I recently discovered that the world of ChatGPT ads is rapidly evolving, with major brands tapping into high-intent prompts like “best” and “new.”
After hearing about this trend, I delved into the findings from AI ad intelligence firm Adthena, which has been monitoring the acceleration of ChatGPT’s ad ecosystem. It’s fascinating to see more brands joining in, along with clearer patterns for ad placements.
What’s happening? Adthena first spotted advertisers within ChatGPT just last week, and they’re already reporting a marked increase in both advertiser activity and ad delivery tactics.
Advertisers spotted so far:
Best Buy
AT&T
Pottery Barn
Enterprise
Qualcomm
Expedia
How ads are triggering: Analyzing over 1,500 prompts in the past week has revealed that most ads show up on the first prompt, while others activate on the third or fourth reiteration of the same query. High-intent words like “best” and “new” play a significant role.
“I am going to buy a new phone. What is the best phone?”
“I need a new phone.”
“I need to buy a new desk, what’s best?”
Between the lines: The keyword triggers are simple, focusing on commercial intent rather than emotional nuance. For instance, Best Buy managed to secure two ad slots in responses to iPhone-related prompts, indicating their early moves to capture this evolving market.
Why this matters: As the ChatGPT advertising space grows, understanding these trigger behaviors — even at a basic keyword level — can be crucial for brands exploring this new avenue.
The bottom line: ChatGPT ads are steadily transitioning from experimental phases to established patterns. While signals remain simple, competitive tensions are already brewing.
Spotted. Insights into the competitive ChatGPT ad landscape were shared by Adthena’s CMO, Ashley Fletcher, who uploaded screenshots on LinkedIn.
AI Overviews are reshaping the landscape of paid search by lowering click-through rates, increasing cost-per-click, and compressing the buyer journey. As I’ve seen in my own campaigns, adapting to these changes is crucial for maintaining performance and staying competitive.
I’ve noticed Google’s AI Overviews appear across search results with varying frequency. However, in some categories, they take over completely. According to Adthena:
Finance queries with five or more words see AI Overviews on 79% of searches.
Retail shows an 84% visibility for comparison and product discovery queries in the 9-10 word range.
Healthcare keywords, even short ones (1-3 words), trigger high AI Overview penetration.
I realize that organic traffic faces obvious challenges, yet the downstream impact on paid search is more severe than I thought. Here’s how that manifests in practice.
AI Overviews systematically alter paid search by affecting click volume, auction dynamics, and user behavior during conversion. They speed up structural trends that reshape search, such as SERP saturation, automated bidding, and Performance Max adoption.
The speed at which Google rolled out AI Overviews is staggering. Many verticals have seen transitions that typically spanned years compressed into months. To understand how this impacts my paid search, I must consider how AI Overviews have reshaped each component of campaign performance.
So now, how much have the response rates been affected by AI Overviews? Recent data from Seer Interactive shows the decline’s scale. Paid CTR on queries featuring AI Overviews plummeted by 68%, dropping from 19.7% to 6.34% between June 2024 and September 2025.
At the same time, organic CTR fell 61% on the same queries, but the steeper decline in paid traffic suggests AI Overviews reshape where paid ads appear and who clicks them, not simply their overall presence.
The drop accelerated sharply in July 2025, when paid CTR collapsed from approximately 11% to 3% within a month due to Google aggressively expanding AI Overviews.
Non-branded informational queries saw the most severe declines. But it’s not all bad news. Branded searches and high-intent queries exhibited greater resilience, and many advertisers noticed minimal impact on key conversion terms.
There’s a direct link between AI Overviews and rising campaign costs. As response rates decline, CPC inflation occurs due to supply and demand mechanics. Google Search spending grew 9% YoY in Q1 2025, but click growth was just 4%. The 5% gap reflects more money chasing fewer clicks.
AI Overviews boost CPC inflation via several mechanisms, including ad positioning. Research on ad positioning reveals that ads performing well above an AI Overview see a performance dip for those below, reducing impression share and CTR.
AI Overviews also accelerate the consideration phase of the buyer’s journey. Activities that once took days are now compressed into minutes, facilitating research and comparisons across sessions.
For instance, what used to be a multi-day process in 2023, like looking for the [best project management software for remote teams], can now convert users in a single session with the help of AI Overviews.
This shift affects campaigns in three ways: smaller retargeting pools, diminished brand awareness, and AI Overviews mentions being a must for visibility.
The compression of the buyer journey results in a surprising economic outcome. While click volume shrinks, conversion rates improve. An analysis of 16,446 campaigns showed enhanced conversion rates in 65% of industries despite reduced click volume.
Enhanced conversion rates signify that AI Overviews are filtering out casual inquiries, leaving high-intent prospects to convert. While this could offset CPC inflation, the need for strategic adaptation in campaigns remains vital.
Therefore, let’s discuss the four strategic pivots I find essential in today’s AI-driven search environment.
First, monitor and optimize informational intent performance. Given AI Overviews’ impact, systematic observation and adaptation are necessary to identify profitable versus draining keywords.
Second, prioritize feed quality. AI can summarize but not invent details like price and inventory. Robust product feeds offer a competitive advantage here.
Third, craft creative that stands out. Ads need to answer why customers should choose your service over others and why now.
Fourth, leverage audience data over keyword targeting. Audience lists built from first-party data allow targeting based on customer relationships.
In conclusion, AI Overviews are reshaping paid search, leaving advertisers at a crossroads. Personalized strategies that embrace new realities will help navigate these challenges effectively.
I’ve got some exciting news to share: Google is rolling out its AI Max text guidelines across the globe! This means that as advertisers, we gain more autonomy over the creative processes of AI-generated ad copy by implementing custom text rules to maintain on-brand messaging.
Here’s What’s Happening: Now, AI Max provides worldwide access to text guidelines for Search and Performance Max campaigns. These guidelines come with comprehensive language and vertical support.
We can now use natural language instructions to shape AI-generated creatives. This includes the power to exclude certain terms or phrases, ensuring that what we publish stays true to our brand.
Why This Matters to Us: In an era where AI-powered creative content is central to performance marketing, keeping a tight rein on brand safety and tone is crucial. By customizing text, we can ensure that ads align with user intent and our brand’s unique positioning. This way, we establish guardrails ensuring consistency, like guiding AI to avoid language that misrepresents our brand. Early adopters, such as BYD, have witnessed increased lead generation at reduced costs—proving that human-guided AI can significantly enhance campaign outcomes.
The Bottom Line: Maintaining your brand voice in AI-generated ads is probably a top priority, just like it is for me. With Google’s expanded text guidelines, we now have practical and easy-to-use tools to keep control while scaling AI capabilities.
When I first heard about Google’s AI Overviews, I realized they weren’t just going to affect visibility; they had the potential to hit revenue hard. Adthena’s latest data analysis sheds light on just how significant this impact could be on CTR and CPC.
Adthena dove into a detailed study from late December 2025 through January 2026, involving a comprehensive look across six major industries. This involved tracking performance metrics from millions of ads.
While on the surface, aggregate data seemed stable, a closer inspection revealed a more complex reality. For advertisers like myself, these automated summaries don’t just pose visibility issues; they’re a direct threat to PPC revenue.
What AI Overviews Mean for Paid Search Revenue
AI-generated summaries are altering the very structure of successful campaigns. When a Google AI Overview pushes ads below the page fold, it sets off a sequence of events impacting my profitability:
Lower CTR = fewer clicks: With diminished visibility, there’s a noticeable drop in visits to landing pages, diminishing the traffic flow.
Fewer clicks = fewer conversions: A decrease in traffic inevitably means fewer leads or sales.
Higher CPC = reduced profitability: In industries where AI summaries appear on competitive terms, maintaining relevance costs more, squeezing margins and lowering ROAS.
AI Overviews Impact Across Six Industries
Adthena’s study tracked AI Overview frequency, content themes, and CPC/CTR performance across devices. The results paint a complex picture, with impacts varying by industry, device, query type, and content intent.
Content Themes: The Battle for Mid-Funnel Intent
Adthena pinpoints a shift where Google moves deeper into comparison and instructional content spaces, directly targeting high-converting paid search areas.
The comparison conflict: In Telecom, Technology, and Retail, AI Overviews frequently deliver comparison content, which could satisfy user curiosity prematurely, preventing a further click on my ads.
The informational buffer: In Healthcare and Financial Services, themes like news and FAQs can act as intent barriers, potentially safeguarding ad spend by meeting low-intent signals before a user clicks on a paid ad.
The opportunity gap: Problem-solving content remains mostly unaffected at 0-2%. This creates a safe harbor for advertisers, with minimal AI interference in these areas.
CPC Trends: The Premium for Visibility
By tracking CPC fluctuations, I can identify where the cost of visibility is increasing due to the presence of AI Overviews.
Technology: AI Overview-related queries consistently yield higher CPCs, signaling increased costs for visibility.
Automotive & Retail: Across these sectors, costs remain similar regardless of AI Overviews, signifying less immediate impact.
Financial Services: Even modest CPC spikes can significantly impact profitability in industries with already high CPCs.
Device Splits Expose Desktop Saturation
Breaking down data by device reveals notable differences, showing more nuance than initially apparent.
Desktop dominance: Queries in Technology and Education are heavily populated by AI Overviews, making ad competition unavoidable.
Mobile opportunity: While AI Overviews appear less frequently on mobile, they more aggressively displace ads due to limited screen space, unlike desktop where multiple ads can sit below the overview.
CTR Trends Provide Evidence of Traffic Erosion
Examining CTR trends reveals ongoing discrepancies between influenced and standard search outcomes.
Persistent gaps: In Telecom and Technology, lower CTRs with AI Overviews highlight the direct impact on traffic flow.
Consumer resilience: Financial Services and Retail show narrower CTR gaps, indicating ad preference despite AI Overviews.
Late month volatility: Spikes in Healthcare showcase rapid performance fluctuations as Google refines its AI deployment.
Distribution Data Reveals the Zero Click Reality
This data layer exposes a winner-take-all dynamic often obscured by average metrics.
The baseline gap: In the absence of AI Overviews, CTR remains strong across sectors, particularly Retail. However, where AI Overviews are rampant, the gap reveals the complete story.
High AI Overviews frequency, low CTR: Ubiquitous AI Overviews mean reduced CTR across sectors, including Technology. As frequency climbs, ad traffic capture decreases.
Resilience in Automotive: Automotive maintains a relatively diverse spread in mid-frequency ranges, suggesting users bypass summaries for brand information.
Three Immediate Steps to Adapt Your Paid Search Strategy
To protect my margins, here’s what I can do:
Monitor Click Through Rates (CTR) and Cost Per Click (CPC) changes: Although they don’t provide the complete picture, shifts in CTR or CPC can warn of AI Overview effects.
Segment performance by device: By separating desktop and mobile data, I can discover hidden trends that might be blurred in combined reporting.
Use Adthena’s free Market Share reports: These reports allow me to understand AI Overview frequency in my category and recognize at-risk areas for visibility.
Gaining Visibility with Adthena’s AI Overview Solution
To grasp AI Overview effects, continuous and detailed query-level intelligence is crucial. Adthena’s AI Overview solution regularly indexes search results, providing advertisers with insights into:
AI Overviews frequency patterns by query, industry, and device.
Content themes and citation sources.
Performance metrics including impact on CPC and CTR.
Ad position vs AI Overviews.
These insights help advertisers like me detect and address disruptions to revenue before they impact performance.
Coming soon: Adthena’s enhancement to the AI Overviews solution will include visibility into ads within AI Overviews, offering a comprehensive assessment of ad performance throughout the SERP.
The SERP Has Changed: Adapt or Fall Behind
While Google’s AI Overviews are here to stay, their effect isn’t uniform nor unsurmountable. Successful advertisers, like those who are vigilant, understand precisely where and how AI Overviews appear, what content they promote, and how their audience reacts.
Precision is vital. Assumptions lead to downfall.
Book a demo to see exactly how AI Overviews are impacting your campaigns.
Starting March 1, 2026, Google’s update is a game changer for those of us using ad scheduling. This change will actively pace our budgets, potentially reaching the full 30.4x monthly limit, even if our campaigns are running only on specific days.
Understanding the Change. Many of us may recall how Google used to pace our budgets based on active days. But with this update, they will aim to hit the full monthly cap within our scheduled times.
How It Works:
The 2x daily overspend rule remains in place.
The 30.4x average daily budget monthly cap is unchanged.
Our campaigns will continue to run only within scheduled hours.
Google’s new approach attempts to hit the full monthly budget within our existing schedule.
Why This Matters. Previously, if we ran campaigns on limited schedules, like weekends, our monthly spend was naturally lower. But now, we might see a significant increase in spending thanks to this pacing change—without any alteration to daily budgets or billing limits.
For instance, if we have a $100 daily budget set for weekends-only, our spend could jump from around $800 to $1,600 monthly because Google will try to maximize our spending on each active day.
Google’s Perspective. Ginny Marvin from Google clarified that this shift aims to better match the pacing with our expectations for monthly spending limits. While we won’t exceed billing caps, we should anticipate an adjustment in how budgets are approached.
According to Ginny, only those who received direct notifications of this update will be affected, and the change will roll out gradually.
What It Means for Us. Essentially, this isn’t about raising limits but about how Google utilizes current ones. If we rely on ad scheduling to contain our spending, this might cause unexpected increases unless we adjust our daily budgets accordingly.
Steps to Take Now:
Review all campaigns using ad scheduling.
Recalculate daily budgets to align with your true monthly goals.
Consider lowering daily budgets to maintain previous spending levels.
The Bottom Line. Google’s not altering our spending capacity, just the pace at which we might reach it. Ensure to modify flighted or part-time campaigns before March 2026.
Initial Insight. This update was first brought to my attention by Jordan Fry, who shared Google’s message on LinkedIn.
Every week, I join thousands of other media buyers in the same ritual. We open the Meta Ads Manager, eyes scanning the metrics, striving to identify the winning and losing campaigns. A positive ROAS gives us a sense of contentment, while a negative one sends us scrabbling to disable the underperforming asset. This is where many advertisers find themselves trapped in the scoreboard mentality.
By treating metrics as a mere scoreboard, I only see the final outcome, missing the bigger picture that could guide future improvements. It’s like judging a game’s score without considering that my strikers aren’t receiving any passes from the midfield.
If I want to scale performance, it’s crucial to transition from mere reporting to diagnosing. By viewing metrics both as individual KPIs and as parts of an interdependent system, I can uncover the real narrative within my account and make informed optimization decisions.
The Dashboard Illusion
Meta’s interface, with its linear grid format, can sometimes give a false sense of clarity. While one column points at high CPM as an issue, another blames low CTR. In reality, these metrics are often connected, revealing much deeper insights.
A high CPM might not necessarily mean an expensive audience. Instead, it could indicate that my creative isn’t up to par, prompting Meta to charge more due to a subpar user experience.
On the flip side, while a high CTR seems like a win initially, if my CVR is declining, then it’s not really a victory. I find myself paying for high-intent customers that my landing page fails to convert.
The dashboard might tell me what happened, but understanding the system explains why.
A visual of an example of Meta Ads Manager CTR and CPM reporting columns.
To better comprehend the system, I visualize metrics as parts of a sports team. Each player has a unique role. If the team loses, I don’t bench them all. Instead, I review the plays to identify areas for improvement in the next game.
The Scouts: CPM and Reach
CPM acts as feedback from the auction on my total value, combining my bid, estimated action rates, and user value. Together, they play the role of market resonance.
If I notice a spike in CPM compared to historical averages, these metrics hint at an overly crowded market or my creative’s ineffectiveness in maintaining volume.
The Midfielders: CTR and Hook Rate
Their role emphasizes moving the engagement from Meta’s ad placement to my website. A high hook rate but low CTR shows my ad snags attention but falters in driving clicks. It effectively stops the scroll, but people aren’t compelled to click.
The Strikers: CVR and AOV
Representing the final journey step, they depend on my website. A high CTR and low CPC, yet a low ROAS, indicate issues. Although my ad performed well, my landing page or offer didn’t convert the visitors.
The real analysis occurs between the columns displayed in Ads Manager.
Hook vs. Hold Rates
By examining the ratio between hook and hold rates, I can prevent creative fatigue that impacts ROAS.
If my ad has a high hook rate but low hold rate, it captures attention initially but rapidly loses it. This suggests I should enhance the latter part of the ad with a compelling CTA.
If I observe a low hook rate but a high hold rate, most people disengage early, although those who engage tend to convert. This scenario presents a chance to test new hooks that align with the rest of the video, aiming to boost initial engagement and conversions.
Link Clicks vs. Landing Page Views
The discrepancy between these metrics often goes unnoticed. Out of 1,000 clicks, if only 450 landing page views are recorded, there may be a technical issue. It’s essential to check my page speed and ensure my tracking functions properly.
Such a drop isn’t typically due to a creative problem but likely a slow server issue since people expect quick site loading times, and any delay results in bounces, wasting my budget.
CPA vs. Frequency
If increasing CPA is baffling, I should examine the frequency. A rise in both suggests ad fatigue among my audience.
An exhausted audience and system require fresh input, not just increased bids or budgets. I should refresh my creative assets or expand targeting if it’s too narrow.
A visual of an example of Meta Ads Manager reporting columns.
When I encounter an underperforming campaign or creative, I ask myself:
Is volume constant? Have impressions or spend decreased? This might indicate the system devaluing or rejecting my ad, especially the creative component.
Where is the friction occurring? I trace it across hook rate, CTR, and CVR.
Upon identifying the bottleneck, I focus on altering only that variable. Changing multiple elements simultaneously obscures the actual issue. For example, if CVR is low, I focus on the landing page experience, not the ad itself.
Am I directing traffic to a detailed product page while promoting various products in a single creative? It’s crucial to eliminate this friction by creating a product collection landing page, offering an intuitive experience for all interests once they click.
Becoming a Media Architect
With Meta’s AI guiding targeting, my role evolves into a system architect.
While a scoreboard highlights something isn’t winning, a system map unravels the full narrative, such as slow site speeds affecting ROAS or creative appealing to the wrong audience.
Next time I check my account, I’ll resist the urge to immediately glance at the ROAS column. Instead, by focusing on ratios and tracing the user’s journey, I’ll unlock the story from ad to website. Shifting focus from winners to detecting friction points is the key to engineering substantial growth.
I’ve noticed a shift in Google Merchant Center that makes video a key player in retail ad strategies. The once-empty Video Assets section is now abuzz with automatically sourced content.
Initially showcased at Google Marketing Live 2025, this feature is designed to centralize our video content within Google Merchant Center. Although the rollout started in September, many of us saw only a blank screen.
That’s no longer the case—videos are now seamlessly imported, including those from YouTube.
Why is this important to me? Google’s commitment to making Merchant Center a hub for creative commerce shows through this update. With videos auto-populating, our brands can enhance visibility across Shopping and Performance Max with less effort, though it means I must ensure my YouTube and website videos are commerce-ready.
In essence, video is becoming essential in retail ad delivery, and by staying proactive, I can gain a competitive advantage.
Reading the details, Google aims to centralize videos from various platforms including potential AI-generated sources, transitioning Merchant Center into a comprehensive creative hub rather than just a product feed manager.
This trajectory aligns with the larger movement towards video-first shopping experiences in campaigns like Search, Shopping, and Performance Max.
What I should monitor. I still have questions about how performance reporting and optimization controls in the Video Assets section will develop. However, the transition from an empty placeholder to a populated library illustrates that the infrastructure is now live.
Breaking news. This update was initially reported by PPC News Feed founder Hana Kobzová.
I’m thrilled to share that Google Ad Grants has introduced a new feature allowing nonprofits to focus on increasing actual foot traffic to their locations. By setting ‘shop visits’ as a goal, we can drive more visitors through our doors and witness our campaigns translate into real-world impact.
Driving the news. Before this update, attempting to set shop visits as a goal in Ad Grants would result in an error. It’s exciting to see this barrier removed, enabling eligible accounts to now include store visit conversions in their primary goal settings.
The update empowers us, as nonprofits and local organizations, to better use bidding and optimization strategies that align with increased in-person visits — a valuable enhancement for appearing in Maps and location-based searches.
Why we care. For organizations like museums, community centers, and places of worship, having a tool that marries digital engagement with physical impact is invaluable. Optimizing for shop visits ensures our ad success is directly linked to actual visitor numbers.
Between the lines. Google’s emphasis on local search intent and Maps-based discovery makes this feature even more critical for nonprofits. It shifts our focus from simply generating clicks to driving actionable visits, which can significantly enhance local community engagement.
What to do. If you’re using Ad Grants, I recommend reviewing your account-level goals to ensure shop visits are activated where applicable. This focus on foot traffic can significantly uplift local impact, especially for organizations heavily reliant on face-to-face interactions.
Spotted by: This advancement was highlighted by Google Ads Expert Jason King, who shared it on LinkedIn.
When I’m crafting paid search ads that beat the competition, I always remember to review them in context, not isolation. This helps me understand how my ads stand against others. By doing this, I gain practical insights to enhance messaging, leverage AI effectively, and create PPC copy that truly converts.
How frequently do I analyze my PPC ad copy? I don’t just focus on performance metrics within the ad platform. I make it a point to assess how my ads appear alongside competitor ads, ensuring my message stands out.
Am I using the same messaging as my competitors? What makes my offer unique? I strive to create ads that feature clear calls to action and convincing selling points, avoiding bland and generic content.
Here are several strategies I follow to make my paid search ads stand out and attract customers to my brand.
1. Think about how assets will appear together, not just individually
When I’m working on Responsive Search Ads, it can be tempting to simply fill out all 15 headline options and the four descriptions. But I know that if each headline essentially repeats the same message with minor variations, the ad copy can appear monotonous and repetitive.
To avoid this, I ensure the headlines offer a variety of angles and points of interest. For example, instead of having headlines like “Project Management Software – Project Management Solution – Project Management,” I use options such as “Project Management Software – Trusted by 3 Million Users.”
If I want to experiment with several headlines, I pin them to the same position so the platform can rotate between them without showing similar options simultaneously.
While checking the ad strength rating is common, I focus on the bigger picture instead of just chasing an Excellent score.
I’m more concerned about whether each headline and description accurately reflects my benefit points. Although pinning can negatively impact ad strength, it’s worth it for cleaner messaging.
3. Use AI as a partner, but don’t blindly outsource all your copy to AI
I utilize AI tools from Google and Microsoft to generate text for my ad assets, but I don’t use them without review. These tools provide a starting point, but I always add the human touch to ensure alignment with my brand voice and compliance with industry guidelines.
When I claim to be the “Best Local Contractor,” I provide evidence, such as “Voted Best Local Contractor by [News Outlet].” I use numbers where possible to enhance credibility and reinforce my claims.
5. Highlight ease of effort
I emphasize how my product or service saves time and effort. Whether it’s “Open an account in 10 minutes” or “Schedule a same-day appointment,” I ensure these claims reflect reality to build trust.
To catch potential customers’ attention, I highlight free offerings like “Free trial” or “Free quote.” Such offers encourage prospects to take the next step.
7. Turn off automated assets
Given the possibility for concerns over compliance and accuracy, I disable the setting for automatically generated assets. This ensures the messages and links presented are ones I’ve approved.
8. Highlight pricing where it makes sense for your brand
In scenarios where I can highlight competitive pricing, I do so to help my ad stand out, especially during comparison shopping. When pricing is higher, mentioning it can effectively filter out less suitable prospects.
9. Mention locations in regional campaigns
Mentioning specific locations in my ad copy, like “Now Open in Buckwheat County,” helps create a local alignment, making the ad more relevant to users in that area.
With these strategies in mind, I consistently review and refine my ad copy. I ask myself where I can improve asset combinations, highlight unique value propositions, or better tailor my wording to customer concerns.
In the end, my ad doesn’t just compete in isolation; it competes in the search results alongside others. Understanding this helps me ensure my ad stands out and delivers results.
As an advertiser reaching out to Google Ads support, I’ve discovered there’s a new step involved in the process. Now, I must authorize any support-led changes to my account while still being accountable for the outcomes.
When I contact Google Ads support, I encounter a beta AI chat first. If I choose to fill out a support form instead, I need to check an ‘Authorization’ box. This allows a Google Ads specialist to access my account and deal directly with the issues by making necessary changes.
The fine print makes it clear that while Google may assist, they don’t guarantee any specific results. Any alterations are at my own risk, meaning I am fully responsible for any impact on my campaigns’ performance and costs.
Why do we care about this change? The new requirement places more responsibility on us, the advertisers. Even in an era of automation and AI, if any changes are applied by support, I still bear the risks associated with campaign performance and spending adjustments.
This situation presents a dilemma for people like me, as it offers a trade-off between speed and control. Allowing access can quicken the troubleshooting process, but it also means potential changes at the account level that might affect live campaigns without a guarantee of better results.
The bottom line? To obtain support, I might now have to temporarily hand over control, but I still need to remain accountable for my account’s future performance.
This change was first observed by PPC specialist Arpan Banerjee, who shared the message on LinkedIn.
