asset throughput could double, with carousel engagement and email CTR improving as visuals and copy stay tightly aligned.
Optimization Tip: Maintain a prompt/preset library (lighting, palette, framing) so creative feels consistent even as volume scales.

Non-Profit – Donor Personalization Without Extra Headcount

Challenge: A lean communications team needs more stories and visuals to keep supporters engaged between major campaigns.
Execution: Draft supporter spotlights with GPT-4; convert each story into an Instagram/LinkedIn carousel using templates; personalize email imagery at open time with dynamic content tools to match donor segments (recency, cause, geography); reuse logic across web/mobile to avoid duplicate builds.
Speculative Impact: Email engagement could rise meaningfully, with repeat donations and share rates improving as storytelling stays relevant and tailored.
Optimization Tip: Refresh inputs monthly (cause priorities, performance data) so templates evolve with audience behavior.

Close the loop each month by reviewing cycle time, engagement, and non-brand organic movement on your target clusters — ship more of what compounds, cut what doesn’t.

References

OpenAI. (2023, March 14). GPT-4 technical report.

Version 1. (2023, March 14). OpenAI GPT-4 review.

Microsoft Bing Team. (2023, March 14). Confirmed: The new Bing runs on OpenAI’s GPT-4.

Adobe. (2023, March 29). Adobe Firefly beta updates.

Adobe. (2023, May 23). Generative AI as a creative co-pilot in Photoshop (Generative Fill).

Stokes, G. (2023, March 16). Midjourney v5 is out: How to use it.

LinkedIn Talent Solutions. (2023, March 15). LinkedIn tests AI-powered job descriptions.

Wei, Y. (2023, March 15). How LinkedIn is using AI to help write job descriptions.

Social Media Today. (2023). AI-powered carousel automation.

Movable Ink. (n.d.). Studio email personalization.

Khatib, I. (2023, February 17). What is Movable Ink?

Peterson, D. (2023, March 15). Universal data activation for cross-channel personalization.

Search Engine Journal. (2023). Content gap analysis & SEO.

Moz. (2023). AI tools for semantic content gap analysis.

Master of Code. (2023). ChatGPT statistics in companies.

Exploding Topics. (2023). Number of ChatGPT users.

Sixth City Marketing. (2023). AI marketing statistics (2025 compendium with 2023 data).

Statista. (2023). Popularity of generative AI in marketing (U.S.).

Influencer Marketing Hub. (2023). AI marketing benchmark report.

Bing + ChatGPT Integration Launches to Public Preview #AIgenerated

May 8, 2023 by basilpuglisi@aol.com Leave a Comment

Bing has officially launched its ChatGPT-powered search experience in public preview. Users can now ask questions in natural language and receive AI-generated answers alongside traditional search results.

For SEO professionals, this is a major shift. While traditional rankings still matter, AI summaries and conversational results can capture user attention before they click any links.

This means optimizing for conversational queries, ensuring content directly answers specific questions, and maintaining strong brand presence within AI-generated responses. Bing’s integration is also pushing competitors like Google to speed up their AI search features.

AI Creativity Crosses New Thresholds: From Multimodal Models to Workflow Integration

April 24, 2023 by basilpuglisi@aol.com Leave a Comment

AI’s acceleration is breaking new ground. The launch of GPT-4 introduces marketers to multimodal capabilities—accepting both text and image inputs—and pushes creative and analytical boundaries beyond what GPT-3.5 delivered. Microsoft integrates GPT-4 into Bing Chat and Office apps, while early adopters test extended context windows for complex campaign narratives. Canva’s Visual Suite expands with Magic Edit, Magic Eraser, and Magic Design, speeding up content iteration without sacrificing brand cohesion. Notion AI moves from beta to broad release, embedding itself into campaign planning, brief creation, and team documentation. Even podcasting—once a human-only creative domain—is seeing a shift, as hosts use AI to auto-generate show notes, summaries, and promotional clips in hours instead of days.

AI marketing integration, from GPT-4’s multimodal capabilities to Canva’s AI design suite and Notion AI’s workflow expansion—plus new creative opportunities in podcasting.

For B2B brands, these tools open the door to richer content ecosystems. GPT-4’s extended context and tone control make it possible to draft full sales playbooks, RFP responses, or industry reports that remain consistent across channels. Canva’s AI features allow marketing teams to produce data-driven presentations and custom client visuals at speed, reducing reliance on multiple creative vendors. In B2C, the same technology turns product launches and seasonal campaigns into multi-format storytelling opportunities. A retail brand can design entire cross-platform assets in Canva, generate variant product copy in GPT-4, and sync campaign briefs in Notion without breaking creative rhythm. Both markets gain from the podcasting shift: B2B shows can use AI to produce thought-leadership recaps that reinforce positioning, while B2C podcasts can release snackable, share-ready summaries that deepen consumer connection.

GPT-4’s multimodal capability is particularly significant for brands experimenting with image-driven narratives. The ability to provide a product image and receive copy that reflects its unique attributes bridges the gap between visual appeal and persuasive language. Canva’s AI removes the lag between creative ideation and execution, allowing campaigns to launch in days rather than weeks. Notion AI integrates content generation directly into the workspace where strategy lives, making the jump from idea to execution more seamless. In audio, AI is doing more than saving time—it’s expanding accessibility, with automated transcripts, multilingual support, and searchable archives that boost discoverability.

These shifts also point to a critical operational truth: AI is no longer an add-on, it’s embedded in core marketing workflows. Brands that embrace this integration early can expect faster iteration cycles, more consistent brand voice across channels, and the agility to pivot creative direction based on real-time feedback.

Best Practice Spotlight
Coca-Cola’s AI-Driven Campaigns: Harnessing GPT-4 to Scale Creative Engagement
Coca-Cola leverages GPT-4 alongside generative image AI to invite consumers into co-creating campaign content. Fans contribute prompts and ideas, GPT-4 generates branded narratives, and visual AI tools produce accompanying imagery. While still evolving, this approach has the potential to accelerate asset production, personalize engagement at scale, and deepen consumer connection by making them part of the creative process.

Strategy: Brands can follow this model by combining AI-driven text and visuals with human creative oversight, ensuring campaigns stay on-brand while opening the door to community-powered content. Involving consumers directly not only generates fresh creative inputs but also fosters a sense of ownership that can translate into stronger brand loyalty.

Creative Consulting Concepts
B2B – The Precision Knowledge Hub
Challenge: A professional services firm wants to consolidate research, client briefs, and proposals into a single, intelligent knowledge center to cut down on duplicated effort.
Execution: GPT-4’s extended context window organizes and synthesizes thousands of words of archived content into reusable templates. Notion AI drafts initial proposal sections, while Canva AI produces branded visual summaries for client presentations.
Speculative Impact: Proposal turnaround time could be reduced by 30%, while client satisfaction might improve through more consistent and visually aligned deliverables.
Optimization Tip: Periodically audit AI-generated materials for accuracy and regulatory compliance to maintain credibility.

B2C – The Social Story Engine
Challenge: A consumer lifestyle brand wants to turn seasonal campaigns into ongoing social narratives that keep engagement high between launches.
Execution: Canva Magic Design rapidly produces platform-specific creative variations, while GPT-4 drafts caption sets tailored to distinct audience personas. Podcast AI tools create mini-audio teasers that can be shared in Stories or Reels.
Speculative Impact: Social engagement could increase by 15–20%, with stronger brand recall driven by consistent, multi-format storytelling.
Optimization Tip: Use AI analytics to identify which creative and copy combinations perform best, then iterate in near-real time.

Non-Profit – The Accessibility Amplifier
Challenge: A non-profit producing advocacy podcasts wants to reach more global supporters while keeping costs low.
Execution: AI transcription and translation tools provide subtitles and summaries in multiple languages. Notion AI organizes advocacy points into shareable briefs, and Canva produces multilingual infographics for social media.
Speculative Impact: Global audience reach could expand by 25%, with increased supporter engagement due to improved accessibility and clarity.
Optimization Tip: Engage local partners to review translations for cultural relevance and accuracy before publication.

References
Canva. (2023, March 23). How we’re infusing AI into Canva. Canva Newsroom.
Canva. (2023, March 26). 10 highlights from Canva Create: A brand new era. Canva Newsroom.
Khoros. (2023). The best marketing campaigns of 2023.
Notion. (2023, February 22). Notion AI is here, for everyone. Notion Blog.
OpenAI. (2023, March 14). GPT-4.
Reuters. (2023, March 14). Microsoft-backed OpenAI starts release of powerful AI known as GPT-4.
Search Engine Journal. (2023, March 13). OpenAI GPT-4 is multimodal and launching mid-March 2023.
TechCrunch. (2023, March 22). Canva unveils a series of new features, including several AI-powered tools.
The Podcast Host. (2023). AI tools for podcasters: The ultimate list.
The Verge. (2023, March 14). OpenAI announces GPT-4 AI language model.

DuckDuckGo Crosses 100 Billion Searches and Pushes Privacy in Search Marketing #AIgenerated

April 3, 2023 by basilpuglisi@aol.com Leave a Comment

DuckDuckGo has reached a major milestone: over 100 billion lifetime searches. In March, the privacy-focused search engine also introduced new privacy features for its browser and mobile app, reinforcing its position as an alternative to data-heavy platforms like Google and Bing.

DuckDuckGo SEO, privacy search engine, alternative search, privacy marketing

For marketers, DuckDuckGo presents a challenge and an opportunity. While its audience is smaller, it includes privacy-conscious users who may respond better to value-driven, trust-focused messaging.

SEO for DuckDuckGo often overlaps with Google best practices, but without the same emphasis on personalized search history. This means focusing on strong technical SEO and relevant content without relying on behavioral targeting.

AI Acceleration in Search, Creative, and Commerce

March 27, 2023 by basilpuglisi@aol.com Leave a Comment

AI’s momentum is not easing—it’s accelerating. Major players in search, ecommerce, and creative production are pushing forward faster than ever, with each innovation creating ripples across marketing strategies. Microsoft’s AI-powered Bing enters the market with a conversational search interface that reframes how people think about queries. No longer confined to typed keywords, users are treating search as a dialogue, expecting nuanced answers and iterative refinements. Google’s Bard, though launching under the shadow of a demo misstep, signals how competitive pressure fuels rapid AI deployment. In parallel, visual generation tools like Midjourney and DALL·E 2 are becoming everyday fixtures in campaign workflows, while Shopify’s AI-generated product descriptions show how even small merchants can deploy enterprise-level content efficiency.

AI marketing, Bing AI, Google Bard, Midjourney, Shopify Magic, ecommerce AI, conversational search, AI-generated product descriptions, B2B AI marketing, B2C AI marketing

For B2B marketers, these developments are reshaping prospect engagement and competitive positioning. AI-powered search changes how decision-makers discover vendor information, with conversational interfaces pulling summaries instead of just listing links. Optimizing for AI-friendly formats—clear topic clusters, structured data, and high-authority content—becomes critical. Visual AI tools compress creative timelines, enabling rapid iteration for sales decks, event visuals, and product mockups. Ecommerce platforms like Shopify demonstrate how AI-generated copy can help B2B distributors and wholesalers localize product information across markets, improving buyer clarity and shortening the sales cycle. For B2C marketers, AI-generated visuals and product descriptions open the door to faster campaign launches and more personalized experiences. Midjourney allows consumer brands to test aesthetic directions before committing to full-scale production, while Shopify Magic ensures every SKU—from fast fashion to artisanal goods—has compelling, SEO-rich copy in multiple languages, enhancing discovery and boosting conversions.

The first wave of user data from Microsoft’s AI-enhanced Bing confirms what early adopters suspected: millions are engaging with its conversational interface, treating search less like a static tool and more like an interactive assistant. This behavioral shift is pushing keyword strategies beyond simple match terms toward richer, conversational phrasing and semantically linked topic clusters—formats AI is more likely to summarize and surface. At the same time, Google’s Bard, despite a high-profile factual slip in its debut demo, underscores how fierce competition accelerates AI rollouts. For marketers, it’s a reminder that platform diversity will only grow, making it essential to craft content that adapts well to multiple AI ecosystems. Creative teams are also finding speed and flexibility in tools like Midjourney, using AI-generated visuals to prototype ad concepts, develop social assets, and enhance event presentations in hours instead of weeks. The same acceleration is playing out in ecommerce, where Shopify’s built-in AI tools allow even the smallest merchants to produce SEO-rich, multilingual product copy on demand—improving discoverability, strengthening brand tone, and dramatically reducing time-to-market. Taken together, these shifts point to a core marketing reality: AI is no longer a channel-specific disruptor but a cross-functional accelerator, transforming how ideas are discovered, designed, and delivered across the customer journey.

Best Practice Spotlight
Shopify’s introduction of AI-generated product description features in 2023 marked a pivotal step for ecommerce merchants, especially small and mid-sized sellers, enabling rapid, scalable content creation essential to compete with giants like Amazon. Shopify Magic’s in-admin accessibility, multi-language support, and tone customization empower merchants to produce SEO-optimized, branded descriptions quickly — improving product page quality, speeding time-to-market, and enhancing customer engagement. This innovation addresses a major ecommerce pain point: the time-consuming challenge of writing compelling product copy at scale.

Creative Consulting Concepts

B2B – The Precision Email Engine
Challenge: A mid-sized SaaS provider needs to connect with decision-makers across industries while avoiding wasted effort on low-response campaigns.
Execution: Predictive send-time optimization and AI-powered subject line personalization, fueled by Copilot’s Dynamics 365 insights, segment audiences by role, urgency, and buying stage. Messages are crafted to address each segment’s unique challenges and deployed at optimal engagement times.
Speculative Impact: Open rates could increase by up to 25%, click-through rates by ~15%, and sales cycle velocity may improve by ~10%.
Optimization Tip: Maintain a human compliance and tone review loop in highly regulated sectors.

B2C – The Social Content Accelerator
Challenge: A lifestyle and apparel brand needs to keep pace with demand for high-quality short-form video without burning out its creative team.
Execution: Midjourney produces brand-aligned imagery for seasonal campaigns, while AI-driven Reels scripts are optimized for engagement. Copilot builds content calendars, integrates feedback workflows in Teams, and ensures a consistent publishing rhythm.
Speculative Impact: Content production time could be cut by ~50%, engagement could lift ~20%, and follower growth is likely to accelerate.
Optimization Tip: Alternate between AI-generated and behind-the-scenes content to maintain audience trust.

Non-Profit – The Intelligent Event Planner
Challenge: A global NGO must enhance donor engagement during its flagship fundraising event with limited staff capacity.
Execution: AI event platforms create personalized attendee agendas, recommend relevant networking opportunities, and deliver targeted cause-related content. Copilot segments donor lists for tailored outreach based on giving history.
Speculative Impact: Attendee satisfaction scores could rise by ~20%, donations by ~15%, and staff may reclaim 40%+ of planning hours for direct relationship-building.
Optimization Tip: Communicate transparently about how AI improves supporter experiences to preserve trust and connection.

References
NPR. (2023, February 7). Microsoft revamps Bing search engine to use artificial intelligence.
Lunden, I. (2023, February 7). Microsoft announces new Bing and Edge browser powered by upgraded ChatGPT AI. The Verge.
Microsoft. (2023, February 7). Reinventing search with a new AI-powered Microsoft Bing and Edge — Your copilot for the web.
CNBC. (2023, February 7). Microsoft OpenAI ChatGPT event 2023 — live updates.
Bing Search Blog. (2023, March 14). Confirmed: the new Bing runs on OpenAI’s GPT-4.
World Economic Forum. (2023, February). Google unveils Bard in AI battle with ChatGPT.
Robertson, A. (2023, February 8). Google’s AI chatbot Bard makes factual error in first demo. The Verge.
Contrary Research. (2023). Midjourney — Company profile and use cases.
OpenAI. (2022, April). DALL·E 2: Creating images from text.
eMarketer. (2023, February 13). Shopify launches generative AI product in its latest move against Amazon.
Typli.ai. (2023, March 10). The art and science of crafting the best Twitter AI prompts.
Manick, M. (2023, January 23). AI in SEO: How AI is changing keyword clustering & topic research. WordLift Blog.
Eventbrite. (2023, January). How AI is changing the game at Eventbrite.

Google’s February Product Reviews Update and the Push for Authenticity #AIgenerated

March 6, 2023 by basilpuglisi@aol.com Leave a Comment

Google has rolled out another Product Reviews Update in February, aimed at rewarding content with genuine, in-depth evaluations. Pages that demonstrate first-hand experience, original photos, and detailed comparisons are performing better in search results.

Google Product Reviews Update, SEO for reviews, authentic content, Google ranking factors

Thin review articles that simply summarize other sources are losing visibility. This is part of Google’s ongoing effort to surface expert-driven and trustworthy content.

For SEO professionals, this is a reminder to create review pages that go beyond specs and promotional language. Sharing personal insights, test results, and side-by-side comparisons can help earn better rankings.