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Be the answer,
not just a result.

The front page of the internet is no longer a list of ten blue links. It's a generated answer — from ChatGPT, Perplexity, Google AI Overviews, and Claude. Generative Engine Optimization (GEO) is how you get cited in those answers. We track it weekly and optimize for it systematically.

3,200
Queries audited across AI engines in our 2026 study
4
AI engines tracked: ChatGPT, Perplexity, AIO, Claude
Weekly
Citation monitoring and visibility scoring

What you get.

GEO is not a bolt-on. It's a discipline that touches content, technical, entity strategy, and brand authority. We measure what others guess at.

01

LLM citation tracking

We query ChatGPT, Perplexity, Google AI Overviews, and Claude weekly for your target terms and track whether your brand is cited, linked, or recommended.

02

Entity & brand graph

We build your brand's presence in the knowledge sources LLMs draw from: Wikipedia, Wikidata, Crunchbase, industry databases, and structured datasets.

03

Answer-engine content

Content structured to be cited: clear definitions, named data points, explicit methodology, and source-worthy original research that LLMs prefer to reference.

04

Quarterly GEO benchmark

A comprehensive audit of your AI search visibility vs. competitors. Where are you cited? Where are you missing? What's the gap?

05

Reddit & forum strategy

LLMs heavily weight Reddit, Quora, and community forums. We help you build authentic presence in the conversations that feed AI answers.

06

Wikipedia readiness

We assess notability, prepare source material, and ensure your brand meets Wikipedia's inclusion criteria. We never edit Wikipedia directly — we make you worthy of inclusion.

07

Knowledge panel optimization

Google Knowledge Panels are a trust signal for both humans and LLMs. We claim, verify, and optimize your panel with accurate, authoritative information.

08

Source authority signals

The signals LLMs use to decide who to cite: domain authority, named authorship, structured data, and consistent entity references across the web.

How we optimize.

GEO is still an emerging discipline. We bring rigor to it with measurement, experimentation, and systematic execution.

STEP 1

Baseline audit

We query all major AI engines for your priority keywords and map where you're cited, where competitors are, and what sources are used.

STEP 2

Entity gap analysis

We identify missing or weak entity signals: Wikipedia, schema, author profiles, and structured data that LLMs need to confidently cite you.

STEP 3

Content & entity work

Answer-optimized content creation, entity graph building, and strategic community participation — all coordinated across channels.

STEP 4

Measure & iterate

Weekly citation checks, quarterly benchmarks, and continuous optimization based on what each AI engine responds to.

Common questions.

Is AI search optimization real or hype?

Real, and growing. Our 2026 study audited 3,200 queries across ChatGPT, Perplexity, and Google AI Overviews. Brands that are cited see measurable referral traffic and brand lift. Brands that aren't are invisible to a growing share of searchers.

How do you measure AI search visibility?

We run automated queries weekly across all major AI engines for your target keywords. We track citation frequency, position in generated answers, link inclusion, and brand mention sentiment.

Does this replace traditional SEO?

No. GEO builds on traditional SEO. The signals LLMs use — authority, structured data, entity references — overlap heavily with Google ranking factors. GEO makes your SEO work harder.

Is GEO included in all retainers?

Weekly citation tracking and entity optimization are included in the Compound+ retainer. Launch and standard Compound clients can add it as a focused module.

Ready to be the cited answer?

Book a call. We'll run a baseline AI search audit on your brand and show you exactly where you stand today.