Frequently Asked Questions

No. At the moment it only shows impressions. Clicks from AI features are still counted in the overall search performance numbers but are not broken out separately.

It is still rolling out. Some properties also won’t see it until they have enough generative AI impressions.

Yes. The pages that already appear in the report are useful models for structure, clarity, and extractability.

In almost all cases, no. Most brands benefit from being visible inside AI answers.

No. Only campaigns currently using Automatically Created Assets or the campaign-level broad match setting are included in this wave.

DSA has been delayed. Automatic migration for DSA is now scheduled for February 2027.

You will still have controls inside AI Max, but the legacy settings themselves are being retired. It’s better to prepare the account properly before the change.

Yes, if you want more control over the transition and a clearer performance baseline.

No. It is changing the work. Routine tasks are being automated, while strategy, creativity, and judgment remain human strengths.

Speed and personalization at scale, when paired with solid data and clear goals.

Yes. Many AI tools are accessible via SaaS platforms. The advantage goes to teams that use them intentionally, not just those with the biggest budgets.

Start with clean conversion tracking, strong content foundations, and one or two high-impact use cases (such as personalization or paid media optimization) before expanding.

No. It is an optimization layer you enable on existing Search campaigns.

Certain settings (Automatically Created Assets and campaign-level broad match) begin auto-upgrading in September 2026. Dynamic Search Ads have a later window. You still retain controls after the upgrade.

Google’s published figures typically range from about 7% (when adding text customization and URL expansion on top of search term matching) to higher numbers in some earlier benchmarks. Real results vary significantly by account quality, industry, and how well the foundations are set.

Yes. AI Max expands beyond them; it does not remove your existing keyword structure.

Only if you have strong brand or compliance reasons. In most cases the combination of matching + customized text + relevant landing pages performs better than matching alone.

No, but they are becoming much more prominent for many queries.

Yes, but it must evolve. Focus on user intent, content quality, and technical excellence.

Search your target keywords and see if your site is cited or summarized in the AI answer.

Yes, especially for informational and commercial queries. Early movers are seeing better visibility.

Using the wrong primary conversion action and having duplicate tracking are currently two of the most frequent issues we see.

Not necessarily. You can often fix tracking and negative keywords without pausing campaigns. Just monitor performance closely after changes.

At minimum once per week for active campaigns. High-spend accounts should review more frequently.

It’s better to fix the foundation first, then test AI Max. Otherwise, you risk feeding the algorithm bad data.

It is an AI-powered search experience that provides direct answers and recommendations instead of just showing traditional search results.

Not completely, but it is becoming a major part of the search experience, especially for many commercial and informational queries.

It can reduce clicks on traditional ads while increasing the importance of ad quality, relevance, and landing page experience.

Not necessarily. A balanced approach that includes both traditional search and AI-powered campaigns is often smarter in the short term.

Focus on high-quality creatives, strong landing pages, clean first-party data, and testing AI Max campaigns.

It is the consent signal that controls whether Google can use cookies and identifiers for advertising and personalization purposes.

It primarily affects accounts that are linked to GA4 and using Consent Mode. Most active advertiser accounts are impacted.

Yes. Make sure your banner is set up to properly grant ad_storage consent when users accept marketing cookies.

Better consent management leads to cleaner first-party data, which helps improve performance in Google’s AI-powered advertising and search features.

You should prioritize reviewing your setups within the next week or two, especially if you manage multiple client accounts.

When users get full answers from AI engines like ChatGPT, Gemini, and Perplexity without ever clicking through to a website.

No. Traditional SEO is evolving. GEO and AEO are now the required layer on top of SEO to stay visible in AI answers.

Stop optimizing only for clicks. Start optimizing to be the source AI engines cite by using answer-first content, multimodal media, and schema.

Yes, it’s one of the biggest advantages right now. It makes video, images, and audio far more citable in AI answers.

Most DEVMA clients see measurable citation growth and lead increases within 30–45 days when following the full playbook.

Absolutely. We’ve delivered strong results for businesses of all sizes, the playbook scales from startups to enterprise.

Yes, book our free AI Visibility Audit. We’ll scan your site and show your current citation score plus a custom 90-day roadmap in 24 hours.

They turn AI answers directly into bookings, consultations, and leads by capturing intent and guiding users to action without ever leaving the AI platform.

Yes. We combine GEO/AEO with paid ads for maximum control and faster ROI while building organic AI visibility.

Ecommerce, hospitality, legal, professional services, and any high-intent B2B or B2C niche where people ask specific questions.

We don’t just write about GEO/AEO, we build the full technical stack (websites, schema, video optimization, AI agents) and guarantee results inside our retainers.

Google’s first natively multimodal embedding model released March 10, 2026. It maps text, images, video, audio and PDFs into one single vector space for seamless retrieval and classification.

Video is no longer separate. The model processes up to 120 seconds of video natively alongside text and up to 6 images, creating richer embeddings that AI engines love to cite.

No. Add transcripts, timestamps, and 3–6 keyframe images to existing pages, that’s enough to trigger the multimodal boost.

Absolutely. We’ve delivered 3× citation lifts for brands under $500K revenue using the exact playbook above.

Most clients see measurable citation growth within 45 days when combined with our monthly retainer updates.

Traditional SEO chases clicks. GEO with Gemini Embedding 2 chases citations in AI answers, even when users never visit your site.

Yes, the playbook is universal because all major engines now pull from similar multimodal indexes.

No. Our team handles schema, transcripts, and dashboard setup, you just approve the strategy.

Yes, book our free AI Visibility Audit. We’ll run your current videos through our Gemini-level scanner and deliver a custom 90-day roadmap in 24 hours.

AI enables real-time personalization, predictive analytics, and automation, making marketing more relevant, efficient, and scalable.

SEO now requires content optimized for AI-powered search engines and voice interfaces. Semantic relevance, question-answer formatting, and generative engine optimization (GEO) are key.

Yes. Many AI tools are accessible to SMBs through SaaS platforms or digital agencies. Even basic use, like AI content writing or automated email flows, can deliver major gains.

Risks include data privacy concerns, algorithmic bias, loss of brand voice in automation, and over-reliance on “black box” decisions. Human oversight is critical.

Start by identifying quick wins, like automating email workflows or improving targeting in paid ads, then gradually integrate AI into SEO, content, and analytics with expert guidance.

AI assists in idea generation, drafting, optimization, and testing. It augments writers rather than replacing them, accelerating production while keeping quality high.

Look at metrics like improved CTR, lower CPA, faster content production, increased lead conversion, and higher customer retention. AI should enhance both efficiency and outcomes.