AI Search & GEO

Generative Engine Optimization (GEO)

Improve your chances of being cited by ChatGPT, Gemini, Perplexity, and Claude, not skipped.

What it is

Be the answer, not a blue link.

When buyers ask an AI who to hire, the brands that get named win the deal before competitors know it happened. GEO makes your business the source generative engines pull from and cite, by engineering the entity data, content structure, and authority signals that earn you a seat in the answer itself.

Core services include
  • Entity and knowledge-graph optimization so engines know who you are and who you serve
  • Answer-ready content structured to be quoted and cited in AI responses
  • Schema, structured data, and optional llms.txt files that make facts easier for supported crawlers and AI systems to parse
  • Authority and citation building across the sources LLMs trust most
  • Prompt-space mapping, the exact questions buyers ask AI in your category
  • Share-of-model tracking: how often you appear, how you're described, against whom
Who it’s for

Why GEO is now its own budget line.

  • AI search is replacing the top of the funnel, many buyers never reach a results page
  • Engines pick a few sources, not ten links, position one is the only position
  • Models cite authority and structure differently than Google ranks pages
  • Consistent authority signals improve how often your brand is represented across relevant AI answers over time
  • Early movers build durable authority that compounds as the engines evolve

See if Generative Engine Optimization (GEO) is the right move for your team.

Request a free quote
Build, manage, run

We Build and Run Your Generative Engine Presence

Generative Engine Optimization gets your brand surfaced inside AI answers from tools like Claude, ChatGPT, and other assistants where buyers now research. Our senior team builds the content, structure, and entity signals that make your business citable, then we run it as an ongoing program. This is hands-on work tied to revenue, not a one-time report on where you rank.

We monitor how AI assistants answer questions about your category and adjust the program as the engines and your competitors move.

  • We build structured, authoritative content that AI engines can cite and trust
  • We strengthen entity, schema, and source signals so models represent your brand accurately
  • We track how AI assistants describe and recommend you, then act on the gaps
  • We run GEO as a continuous program alongside SEO, owning the work month over month
How & why it works

Own the answer in your market.

We audit how every major AI engine describes you today, fix the gaps, and build the authority that gets you named. Find out what ChatGPT says about your business right now, and what it should be saying.

geo.viz
Try it · Free GEO tool

What does AI search before it names a brand?

Run any buyer question through Claude, ChatGPT, Gemini, and Perplexity and see the estimated fan-out of sub-queries our tool models for each engine — the map of what your content must answer to get cited.

FAQ

Questions, answered.

SEO optimizes to rank a blue link on a results page, while GEO optimizes to be the source an AI assistant quotes inside its answer. They overlap on technical health and authority, but GEO adds work like structuring content so models can extract it cleanly, earning mentions on the third-party sites these tools synthesize from, and tracking whether you get cited rather than where you rank. We usually run GEO alongside your SEO so the two reinforce each other instead of competing for the same content.

We build a prompt set of the real questions your buyers ask and run them across each assistant on a recurring schedule, then log whether you are named, linked, or skipped, and which competitor shows up instead. We track share of citations by topic and by engine over time, because each model pulls from different sources and updates on its own cadence. For example, Perplexity tends to cite live web pages directly while ChatGPT leans on its training plus connected search, so the same answer can name you in one and ignore you in another, and we tune for each.

On-site we restructure content into clear, extractable answers with strong headings, direct definitions, FAQs, and schema so models can lift a clean passage. Off-site we work the sources these engines trust, which means earning mentions and accurate listings on the review sites, directories, and editorial pages that get synthesized into answers. We also fix the boring blockers, like making sure your robots and crawl rules are not quietly excluding the AI crawlers that feed these tools.

Content and technical changes can surface in crawl-based tools like Perplexity within a few weeks, while models that update less often can take a couple of months to reflect new authority, so realistic movement shows over roughly two to four months. We do not guarantee specific placements, because no agency controls how these models rank or phrase answers. What we commit to is the work and the reporting: tracking citations across engines, executing the optimizations, and reporting the trend every cycle, with more citations across more of your priority prompts as the target we drive toward.

You do not need volume, you need clear, authoritative coverage of the specific questions buyers ask, so a focused set of strong pages often outperforms a large thin one. We start by mining the prompts your audience actually uses and prioritize the handful of topics where being the cited answer matters most to revenue. For example, a niche B2B firm with twenty sharp, well-structured pages can become the go-to source on its category, while a sprawling site with shallow content gets passed over by the model.