AI Visibility & Buyer Readiness

Would an AI-assisted buyer choose you?

67%of B2B buyers prefer a sales-rep-free experience.
45%used GenAI during a recent purchase, mainly to research vendors and products.
Gartner survey of 645 B2B buyers, conducted Aug–Sep 2025. Buyers used an average of 7 information sources during a recent purchase. View source ↗

We help make your business easier for AI to discover, understand, verify and compare — so when a buyer asks “who should I choose?”, your company gives AI enough evidence to include you in the answer.

Example buyer question
“Which [service] provider would you recommend for a [industry] company like mine, and why?”
Here’s how they compare based on the information available online:
Company AClear offer + proof
Company BStrong reviews
Your companyNot enough data
The hidden problem

You can be great at what you do and still be difficult for AI to recommend.

When key information is vague, missing or inconsistent, AI has less to work with than it has for your competitors.

×

Unclear specialization or target customer

×

No concrete pricing, process or proof

×

Weak third-party confirmation

✓

We find and fix those gaps.

The buyer journey has changed.
Search→Ask AI→Compare→Verify→Decide
What changed

Your website is no longer selling only to humans.

Buyers can now use AI to shortlist companies, compare proposals, question pricing, check claims and find missing information before ever speaking to sales.

Traditional SEO asks whether you can rank. AI visibility asks whether an AI system can confidently understand what you do, who you serve, why you are credible and how you compare.

“Who are the best companies for this?”
“Is this quote actually a good deal?”
“Compare these three providers.”
“What are the risks of choosing this company?”
The framework

The 7 layers that make a business easier for AI to recommend.

We don’t treat AEO as “add some FAQs and schema.” We evaluate the full path from technical access to how clearly AI can understand, verify and compare the business.

01 / ACCESS

Can AI reach you?

Before anything else, your website needs to be technically accessible. Great content has little value if search and AI systems cannot reach or interpret it properly.

We review whether important pages can be crawled, indexed and rendered correctly. That includes crawler permissions, robots.txt, noindex directives, canonical URLs, sitemaps, firewall rules and content that may only appear after JavaScript interactions.

  • AI/search crawler access
  • robots.txt & indexability
  • XML sitemaps & canonical URLs
  • security, firewall & rendering issues
The question we answer: Can AI actually access the information it needs to evaluate your business?
02 / ENTITY CLARITY

Can AI understand exactly who you are?

Many websites sound polished to humans while communicating very few concrete facts to an AI system.

We make the business entity explicit: what type of company you are, what you sell, who you serve, which problems you solve, where you operate and what you specialize in.

Vague: “We help you build the future you deserve.”

Clear: “We are a fee-only fiduciary financial advisory firm helping technology executives in San Francisco manage equity compensation, tax planning and retirement.”
  • Category & positioning
  • Audience & geography
  • Services & specialization
  • Consistent company identity across the web
The question we answer: Would AI immediately understand who you are, what you do and who you are relevant for?
03 / BUYER QUESTIONS

Do you answer what buyers actually ask AI?

Traditional SEO often starts with keywords. AI discovery increasingly starts with longer, contextual questions.

We map questions across the entire decision process: discovery, qualification, pricing, comparison, proof and risk. Then we identify where those answers exist today — and where the website leaves AI guessing.

Search query: “fiduciary advisor San Francisco”

AI question: “Who are good fiduciary advisors in San Francisco for a tech executive with significant stock compensation?”
  • “Who specializes in X?”
  • “Is this suitable for a company like mine?”
  • “How does Company A compare with Company B?”
  • “Is this quote reasonable?”
The question we answer: Does your website answer the same questions your buyers are asking AI?
04 / ANSWER ARCHITECTURE

Can AI easily extract a useful answer?

Having the information somewhere on the site is not enough. Important facts need to be explicit, structured and easy to interpret.

We reduce ambiguity by restructuring key pages around direct answers: who the service is for, what is included, typical engagement, pricing, process, geography, outcomes and limitations.

The goal is not to write for robots.
It is to make your business easier for both humans and AI to understand without decoding vague marketing copy.
  • Clear headings & summaries
  • Pricing, process & engagement details
  • Tables, FAQs & comparison blocks
  • Structured service and audience information
The question we answer: Could AI pull a clear, factual answer from your pages without guessing?
05 / PROOF & VERIFICATION

Can AI verify what you say?

Every business says it is trusted, experienced and high quality. AI has more reason to rely on claims when those claims are backed by evidence.

We turn generic marketing statements into verifiable proof through measurable results, reviews, credentials, case studies, public examples and third-party references.

Weak: “We are an experienced web partner.”

Stronger: “570+ websites delivered, 100+ five-star reviews and approximately 32 hours average production time per site.”
  • Case studies & measurable outcomes
  • Reviews & testimonials
  • Credentials, clients & public examples
  • Claim → evidence → independent confirmation
The question we answer: If AI wanted to verify your claims before mentioning you, could it?
06 / COMPARISON READINESS

What happens when AI puts you next to competitors?

A buyer can give AI several websites or proposals and ask for a comparison in seconds. Missing information can become a competitive disadvantage.

We simulate those comparisons and look at what AI can determine about each company: pricing, specialization, experience, process, results, terms, support, reviews, limitations and differentiators.

You may genuinely be the better provider. But if a competitor gives AI clearer information and stronger evidence, that competitor may simply be easier to evaluate.
  • Pricing & engagement model
  • Differentiators & limitations
  • Experience, results & specialization
  • Website, offer & proposal consistency
The question we answer: Does AI have enough information to understand why someone should choose you?
07 / EXTERNAL AUTHORITY

Does the wider internet confirm your story?

Your website is only one source. AI may use information elsewhere to corroborate who you are and whether your claims are credible.

We look for consistency and independent confirmation across professional profiles, review platforms, directories, partner websites, publications, podcasts, associations and other relevant sources.

Your site says you specialize in CRO. LinkedIn says the same. Clients mention CRO in reviews. A conference bio describes your CRO experience. An article quotes you on conversion strategy. The story becomes easier to verify.
  • LinkedIn & professional profiles
  • Google Business Profile & directories
  • Review platforms & partner websites
  • Podcasts, publications & industry mentions
The question we answer: Does the rest of the internet support what you are telling buyers about your business?
Access→ Entity→ Questions→ Structure→ Proof→ Comparison→ Authority→ AI-assisted decision
The comparison test

What happens when AI puts you next to three competitors?

We test the same scenario your buyer can create in seconds: compare multiple providers, identify gaps and ask which option appears best supported by evidence.

Competitor

Target customerClear
PricingPublished
ProofCase studies + reviews
SpecializationExplicit
External authorityStrong

Your business

Target customerImplied
PricingMissing
ProofGeneric testimonials
SpecializationUnclear
External authorityInconsistent

This is the kind of gap we turn into an optimization roadmap — not a generic “AI SEO score.”

How we choose what to test

We don't make up random AI prompts.

We build a Buyer Question Map around the decisions your real prospects need to make — then use that map to choose the AI questions worth testing.

THE BUYER QUESTION MAP

From real buying context to testable AI questions.

The goal is not to create the biggest prompt list. It is to identify the questions most likely to affect whether someone discovers, evaluates, trusts, compares, or chooses your business.

We start with your actual buying situation: your service, ideal customer, geography, competitors, pricing model, common objections, alternatives, and the factors buyers use to make a decision.

Then we add evidence from the places where demand already shows up: Search Console queries, keyword research, customer FAQs, sales conversations, reviews, competitor pages, search results, and available AI visibility data.

The result: a focused set of 20–50 buyer questions that reflect real intent — not arbitrary prompts chosen to make a report look impressive.
01 / DISCOVER

Who exists?

“Who specializes in [service] for a [industry] company?”

02 / FIT

Are they right for me?

“Does this company work with businesses my size or situation?”

03 / COMPARE

How are they different?

“How does Company A compare with Company B?”

04 / PROOF

Can I trust them?

“What results, reviews or evidence support their claims?”

05 / PRICE

Is the deal reasonable?

“What does this normally cost, and is this quote fair?”

06 / RISK

What could go wrong?

“What should I verify before choosing this provider?”

Business context→ Search & customer data→ Competitor evidence→ 6 buying intents→ 20–50 priority AI questions
How it works

We start with what AI already sees.

Before changing your site, we benchmark the current state and uncover exactly where the information gap is.

STEP 01

Define the buyer

Map ideal customers, services, geography, competitors, triggers, objections and decision criteria.

STEP 02

Build the prompt set

Create 20–50 realistic AI questions covering discovery, qualification, pricing, comparison and trust.

STEP 03

Test visibility

Record whether you appear, how you are described, which sources are used and what information is missing.

STEP 04

Analyze competitors

Identify what competitors communicate more clearly and what evidence makes them easier for AI to evaluate.

STEP 05

Fix the gaps

Improve positioning, pages, proof, structure, schema, external profiles and technical accessibility where needed.

STEP 06

Retest

Run the same prompt set again after changes are discoverable and compare what changed.

How we work together

First understand the gap. Then fix it in priority order.

We start with a focused assessment so you know what AI can see, what it cannot verify, and where competitors have an advantage. If you want help implementing the roadmap, we continue month by month.

Step 1 · Assessment

AI Visibility & Buyer Readiness Assessment

Find out what AI currently understands about your business, how you compare with competitors, and what should be fixed first.

INVESTMENT
$750
TYPICAL ETA
7–10 days
  • Buyer + business context mapping
  • 3–5 competitor analysis
  • Buyer Question Map
  • 20–50 priority AI questions
  • 7-layer visibility assessment
  • AI comparison simulations
  • Technical + authority review
  • Prioritized AI Buyer Readiness Roadmap
Outcome: You know where you appear, what AI understands, which gaps hurt you most, what competitors communicate better, and exactly what to fix first.
Step 2 · Implementation

AI Visibility Implementation Retainer

We work through the assessment roadmap in priority order — improving the website, proof, entity clarity, content and external signals as we go.

MONTHLY RETAINER
$975/mo
PACE
Focused monthly roadmap
  • Priority actions from the assessment
  • Positioning & entity clarity improvements
  • Service / buyer-question page updates
  • Proof, case study & comparison improvements
  • Schema and technical fixes where relevant
  • External profile / authority improvements
  • Prompt retesting as changes go live
  • Roadmap updated based on what we learn
Outcome: Instead of receiving a report and being left to execute it, the highest-impact gaps are progressively fixed and retested month by month.
Why two steps?

We don't prescribe implementation before we know what is actually broken.

The assessment creates the evidence and roadmap. The implementation retainer is optional and gives us a focused way to work through that roadmap without forcing every business into the same fixed package.

No fake guarantees

There is no “#1 ranking in ChatGPT.”

AI answers are dynamic. Different prompts, context, models and source sets can produce different results. Nobody can honestly guarantee that a specific business will always be recommended.

What we can do is systematically make your business easier to discover, understand, verify and compare — and give AI stronger evidence to work with when it evaluates you.
Start with the baseline

What would AI tell a buyer about your business today?

Start with the assessment: see what AI understands, what it cannot verify, which competitors are easier to evaluate — and what to fix first.

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💡 Whether you have questions, ideas, or are simply curious about how we can work together, I’m just a message away.