Services/AI Services/GEO
Service · Generative Engine Optimization

Get cited inside the answer. Not just ranked next to it.

We get your brand named inside ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot. AI search audit, query mining, citation-friendly content restructuring, AI-readable schema, and weekly citation tracking — built around the questions your audience actually asks.

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Illustration of a brand being cited inside AI answer cards across ChatGPT, Perplexity, Gemini, and Google AI Overviews
Section 01

What is Generative Engine Optimization?

Generative Engine Optimization is the work of structuring your content so that AI engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, Copilot — pick your brand as a source when they answer your audience's questions.

Where SEO won you a blue link on a results page, GEO wins you a named citation inside the AI's answer itself. Same goal — being the source — different mechanic. AI engines don't reward backlinks the same way; they reward content they can lift cleanly, with clear claims, named entities, and source-worthy structure. We make your pages exactly that.

Quick definition

GEO = SEO for the answer layer. SEO got you ranked on a results page. GEO gets you cited inside the AI's actual answer — the new front page of search.

Section 02

GEO vs SEO — what changes

GEO doesn't replace SEO; it adds a new optimization surface on top of it. Here's the honest split — useful when you're deciding what to invest in this quarter.

Attribute
SEO
GEO
Optimization target
Ranking position on a results page.
Being cited as a source inside an AI answer.
User journey
User clicks through to your site to read the answer.
User reads the answer in the AI; sees your brand cited.
Primary signals
Backlinks, on-page keywords, page authority.
Citation-friendly structure, named entities, factual clarity.
Schema priority
Helpful but not always required.
Critical — AI engines parse schema for authorship and expertise.
Time to first results
3–6 months for new domains.
2–4 weeks for first citations on well-structured pages.
Measurement
Rankings, organic traffic, click-through rate.
Citation share per query, brand-mention frequency, engine coverage.

We almost always run them together. The two stacks compound — GEO-grade pages also rank better in classic SERPs.

Section 03

What you get with us

The deliverables — written down, so the scope is the scope.

  • 01

    AI search visibility audit

    We track where your brand appears across ChatGPT, Perplexity, Gemini, Claude, AI Overviews, and Copilot — and where competitors are taking your share of citations.

  • 02

    Query mining for AI

    Find the high-intent questions your audience asks AI assistants. We extract these from search data, customer support logs, and sampled engine queries.

  • 03

    Citation-friendly content restructuring

    Rewrite existing pages so AI engines lift them cleanly — clear answer blocks, named entities, fact-first paragraphs, source-worthy structure.

  • 04

    AI-readable schema markup

    Article, FAQ, HowTo, Organization, Person, and product schema tuned for AI parsing — including author / E-E-A-T signals AI weighs heavily.

  • 05

    Citation tracking dashboard

    Weekly automated runs against each engine showing which queries cite you, which cite competitors, and the trend across both.

  • 06

    Editorial workflow for GEO

    A handover doc and templates so your in-house team can keep publishing GEO-grade content after the engagement ends.

Section 04

How we run a GEO engagement

The same five steps every time, run as a 12-week sprint or an ongoing retainer depending on your starting point.

Diagram of the five-stage GEO process from AI search audit to citation tracking
  1. 01

    AI search audit

    We run a baseline check across all six target engines. For 30–50 of your category's most-asked questions, we record who's being cited — you, your competitors, or random publishers. The output is a one-page heatmap showing where you're invisible and where you already have a foothold worth defending.

  2. 02

    Query mining

    We pull the actual prompts your audience runs at AI assistants. Sources include search-suggest data, support tickets, sales-call transcripts, and direct sampling against each engine. This becomes a ranked list of 'questions worth being the answer to' — the foundation for everything that comes next.

  3. 03

    Content restructuring

    Existing pages get rewritten — or new ones authored — so an AI engine can lift them cleanly. That means short factual lead paragraphs, named entities, FAQ-style sub-sections, source citations of our own. We work alongside your editors so brand voice stays intact while structure shifts.

  4. 04

    Schema & entity work

    We add Article, FAQ, HowTo, and Organization schema tuned for AI parsing. Author bios, expertise signals, and entity relationships are made explicit. This is where E-E-A-T moves from a marketing slide to actual structured data on your pages — the kind LLMs weight when picking who to cite.

  5. 05

    Citation tracking & iteration

    Weekly automated runs against each engine. You see in a dashboard which queries cite you this week vs last, which competitors stole share, and which content is doing the heavy lifting. We iterate monthly — doubling down on what's working and rewriting what isn't.

Section 05

Engines we optimize for

Six engines drive the bulk of AI-influenced search today. We optimize for citation across all of them — each rewards slightly different signals.

Grid illustration showing the major generative engines GEO targets — ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, and Copilot
  • ChatGPT
    Heaviest citation footprint. With browsing on, cites top organic-style sources.
  • Perplexity
    Citation-first by design. Source quality matters more than authority.
  • Google AI Overviews
    Conservative — mostly cites established domains. E-E-A-T-heavy.
  • Gemini
    Increasingly cites sources, especially on factual / news-adjacent queries.
  • Claude
    Cites less often but rewards clear factual structure when it does.
  • Microsoft Copilot
    Bing-derived sources. Strong B2B and enterprise category coverage.
Section 06

Frequently asked questions

The questions we actually get on scoping calls — answered honestly, not in marketing voice.

What is Generative Engine Optimization (GEO)?
GEO is the practice of structuring your content so that generative AI engines — ChatGPT, Perplexity, Google's AI Overviews, Gemini, Claude, Copilot — pick your brand as a source when they answer relevant user questions. Think of it as SEO for the answer layer of search instead of the link layer. Where SEO got you a blue link on a results page, GEO gets you cited by name inside the AI's actual answer.
How is GEO different from regular SEO?
Regular SEO optimizes for ranking on a results page — the user clicks through to your site to read the answer. GEO optimizes for the answer itself — the AI reads your page, summarizes it, and cites you as a source without the user ever visiting. Both matter, but they reward different things: SEO rewards backlinks and on-page keywords, GEO rewards citation-friendly structure, named entities, and clear factual claims that an LLM can lift in one sentence.
Which AI engines does GEO target?
We optimize across the six engines that drive most AI-influenced search today: ChatGPT (with browsing), Perplexity, Google's AI Overviews / SGE, Google Gemini, Anthropic's Claude, and Microsoft Copilot. Each has slightly different citation behavior — Perplexity is the most citation-heavy, Google AI Overviews is the most conservative — and the same content needs to be tuned to land across all of them.
How long does GEO take to show results?
Faster than traditional SEO. AI engines reindex more frequently and ingest content more aggressively, so a well-structured page can start appearing as a citation in 2 to 4 weeks. Lasting visibility — being the default citation for a category of question — usually takes 8 to 12 weeks of structured publishing plus monitoring.
What does the GEO process actually involve?
Five steps: (1) AI search audit — track where your brand currently shows up across engines and where competitors do. (2) Query mining — find the questions your audience is asking AI assistants. (3) Content restructuring — rewrite or expand pages so they answer those questions in formats AI engines lift cleanly. (4) Schema and entity work — add structured data that helps AI understand authorship, expertise, and relationships. (5) Citation tracking — monitor weekly which engines now cite you, and iterate.
Can you measure GEO results?
Yes — we track three things weekly: how often your brand appears as a cited source across each engine, what queries you're being cited for, and what share of category-level questions you own. The data comes from a mix of automated query runs against each engine plus brand-mention scrapers. You get a dashboard with the trend lines, not vanity screenshots.
Will GEO hurt my traditional SEO rankings?
No. Everything we do for GEO — clearer headings, named entities, factual answer blocks, schema markup — also helps traditional SEO. The two strategies stack. The only tension is editorial: GEO rewards being explicitly citation-worthy, which sometimes means rewriting a paragraph that was technically ranking but reading as fluff. We flag those tradeoffs before changing.
Do I need a lot of existing content for GEO to work?
Not necessarily, but it helps. If you have an existing site with even 10–20 well-targeted articles, we restructure those first — usually the highest-impact move. If you're starting from zero, we help plan a 12-week publishing sprint focused on the questions AI assistants are already getting in your space, written for citation from day one.
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