AI Search Optimization

Get Your Brand Mentioned When AI Answers Industry Questions

A documented process that positions your business as a credible source in AI-generated answers, so potential clients find you before they find your competitors.
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Price varies based on industry competitiveness, the current state of your brand's digital footprint, and the number of team members or locations included in the scope. A free audit call is available before any commitment.

Starting at $1,800/month
Starting at
Quick Answer

What is AI Search Brand Visibility?

Improving brand appearance in AI search results requires building the structured entity signals, authoritative content, and earned citations that large language models use to identify credible sources when generating answers.

Brands that appear in AI Overviews and LLM-generated responses typically have strong Knowledge Graph presence, consistent entity attribution across authoritative domains, and content that directly answers high-intent queries with verifiable sourcing.

Unlike traditional SEO, AI visibility is not determined solely by ranking position but by whether the brand is treated as a trusted entity within the model's training and retrieval data. Businesses in regulated verticals face higher citation thresholds because AI systems apply implicit YMYL filters when selecting sources for health, legal, or financial queries.

Martial Notarangelo
Martial Notarangelo
Founder, Authority Specialist

What is AI Search Brand Visibility?

When someone types a question into ChatGPT, Google's AI Overview, or Perplexity, the response they get is built from sources those systems have decided to trust. If your brand is not part of that If your brand is not part of that trusted source pool, you are simply not in the conversation., you are simply not in the conversation.

That is not a future problem. It is happening right now, across every industry, including yours. The challenge is that most businesses have no structured way to signal credibility without The challenge is that most businesses have no structured way to signal credibility without AI based SEO services to these systems. to these systems.

They may have a website, a LinkedIn page, and a handful of articles, but those assets are not organized in a way AI systems can reliably parse, reference, or attribute to your brand. What we do is build and document that structure.

We map how your brand, your services, and your We map how your brand, your services, and your expertise are described across the web. are described across the web. Then we close the gaps that prevent AI systems from confidently including you in relevant answers. The result is a brand that shows up where decisions are actually being made.

This service improves how AI tools like ChatGPT, Google AI Overviews, Gemini, and Perplexity understand and represent your brand when users ask questions related to your industry. It does this by auditing your existing digital footprint, identifying where your brand signals are weak or inconsistent, and then building a structured, well-sourced presence across the platforms and publication types that AI systems draw from.

We document every deliverable so you can see exactly what was built, where it lives, and why it matters. Nothing is buried in a black box. The work is reviewable, attributable, and designed to hold up in high-scrutiny environments like regulated industries.

We make sure AI tools know who you are, what you do, and why you are worth mentioning when someone asks a relevant question.

Starting Investment

Plans start at Starting at $1,800/month. Price varies based on industry competitiveness, the current state of your brand's digital footprint, and the number of team members or locations included in the scope. A free audit call is available before any commitment.
What's Included

Comprehensive Coverage

01

AI Footprint Audit

Before any work begins, we run a structured audit of how your brand currently appears across AI tools. We test specific queries in your category and document what AI systems say about you, what they get wrong, and what they ignore entirely.
02

Entity and Brand Signal Architecture

We build a structured, consistent set of brand signals across the platforms that AI systems draw from most frequently. This includes structured data on your website, consistent NAP and credential information across directories, and cross-referenced author and brand profiles.
03

Credibility Content Placement

We create and place well-sourced content on platforms and publications that AI systems actively cite. This is not generic blog posting. Each piece is written to answer specific questions AI tools are already responding to in your category.
04

Author and Expert Profile Engineering

AI systems increasingly trace claims back to named individuals with verifiable credentials. We build and optimize expert profiles for your key team members across LinkedIn, Google's Knowledge Graph inputs, and relevant industry platforms.
05

Ongoing Monitoring and Gap Reporting

AI search behavior shifts as models are updated and new content enters the training and retrieval pool. We run regular checks on how your brand appears in AI outputs and flag changes, new gaps, or competitor movements that need a response.
06

Documented Workflow You Can Review

Every deliverable in this service comes with documentation showing what was built, where it lives, and what it is designed to achieve. Nothing is delivered in a black box. If your marketing team, legal team, or a compliance officer asks what was done, you have a clear, reviewable record.
How We Work

Our Process

1

Discovery and Industry Immersion

We spend the first phase learning your industry before writing a single word or building a single signal. That means understanding the specific language your clients use, the questions they actually ask AI tools, the regulatory environment you operate in, and how your competitors are currently positioned in AI outputs. This is not a generic onboarding call. It is a structured research phase.
2

AI Footprint Audit and Gap Analysis

Using the industry map built in phase one, we run a structured audit of how your brand currently appears across the major AI tools and AI-influenced search surfaces. We test real queries, document the outputs, and produce a gap report that shows exactly what needs to change and in what order.
3

Brand Signal Architecture Build

We implement the structural layer first because content placed on a weak foundation has limited impact. This includes structured data, consistent credential and description fields across directories, and the foundational entity signals that allow AI systems to recognize your brand as a distinct, attributable entity rather than a vague listing.
4

Credibility Content Creation and Placement

With the structure in place, we create and place content designed to be cited by AI systems. Each piece targets a specific question or category query identified in the audit phase. We write for the publications and platforms AI tools actively reference, not generic article directories.
5

Monitoring, Reporting, and Iteration

We begin regular monitoring of your brand's AI presence from the point the first deliverables go live. Monthly reports show what has changed in AI outputs, what is still in progress, and what new gaps or opportunities have appeared. Quarterly strategy reviews adjust the direction based on what the data shows.
Deliverables

What You Receive

AI Output Audit Report

A documented record of how your brand currently appears across major AI tools, including verbatim AI outputs for relevant queries, accuracy assessment, and prioritized gap list.

Brand Entity Architecture Document

A structured reference document showing every brand signal we have built or updated, where it lives, what it says, and how it connects to other signals in the system.

Content Placement Record

A live log of all content created and placed, including publication names, URLs, publication dates, and the specific query or gap each piece was designed to address.

Monthly AI Presence Report

A recurring report showing your brand's current state in AI-generated outputs, changes since the last report, and the next priority actions.

Expert Profile Portfolio

A set of built and optimized expert profiles for key team members across LinkedIn, relevant directories, and structured data inputs, with documentation showing how each profile was set up.
Benefits

Why Teams Choose This

Your Brand Gets Mentioned Instead of Ignored

AI Describes You Accurately, Not Vaguely

Credibility That Compounds Over Time

Documented Work You Can Account For

A Starting Point Before Competitors Get There First

Ideal For

Best Fit Teams

Established firms in legal, financial, or healthcare services

Businesses with strong offline reputations that have not translated to online authority

Companies entering a competitive category where AI-recommended brands have a head start

Brands that have been misrepresented in AI outputs

Marketing directors who need documented, auditable work

FAQs

Frequently Asked Questions

Standard SEO is focused on ranking in the blue-link results you see in a traditional search page. This service is focused on how AI tools like ChatGPT, Gemini, and Google AI Overviews understand and describe your brand when they generate answers.

The two overlap in some areas, particularly around structured data and content quality, but AI search visibility requires specific signal types, source targeting, and entity architecture that standard SEO work does not typically address in a structured way.

No. AI systems make their own retrieval and attribution decisions, and those decisions are not directly controllable by any outside party. What we can guarantee is that every deliverable in this service is designed based on documented patterns in how AI tools select and describe brands.

We build the signals that make inclusion more likely and more accurate. Any provider claiming guaranteed placements in specific AI outputs is overstating what is currently achievable.

We run structured query tests across the major AI tools on a monthly basis, testing the specific question types most relevant to your category and location. We document the outputs, track changes over time, and report on both the frequency and accuracy of your brand's appearance.

You receive a written report each month showing exactly what the AI tools said and how that has shifted since the previous period.

In most cases, initial shifts in AI outputs become visible within 3-5 months of implementation. The structural work, including entity signals and structured data, tends to take effect before content placements fully cycle through AI retrieval systems.

Timelines vary based on how competitive your category is, how much existing authority your brand has, and how frequently the AI tools you care most about update their underlying source pools.

Yes. A significant portion of this work is done for clients in legal, financial services, and healthcare. These industries are among the highest-stakes environments for AI search visibility because prospective clients ask AI tools for recommendations on consequential decisions.

Our documentation process and content review workflow are specifically designed to accommodate compliance requirements in these verticals.

At the start, we need access to your website backend or your developer's contact, current brand guidelines if they exist, accurate descriptions of your services and credentials, and at least one team member who can answer industry-specific questions.

For content review, we need a designated internal contact who can approve copy before publication. We do not need to replace your existing marketing team; we work alongside whatever is already in place.

Inaccurate AI descriptions are one of the most common issues we find in the initial audit phase. Correcting them is a specific part of the service. The process involves identifying the source of the inaccuracy, building counter-signals with accurate information in higher-authority locations, and then monitoring the AI output to confirm when the description has shifted.

It typically takes longer to correct an entrenched inaccuracy than to build presence from a blank slate, so early intervention is preferable.

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