Alchemetics

AI Search Optimization

AI Search Optimization prepares your business for the answer engines that are changing discovery across Google, ChatGPT, Perplexity, Gemini, Claude, and Copilot.

What we do

A practical system for AI Search Optimization.

1

Audit The Signals

We find what search engines and AI engines can understand today, then identify what is missing.

2

Fix The Foundation

We improve structure, content, local signals, schema, citations, reviews, and trust assets.

3

Track The Lift

We monitor visibility, recommendations, competitor mentions, and source improvements over time.

Included

What this service can include.

  • Cross-engine visibility checks
  • Source and authority audits
  • Content and entity optimization
  • Monthly visibility reporting
  • AI answer share-of-voice checks by prompt and engine
  • Authority source gap maps against competitors
  • Content freshness and proof-asset recommendations
  • Before-and-after AI answer snapshots
  • Clear reporting and next-step recommendations
  • Internal links to related Alchemetics services

Operating system

The work runs on a repeatable AI visibility loop.

Alchemetics does not treat AI search as a one-time content project. Each engagement starts with measured prompts and source evidence, then turns the gaps into monthly work that can be checked again.

P

Prompt tracking

We monitor the questions buyers ask AI tools before they choose a business.

S

Source building

We improve the owned and third-party sources AI systems use to justify recommendations.

F

Freshness cadence

We keep important pages current so engines see updated proof instead of stale claims.

FAQ

Common questions about ai search optimization.

Are all AI search engines alike?

No. ChatGPT, Perplexity, Gemini, Claude, Google AI, and Copilot can use different source mixes, retrieval systems, and citation behavior.

Should we use one AI visibility score?

No. One blended score hides the truth. Visibility should be measured engine by engine and prompt by prompt.

What is the common foundation across engines?

Crawlable content, server-rendered text, structured data, answer-first sections, entity clarity, freshness, reviews, citations, and trusted outside mentions.

Why does Perplexity show different sources than ChatGPT?

Different engines retrieve, rerank, and cite sources differently. That is why the report separates engines instead of pretending they are the same.

What does the monthly work look like?

Test prompts, identify source gaps, improve pages, build proof, strengthen citations, publish better answers, and remeasure movement.

Can this be automated?

Parts can be automated, especially audits and measurement. Judgment still matters when deciding which pages, sources, and claims to fix first.

Get the report

Find out what AI search sees when it looks at your business.

Send your site and we will show the real prompts, answers, competitors, sources, and first visibility gaps.