Jason Mun
The work hasnt changed shape. The surface has.
For the last fifteen years SEO meant ranking on a page of ten blue links. That page is now three pages. A traditional SERP. An AI Overview that answers the question without one. And a chat window that recommends three brands and cites sources.
Overdose built a practice to play across all three - by building a team where SEO, AEO and GEO share the same workflow, the same data, and the same account lead.
THREE THINGS CHANGED IN THE LAST 12 MONTHS.
Google is running two products at once.
68%
AI platforms are live commercial channels.
31%
Your reporting may not be telling you the truth.
15-25%
Three layers
of optimisation
SEO drives clicks. AEO drives clarity. GEO builds credibility.
We work all three as one stack, because the brands that win in 2026 need to be findable, machine-readable and trusted as a source -by Google and by the LLMs.
SEO
A short, intent-laden phrase. The query is the keyword.
AEO
The query becomes a specification, Attributes win.
GEO
The query is now a recommendation request. Trust signals win.
One workflow. Built to evolve.
Every OD search engagement runs on the same methodical workflow. Foundations first. Authority and content layered on top. AI visibility woven through every pillar, not bolted on at the end.
Five pillars sit around the framework: Technical, On-Site, Content, Off-Site, and Amplify (AIO/GEO) – built on Audience and Keyword Research at the core. The waterfall sequences delivery so the foundations are stable before authority and content scale.
As SEO & GEO can be extremely volatile. Our workflow framework ensures we are your eyes and ears to an evolving practice.
Feed hygiene is now the front line of AI discoverability.
Google wants you to make your purchase decision while still in the search results. Product pages now appear in popular product modules, organic shopping carousels, and inside ChatGPT and Gemini responses with names and prices attached. The brands surfacing in those moments share one thing: structured, complete, attribute-rich product data that Google and the LLMs can read.
What we do:
Organic Shopping auditGMC, schema, PDP alignment
Feed engineeringGranular attributes, supplemental feeds, taxonomy, GTINs
Programmatic product improvementsOD's AI workflows
Agentic commerce readinessUCP, ACP and what comes next
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