SEO in the Age of AI Search: What Still Works and What Doesn't

More than 1 in 4 Google searches now show AI-generated answers. When those answers appear, 83% of searches end without a single click to any website. Organic traffic that took years to build is shrinking, and the cause is not another algorithm update. The structure of search has changed for good. Traditional SEO strategies no longer match how most people search. Gravitate CEO Don Elliott is joining NextNW on April 7th to break down what this means for marketers. This post previews the five key questions he will address.

AI Search Is No Longer Coming. It Is Here.

Organic clicks fell 23% across major verticals in 2025 while paid search volume doubled. AI answers are handling the informational queries that once drove free organic traffic. Marketers who rely on organic traffic alone are already falling behind. The visitors who do arrive through AI-referred links are more valuable. AI-referred traffic converts 2 to 6 times higher than standard organic traffic. The challenge is earning those AI citations in the first place. GEO, or Generative Engine Optimization, is the practice of optimizing content for AI citation. GEO shifts the goal from ranking in search results to earning a mention inside AI-generated answers. Don Elliott has navigated every major shift in search over 25 years at Gravitate. His work at Gravitate puts GEO at the center of every search strategy the agency runs today.

What SEO Fundamentals Still Matter in an AI-First World?

The core signals of good SEO still matter in the AI search era. But AI systems set a higher bar before they will cite your content. Google and AI tools both evaluate content using E-E-A-T signals: Experience, Expertise, Authority, and Trust. Author credentials, published citations, and update frequency all feed into that score. Structured data ranks among the most actionable technical moves available right now. Content using proper structured data sees 73% higher AI selection rates than content without it. Brand search volume is the single strongest predictor of AI citation. Its correlation with AI citations, at 0.334, outranks even backlinks as a signal. AI systems also prioritize semantic clarity over keyword density in the content itself. Don will break down the full technical picture during the April 7 webinar. The short version: structure your content for AI to read, understand, and cite.

What Should Organizations Do Right Now to Appear in AI Answers?

Most organizations can start improving AI visibility with three concrete moves. Each step builds on what your team likely already has in place.

1. Add structured data to your key pages. JSON-LD schema marks up your content in a format AI systems can read and cite. Start with your most important product, service, and FAQ pages.
2. Create content in multiple formats. Pages combining text, images, video, and structured data earn 156% higher AI selection rates than text-only pages. Cover your core topics across every format your team can manage.
3. Build brand search volume on purpose. Invest in awareness campaigns that get people searching your company by name. AI systems weigh brand search as one of their strongest citation signals.

47% of brands still have no GEO strategy at all. That gap is an opportunity for the organizations that move first. Don will walk through his full GEO audit framework during the webinar. Register for the April 7 NextNW webinar. NextNW members attend for free, and general admission is $15.

How Should Content Strategy Change for AI-Driven Discovery?

Content strategy needs to shift from a ranking goal to a citation goal. AI systems pull from pages that give clear, complete answers to user questions. Start by mapping your existing content to the questions your audience asks AI tools. Then, audit each page to ensure it answers those questions within the first 50 words. Text-only pages consistently underperform against pages that mix formats. The multi-format advantage noted above also applies to your broader content strategy. Pages that go stale lose AI citations fast. AI systems favor fresh, updated content over pages with outdated statistics or old publication dates. YouTube videos, LinkedIn posts, and third-party mentions create additional citation paths. AI systems draw citations from across the web, not only from your main domain. The target is not only a first-page ranking. It is earning a spot inside the AI answer itself. Knowing whether you earned that requires new measurements.

What Metrics Should You Track in the AI Search Era?

Traditional ranking reports and organic traffic dashboards no longer tell the full story. The AI search era demands new metrics tied to citation and visibility. AI citation tracking monitors whether your brand appears in AI-generated answers. Track this across ChatGPT, Perplexity, and Google AI Overviews at a minimum. LLM recommendation share measures how often AI tools recommend your brand versus competitors. LLM consistency tracks how reliably AI recommends you across different platforms and queries. The business case for tracking these metrics is clear. Brands cited in AI Overviews earn 35% more organic clicks. Those same brands also earn 91% more paid clicks than brands without AI citations. These metrics are still emerging and not fully standardized across all platforms. But the brands that start tracking them now will have a real advantage in 12 months.

What SEO Tactics Are Fading and What Should You Drop?

Some tactics that drove search results two years ago now hurt AI visibility. The evidence is clear on what to leave behind. Keyword stuffing actively hurts rankings in AI-powered search. AI systems understand semantic context and penalize unnatural keyword density. Thin content gets filtered out of AI citations. Unedited AI-generated drafts face the same credibility problem as thin content. Exact-match keyword targeting no longer drives the results it once did. Semantic relevance and clear intent alignment outperform keyword matching in AI search. These tactics served marketers well during the keyword era of search. The rules changed when AI replaced traditional search results with AI-generated answers. Don has seen this kind of shift before and knows how to navigate it.

See Where Your GEO Strategy Stands Today

The Gravitate team built a free 35-point GEO Audit Checklist. It covers the signals that drive AI citations. Download it and benchmark your content against the same framework used in our paid GEO Readiness Audits.

Download the Free GEO Audit Checklist

Meet Don Elliott at the April 7 NextNW Webinar

Don Elliott is the CEO of Gravitate, a digital marketing agency with 25 years of search expertise. He has worked with brands of all sizes to build visibility in both traditional and AI-powered search.

The marketers who adapt to AI search now will not play catch-up in 2026. Don is one of the clearest voices available on this topic.

Join Don for a one-hour virtual webinar hosted by NextNW on April 7 from 12:00pm-1:00pm PT. NextNW members attend at no cost, and general admission is $15.

Register for the Webinar: SEO in the Age of AI Search

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