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Stan Consulting · AI SEO DIY

AI search, SEO, and voice optimization for operators.

A practical library for making your website easier for Google, AI assistants, voice search, and real buyers to understand. Built around answers, proof, structured data, and conversion paths.

AI searchAnswer enginesVoice searchGA4 tracking

Quick answer

AI SEO is not a new bag of tricks. The practical work is to make each page crawlable, answer-led, source-backed, entity-clear, visually useful, internally linked, and conversion-ready. These guides show the pieces in the order a business owner can actually execute.

The page has to be understandable before it can be trusted: crawlable text first, then concise answers, evidence, entity clarity, and a conversion path.
Source-backed direction

This DIY section follows current official guidance from Google Search Central: AI features and your website, Google Search Central: SEO Starter Guide, Google Search Central: Introduction to structured data, Google Analytics Help: Traffic acquisition report. Ranking is never guaranteed, but discovery, extraction, and trust signals can be improved immediately.

01How to optimize a website for AI search

A practical AI search optimization checklist: crawlable text, direct answers, proof, entity clarity, visuals, and conversion paths.

Read guide
02How to write answer engine content

A practical format for answer-engine content: question-led pages, direct answers, proof blocks, steps, visuals, and buyer routing.

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03How to add schema for AI SEO

A practical schema checklist for AI and SEO: Article, Breadcrumb, Organization, LocalBusiness, Service, validation, and visible content rules.

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04How to optimize for voice search

Voice search optimization for service businesses: plain answers, local facts, question headings, proof, and conversion-ready contact paths.

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05How to make service pages citable

A service-page optimization guide for AI and Google: scope, price logic, fit, process, proof, FAQs, internal links, and conversion paths.

Read guide
06How to track AI search traffic in GA4

A practical GA4 and Search Console setup for tracking AI search traffic, visible AI referrals, landing pages, events, and conversions.

Read guide

Execution order

Build the trust layer before chasing rankings.

For day-one impact, do not start by publishing disconnected articles. Build a linked cluster and make every page answer a decision question. Then connect those answers to the service pages that can turn the attention into a qualified lead.

01. Crawl

Make the page indexable, internally linked, canonical, and readable in visible HTML.

02. Answer

Use direct answer blocks, question headings, and short summaries that can be extracted cleanly.

03. Prove

Add official sources, examples, original diagrams, data, and entity facts that support the answer.

04. Convert

Route the reader to the right next guide, service page, diagnostic, form, or call path.

Where to start

Use the page that matches the failure.

If the site is hard to understand

Start with website optimization for AI search.

If the copy is vague

Start with answer-engine content structure.

If Google does not understand the entity

Start with schema and structured data.

If leads are not visible in reporting

Start with AI traffic tracking in GA4.

Need this applied to your actual website?

The Conversion Second Opinion reviews the page, funnel, tracking, and conversion architecture against the business problem. $999. Written diagnostic. 72-hour delivery.