On Air · MWS Radio · 122 BPM · Track — GEO Content Optimizer

Structure. Schema. Speakable selectors. Earned citations.

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Tempo 122 · 4 / 4 · PATTERN — A
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GEO Content Optimizer
GEO OPTIMIZER

GEO Content Optimizer rebuilds your existing content for AI answer engines. The work: citation-worthy structure, schema coverage, speakable cssSelector targeting, AeoSummary blocks above the fold, FAQ schema, primary-source citations, and authority signals. Output: answer-engine citations in ChatGPT, Claude, Perplexity, and Google AI Overviews.

Who it's for

Built for operators who don't have a marketing team.

  • Healthcare and clinical brands whose buyers ask AI engines before Google.
  • Founders and clinicians who want to be the cited authority in their category.
  • Sites with deep content libraries that earn zero AI engine citations today.
What ships

Concrete artifacts. No slide-deck strategy.

AEO baseline audit

A scan of how ChatGPT, Claude, Perplexity, and Google AI Overviews currently answer the questions your audience asks — and which competitors get cited in the answers.

Per-page AEO upgrade plan

For each priority page, the structural changes — AeoSummary block, FAQ schema, speakable selectors, citation discipline, internal linking — that put the page in the citation set.

Speakable + schema patch

Hands-on patching of speakable cssSelector arrays, FAQPage schema, Article + author identity unification, and any other schema gaps blocking citation.

AeoSummary + structure

Above-fold AeoSummary blocks, scannable H-tag structure, and the question-and-answer paragraphing that AI engines lift verbatim into responses.

Citation discipline

Primary-source citations — PubMed, government, peer-reviewed — added to the claims that need them, sequenced for AEO citation extraction.

60-day citation report

A 60-day re-scan showing where citations moved, which pages earned the lift, and the next batch of pages to optimize.

How it gets built

A four-step working method.

  1. Query map + baseline scan

    A scan of 30 to 60 high-intent queries across ChatGPT, Claude, Perplexity, and AI Overviews — capturing which pages currently get cited and which competitors own the citation set.

  2. Page-by-page upgrade plan

    For the top 10 to 20 pages, a structural plan landed inside ten business days, reviewed in a working session.

  3. Patch + ship

    Speakable, FAQ schema, AeoSummary blocks, internal linking, and citation discipline shipped page-by-page on a weekly cadence.

  4. Re-scan + iterate

    60-day re-scan to confirm citation lift and prioritize the next batch of pages.

Questions answered

Frequently asked.

Do AI engines actually drive measurable buyer behavior yet?
Yes — and increasingly so in healthcare, where buyers and patients use ChatGPT, Claude, and Perplexity as primary research tools alongside or instead of search. The lag indicator that matters is "AI engines cite us when our buyers ask" — and that is measurable today.
What is the difference between SEO and GEO/AEO?
SEO targets a ranking position on a search results page. GEO/AEO targets becoming the cited source inside an AI-generated answer. The structural requirements overlap (schema, structure, citations) but differ meaningfully (AeoSummary, speakable selectors, primary-source discipline matter more for AEO).
Will this hurt my SEO?
No. Every change made for AEO is also a strong SEO signal — schema, structure, citations, internal linking, freshness. We measure both and have not seen tension between them.
How is performance attributed when AI engines do not pass referrer data?
Citation share is the primary metric — how often your domain or specific pages appear as a cited source in AI answers to your priority queries. Brand-search lift and direct-traffic lift are secondary signals. We never claim attribution we cannot honestly defend.
Is there a healthcare-specific catch?
Yes — AI engines cite sources they trust on health topics. Author identity, credential surfacing, and primary-source citations matter more in healthcare than in other verticals. We unify the author Person @id to your canonical clinical identity and sequence the credential signals AI engines look for.

Bring this to your practice.

Thirty-minute discovery call with Matthew Sexton, LCSW directly. No SDR, no qualification script, no junior account executive booking the next call. You leave with a scoped engagement.