builds search visibility for how Gemini AI SEO and Entity Authority

SEO Built for the Way AI Answers Questions Now

Most SEO agencies are still optimizing for a search engine that no longer works the way it did. This service builds visibility for how AI overviews, voice assistants, and large language models actually surface answers today: with a documented process you can review at every stage.
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Price is affected by the number of topic clusters being targeted, the level of competitive difficulty in your market, whether multiple author or location entities need to be built, and the volume of content required. An initial audit conversation will clarify which tier fits your situation before any commitment is made.

Starting at $2,500/month
Starting at
Quick Answer

What is AI SEO Agency?

An AI SEO agency optimizes for both traditional search rankings and the AI-generated answer surfaces now appearing at the top of Google, ChatGPT, and Perplexity results. The technical work includes entity authority building, structured data schema, citation source development, and content structured for AI extraction.

Most conventional SEO agencies optimize only for blue-link rankings, missing the AI Overview layer that now intercepts a significant share of high-intent queries. Firms and practices in regulated industries need an agency that can demonstrate a documented review process, not just AI-generated content at scale.

Martial Notarangelo
Martial Notarangelo
Founder, Authority Specialist

What is AI SEO Agency?

Search has changed. When someone types a question into Google today, they often get an AI-generated summary at the top: before any links. When someone asks ChatGPT or Perplexity a question about your industry, the answer comes from sources those systems have learned to trust.

If your business is not part of that trusted source pool, you are not part of the answer. Most businesses have not adapted their SEO approach to this reality. They are still chasing keyword rankings on a page that now shows an They are still chasing keyword rankings on a page that now shows an AI overview above every result. above every result.

They are still publishing content that answers surface-level questions rather than building the kind of documented, well-structured answers surface-level questions rather than building the kind of documented, well-structured fintech search authority expertise that AI systems use expertise that AI systems use as answers surface-level questions rather than building the kind of documented, well-structured fintech search authority expertise that AI systems use as content writing services reference material. reference material.

This service is designed for businesses that want to be the source AI systems cite, not the business that appears three scrolls below the AI-generated answer. The process is documented, the outputs are reviewable, and the work is built to hold up in high-scrutiny environments: particularly in legal, financial, healthcare, and other regulated industries where trust signals carry real weight.

This service restructures how your business appears across the entire search environment: traditional search results, AI-generated overviews, voice search, and the large language models that millions of people now use to get answers.

That means auditing what signals your current site sends about your expertise, restructuring content so AI systems can read and cite it cleanly, building the credibility architecture that causes authoritative sources to reference you, and creating a documented trail of expertise that search systems: both traditional and AI-powered: can verify.

Every output is documented. Nothing is abstract. You can review exactly what was done, why, and what changed as a result.

We make your business the source that shows up when AI systems answer questions in your field: instead of your competitors.

Starting Investment

Plans start at Starting at $2,500/month. Price is affected by the number of topic clusters being targeted, the level of competitive difficulty in your market, whether multiple author or location entities need to be built, and the volume of content required. An initial audit conversation will clarify which tier fits your situation before any commitment is made.
What's Included

Comprehensive Coverage

01

Entity Architecture and Credibility Mapping

AI systems do not just read your words: they build a model of who you are, what you know, and how credible that knowledge is. This process maps your business, your team's credentials, and your content against the signals those systems use to decide whether to cite a source. The output is a documented structure that makes your expertise readable to AI systems.
02

AI Overview and Featured Snippet Targeting

Google's AI Overviews pull content from pages that answer questions clearly, directly, and in a structure that the system can chunk and cite. This process identifies the specific questions your target audience is asking, then builds content that answers those questions in the format AI systems prefer. Each piece is designed to stand alone as a citable answer.
03

Topical Authority Content System

AI systems and search engines increasingly favor sources that cover a topic completely, not sources that publish one article and move on. This service builds a content system around your core topics: covering the questions, the subtopics, the regulatory context, and the expert perspectives that signal deep knowledge to both AI systems and the people searching.
04

Technical SEO for AI Readability

AI systems need clean, well-structured data to interpret your site accurately. This includes schema markup that tells search systems exactly what your content is and who produced it, crawl optimization that ensures nothing is blocking AI systems from reading your pages, and structured data that connects your content to the entities and topics it belongs to.
05

Author and Expert Verification Signals

For high-trust industries: legal, medical, financial: AI systems place significant weight on the verifiable credentials of the people behind the content. This process documents author expertise, connects it to verifiable external signals, and structures it in a way that satisfies both Google's E-E-A-T evaluation and the trust signals that AI systems use when deciding what to cite.
06

Reviewable Visibility Reporting

Every output in this process is documented and reviewable. You receive reports that show exactly what was done, what signals changed, and how your visibility has shifted. Nothing is presented as a black box. If a piece of work was done, there is a record of it and a way to measure whether it had an effect.
How We Work

Our Process

1

Discovery and Current State Audit

Before any work begins, the current state of your search presence is documented in full. This includes what AI systems currently know about your business, what credibility signals exist, what technical issues are blocking visibility, and where your competitors are appearing that you are not. This audit becomes the baseline everything else is measured against.
2

Entity Architecture and Technical Foundation

The foundational work happens here: schema markup is implemented, entity signals are structured, author credentials are documented and connected to verifiable sources, and any technical issues blocking AI readability are resolved. This is the infrastructure layer that everything else builds on.
3

Topical Content System Build

Content is planned and produced around the full range of questions your audience is asking in your field. Each piece is written by a subject-matter-aligned writer and reviewed for accuracy, depth, and AI-readability.

Content is structured with self-contained answer blocks so AI systems can cite specific sections rather than needing to process an entire page.

4

Authority and Citation Signal Building

Credibility in AI systems is partly built through what other trusted sources say about you. This phase focuses on building the kinds of third-party references: editorial mentions, expert citations, structured directory presence: that cause AI systems to treat your content as a verifiable source rather than an uncorroborated claim.
5

Measurement and Ongoing Optimization

Monthly reporting covers AI Overview appearance changes, organic visibility shifts for target queries, and the growth of credibility signals over time. Each month's work is prioritized based on what the data shows: not on a preset template. As the search environment changes, the process adapts.
Deliverables

What You Receive

Technical SEO Audit Report

A documented audit of every technical issue affecting how AI systems and search engines read your site. Written in plain language with clear priorities, not a 200-item checklist of low-impact findings.

Entity and Credibility Signal Audit

A map of what AI systems currently know about your business, your team, and your expertise: including gaps that are causing you to be overlooked in AI-generated answers.

Topic Map and Content Calendar

A structured plan covering the questions your audience is asking, organized by topic cluster and priority. Each piece in the plan has a documented rationale for why it belongs in the system.

Published Content (AI-Structured)

Articles and pages written and structured for AI Overview citation, with self-contained answer blocks, schema markup, and author attribution connected to verifiable credentials.

Schema and Structured Data Implementation

Technical markup installed across your site that tells AI systems exactly what your content covers, who produced it, and how it relates to your broader area of expertise.

Monthly Visibility Report

A documented summary of AI Overview appearances, ranking changes, and credibility signal growth: written in plain language with a clear next-steps section.
Benefits

Why Teams Choose This

Your Business Appears in AI Answers, Not Below Them

Credibility Signals That Hold Up in Regulated Industries

Compounding Visibility Over Time

Transparent Process You Can Audit Anytime

Visibility Built for How People Search Now

Ideal For

Best Fit Teams

Legal practices and law firms

Financial advisors and financial services firms

Healthcare providers and medical practices

B2B professional services with long sales cycles

Businesses that have invested in content but see inconsistent results

FAQs

Frequently Asked Questions

A traditional SEO agency focuses primarily on keyword rankings in standard search results. An AI SEO agency builds visibility for the way search actually works now: where AI-generated overviews appear above traditional results, and where AI assistants like ChatGPT and Perplexity pull answers from sources they have learned to treat as credible.

The technical work, content structure, and credibility signals required to appear in those AI-mediated answers are different from what traditional SEO alone produces.

The foundational technical and entity work produces some changes in the first one to two months, but meaningful visibility changes in AI Overviews and topic rankings typically become consistent at the four to six month mark.

This is a function of how search systems build and update their understanding of a source's credibility over time. Businesses that have a stronger starting foundation: existing content, some citations, credentialed authors: tend to see changes on the earlier end of that range.

No. Content is planned, written, and structured by the team. Your role is subject matter review: particularly in regulated industries where factual accuracy carries compliance or liability weight. You will review drafted content before it is published, but the production work is handled entirely on our side.

If you have existing subject matter experts who want to contribute, that is a strong asset and can be incorporated into the author specialist program.

Regulated industries: legal, financial, healthcare: are exactly the environment this process is built for. Content in these fields is subject to higher scrutiny from both Google's quality evaluation systems and AI systems making trust decisions.

The author credential structure, the factual review process, the schema markup connecting content to verifiable experts, and the disclaimer and compliance review workflow are all designed with regulated content environments in mind. The process does not treat compliance as an obstacle: it treats it as a credibility signal.

No, and any agency that makes that guarantee is making a claim they cannot substantiate. Google's AI Overviews are generated dynamically based on a range of signals, and no third party controls what appears in them.

What this process does is build the specific signals: content structure, entity architecture, author credibility, third-party citations: that are most strongly associated with AI Overview appearances. The work is designed to produce that outcome, but the final decision is Google's.

Monthly reporting covers AI Overview appearances for target queries, ranking changes across the topic clusters in scope, citation and credibility signal growth, and a documented summary of what work was completed and what is planned next.

Every deliverable is logged and reviewable. The approach is built on the principle that you should be able to evaluate everything that was done and understand why: not take the results on faith.

Multi-location businesses benefit from the entity architecture approach because each location can be structured as a distinct but related entity, connected to the broader organizational authority. This allows the credibility built at the brand level to support local visibility, while each location builds its own relevance signals for its specific geographic market. The content and citation work is scoped to cover the locations and topics that matter most within your budget.
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