AI Content Strategy Consulting: AI-integrated content strategy from operators who have done the work

Our ai content strategy consulting brings operator-level judgment to your content and your roadmap. Editorial workflows, generative-AI tooling, AI-visibility PR, and content programs that compound. Senior operators who have run AI marketing at McDonald's, AbbVie, Humana, and Abbott Labs.

Talk to an AI content operator

Our ai content strategy consulting brings operator-level judgment to your content and your roadmap

Why brands engage us for AI content strategy

Operators who have shipped AI at enterprise scale

Akash Pathak led AI for personalization at McDonald's (fueling mobile commerce from launch to over $1bn in topline sales), AI-driven channel conversion at Humana (15-percent ad-cost savings while increasing conversion), and AI training for 60-plus executives at Abbott Labs. He's an Adjunct Professor at Northwestern on AI marketing transformation.

AI tooling in the content workflow, not just the strategy deck

Jonathan Nail integrates ChatGPT and adjacent AI tools into CRM workflows for clients including Beautycounter, Driven Brands, and WorldRemit. Stephanie Driscoll specializes in earning AI visibility (GEO and AEO) through editorial PR that surfaces brands in generative search results.

Data-science depth for content measurement and personalization

Vu Pham has spent over a decade building data warehouses, automated dashboards, and machine-learning models for marketing agencies and brands. Recent work includes predictive models for online-ad bidding (AdWeek 2019 Media Plan of the Year). He's taught data science at General Assembly Atlanta.

What AI content strategy actually requires in 2026

Most brands that come to our AI content strategy consulting have already tried prompting ChatGPT to write a blog post and watched search performance flatline. AI content strategy is no longer about whether to use the tools; it is about the editorial system that surrounds them. Three layers compound, and brands that get all three right pull away from competitors who get only one.

Layer one: the editorial workflow

Where AI tools fit inside content production, where human judgment stays load-bearing, how the brand-voice signal survives generative-AI dilution, and how output volume gets traded against quality without erasing the brand.

Layer two: AI-visibility (GEO and AEO)

Generative search engines (ChatGPT, Perplexity, Google AI Overviews) are an emerging discovery channel. The optimization motion is closer to editorial PR than to traditional SEO. Stephanie Driscoll's recent work focuses specifically on aligning brand narratives with the cultural and industry conversations that generative engines lift into their answers, which means brands earn visibility through trust signals more than through keyword targeting.

Layer three: content measurement and personalization

Content programs without measurement underperform predictably. Vu Pham's work has included content-recommendation engines for retail clients (CloudTags for Harvey Nichols, made.com, Sub-Zero/Wolf) and the data infrastructure that makes content personalization a real product capability instead of a slide. Akash Pathak's pre-Chameleon work at McDonald's involved AI personalization that built a $1bn mobile commerce engine.

How engagements get sequenced

Engagements typically open with a 30-day editorial audit: content inventory, AI-readiness assessment, GEO/AEO baseline, and an actionable 100-day plan. From there, the work splits across interim leadership, recruiting for the permanent content hire, and execution sprints.

What our AI content engagements cover

Our AI content strategy consulting covers editorial workflow design with AI tooling. Prompt libraries, content QA, brand-voice fingerprinting, and the human-in-the-loop checkpoints that protect quality at speed.
GEO and AEO (AI search) programs. Editorial PR, source-of-truth content, and the trust signals that earn placement in generative-engine answers.
Generative-AI tool selection and stack design. ChatGPT, Claude, Perplexity, custom RAG, content-ops tooling. We help brands pick the stack instead of getting picked by a vendor.
Content personalization and recommendation engines. Data infrastructure, ML-backed recommendations, and the measurement that makes personalization a product capability.
AI training and leadership immersion. Akash Pathak has trained 60-plus global executives at Abbott Labs; we run similar leadership immersions for brands stepping into the AI era.
Interim and fractional senior leadership. Head of content, head of editorial, fractional CMO with AI fluency.
Permanent senior-leader recruiting. AI-fluent content, editorial, and marketing leaders.

How We Compare

Feature	Chameleon Collective	AI content tooling vendor	Generalist content agency
Who runs the engagement	Former CMO, head of content, or AI transformation operator	Customer success rep	Account director, junior delivery
Enterprise AI deployment experience	McDonald's, AbbVie, Humana, Abbott Labs	Their own tool only	Variable
GEO and AEO programs	Yes, editorial PR with AI-visibility design	Not their lane	Some, generic SEO
Tool-agnostic stack design	Yes	No, advocates for their tool

Frequently asked questions

Common questions from content and marketing leaders evaluating Chameleon for AI content strategy.

Consulting practice. We are tool-agnostic and pick the stack that fits the engagement instead of advocating for a tool we sell. Our operators have deployed AI inside enterprise brands (McDonald's, AbbVie, Humana, Abbott Labs).

Yes. Akash Pathak's pre-Chameleon work at Abbott Labs included delivering AI training and immersion for 60-plus global executives, leading to an aligned roadmap on AI acceleration.

GEO (Generative Engine Optimization) and AEO (AI Engine Optimization) are emerging discovery channels through generative search engines. The motion is closer to editorial PR than to traditional SEO. We help brands diagnose whether they need a program before recommending one.

Brand-voice fingerprinting and human-in-the-loop checkpoints. The risk is voice drift across hundreds of generated pieces; the discipline is treating the AI as an editorial assistant inside a system, not as a content producer running unsupervised.

Two to four weeks is typical. The operator is in the seat by the fourth week.

Yes. Our recruiting practice places senior content, editorial, and marketing leaders with AI experience across mid-market and enterprise clients.

Directly. No account-management layer between you and the operator.

Related Services

Recruiting an AI-fluent permanent senior content leader

Our recruiting practice places senior content, editorial, and marketing leaders with AI deployment experience across mid-market and enterprise brands. Interim leaders frequently transition the permanent hire personally.

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