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Landis SEO

AI Search Consulting

SEO is becoming bigger than search engines.

Understand how your brand is discovered, interpreted, and referenced across AI-powered search experiences, from Google AI Overviews to ChatGPT, Gemini, and Perplexity.

Talk About AI Search

(01) Definitions

What is AI Search optimization?

Search began as a list of links. It is evolving into systems that answer questions directly, first through featured snippets and answer boxes, and now through generative engines that synthesize responses from many sources at once.

AI search optimization is the practice of making sure your information survives that translation: that it is technically reachable, clearly structured, entity-unambiguous, and worth citing. It is an extension of SEO, not a magical replacement for it.

SEO vs. AEO vs. GEO

SEO

Improving visibility within traditional organic search results.

Rankings, crawlability, content quality, authority: the fundamentals everything else is built on.

AEO

Structuring information so search and answer systems can understand and surface direct answers.

Clear question-and-answer structure, structured data, and content written to be extracted, not just read.

GEO

Improving the likelihood that brands, entities, and content are understood, retrieved, referenced, or cited by generative AI systems.

Entity clarity, retrieval-friendly passages, topical coverage, and presence in the sources these systems learn from.

These disciplines overlap considerably. Strong technical SEO and genuinely useful content power all three; the newer layers add structure, entity clarity, and a different way of measuring visibility.

More terms in the glossary

(02) Services

AI search services

AI visibility audits

Baseline where your brand appears across AI Overviews, ChatGPT, Gemini, Perplexity, and other AI-powered search experiences.

LLM citation analysis

Which sources AI systems cite for the queries that matter to you, and where your content is absent.

Competitor visibility analysis

Who is being cited instead of you, and what their content does differently.

Query fan-out research

Map how a single prompt decomposes into the sub-queries your content must answer.

Content optimization

Answer-first structure, passage-level clarity, and coverage for retrieval.

Entity optimization

Make your brand, products, and people unambiguous to machines.

Technical accessibility

Ensure AI crawlers and retrieval systems can actually reach your content.

AI search measurement

A repeatable measurement setup beyond screenshots and vanity mentions.

AI search strategy

A prioritized program that extends your existing SEO rather than replacing it.

(03) Measurement

From visibility to measurable impact.

Understanding where your brand appears in AI-powered search is only the starting point. The real value comes from monitoring visibility over time, identifying opportunities to improve, and connecting those insights to traffic, engagement, and business outcomes.

  • Referral traffic from AI platforms
  • AI platform visibility across a stable prompt set
  • Brand mentions and citations
  • Query and topic coverage
  • Landing-page engagement
  • Conversions and business outcomes

AI search visibility is constantly evolving, and no strategy can guarantee citations or placements. The goal is to establish reliable benchmarks, monitor meaningful changes, and turn those insights into informed decisions about what to prioritize next.

(04) Baseline

How an AI visibility baseline works.

  1. 01

    Define the prompt set

    Build a stable set of prompts aligned to the questions your buyers actually ask.

  2. 02

    Record brand visibility and citations

    Track where and how your brand appears across relevant AI-powered search engines, assistants, and discovery experiences. Evaluate brand mentions, citations, competitive presence, and the sources influencing visibility, adapting measurement as platforms and user behavior evolve.

  3. 03

    Map the gaps

    Connect missing or weak visibility to specific content, entity, and technical improvements.

  4. 04

    Monitor over time

    Continuously monitor brand visibility, citations, and competitive presence across AI-powered search experiences. Track trends, identify changes, and measure progress against the initial baseline.

AI answers vary by user, location, and time, so a baseline is a consistent sample, not a complete record of every response.

(05) Tools and methods

Tools and methods.

  • GA4
  • Google Search Console
  • Ahrefs
  • Semrush
  • Screaming Frog
  • Structured data (JSON-LD)
  • Python
  • APIs
  • Custom LLM workflows

Where does your brand stand in AI search?

Get an honest baseline of your current AI visibility, the gaps worth closing, and a measurement setup your team can maintain.

Talk About AI Search