I’ve noticed that Google is currently investigating an issue with the Google Search Console. Specifically, this concerns the data logging and reporting of “Job listing” and “Job details” search appearance filters.
On April 16th, a bug began affecting how this data is logged, causing Google to report zero clicks and impressions for job-related reports. Although traffic is still being received, it’s not being recorded correctly.
What Google said. According to an update from Google, “A logging error is preventing Search Console from reporting impressions and clicks for ‘Job listing’ and ‘Job details’ Search appearance types from April 16, 2026 onward. We’re working to resolve this issue. This issue affects data logging only.”
Complaints. I’ve also seen numerous SEOs voicing their concerns on social media, as shared in a tweet by Max Peters. The bug seems to impact impressions and clicks, but the traffic still comes through other measurement methods like google_jobs_apply UTM.
Why we care. If you’ve noticed a decrease in search data for job listings, rest assured, it’s due to this bug on Google’s side. Your listings are likely still active and receiving traffic, although this isn’t reflected in Search Console at the moment.
Have you heard the news that OpenAI has introduced CPC ads to ChatGPT? This strategic shift has transformed it into a performance-driven channel, offering advertisers new avenues for engaging intent-driven audiences and tracking ROI.
OpenAI is moving away from a focus purely on impressions in ChatGPT to prioritize performance. This change places OpenAI in direct competition with giants like Google by adopting cost-per-click (CPC) ads, allowing advertisers to pay only when users click on their ads.
What’s happening? OpenAI has started testing CPC ads within ChatGPT, where advertisers only pay when their ads receive clicks. Initial reports highlight that these clicks are priced between $3 to $5. They’re rolling out this feature through a limited ads manager, alongside their existing CPM-based model.
Why now? The main catalyst seems to be pricing pressure. Since its launch, ChatGPT’s CPMs have significantly decreased from around $60 to approximately $25. Switching to CPC helps mitigate this decline by connecting revenue to tangible outcomes rather than mere impressions.
Why do we care? With its evolution into a performance channel, ChatGPT is now not just a branding space. The CPC pricing model makes it easier for us to connect budgets directly to measurable actions, test ROI, and compare these results with channels like Google Search.
I’m excited about the opportunity for advertisers to access what could be a high-intent audience in a new format. This presents a first-mover advantage before competition—and the associated costs—escalate.
The bigger picture: This isn’t just a pricing change; it’s a strategic pivot. By embracing CPC advertising, OpenAI challenges Google’s dominance in the market, thereby positioning ChatGPT as a contender for performance marketing budgets.
Reading between the lines: A major challenge lies in proving user intent. While search advertising is effective because it captures users actively searching for something, ChatGPT’s conversational context needs to generate clicks with equal value. Advertisers will likely compare these results directly with Google, setting a high standard for quality and conversion.
Zoom out: Advertising is becoming integral to OpenAI’s long-term revenue plan, supported by investments in ad infrastructure, measurement tools, and a wider self-serve platform.
Bottom line:By implementing CPC ads, OpenAI is vying for the performance-driven ad dollars that have long supported traditional search platforms.
As I dive deeper into the world of AI, I’ve come across something truly fascinating about how query language is changing the landscape of AI citations. In our analysis, Profound looked at an astounding 3.25 billion citations spread across seven AI models and fourteen countries. What the data revealed was mind-blowing: the language used in queries is the main catalyst reshaping citation rates across different AI platforms.
Interestingly, I noted that AI tools like Google AI Overviews and ChatGPT handle non-English prompts in uniquely distinct manners. This variation has far-reaching consequences for brand visibility on a global scale, especially within the realms of AI search. The differences in response patterns not only highlight the power of language but also impact how brands are perceived worldwide.
I recently came across OpenAI’s testing of a new ChatGPT Ads Manager interface, which heralds a promising shift towards a more scalable and self-directed advertising platform.
Advertisers are buzzing about their experiences with the new Ads Manager interface for ChatGPT. It’s a leap forward, offering a mature advertising platform where we can manage campaigns in real time. This is a significant improvement over what we’ve had so far in terms of reporting and controls, as shared by digital marketers Juozas Kaziukėnas and Glenn Gabe through their detailed images.
What’s New: The Ads Manager is essentially a dashboard that allows me to run, monitor, and optimize campaigns in real-time—a significant advancement from the limited reporting we’ve seen previously. Juozas Kaziukėnas and Glenn Gabe shared some fascinating insights through images of this evolving interface.
Why It Matters: Up to now, ChatGPT ads have been in the nascent stages, with advertisers relying on basic tools like weekly CSV reports. The introduction of a comprehensive Ads Manager indicates OpenAI’s efforts to construct an infrastructure analogous to what we see in platforms like Google Ads or Meta.
Zoom In: I’m noticing more ads popping up inside ChatGPT, with brands such as Best Buy and Expedia being visible in early tests. The increase in ad inventory, combined with a sophisticated management interface, suggests a swift expansion in monetization endeavors.
What to Watch: As the Ads Manager continues to evolve, I’m looking forward to more refined targeting, reporting, and automation features. Initial feedback indicates there’s still room for growth here, especially concerning ChatGPT ads.
First Seen: Glenn Gabe was among the first to share glimpses of the ChatGPT ads manager interface on X.
I’ve got some exciting news about Google Ads: They’ve introduced something called App Consent Insights! This new feature aims to give us, the advertisers, a much clearer picture of how consent affects our app campaign performance.
What’s new? There’s this cool diagnostics view that breaks down consent data across various apps, platforms, regions, and traffic sources. It’s a game changer for understanding where we might have gaps in our setup.
Zoom in. I can now see an overall consent rating described as “Excellent,” “Good,” or “Poor.” Plus, there’s a live count of apps actively sending consented data and a detailed table that shows consent rates for conversions, including the differences between EEA and non-EEA users.
Why it matters to us. With privacy regulations getting stricter, consent isn’t just a compliance issue—it’s a critical factor for measurement and optimization. This update gives us more visibility into how consent setups could be holding back our performance.
Between the lines. Google is making it easier for us to measure and act on consent data at a time when signal loss significantly impacts campaign performance.
What to watch. We should start looking at optimizing not just for conversions, but also for improving consent rates as another lever of performance.
Bottom line. With better visibility into consent, we can achieve better data quality and ultimately, better campaign outcomes.
First seen. Google Ads expert Thomas Eccel first noticed this update on LinkedIn.
Every day, I notice how our attention becomes more fragmented as new information platforms emerge.
With entrants like AI search and proprietary spaces on social networks, we’re bombarded by noise from every direction.
In this deluge of information, trust is slipping, even in previously reliable sources like search engines and social media.
In times of uncertainty, we revert to the most timeless source of trust: other people. To be visible, I must appear across multiple platforms, especially those led by people.
Search is a trust experience
Rachel Botsman, a trust expert, defines trust as “a confident relationship with the unknown.” It’s the element we rely on when facing uncertainty.
As humans, I search for information when uncertain, relying on three layers of trust: self-trust, platform trust, and source trust.
The entire search process hinges on trust, and the most effective support comes from other humans.
An example of my own search journey to find a trusted answer
Recently, I decided to buy new shoes. My search began with AI tools, where I conducted low-trust research using ChatGPT and Claude.
Seeking high trust in pricing and delivery, I turned to Amazon for reviews and pricing, then to Google for deeper insights from Reddit and YouTube.
Bombarded by low-trust social media ads, I finalised my decision with high-trust recommendations from friends and a local running shop.
Search journeys now span dozens of platforms and sources
Research by Yext found that 75% of consumers use more platforms now than a year ago, but only 10% trust the first result. Reflecting on my 65-source journey, most were people-led, matching a trend in professional decision-making.
The 2026 Edelman Trust Barometer reinforces that amidst rising uncertainty, people seek advice from those they trust most.
So how do you turn trust into visibility?
To influence someone’s search journey, I aim to appear on all information-searching platforms and in as many people-led sources as possible.
Start by earning mentions in people-led spaces and build genuine trust. This naturally leads to visibility on major platforms.
For instance, Adidas Terrex was visible at every touchpoint in my journey, reflecting its active engagement and trust-building with consumers.
Through events and community initiatives, Adidas fosters engagement, enhancing visibility through hashtags and social platform mentions.
Where to go to earn people’s trust
Building relationships lays the foundation for trust. I start by engaging in communities, events, social media, and forums where genuine conversations occur.
Select places with active, two-way communication where you can authentically connect and build a trustworthy presence.
How to engage in trust-building spaces
The priority is helping, not selling. I listen first to understand what people need, then engage meaningfully to build trust.
Start by listening, not talking
Before jumping in, I learn what ‘helpful’ means in the specific space and identify how I can support the community’s needs.
Engage to build trust
Building trust takes time and involves personalized interactions and consistent presence as a genuine individual, not as a brand representative.
Turn conversations into scalable trust
Using insights from personal interactions, I create scalable assets that support people’s aspirations, reinforcing trust on a larger scale.
For example, a guest-posting program for professionals looking to amplify their personal brand can be a powerful tool for fostering trust.
What does this actually look like in action?
In my journey from marketing to community building, I experienced firsthand how focusing on helping rather than selling leads to building trust and achieving visibility.
By listening and engaging with genuine support, an SEO SaaS partner grew visibility in our community, resulting in substantial business impact.
Building trust is a long-term visibility bet
Trust persists as a critical factor in information seeking. By embedding trust-building into my business strategies, I ensure lasting visibility across current and future platforms.
Remember, prioritizing trust preserves visibility beyond algorithms, creating enduring presence in an ever-evolving digital landscape.
Recently, I discovered that Google has made some significant changes to how it paces budgets for Google Ads campaigns with ad schedules. The company is now ensuring that it uses the full monthly budget, even if the ads are not running every day.
What’s Changing Starting June 1, campaigns will pace toward spending the entire monthly budget limit (30.4 times the daily budget) regardless of the ad schedule. Previously, the pacing was dependent on how many days ads were active.
What’s Not Changing Things such as daily and monthly spending caps remain untouched. Campaigns will still not exceed double the daily budget in one day or 30.4 times the daily budget over the course of a month, ensuring ads won’t run on disabled days.
Why It Matters Advertisers who utilize limited schedules, like running ads only on weekdays or during specific hours, might notice accelerated spending. Google is now determined to reach the entire monthly budget, rather than scaling back on days ads can run.
Zoom In This modification means that campaigns with fewer service days could see a more aggressive spend on those active days. For instance, if ads only run for half the month, Google can still spend up to the daily maximum each day without needing to economize elsewhere, all the while staying within the monthly cap.
Between The Lines This approach appears to prioritize maximizing budget utilization over evenly distributing spend, giving Google’s systems enhanced flexibility to capture demand when campaigns are active.
What To Watch If you have tight schedules, you may need to reconsider your budget allocations and performance expectations, as spending could be more concentrated on active days.
Bottom Line Budget pacing is shifting focus from when ads are posted to ensuring the budget is fully utilized each month.
First Seen Several advertisers hinted at receiving communications from Google regarding this, but Google Ads Coach Jyll Saskin Gales provided more clarification through LinkedIn.
Have you ever wondered how AI manages to stay grounded in reality? As I delve into the fascinating world of LLM grounding, I uncover how AI models maintain their accuracy, and why this is crucial for your brand’s visibility and success across platforms like ChatGPT and Gemini.
Understanding how AI functions in this way is not just about technical curiosity; it’s about knowing how to leverage these tools to enhance your brand’s presence and credibility online. Join me as I explore the role of LLM grounding in shaping AI’s effectiveness and reliability.
