AI Search Optimization
AI Search Optimization for Brands That Want to Be Found — and Recommended
Improve how your brand is discovered, understood and surfaced across Google and AI-generated answers. We combine SEO, GEO, entity optimization, content strategy and AI visibility measurement in one search strategy.
Search Presence
Example dataIllustrative presence signals — not a client result
Short answer
What is AI Search Optimization?
AI Search Optimization is the practice of improving a brand’s visibility across both AI-powered search experiences and generative answer systems. It combines traditional SEO, useful content, entity clarity, structured information, external authority, citation readiness and measurement of AI mentions. There is no single official formula for ranking across AI systems; each product uses its own retrieval, search and generation processes.
Why now
Search behavior has changed. Your search strategy has to change with it.
SEO remains the foundation. AI Search Optimization extends it to the answer environments where discovery increasingly happens.
A connected discipline
Traditional SEO and AI Search Optimization measure different parts of discovery.
Traditional SEO
Measures
- Rankings and impressions
- Clicks and organic traffic
Optimizes
- Crawlability and relevance
- Links and search intent
AI Search Optimization
Measures
- Mentions and citations
- Prompt coverage and AI share of voice
- Recommendation presence
Optimizes
- Entity clarity and extractable answers
- Authoritative sources and brand evidence
- Cross-web presence
This is not SEO versus AI Search. Strong AI visibility usually starts with a strong search foundation.
The operating system
What AI Search Optimization actually involves
Technical Discoverability
Make important information accessible, crawlable and consistently rendered.
Content Extractability
Structure answers, definitions, comparisons and evidence so they can be understood in context.
Entity Clarity
Clarify the brand, services, people, locations and relationships behind the website.
Topic Authority
Cover the questions, concepts and decision criteria that define real expertise.
Brand Evidence
Support claims with authorship, methodology, sources and verifiable company information.
Citation Readiness
Create useful, specific pages that can function as supporting sources without promising selection.
External Authority
Understand where trusted third parties describe, validate or contextualize the brand.
AI Visibility Measurement
Track prompts, engines, mentions, citations, competitors and changes over time.
Discovery landscape
One strategy. Multiple discovery engines.
Google, Google AI, ChatGPT, Gemini and Perplexity each work differently. We build a shared information foundation and measure each environment on its own terms—not against a fictional universal ranking factor.
Prompt research
Keywords tell us what people search. Prompts tell us what they ask.
Our Prompt Matrix maps category discovery, vendor discovery, comparisons, recommendations, problem solving, pricing and brand evaluation across relevant engines.
| Prompt type | Example intent | Brand | Competitor | Citation |
|---|---|---|---|---|
| Category discovery | Best platforms for [need] | Mentioned | Present | — |
| Vendor discovery | Who provides [service]? | — | Present | Source found |
| Comparison | Compare providers for [use case] | Mentioned | Present | Cited |
| Brand evaluation | Is [brand] a good option? | Present | — | — |
Measurement first
Before we optimize, we measure.
A defensible strategy starts with observed visibility, not assumptions.
AI Visibility Baseline
Output- 01Brand
- 02Competitors
- 03Prompts
- 04Engines
- 05Citations
- 06Sources
Scope and findings depend on the market and observed dataset.
Methodology
Our AI Search Optimization methodology
Baseline
Measure current search and AI visibility.
Search & Prompt Research
Map search demand and real customer questions.
Technical Foundation
Improve accessibility, rendering and information architecture.
Content & Entity Optimization
Clarify services, expertise, answers and entities.
Authority & Citation Strategy
Address evidence, source and authority gaps.
Measurement
Track mentions, citations, coverage and competitors.
Iteration
Improve based on observed changes.
Content optimization
Content that works for people, search engines and AI systems
We improve direct answers, definitions, comparisons, evidence, named entities, sources, authors, updated dates, tables, methodology and limitations. These features make information clearer and more useful; they do not guarantee that an AI system will cite it.
- Direct, contextual answers
- Evidence and named sources
- Authorship and update history
- Tables, comparisons and limitations
Entity optimization
Make your brand easier to understand
AI visibility depends on more than keywords. Systems need consistent information about who you are, what you do, where you operate, your expertise, products and services, people, relationships and independent evidence. This becomes the foundation for a future entity architecture.
Off-site authority
Your website is only part of your AI footprint.
Independent publications, industry sources, original research, relevant directories, expert mentions, reviews where appropriate and authoritative third-party pages can shape the information environment around a brand. We analyze gaps and opportunities; we do not promise placements or manufacture citations.
Explore Generative Engine OptimizationMeasurement
How we measure AI Search visibility
AI Mention Rate
How often the brand appears across a defined prompt set.
Citation Presence
The share of observed answers that cite brand-owned or relevant sources.
Prompt Coverage
The portion of priority questions where the brand is visible.
AI Share of Voice
Visibility relative to named competitors in the same dataset.
Competitor Gap
Prompts and sources where competitors appear and the brand does not.
Search Visibility
Organic discoverability across priority traditional search results.
Deliverables
What you get
Fit
Who AI Search Optimization is for
For organizations whose customers research, compare and validate options through both search and AI-generated answers.
Terminology
GEO, AEO, AI SEO, LLM SEO — what’s the difference?
The market still uses several overlapping terms. We use AI Search Optimization as the umbrella for search and LLM-mediated discovery.
Generative Engine Optimization: visibility in generated answers and supporting sources.
Answer Engine Optimization: making information eligible and useful for direct answers.
A broad, ambiguous term that may refer to AI tools or AI-search visibility.
Optimization focused on discovery mediated by large language models.
Our umbrella term connecting SEO, GEO, entities, authority and measurement.
Research
AI Search research
Nalmert Research 001 is published.
The study examines 80 AI responses and reports provider mentions, explicit recommendations and visible citations separately, with methodology and limitations.
Case Studies
Verified evidence only
Verified case studies will be published as project data becomes available.
Each case will document baseline, methodology, timeframe and evidence.
Frequently asked questions
AI Search Optimization FAQ
What is AI Search Optimization?
It is the practice of improving and measuring a brand’s visibility across traditional search, AI-powered search experiences and generative answer systems.
How is AI Search Optimization different from SEO?
SEO primarily measures rankings, impressions, clicks and organic traffic. AI Search Optimization extends that foundation to prompts, mentions, citations, recommendations, entity clarity and cross-web evidence.
What is GEO?
Generative Engine Optimization focuses on how brands and sources appear in generated answers. We treat GEO as one component of the broader AI Search Optimization discipline.
Can you guarantee AI recommendations?
No. Closed AI systems are variable and outside an optimizer’s control. We can measure visibility and improve the information, evidence and authority factors that support discoverability.
How do you measure AI visibility?
We define a representative prompt set, observe engines, record mentions and citations, compare competitors and track prompt coverage and share of voice over time.
Does ChatGPT use Google rankings?
Different AI experiences use different retrieval and search mechanisms. Traditional search visibility may help content and brands be discovered, but that does not mean a ChatGPT response directly follows Google ranking positions.
How long does AI Search Optimization take?
It depends on the starting point, technical constraints, content gaps, authority environment and measurement cycle. We establish a baseline and prioritized roadmap before setting expectations.
Which AI systems should a business optimize for?
The relevant mix may include ChatGPT, Gemini, Perplexity and Google AI experiences, but priorities should follow audience behavior, market evidence and available measurement.
Does Schema markup improve AI visibility?
Structured data can clarify machine-readable information and support search features, but Schema is not proven to be a universal direct ranking factor for AI recommendations.
Do I still need traditional SEO?
Yes. Crawlability, useful content, search demand and organic visibility remain essential foundations for discoverability across the wider search ecosystem.
Start with evidence