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AI Search 13 min read

AI Search Strategy in 2026: What 12 Experts Think Brands Should Focus On

We asked 12 leading SEO and marketing experts for their AI search priorities for 2026. Here's a synthesis of their advice — with the key areas of agreement and debate.

PN

Priya Nair

February 8, 2026

Key Themes from 12 Expert Interviews

We interviewed 12 practitioners — SEO directors, growth leaders, and AI search researchers — and identified five recurring strategic themes for 2026.

Theme 1: Third-Party Signals Beat On-Site Optimization

Consensus view: 9 of 12 experts ranked third-party citation sources (G2, Reddit, Wikipedia, press) as their top investment priority for AI search. The reasoning: AI platforms treat third-party signals as more trustworthy than self-published content. Getting featured in a 'best tools' roundup on a major publication matters more than rewriting your homepage.

'If I had one budget item for AI search, it would be a systematic review generation campaign on G2 and Capterra.' — Head of Growth, Series B SaaS

Theme 2: Schema Markup Is Still Underutilized

Despite being a top GEO recommendation for 2+ years, only 41% of SaaS brands have complete Organization schema. Experts repeatedly flagged this gap: 'The ROI on schema markup for AI visibility is the highest of any tactic — and it takes less than a day to implement correctly.'

Full Organization + FAQPage + Article schema across all relevant pages remains the top technical priority for most brands.

Theme 3: Measurement Is the Biggest Gap

8 of 12 experts cited measurement as the biggest operational challenge for AI search. 'Most marketing teams are still reporting on Google impressions and rankings. They have no idea what their ChatGPT citation rate is, who their AI search competitors are, or whether their investments are working.'

Building a citation tracking program was the most frequently recommended first step for brands new to AI search optimization.

Theme 4: AI Search and Traditional SEO Are Converging

There's growing consensus that AI search and traditional SEO are converging around the same quality signals. Brands that invest in genuine topical authority, strong E-E-A-T, and schema markup win on both Google and AI platforms simultaneously. The days of AI search being a separate discipline are numbered.

Theme 5: Brand Reputation in AI Is a Board-Level Issue

Several experts noted that AI brand reputation has moved up the priority stack. 'Your brand being described negatively or inaccurately by ChatGPT is a board-level reputation issue, not just an SEO problem. We've had clients discover ChatGPT was recommending their competitors as better alternatives — that's a revenue issue, not a technical SEO issue.'

Frequently Asked Questions

What's the single most important action for AI search in 2026?

The consensus from our expert interviews: implement complete Organization schema and start tracking your citation rate. These two actions give you the foundation and the measurement system to build from. Most brands haven't done either correctly.

How much budget should we allocate to AI search vs. traditional SEO?

Expert opinions varied, but the emerging consensus was 30–40% of SEO/content budget toward AI-specific optimization (review generation, entity building, schema) for brands with existing SEO maturity. For brands starting from scratch, build SEO fundamentals first — they compound across both platforms.

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