What does 10xSearch do?

10xSearch is a custom search infrastructure studio in Denver, Colorado. We build a fully bespoke 50-page website on a modern serverless edge platform in seven days, then ship two engineered pages per business day. Every page is graded against a 40-point Perfect Page Formula covering crawlability, performance, structured data, and extraction-readiness for AI answer engines like ChatGPT, Perplexity, and Google AI Overviews.

How fast can a 10xSearch site go live?

A complete custom 50-page site is launched and indexed within seven business days of kickoff. By the end of month two, the site contains 150 or more engineered pages, with two new pages added every business day by the content engine. Pages are typically discoverable in Google and Bing within 24 to 72 hours of publication via IndexNow.

What is the Perfect Page Formula?

The Perfect Page Formula is a 40-point, 10-pillar checklist every page on a 10xSearch site must pass before it ships. Pillars cover search intent, topical depth, structure and scannability, schema and indexability, internal linking, Core Web Vitals, brand voice, conversion path, trust signals, and generative engine readiness. No page leaves the queue until it scores a perfect 40.

How does anonymous visitor identification work?

10xSearch deploys a privacy-compliant identity resolution layer on every client site. It identifies the majority of anonymous visitors with 80 percent or higher accuracy, returning names, business email addresses, and locations updated daily. Sales teams receive a list of real humans who visited high-intent pages but did not fill out a form.

What does the engagement include?

One subscription covers the custom 50-page build, the daily content engine shipping two engineered pages every business day, the embedded AI chatbot trained on your business, the 24/7 AI voice receptionist, the visitor identification pipeline, and the live market data feed. There is no separate setup, content, or maintenance fee.

Where is 10xSearch based?

10xSearch is engineered in Denver, Colorado, and serves service brands across the United States. All build, content, and engineering work is handled in-house by the Denver team.

Who founded 10xSearch?

10xSearch was founded by Rick Janson, JD, MBA. Rick is the author of two books on the discipline: AI Search Optimization and AI Search Optimization for Real Estate. The 40-point Perfect Page Formula used on every client site is drawn directly from the methodology in those books. He can be reached at Rick@10xSearch.com.

How much does 10xSearch cost?

Engagements are a flat $2,500 per month, all inclusive. The setup fee is waived and built into month one. The flat fee covers the custom 50-page build, two engineered pages shipped every business day (about 40 per month), the embedded AI chatbot, the 24/7 AI voice receptionist, the visitor identification pipeline, the live market data feed, and Schema, Google Search Console, and GA4 setup on day one. There are no tiered plans, no per-page upsells, and no pass-through fees.

Services

AI Search Optimization

AI search optimization helps your business get found in ChatGPT, Gemini, Perplexity, Google AI Overviews, and other answer engines through structured content, schema, entity clarity, and authority signals.

ChatGPTPerplexityGeminiGoogle AI OverviewsGoogle AI Overview

What this page answers

AI search optimization
how to get found in ChatGPT search

AI search optimization is the discipline of engineering a website so that ChatGPT, Perplexity, Google AI Overviews, and Gemini select it as a cited source. It overlaps with traditional SEO but the bar is higher: the page has to be readable to a model on the first fetch, structurally unambiguous, entity-resolved, and supported by signals these engines actually weigh. This is what 10xSearch ships as a monthly service. 40 engineered assets across the 10 Pillars of Search, every page built to satisfy the 40-point Perfect Page Formula before it goes live.

What Is AI Search Optimization?

AI search optimization is the work that gets a brand cited in an answer engine, not just listed in a ranked result. Where SEO ends at the list of blue links, AI search optimization targets the answer itself. The page must be structurally extractable, the entity must be resolved (who is this brand, where is it, what does it offer), and supporting signals (schema, citations, freshness, internal coherence) must give the model enough confidence to risk citing the source by name.

In practice it is a stack of disciplines: SEO foundations, Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and entity resolution. Most agencies still ship one piece. 10xSearch ships the entire stack as one engagement, with the 10 Pillars of Search as the assignment list and the Perfect Page Formula as the gate every output crosses.

Why AI Search Matters Now

Discovery is moving from ranked lists to extracted answers. Buyers and sellers research in ChatGPT and Perplexity before they search Google. When the answer engine names a brand, that brand wins the conversation. When it does not, the brand is invisible in a way it was never invisible on Google, because the user never sees the lower-ranked competitors.

The window to build category citation is now. Brands engineering this in 2026 are the brands that will be cited when AI search is the default discovery surface in 2027.

How AI Platforms Decide Who to Recommend

Every major engine grounds slightly differently. ChatGPT leans heavily on the Bing index plus its own retrieval. Perplexity weights freshness and live web retrieval more aggressively. Google AI Overviews ground on Google's index plus an additional quality filter. Gemini grounds on its own corpus.

Inside each engine the source-selection logic favors pages that are structurally clean (server-rendered, schema-marked, fast), semantically aligned to the query (question-first geometry, named answers), and supported by entity signals the engine can resolve quickly. Quality at the page level is necessary; quality at the entity level is what separates the cited brand from the lower-confidence alternatives.

The Signals AI Search Engines Look For

Server-rendered HTML and a clean Time To First Byte. JSON-LD schema (Organization, Person, WebSite, Article, FAQPage, HowTo, Service, BreadcrumbList) resolving against a coherent @id graph. Question-first content geometry: the question in the H1, the answer in the first 100 to 200 words.

Entity signals beyond the page: verifiable third-party presence (LinkedIn, Crunchbase, industry directories), press citations, and a publishing cadence consistent with ongoing expertise. The brands that get cited at scale are the brands whose page-level work and entity-level work line up.

How 10xSearch Builds AI Visibility

Every engagement starts with the technical foundation: SSR or static HTML, fast Time To First Byte, server-rendered schema (Organization, WebSite, Person, Service, Article, FAQPage), and clean canonicalization. With that baseline in place we start producing assets at velocity: 40 engineered Perfect Pages per month, two per business day, each one tied to a query the brand should own.

Every page goes through the 40-point Perfect Page Formula before publish: entity-clear H1, structured Q-and-A blocks, internal-link cohesion, JSON-LD that resolves against the canonical entity graph, and Core Web Vitals compliance. We monitor where the brand appears across Google, Google Maps, ChatGPT, Perplexity, Gemini, and Google AI Overviews so we can adjust the asset slate based on actual citation patterns.

AI Search Optimization for Local Businesses

Local categories are where the asymmetry is biggest. A buyer asking ChatGPT for the best agent in Telluride or the best dentist in Cherry Creek expects a short list of named recommendations. Whichever brand is on that short list wins the conversation; whichever brand is not stays invisible.

We layer a local stack on top of the AEO foundation: full Google Business Profile build-out, neighborhood and market pages that resolve as places in the entity graph, and structured local citation hygiene. This is what makes the brand surface in both the Map Pack and the answer engines.

Flat H3s From Original Outline

Here is what we mean by flat H3s From Original Outline in the context of aI search optimization. The pillars below are the ones we treat as load-bearing for this topic. It matters because ChatGPT, Perplexity, Gemini, Google AI Overviews, and Google AI Overview weigh structural signals more heavily than keyword density. The working session is where we map this to your specific market and competitor set.

Entity Clarity
Structured Content
Third-Party Corroboration
Schema Markup
Topical Authority
Local Market Relevance
Proof and Case Studies
Prompt-Matched Pages

Where to go next.

Schedule a working session About Rick Janson AEO services Compare 10xSearch

Next step

Want this engineered for your business?

Book a 20-minute working session. Live AI visibility check across Google, Google Maps, ChatGPT, Perplexity, Gemini, and Google AI Overviews, with a written summary you can act on.