The question agencies hear most in 2026 is not whether to invest in AI search — it is how much. Forrester’s 2026 Budget Planning Guide for B2B Marketing Executives recommends reallocating at least 15% of content or digital spend to improve AI search visibility. But the split between traditional SEO and AI search depends on the client’s business goals, competitive position, and current visibility.
This is part of the broader comparison of AI search vs traditional search and our complete guide to AI visibility tracking.
Why Budgets Need to Shift
The data behind the reallocation is clear. 80% of consumers now rely on AI summaries for at least 40% of their searches, reducing traditional website clicks by up to 25%. Companies without an AI visibility strategy are seeing double-digit traffic decreases from search engines. Meanwhile, AI search visitors convert at 4.4x the rate of traditional organic visitors — the per-visitor value is significantly higher even though the volume is smaller.
Paid media currently absorbs 30.6% of marketing budgets, but AI engines do not cite paid content. The highest-spend channel is structurally excluded from the research layer buyers now use. This creates a misalignment between where budget goes and where buyers actually discover brands.
The Budget Allocation Framework
A practical model for most agency clients allocates budget across three tiers:
| Budget Tier | Allocation | What It Covers |
|---|---|---|
| Foundation (Traditional SEO) | 40–50% | Technical SEO, on-page optimization, keyword targeting, link building, Core Web Vitals |
| Growth Assets | 30–40% | Content production, earned media/PR, thought leadership, community engagement |
| AI Visibility | 10–20% | Content restructuring for AI extraction, schema markup, AI crawler access, citation monitoring, expert profile optimization |
This is not a rewrite of the entire budget. It is a reallocation within existing digital spend. Most mid-market companies can begin with 10–15% reallocation without requiring additional headcount.
Adjust by Client Goal
The split changes based on what the client is trying to achieve:
Driving immediate sales from existing products — Allocate 70% to traditional SEO on commercial pages and 30% to answer engine optimization for “best X” and comparison queries. AI visibility investment is lower because the payoff timeline is longer.
Building long-term brand authority — Allocate 60% to AI search optimization (deep, authoritative content) and 40% to traditional SEO for foundational visibility. This is the long game — investing in the content and brand signals that make AI engines cite you as a category authority.
Launching a new product or category — Allocate 50% to AI search optimization, 30% to traditional SEO, and 20% to AEO. The balanced approach uses AI content to answer foundational buyer questions, traditional SEO to build page authority, and AEO to capture early question-based queries.
Adjust by Market Position
Established market leader — Invest heavily in AI search optimization to defend your position in the next generation of search results. Your existing authority gives you a head start in AI visibility.
Challenger brand — Use AEO to surgically target long-tail question queries competitors ignore, and traditional SEO to build authority on a focused set of core terms where you can compete. AI visibility becomes a flanking strategy.
What the AI Visibility Budget Covers
Forrester’s recommendation of 15% reallocation specifically covers modular content, schema markup, and expert profile optimization. But the most impactful investment within that allocation is earned media — third-party editorial coverage in credible publications.
Research consistently shows that earned media drives the significant majority of AI citations. Technical SEO makes content retrievable. Earned media makes it authoritative enough to cite. Forrester projects that 75% of enterprise B2B companies will increase budgets for influencer and expert relations in 2026 as AI systems become key gatekeepers for research.
The AI visibility budget breaks down into:
- Content restructuring (20–30% of AI budget) — Reformatting existing content for AI extraction: answer-first structure, clear definitions, comparison tables, FAQ sections
- Schema and technical access (15–20%) — Implementing schema markup, configuring AI crawler access, llms.txt, SSR for JS-heavy sites
- Earned media and PR (30–40%) — The largest allocation — editorial placements that build the brand-topic associations AI engines weight during citation selection
- Measurement and tracking (10–15%) — AI citation monitoring, competitive share of voice, brand search lift analysis
Measuring the Investment
Traditional SEO ROI tracks rankings, clicks, and conversions. AI search ROI tracks different metrics: citation frequency, competitive share of voice, brand search volume lift, and conversion quality from AI-referred traffic.
Platforms like PhantomRank provide the measurement layer for the AI visibility allocation — tracking whether citation frequency improves as investments are made, identifying competitive gaps, and quantifying share of voice trends that justify continued budget allocation. Without measurement, the AI visibility budget is indefensible at client review.
Present budgets as complementary, not competitive. Traditional SEO feeds AI citations — strong Google rankings make content more retrievable for AI engines. AI visibility drives brand awareness that lifts branded search volume in Google. Every dollar works across both channels when the strategy is integrated.
For the broader discipline, explore our complete guide to AI visibility tracking.