Occupation score change
IMPACT 10market research analyst exposure increased 1.0 points
AI Exposure Score moved from a previous calculation to 51/100 under methodology v1.0. 3 evidence item(s) contributed.
Search Marketing Strategists
Category: Business & financial · SOC 13-1161.01 · Industry: Sales & marketing
51/100
increased by +1.0 vs last
Moderate exposure
3 Oct 2026
19 hours ago · sources: BLS OES (approx) · O*NET
3 sources
36 core tasks shown · 13 secondary hidden
Search Marketing Strategists High exposure: 26 of 36 core tasks show high task automation potential : exposure 51/100 (moderate exposure).
No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.
Score breakdown
Why this score?
Every component is stored with the score row and can be recomputed from the evidence table.
AI Exposure (composite)51/100
Methodology 2026-09-a · score v1.0 · input hash 1eaef3c8b6356932
AI capability exposure78/100
Strength of current models on the capabilities this job's tasks require.
Task automation potential73/100
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Observed AI adoption0/100
Evidence that AI is actually being used for this work.
Labour-market signal0/100
Observed changes in postings, employment or earnings.
Evidence strength55/100
Quantity and source quality of the evidence behind the score.
3 evidence item(s) contribute. Calculated 19 hours ago. 3 Oct 2026 UTC.
Overview
Employ search marketing tactics to increase visibility and engagement with content, products, or services in Internet-enabled devices or interfaces. Examine search query behaviors on general or specialty search engines or other Internet-based content. Analyze research, data, or technology to understand user intent and measure outcomes for ongoing optimization.
Employment
≈800,000
approx. BLS OES
Median wage
≈$74,000
approx. BLS OES
Tasks tracked
49
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Task-level automation exposure
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 4.5/5
core task · importance 4.5/5
core task · importance 4.5/5
core task · importance 4.5/5
core task · importance 4.3/5
core task · importance 4.3/5
core task · importance 4.2/5
core task · importance 4.2/5
core task · importance 4.1/5
core task · importance 4.1/5
core task · importance 4.1/5
core task · importance 4.1/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.9/5
core task · importance 3.8/5
core task · importance 3.7/5
core task · importance 3.7/5
core task · importance 3.6/5
core task · importance 3.6/5
core task · importance 3.5/5
core task · importance 3.5/5
core task · importance 3.5/5
core task · importance 3.5/5
core task · importance 3.4/5
core task · importance 3.4/5
core task · importance 3.4/5
core task · importance 3.4/5
core task · importance 3.3/5
core task · importance 3.2/5
core task · importance 3.1/5
core task · importance 3.1/5
core task · importance 3.1/5
core task · importance 3/5
Evidence
Evidence trail
3 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
- researchneutralconfidence 90/100 · magnitude 5518 Sept 2023
In a field experiment with 758 consultants, GPT-4 users completed about 12% more tasks, about 25% faster, with about 40% higher quality on tasks within the model's capability frontier — but were about 19 percentage points more likely to produce incorrect answers on tasks outside that frontier.
The clearest published statement of the 'jagged frontier' problem: measured gains depend entirely on whether the task is inside the model's competence. This is why this site scores tasks rather than whole occupations and keeps capability separate from adoption.
Source: Dell'Acqua et al. — Navigating the Jagged Technological Frontier (Harvard Business School Working Paper 24-013) · Updated 18 Sept 2023
- researchincreasesconfidence 82/100 · magnitude 7424 Aug 2023
Using O*NET task descriptions scored by GPT-4, the authors estimate that about 80% of the US workforce could have at least 10% of their tasks affected by large language models, and about 19% could see at least 50% of their tasks affected.
This is a *capability and exposure* estimate produced by having a model rate task descriptions — not a measurement of employment change. It is the most-cited exposure figure in the field and is included here as an exposure input, weighted accordingly.
Source: Eloundou, Manning, Mishkin & Rock — GPTs are GPTs (arXiv:2303.10130) · Updated 24 Aug 2023
- researchincreasesconfidence 70/100 · magnitude 5614 Jan 2024
Using an AI exposure index, the IMF estimates that around 40% of global employment and around 60% of employment in advanced economies is exposed to AI, with exposure concentrated in high-skill occupations.
A projection-based exposure estimate across countries. It is a scenario measure, not an observed outcome, and is weighted as such in this index.
Source: IMF — Gen-AI: Artificial Intelligence and the Future of Work · Updated 14 Jan 2024
Historical trend
Exposure over time
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
Reconstruction, not measurement. 5 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
- Research publishedIMPACT 56
About 40% of global employment is exposed to AI, 60% in advanced economies
Using an AI exposure index, the IMF estimates that around 40% of global employment and around 60% of employment in advanced economies is exposed to AI, with exposure concentrated in high-skill occupations.
- Research published
Consultants performed better inside the AI frontier and worse outside it
In a field experiment with 758 consultants, GPT-4 users completed about 12% more tasks, about 25% faster, with about 40% higher quality on tasks within the model's capability frontier — but were about 19 percentage points more likely to produce incorrect answers on tasks outside that frontier.
- Research publishedIMPACT 20
Anthropic partners with BCG
Anthropic and Boston Consulting Group partner to bring Claude to BCG's enterprise clients for knowledge management and data analysis.
- Research publishedIMPACT 74
LLMs affect at least 10% of tasks for about 80% of US workers
Using O*NET task descriptions scored by GPT-4, the authors estimate that about 80% of the US workforce could have at least 10% of their tasks affected by large language models, and about 19% could see at least 50% of their tasks affected.
Related
Related Occupations
Occupations sharing major SOC group (13) with Search Marketing Strategists.
faq
Frequently Asked Questions
Common questions regarding Search Marketing Strategists and AI exposure.
Will AI replace Search Marketing Strategists?
Current AI models show an exposure score of 51/100 for Search Marketing Strategists. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
Which tasks in Search Marketing Strategists have the highest AI exposure?
The most exposed tasks for Search Marketing Strategists include "Optimize shopping cart experience or Web site conversion rates against Key Performance Indicators (KPIs)." (85% exposure) and "Improve search-related activities through ongoing analysis, experimentation, or optimization tests, using A/B or multiv…" (85% exposure).
What aspects of Search Marketing Strategists can AI not do yet?
Tasks with the lowest AI exposure for Search Marketing Strategists include "Direct trained survey interviewers." (15% exposure) and "Communicate and collaborate with merchants, Webmasters, bloggers, or online editors to strategically place hyperlinks." (15% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.