Agency Intelligence Services

What Is AI Search Actually Saying About Your Clients?

We audit how AI systems like Google's AI Overviews, ChatGPT, and Perplexity represent your clients' brands and services: then give you a documented, actionable report your team can build on.
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Price varies based on the complexity of the client's vertical, the number of competitors included in the comparison, and geographic scope. A client operating in a single metro area requires a narrower query set than one operating nationally. We confirm scope before invoicing.

Starting at $1,800 per audit
Starting at
Quick Answer

What is AI-Driven Insights for SEO Agencies?

AI-driven insights services for SEO agencies audit how large language models and AI Overview systems represent a client's brand, services, and authority signals across Google, ChatGPT, and Perplexity.

The output is a documented report identifying gaps between how a brand intends to be described and how AI systems actually surface it. Agencies use these audits to prioritize entity authority work, structured data updates, and citation source improvements. Most audits reveal at least two material misrepresentations that standard rank-tracking tools never surface.

Martial Notarangelo
Martial Notarangelo
Founder, Authority Specialist

What is AI-Driven Insights for SEO Agencies?

Most SEO agencies using Most SEO agencies using white label services are optimizing for a search landscape that is changing faster than their reporting tools can track. are optimizing for a search landscape that is changing faster than their reporting tools can track.

Traditional rank trackers identifying growth blockers They do not show whether an AI system is recommending your client: or recommending a competitor instead. That gap is where revenue disappears quietly.

When a prospective patient, investor, or financial services marketing legal client types a question into an AI assistant, the answer they receive is shaped by a set of signals that most agencies are not yet measuring.

Entity recognition, topical authority, citation patterns, citation patterns, structured data completeness, and Entity recognition, topical authority, citation patterns, structured data completeness, and source credibility all factor into what gets surfaced: and what gets ignored. all factor into what gets surfaced, topical authority, citation patterns, structured data completeness, and source credibility all factor into what gets surfaced: and what gets ignored.

This service is built for SEO agencies that want to understand exactly where their clients stand in that environment, and what needs to change. We deliver structured, documented insights your team can use: no vague recommendations, no black-box scores.

We run a systematic audit of how AI search systems currently represent each client: examining which entities are recognized, which sources are being cited, and where the client is absent from AI-generated answers in their category.

We then document the specific gaps between where the client currently appears and where they should appear, given their credentials and market position. The output is a clear, structured report your agency can use to prioritize content decisions, technical fixes, and authority-building work.

Every finding is tied to a specific observation, not a generic recommendation. This is not a tool subscription. It is a delivered intelligence service run by specialists who understand regulated and high-trust verticals.

We find out whether AI assistants know your client exists: and if they do not, we show exactly what is missing and what to fix first.

Starting Investment

Plans start at Starting at $1,800 per audit. Price varies based on the complexity of the client's vertical, the number of competitors included in the comparison, and geographic scope. A client operating in a single metro area requires a narrower query set than one operating nationally. We confirm scope before invoicing.
What's Included

Comprehensive Coverage

01

AI Answer Landscape Mapping

We query AI systems across the search categories most relevant to your client's business and document exactly what those systems return. We note who gets cited, what entities are recognized, and where your client is absent.
02

Entity Recognition Audit

AI systems build a model of who and what a business is based on structured data, third-party references, and consistent information across the web. We assess how completely and accurately your client is represented in that model.
03

Citation Source Analysis

AI systems pull from a specific set of sources when generating answers. We identify which sources are being cited in your client's category and assess whether your client is present in those sources at an appropriate level.
04

Competitor AI Presence Comparison

We document how direct competitors appear in the same AI queries and surface the specific signals those competitors have that your client does not. Every comparison is specific to observed data, not assumption.
05

Structured Data and Technical Signal Review

We review the technical signals on your client's site that AI systems use to understand and categorize content: including schema markup, author information, organizational data, and credential documentation.
06

Documented Recommendations with Priority Ranking

Every finding comes with a specific recommendation and a priority ranking based on estimated impact and implementation effort. Nothing is vague. Every recommendation is tied to an observation.
How We Work

Our Process

1

Intake and Vertical Briefing

Before we run a single query, we learn the client's specific practice area, service geography, licensing structure, and competitive context. AI visibility is highly specific to vertical and location. A personal injury firm in Phoenix and one in Boston face entirely different AI landscapes. We do not use a one-size approach.
2

AI Answer Landscape Queries

We run the approved query set across Google AI Overviews, ChatGPT, Perplexity, and relevant AI-assisted search environments. We document every response in detail: what was said, who was cited, what entities were recognized, and where the client appeared or did not appear.
3

Entity and Technical Signal Review

We audit the client's site and digital presence for the structured data and entity signals AI systems use to categorize and recognize businesses. This includes schema markup completeness, NAP consistency, author credential documentation, and third-party entity confirmation sources.
4

Competitor AI Presence Documentation

We run the same query set against the client's direct competitors and document how those competitors appear in AI-generated answers. We identify the specific signals: citations, entity data, structured markup, credential documentation: that appear to be contributing to competitor visibility.
5

Report Compilation and Priority Ranking

We compile all findings into a structured report formatted for agency use. Every observation is documented with its source. Every recommendation is ranked by estimated impact and implementation effort. The report is designed to be handed directly to a client or used internally by your team without requiring additional interpretation.
6

Walkthrough Session

We schedule a working session with your team to walk through the report findings, answer questions, and discuss implementation sequencing. This is not a sales call. It is a working review designed to make sure your team can act on the report without friction.
Deliverables

What You Receive

AI Visibility Audit Report

A structured document covering all findings from the query audit, entity review, and competitor comparison. Every finding is sourced and every recommendation is specific. Formatted for both internal team use and client presentation.

Ranked Action List

A standalone prioritized list of all recommended actions, ordered by estimated impact and effort. Built to be assigned and tracked directly in a project management system.

Citation and Source Map

A documented map of which publications, directories, and reference sources are currently being cited in your client's category by AI systems: and which of those sources your client is currently present in.

Entity Signal Gap List

A specific list of missing or incomplete structured data elements, credential documentation gaps, and entity confirmation sources that are affecting AI recognition.

Competitor Signal Comparison Matrix

A side-by-side table comparing your client's AI-relevant signals against each primary competitor, showing exactly where gaps exist and which gaps appear most material.

Summary Slide Deck

A clean, client-ready presentation summarizing the key findings and top recommendations. Built for your agency to present to the client directly, with your branding if required.

Recorded Walkthrough Session

A recorded video of the team walkthrough session your agency can reference during implementation or share internally.
Benefits

Why Teams Choose This

A New Service You Can Charge For

Client Retention Conversations That Are Actually Specific

Implementation Work Your Team Already Knows How to Do

Documented Evidence You Can Show the Client

Vertical-Specific Analysis, Not Category-Level Generalizations

Ideal For

Best Fit Teams

SEO agencies with clients in legal, healthcare, or financial services

Agencies facing client retention questions about AI search

Agencies looking to add a differentiated offering at the proposal stage

Agencies serving clients with established domain authority who are not appearing in AI answers

Agencies building a structured reporting layer for enterprise clients

FAQs

Frequently Asked Questions

Most AI readiness tools produce a score based on a checklist of general signals. They do not run actual queries, document what AI systems are returning, or compare your client to specific competitors.

This service produces a documented report based on observed AI behavior in your client's specific query space. Every finding has a source. The recommendations are ranked by impact, not listed alphabetically.

If your client is in a regulated vertical, the difference between a general score and specific documented findings is significant: both for your credibility and for the quality of work that follows.

Yes. The report is formatted specifically for that purpose. The summary slide deck is built as a client-facing presentation. For agency pack and retainer clients, we offer white-label formatting on the summary deck at no additional cost.

The full audit report is written in plain language that a non-technical client can follow. We do not use unexplained technical terminology in client-facing sections of the report.

We run queries across Google AI Overviews (where active in the client's geography), ChatGPT with browsing enabled, Perplexity, and Microsoft Copilot search. The platforms included are confirmed during intake based on which are most relevant to the client's audience and vertical.

For some industries, certain platforms generate more consequential answers than others: we document that context in the report.

Most audits are delivered within 10 to 14 business days from completed intake. The timeline depends on the complexity of the client's vertical and the number of competitors included in the comparison.

We confirm the expected delivery date during intake before work begins. Rush delivery is available for single client audits in less complex verticals: contact us to confirm availability.

No specialized technical knowledge is required to read the report or act on its recommendations. The findings are written in plain language. The action list is formatted for project management: each item includes what to do, why it matters, and a rough priority level.

For items involving technical site changes, we describe what needs to happen at a level that any experienced SEO or web developer can act on without additional interpretation.

The service is calibrated specifically for legal, healthcare, and financial services: the verticals where AI systems are most actively generating high-intent answers and where entity authority and citation credibility carry the most weight.

We understand the specific regulatory language, professional credential structures, and citation sources that matter in these industries. If your client is in a different vertical, contact us to discuss whether the methodology applies.

The audit is a delivered intelligence service: we produce the findings and recommendations, and your agency handles implementation. This is deliberate. Your team knows your clients, their existing content, and their technical setup.

The report is designed to slot into your existing workflow, not replace it. If you need specialist support on specific implementation components: particularly entity building or structured authority content: we can discuss whether any of our other services are relevant.

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