Alchemetics Playbook AI Search Strategy

For owners and marketing teams

The AI search playbook for becoming the recommended company.

AI search is not only a content problem. It is a visibility system built from prompts, sources, proof, freshness, and measurement. This playbook shows the pieces Alchemetics checks before we tell a client what to fix.

Use this as the plain-English map for ChatGPT, Perplexity, Gemini, Claude, Google AI, and Copilot visibility.

Playbook question: “What makes AI recommend one company over another?”
The answerThe business with the clearest proof usually has the advantage.

AI engines look for extractable answers, trusted sources, consistent entities, reviews, and fresh evidence.

The gapMost companies only optimize their own site.

The stronger strategy improves the whole evidence layer around the company.

The five-part system

AI visibility is built from the sources an answer engine can trust.

P

Prompt Demand

Map the buying, comparison, local, and problem-aware questions prospects ask before choosing a provider.

A

Answer Fit

Create pages and sections that give direct, specific, extractable answers instead of vague marketing copy.

S

Source Authority

Find the third-party pages AI already trusts and build presence where competitors are being validated.

F

Freshness

Refresh important pages, facts, examples, and proof assets so stale content does not define the answer.

M

Measurement

Track mentions, citations, competitors, and answer quality by engine instead of hiding everything inside one score.

R

Revenue Action

Turn each finding into a 30-day fix that can improve visibility, trust, and lead flow.

Monthly workflow

The playbook works because it repeats.

One audit gives the baseline. Monthly tracking shows whether the business is gaining AI answer share, earning better citations, and being described more accurately.

Capture

Run fixed buyer prompts across the major engines and save the exact answers, sources, and competitor mentions.

Build

Improve the pages, schema, reviews, citations, comparison assets, and proof sources most likely to affect those answers.

Compare

Rerun the prompt set and show whether the company is more visible, more accurately described, and cited by better sources.

What to fix first

Do not start with random blog posts.

Start where AI engines already show you the market. The first fixes should be tied to prompts, sources, and competitors, not a generic content calendar.

Finding
What it means
First fix
Competitors named, you absent
AI has stronger public evidence for competitors
Build proof pages and trusted third-party source coverage
You are mentioned but not cited
The brand is known, but supporting sources are weak
Strengthen citation-ready content, reviews, schema, and external mentions
AI describes you incorrectly
The entity signals around the business are inconsistent
Fix naming, services, locations, About content, schema, and profiles
Old pages shape the answer
AI is relying on stale content
Refresh priority pages with current proof, dates, examples, and direct answers

Turn the playbook into a report

Find out which AI answers your business is winning and losing.

The free AI Visibility Guru report applies this playbook to your site, your competitors, and your market.