/ S_05 · AI Search & SEO

    SEO built for Google, AI search and the places buyers actually research.

    Search moved. Google still matters, but a growing share of high-intent research happens inside ChatGPT, Perplexity, Gemini, Reddit and YouTube. Winning modern SEO means building content, structure and proof that all of those surfaces can cite.

    Start a conversation →Hiring Brief →
    / Who this is for
    • ▸Founders and CMOs whose organic traffic is stuck on brand queries
    • ▸Ecommerce and B2B teams whose competitors are showing up in AI answers
    • ▸Services businesses relying on paid because SEO never compounded
    • ▸Content teams shipping posts that don't earn links or citations
    / The problem

    Where teams get stuck.

    Most SEO programs are still optimizing for a 2019 SERP. Meanwhile buyers are asking ChatGPT, comparing on Reddit, watching YouTube reviews and only hitting Google to confirm. If the brand isn't cited on those surfaces, it's invisible during the actual research.

    / What Heath builds

    The system.

    Four workstreams that make the engagement real. Not a deck — the systems that get built and left in place.

    • 01 /

      Technical SEO and structured data

      Crawl, indexation, canonical, sitemap, internal linking and JSON-LD schema — the boring layer that decides whether anything above it compounds. Certified through Semrush Academy in Technical SEO and AI Search Essentials.

    • 02 /

      Content and topical authority

      Content pillars mapped to real buyer intent, briefs written from search and answer-engine research, and internal linking that builds topical authority instead of orphaned posts.

    • 03 /

      Answer engine and Reddit visibility

      Structure, entities and proof designed to be cited by ChatGPT, Perplexity, Gemini and Google's AI overviews. Reddit research and community signal woven into the strategy — where a growing share of high-intent buyers now form opinions.

    • 04 /

      Measurement and iteration

      SE Ranking, GA4 and answer-engine tracking on a monthly cadence with clear scoring on which topics are earning links, citations and pipeline.

    / What this fixes

    The symptoms.

    If two or three of these read as a description of the current state, this is the right engagement to have a conversation about.

    • ✕Organic traffic stuck on branded queries with no non-brand growth.
    • ✕Competitors showing up in ChatGPT and Perplexity answers while you don't.
    • ✕Blog programs shipping posts that never earn links, citations or pipeline.
    • ✕Technical foundation — schema, canonicals, internal linking — quietly broken.
    • ✕Reddit, YouTube and community discovery ignored while buyers form opinions there.
    • ✕No shared scoring for which topics are actually earning attention.
    / Operating model

    How this runs.

    • 01 · Audit

      Two-week technical, content and answer-engine audit against a defined target keyword and question set.

    • 02 · Foundation

      First 60 days rebuild the technical layer, structured data and internal linking so future content compounds.

    • 03 · Content system

      Ninety-day content and answer-engine sprint on the highest-intent topic clusters.

    • 04 · Compound

      Monthly cadence extending the system, tracking AI-search citations and pruning what doesn't earn its slot.

    / How the engagement works

    Ninety days, not slides.

    01 /The first two weeks are a technical, content and answer-engine audit against a defined target keyword and question set. Crawl, indexation, schema, internal linking, existing content and AI-search citation baseline all get scored in one document.

    02 /The next 60 days rebuild the technical layer, structured data and internal linking so future content actually compounds. Content pillars get mapped to real buyer intent and answer-engine research — not vibes-based topic lists.

    03 /From day 60 to 180 a content and answer-engine sprint runs on the highest-intent clusters, with structure, entities and proof designed to be cited by ChatGPT, Perplexity, Gemini and Google AI overviews. Monthly reporting tracks links, citations and pipeline — not just rankings.

    / Proof

    Proof to review.

    View full portfolio →
    / Common questions

    Before you reach out.

    Is this traditional SEO or AI-search optimization?
    Both, treated as one problem. Google still drives majority intent for most brands, but a growing share of high-intent research happens inside ChatGPT, Perplexity, Gemini, Reddit and YouTube. Winning modern search means being citable across all of them.
    How long until this shows up in traffic or citations?
    Technical fixes and structured data can move impressions and AI-search visibility inside 30 to 60 days. Content and topical authority compound over 90 to 180 days. Anyone promising faster is usually renting rankings, not building them.
    Do you write the content or brief the team that does?
    Either. Heath can run the content system end to end, or plug into an existing in-house or agency writing team with briefs, structure, internal linking and answer-engine research so what they ship actually earns its slot.
    / Related services
    / Resources
    / Next step

    If organic has plateaued and AI answers are quoting competitors, start here.

    Contact Heath →Hiring Brief →