AI Optimization · AEO · GEO

Get found when buyers ask AI what to choose.

We help brands become easier for ChatGPT, Gemini, Perplexity, Google AI experiences, and other answer engines to understand, cite, and recommend, without abandoning the SEO foundations that still power discovery.

AI visibility benchmarking Answer-ready content Entity, schema & citation strategy
How we evaluate AI visibility
Commercial discovery
Commercial prompt visibility

Where your brand appears for questions tied to products, services, comparisons, and buying decisions.

Brand mention frequency

How consistently your brand is surfaced across relevant AI-generated answers.

Citation and source coverage

Which owned and third-party sources AI systems reference when answering.

Entity and product clarity

Whether AI systems clearly understand what you sell, who it is for, and how it differs.

Competitor share of voice

Where competitors are appearing more often or being cited more consistently than you.

The goal is not vanity mentions.
We prioritize the prompts, pages, product information, and authority signals most likely to influence real buying decisions.
AI discovery
ChatGPT
Gemini
Perplexity
The Shift

Product and brand discovery no longer happens only in search results.

People increasingly ask AI systems to compare products, explain options, shortlist vendors, and recommend what to buy. Your brand needs to be understandable and credible before an answer engine can confidently surface it.

AEO

Become the answer

Structure useful information so answer engines can extract direct, accurate responses from your site.

GEO

Earn mentions and citations

Strengthen the content, entity, authority, and source signals that help generative systems understand and reference your brand.

SEO

Keep the foundation strong

Technical accessibility, useful content, internal structure, and authority still matter because AI discovery overlaps heavily with strong search fundamentals.

Common Problems

Why strong brands still disappear from AI answers.

AI visibility problems are usually not solved by adding a few “AI keywords.” They come from unclear information, weak source signals, missing coverage, or content that does not give systems enough confidence to use you.

You are absent from category prompts

Buyers ask for recommendations, comparisons, or best options and competitors appear while your brand does not.

Your brand is hard to interpret

Products, services, use cases, attributes, and relationships are inconsistent or scattered across the site.

Your content is difficult to cite

Pages are vague, overly promotional, or missing the concise facts, comparisons, and evidence an answer engine can reuse.

Competitors have stronger source signals

They are referenced by more relevant third-party sources, reviews, publishers, communities, or industry sites.

Product or service data is incomplete

Important attributes, specifications, pricing context, availability, audiences, or differentiators are missing or inconsistent.

You are not measuring AI visibility

You know your Google rankings, but not where your brand appears, gets cited, or loses recommendation share across AI systems.

Find out where AI discovery is breaking down.

We benchmark the prompts that matter, the sources being cited, and the information gaps keeping your brand out of the answer.

What We Do

Build the signals AI systems need to understand and trust your brand.

AEO and GEO work best as a connected program. We diagnose visibility, improve the information on your site, strengthen supporting signals, and measure whether the right prompts are moving.

01

AI visibility research

Prompt sets, competitor presence, cited sources, recommendation patterns, and gaps across commercially relevant questions.

02

Content & entity clarity

Answer-ready pages, comparisons, use cases, brand/entity relationships, product information, and content architecture.

03

Structured information

Schema recommendations, product and service attributes, FAQs where useful, internal relationships, and machine-readable context.

04

Authority & citations

Source-gap analysis and opportunities to strengthen the external evidence and references surrounding your brand.

Need a roadmap, not another AI checklist?

We prioritize the changes most likely to improve visibility for the prompts and buying decisions that matter to your business.

How We Prioritize

AI visibility by business impact, not prompt count.

A thousand tracked prompts are not useful if none of them matter commercially. We focus first on the questions, comparisons, and recommendations that can actually shape a buying decision.

Commercial prompt value
How closely the question maps to a purchase, vendor shortlist, or meaningful action.
Citation gap
Where competitors are being used as sources and your brand is missing.
Source readiness
Whether your site already has the facts, evidence, and page structure needed to compete.
Path to impact
How directly the opportunity can move from recommendation to measurable AI visibility and organic growth.
AI opportunity map
Prioritized by impact
Product comparisons
High
Category recommendations
High
Use-case questions
Med
Generic education
Low
The goal is to win meaningful AI discovery.
We focus effort where visibility can influence consideration, qualified traffic, and revenue, then expand from there.

See where your brand is missing from the buying conversation.

We can map the high-value questions your customers ask and show which brands and sources currently own the answer.

Buying Journey

Enter the decision before the customer reaches a search result.

AI optimization is valuable when it helps your brand show up earlier in research, while the buyer is still deciding what matters and which options deserve consideration.

A buyer asks

“What is the best option for my use case?” or “How do these products compare?”

AI builds an answer

The system synthesizes information from pages, entities, products, reviews, publishers, and other sources.

Your brand appears

Your product, service, page, or expertise is mentioned, cited, or included in the recommendation set.

They investigate

The buyer visits your site, searches your brand, or compares your offer with the shortlist AI created.

You earn the opportunity

AI discovery becomes another path into consideration, qualified traffic, leads, or sales.

Deliverables

What an AI optimization engagement can include.

Exact scope depends on the business, but the work is built around implementation and measurable visibility, not a one-time report full of generic recommendations.

  • AI visibility baseline
  • Commercial prompt research
  • Competitor recommendation analysis
  • Cited-source analysis
  • Brand and entity audit
  • Content gap analysis
  • Answer-ready page recommendations
  • Comparison and use-case content
  • Product or service information improvements
  • Structured data recommendations
  • Internal entity and topic relationships
  • Third-party citation opportunities
  • AI crawler/accessibility review
  • Implementation roadmap
  • Monthly AI visibility reporting
  • SEO and AI strategy alignment

Turn the audit into changes that actually ship.

We can handle the strategy, content, implementation guidance, and ongoing measurement instead of handing your team a static document.

Process

What working together looks like.

We establish the baseline first, then improve the signals that matter most and measure whether the right prompts, citations, and recommendation patterns are changing.

Baseline

We define commercially relevant prompt groups and benchmark your brand against competitors across target AI experiences.

Strategy

We identify the content, entity, product-data, technical, and authority gaps most likely to limit visibility.

Implementation

Priority changes start shipping across existing pages, new content, structured information, and supporting source opportunities.

Measure & iterate

We track how visibility changes, what sources AI systems use, where competitors move, and what should be pushed next.

Measurement

Measure AI visibility without pretending attribution is perfect.

We track what can be observed reliably: whether your brand appears, whether your pages are cited, how recommendation share changes, what sources influence answers, and whether AI-driven discovery is creating measurable visits or conversions when those signals are available.

MentionsPresence in relevant answers
CitationsReferenced pages and sources
ShareVisibility versus competitors
AI visibility scorecard
Brand mentions
78
Citation rate
66
Recommendation share
72
Source coverage
84
What we watch
Commercial visibilityPresence on prompts tied to products, services, comparisons, and buying decisions.
Cited URLsWhich pages are actually being referenced and where coverage is missing.
Competitor movementWhich brands are gaining or losing recommendation share relative to you.
AI referral signalsVisits and conversions from identifiable AI sources when analytics make them visible.

Know what your AI visibility reporting should answer?

Where you appear, what gets cited, which competitors are winning, and which changes are producing the strongest movement.

Fit

Is AI optimization a good fit?

The strongest opportunities usually exist when the business already has a real product, service, customer base, and enough information or authority to build on.

Built for

  • Established brands competing for product or service discovery
  • E-commerce businesses with meaningful catalogs
  • B2B and service companies with complex buying decisions
  • Teams investing in SEO, content, or organic acquisition
  • Brands seeing competitors appear in AI answers
  • Companies willing to improve their website and supporting signals

Probably not a fit

  • Companies looking for guaranteed ChatGPT recommendations
  • Brands expecting instant visibility from a few schema changes
  • Businesses without clear products, services, or positioning
  • Businesses unwilling to invest in meaningful content improvements
  • Companies treating AI optimization as a one-time hack
Why Work With Us

AI optimization grounded in search, content, and commercial strategy.

Generative discovery is new, but the work still depends on fundamentals: technically accessible sites, clear information, strong content, credible external signals, and knowing which opportunities actually matter to the business.

Commercial focus

We prioritize AI visibility around buying decisions and business value, not the number of prompts in a dashboard.

SEO foundation

AEO and GEO are integrated with technical SEO, content architecture, and organic search rather than treated as a separate gimmick.

Content execution

We identify what information is missing and help turn it into pages and content that both people and machines can use.

Measured claims

We track observable visibility and avoid pretending anyone can guarantee how a third-party AI system will answer.

FAQ

Questions about AEO, GEO, and AI optimization.

What is AEO?

Answer engine optimization focuses on making your information easy for search engines and AI systems to extract and use when answering a question. That usually means clearer page structure, concise answers, strong supporting detail, and technically accessible content.

What is GEO?

Generative engine optimization focuses on improving the information and signals that help generative AI systems understand, reference, cite, and potentially recommend a brand, product, service, or source.

Is GEO replacing SEO?

No. AI discovery is changing how people research products and services, but the foundations overlap heavily with strong SEO: crawlability, useful content, authority, structured information, clear entities, and trustworthy sources. We treat SEO and AI optimization as connected channels.

Can you guarantee that ChatGPT or another AI will recommend my brand?

No. Recommendations and citations are controlled by third-party systems, so no agency can legitimately guarantee a specific answer. We improve the signals that make your brand easier to discover, understand, verify, cite, and include.

How do you optimize for ChatGPT, Gemini, Perplexity, and AI Overviews?

There is no single tactic. We analyze the questions that matter, the brands and sources currently appearing, your site architecture and content, entity clarity, product or service data, structured information, technical accessibility, and external authority. The roadmap is based on the gaps we find.

Does schema markup improve AI visibility?

Structured data can help machines interpret information and relationships, but schema alone is not an AI visibility strategy. It works best when the underlying content, product data, authority, and technical foundation are also strong.

Do we need to create completely separate content for AI?

Usually not. Much of the opportunity comes from improving existing commercial and informational pages so they answer questions more clearly, include the details buyers need, and connect related entities and topics. New content is created when meaningful gaps exist.

How do you measure AI visibility?

We monitor commercially relevant prompt sets, brand mentions, cited URLs, recommendation frequency, competitor visibility, and the sources influencing generated answers. Where analytics expose AI referral traffic or conversions, we include those signals too, while being careful not to overstate attribution.

How long does AI optimization take?

There is no universal timeline because AI systems change, sources are refreshed at different speeds, and competitive categories vary. Some visibility can move after important content or technical changes are discovered, while broader authority and recommendation patterns take longer to influence.

Start With Visibility

Find out where AI systems understand your brand, and where they do not.

We will identify the high-value questions your customers ask, which competitors and sources currently shape the answer, and what your site needs to improve first.