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

Google AI Overview Optimization

10xSearch helps businesses prepare for Google AI Overviews with structured content, schema, entity clarity, local relevance, and pages designed to answer high-intent search questions.

10xSearchGoogle AI OverviewsGoogle AI Overview

What this page answers

Google AI Overview optimization
how to appear in Google AI Overviews

Google AI Overview Optimization is the discipline of engineering a page so it is named and linked inside Google's AI Overview block at the top of a results page. AI Overviews are now triggered on a growing share of queries and, when they appear, they take the click. Being cited inside the Overview is functionally the new #1 ranking; being absent is functionally being below the fold.

What Are Google AI Overviews?

Google AI Overviews are AI-generated summaries at the top of a Google results page, with named source links the user can click. They appear most often on question-shaped queries, complex queries, and category research. They appear less often on transactional queries with strong local intent (where the Map Pack still wins).

When the Overview appears, it takes a meaningful share of the click. The brands cited inside the Overview keep the inbound. The brands ranking below the Overview without a citation see traffic drop.

Why AI Overviews Matter for Businesses

Inside the Overview, a citation is functionally a Page-One placement plus an implicit endorsement. The user reads the answer, sees the source named, and trusts the source by extension. Brands that engineer for this placement build category authority in a way blue-link rankings never did.

The brand that is ranked #1 but not cited inside the Overview is losing share to the brand that is ranked #3 and cited. The structural quality bar matters as much as the underlying rank.

How Google Selects Sources for AI Answers

Google AI Overviews ground on Google's index plus a quality layer that prefers sources with strong E-E-A-T signals, clean schema, and content geometry that maps to the question. The Overview's source-selection logic favors pages that already rank well in the underlying organic results AND pass the additional quality gate.

Ranking is necessary but not sufficient. A #3 result with clean structure and resolved entity signals can beat the #1 result for the AI Overview citation if the #1 result is structurally noisy.

How 10xSearch Builds AI Overview Visibility

Audit: which of your queries trigger an AI Overview today, which competitors are cited, what structural patterns the cited pages share. We do this in the working session live.

Foundation: technical fixes (rendering, schema, vitals) so your pages clear the quality gate. Without this nothing else compounds.

Velocity: 40 engineered Perfect Pages per month, each one engineered against a query Google AI Overviews triggers on. Monitor where the citations land and rebalance.

AI Overview Optimization for Real Estate Agents

Real estate queries trigger AI Overviews aggressively, especially neighborhood research, market commentary, and 'best agent in X' searches. Brokerages and teams that engineer for this placement now will own the surface as it expands across more transactional queries.

We treat AI Overview optimization as part of the same monthly engineering slate as Google ranking and Map Pack visibility. The work compounds across all three surfaces because the underlying signals overlap heavily.

Building Pages That Support AI Search Answers

Lead with the question. Answer it in the first 100 to 150 words in a unit the model can extract cleanly. Mark the answer with FAQPage schema where appropriate. Mark instructional content with HowTo schema. Emit Article schema with author, publisher, datePublished, dateModified, and inLanguage.

Resolve the entity graph. The Person schema for the author should resolve against verifiable third-party presence. The Organization schema should carry the verified contact and social signals Google trusts. The page's @id should join the site-wide graph cleanly.

Flat H3s From Original Outline

Here is what we mean by flat H3s From Original Outline in the context of google AI Overview optimization. The pillars below are the ones we treat as load-bearing for this topic. It matters because 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.

Structured Answers
Clear Headings
Helpful Explanations
Schema Markup
Local Relevance
Topical Depth
Comparison Pages
Trust Signals

Where to go next.

Schedule a working session About Rick Janson Field notes 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.