Last updated August 2026
The AEO Playbook: How to Get Cited and Stay Visible
Conductor walked through a webinar recap on answer engine optimization, arguing that traffic is no longer the right success metric because AI crawlers now visit sites thousands of times while sending back little or no traffic. The average AI prompt runs about 23 words versus three to four for a typical Google keyword, which means brands need a custom prompt index rather than a traditional keyword list. Presenters said YouTube is the most cited site across major LLMs and that a Reddit citation signals the LLM found no better source, an opening for brands willing to publish a stronger answer. They also noted backlinks carry little weight for AI visibility even though they still matter for traditional search. Marketers should build reporting around citation and recommendation quality instead of session counts, and prioritize content freshness and technical accessibility over link building.
AI Update: A Full Week of AI News, From Price Wars to Google’s Leadership Shake-Up
This week’s roundup covers a broad sweep of AI developments relevant to marketers: falling model prices from DeepSeek, OpenAI, and Google are making sophisticated AI content and automation cheaper and more interchangeable across vendors; the EU has begun enforcing AI Act transparency and watermarking rules; and the IAB introduced a four-part framework (Presence, Prominence, Portrayal, Persuasion) for measuring brand visibility in AI search. Shopify reported that AI-referred traffic and orders tripled year over year for its merchants, while a federal appeals court cleared the way for Perplexity’s shopping assistant to keep accessing Amazon. The digest also flags a wave of brand-safety and security concerns, including Meta removing AI-generated abusive ads and Anthropic disclosing that AI models briefly accessed real company systems during security testing. For marketers, the throughline is that AI governance, provenance, and measurement are moving from optional to expected.
How SEO and PPC Build Trust Across Search: A 26-Week Case Study
An education SaaS company coordinated SEO, PPC, digital PR, and reputation efforts over 26 weeks and tracked the combined effect on buyer trust. Organic position for core commercial keywords improved from 15.2 to 9.7, paid CPA dropped from $146 to $121 after content gaps were closed, and AI Overview citation frequency across 42 priority queries rose from about 5 percent to 31 percent. A negative Reddit thread ranking for branded searches dropped from the No. 4 spot to No. 11 after a coordinated review, PR, and video campaign. The case study’s takeaway is a “trust accumulation” framework that treats organic, paid, reviews, and third-party mentions as one connected buyer journey rather than separate channel reports. For experienced marketers, it’s a useful model for justifying cross-team budget and reporting that blends SEO, PPC, and reputation work.
Kroger’s New AI Shopping Assistant Launches With Ads Built In
Kroger launched an AI shopping assistant, built with grocery AI platform Cooklist, across most of its store banners’ websites and apps, and unlike competitors it included sponsored product listing ads from day one rather than adding them later. Walmart, by comparison, waited about a year after launching its Sparky assistant before introducing ads. The sponsored listings appear alongside organic recommendations when shoppers ask the assistant to build a list or plan a meal, and brands with existing product listing campaigns require no additional setup to show up. This signals that retail media is becoming a default feature of AI shopping tools rather than a later monetization layer, and advertisers running retail media budgets should ask retail partners how and when AI assistant placements will be measured and reported separately from traditional search and display placements.
OpenAI Brings Product Carousels to ChatGPT Ads Ahead of Holiday Season
OpenAI has started showing product carousels in ChatGPT ads, letting several items from a single retailer’s product feed appear in one sponsored placement beneath a conversation, similar in concept to a Google Shopping unit. ChatGPT’s ad system, not the advertiser, decides whether a query surfaces the new carousel or the single-product format that has run since ads launched roughly five months ago. The rollout follows bulk product-feed campaign tools OpenAI introduced three months earlier and arrives ahead of Q4, with OpenAI reportedly targeting around $2.5 billion in ad revenue for 2026. eCommerce marketers already running Google Shopping feeds should treat their product feed data as a reusable asset and start testing ChatGPT product feed campaigns now, before holiday budgets and competition for placements increase.
Google Tests Clickable Hyperlinks Inside Search Ad Descriptions
A PPC marketer spotted Google testing a Search ads format that turns selected words or phrases within an ad’s description into clickable hyperlinks, all pointing to the same landing page as the main headline. Google has not confirmed how broadly the test is running or whether the linked text is chosen dynamically based on search intent, and the feature cannot yet be replicated or controlled by advertisers. It follows earlier Google Ads tests with “learn more” and “read more” links inside ad units. If it expands, the format could add another clickable entry point that nudges click-through rate without any extra work from advertisers, but because it is an unconfirmed, limited-visibility test, PPC managers should not build assumptions or forecasts around it yet.
Google Reshuffles AI Leadership as Demis Hassabis Steps Back and Jeff Dean Departs
Demis Hassabis is giving up his role as CEO of Google DeepMind to become the unit’s chairman and Alphabet’s chief scientist, while Koray Kavukcuoglu, DeepMind’s CTO, takes over daily operations as senior vice president reporting directly to Sundar Pichai. On the same day, 27-year Google veteran and chief scientist Jeff Dean announced he is leaving to co-found Discovery Loop, a new company focused on automating scientific and machine learning research, with Alphabet investing and providing cloud infrastructure. Alphabet shares fell roughly 5 percent on the news, and reporting tied the moves partly to internal pressure over a delayed Gemini 3.5 Pro release and morale concerns at DeepMind. For marketers, leadership instability at a top AI lab is worth watching as a signal of how quickly Google’s Gemini roadmap, and by extension AI Overviews and AI Mode, may shift in the months ahead.
Reputation Management Now Includes What AI Says About Your Brand
Gini Dietrich lays out why AI-generated answers about a brand now belong in reputation management, using Minnesota solar company Wolf River Electric as the cautionary example: a Google AI Overview invented a nonexistent lawsuit against the company, one customer canceled a $150,000 contract over it, and Wolf River is now suing Google for up to $210 million while Google argues it isn’t liable for what its own AI wrote. Muck Rack research cited in the piece found 73% of PR professionals see AI search visibility as the next frontier, yet 29% say no one at their organization owns it and 39% aren’t measuring it at all. Other cited research found AI-referred retail traffic grew 393% year over year and now converts 42% better than other traffic, while separate studies found roughly 31% of ChatGPT citations contained fabricated or misattributed information. The piece recommends a quarterly audit of what AI models say about a brand, a current and consistent source-of-truth published on owned properties, and a named owner with an escalation path for when the models get it wrong.