Be ranked on Google.
Be cited by AI.
Every AI answer is built from web content that's already structured, indexed, and trusted. The brands cited in ChatGPT and Perplexity are usually the same brands ranking on Google. SEO is the foundation. AEO compounds on top. We build for both, on the same stack.
You can't do AEO
without SEO.
Same crawl. Same schema. Same authority signals. Skip the foundation, skip the citations.
If Google can't reach it, AI can't either.
Crawl health, indexability, sitemap hygiene, internal linking. The work that decides whether bots can see your pages at all. No AI citation route bypasses crawlability.
LLMs cite what they can parse.
Product, FAQ, HowTo, Review, Organization. The schema Google rewards with rich results is the same schema LLMs use to extract and attribute content. One implementation, two surfaces. Brands without it get skipped on both.
Both surfaces reward depth.
Consistent, structured expertise moves you from "one of many sources" to "the source they cite." Both Google and AI ignore thin content. Work that earns rankings earns answers. Same signal, two readers.
Skip SEO, skip AEO.
Brands that chase AEO without an SEO foundation end up cited by neither. The two compound; they don't compete. SEO isn't a different discipline from AEO. It's the prerequisite. Foundation first, frontier second.
First the foundation.
Then the frontier.
We fix SEO first: crawl, schema, authority. The things Google needs and AI also needs. Then we layer AEO on top: citation tracking, content restructuring, entity mapping built for the engines that summarise before the click.
Fix what Google needs first.
- Technical SEO: Core Web Vitals, crawl health, indexability, sitemap hygiene
- On-page: built once for both human readers and AI parsers
- Schema and structured data: the same schema LLMs read
- Topical authority through content depth, not content volume
- Measured in rankings, sessions, and revenue from organic
Then layer the AI surfaces.
- Citation tracking across Perplexity, Claude, and ChatGPT
- Content restructuring so LLMs can extract and attribute it
- Entity mapping that signals topical expertise to AI models
- Schema patterns proven to be machine-quotable
- Measured in share-of-answer and citation frequency
Technical depth.
Not content volume.
Both Google and AI reward structure over noise. Publishing more doesn't get you ranked or cited. Being structured the right way does. Same work, both surfaces.
Technical SEO foundations.
Core Web Vitals, crawl health, indexability, internal linking, sitemap hygiene. The work most ecommerce sites quietly skipped. The work AI models need before they'll trust a page enough to cite it.
- LCP
- CLS
- INP
- Crawl health
- Sitemaps
- Indexability
Structured data and schema.
Product, FAQ, HowTo, Review, Organization. The schema earning rich results on Google is the same schema LLMs parse to decide whether to cite a page. One implementation, two surfaces. Benchmarked against your category leaders.
- Product
- FAQ
- HowTo
- Review
- Organization
- BreadcrumbList
Entity mapping and topical authority.
Both Google and LLMs reward consistent, structured expertise. We map the entity relationships and content depth that move you from "one of many sources" to the source they cite. Across rankings and answers alike.
- Topic clusters
- Entity links
- Citation graph
- Author signals
Visibility tracking, both surfaces.
Rankings on Google. Citations on Perplexity, Claude, and ChatGPT. One dashboard, both signals. You know what's working before a quarterly report says otherwise, and the work compounds with the data instead of waiting on it.
- Google rankings
- Perplexity
- Claude
- ChatGPT
Find out how visible you are
across SEO and AEO today.
Every Search Visibility engagement starts with a benchmark. Where you rank on Google for the queries that close. Where you're cited (or not) inside Perplexity, Claude, and ChatGPT. What it takes to compound across both surfaces.
Both surfaces. One stack. One scope.