3 Audits per month · limited availability

The Algorithmic
Authority Audit.

Complete 7-Layer Diagnostic with Implementation Kit for B2B Companies and Founders

The full system map · 3 weeks.

Every layer of the Algorithmic Authority Stack diagnosed using internal data plus external surfaces. A 30 to 45 page written report. An 8-component Implementation Kit your team executes against. Optional interactive dashboard. Two strategic calls. The complete diagnostic.

Pattern-matched against 50+ B2B companies audited, plus the Algorithmic Authority Index

Request Your Audit · $4,500

3-week turnaround. PDF + Kit + Dashboard + 2 calls. 90-day re-run guarantee.

Maria Dykstra · AI Visibility Architect Microsoft (13 yrs) · Forbes · LinkedIn Top Voice · Creator of the Algorithmic Authority Stack
What the Audit Reveals

Snapshot answers "what." Audit answers "what, in what order, and how."

Most B2B companies and founders are invisible to AI systems and do not know it. They publish content. They optimize for search. They build authority signals. AI still cannot explain what they do.

The Audit tests your entity against the seven structural layers that determine whether AI systems see you, understand you, and recommend you. It identifies every active failure. It sequences the fixes in the order they must be addressed. It provides the Implementation Kit your team executes against.

The pattern across 50+ B2B companies audited is consistent: the failure is structural rather than editorial. Identity fragments. Semantics drift. Content reads well and extracts badly. The Audit names every break and shows the dependency order.

Two Tracks · Same Price

Same diagnostic. Different Implementation Kit. $4,500 either way.

The Algorithmic Authority Stack diagnoses companies and founders with identical methodology. What differs is the subject and the Implementation Kit. The buyer selects the track at intake.

Company Track

Your company is the brand

Buyers hire the firm. AI needs to recognize the company as a category entity. Internal teams or agency partners execute the Implementation Kit.

Surfaces tested: homepage, About page, LinkedIn company page, directory listings, press mentions. Internal data: Google Search Console, Bing, Google Analytics.

Kit focus: schema, content retrofit, crawler access, semantic anchors, surface reconciliation. Eight components.

Founder Track

Your name is the brand

Buyers hire you, not a company. Solo founders, fractional executives, category creators. AI needs to recognize the person as an expert entity.

Surfaces tested: LinkedIn profile, personal site, podcast guest bios, conference speaker bios, newsletter About page, X bio.

Kit focus: profile rewrites, bio templates, content extraction, podcast outreach, engagement rotation. Ten components.

The Algorithmic Authority Index · Wave 1 Results

We tested 20 companies across 5 industries. Here is what broke.

The Algorithmic Authority Index is a structured study testing real companies against the 7-layer framework across ChatGPT, Perplexity, and Gemini. These are the findings from Wave 1. Read the full Index methodology and findings →

69%
Platform agreement rate. ChatGPT, Perplexity, and Gemini disagree on citations 31% of the time.
100%
Layer 4 failure rate. Every company tested failed Training-Ready Content. Universal structural gap.
80%
Identity fragmentation rate. 4 out of 5 companies described themselves differently across surfaces.
0
Companies with clean scores across all 7 layers. Every company had at least 3 structural failures.

Key Findings

The Tier Paradox
Smaller companies with clean category ownership outperformed larger competitors in AI citations. Structural clarity predicts visibility. Company size does not.
The Deloitte Paradox
The company with the highest content volume had the lowest citation authority. Publishing more made them harder to cite. Volume without structure is noise.
Platform Divergence
ChatGPT, Perplexity, and Gemini cite different companies for the same query 31% of the time. Optimizing for one AI platform is not a strategy.
Universal L4 Failure
Zero companies passed Layer 4 (Training-Ready Content). The content reads well for people and extracts badly for machines. This is the single biggest fixable gap in B2B.
The Research Behind the Audit

Two evidence types. Both additive. Both visible.

Pattern recognition that informs how the Audit weights the seven layers comes from two sources. Neither is hidden. Both compound.

The Dataset

50+ B2B companies audited. Proprietary client engagements. Pattern recognition that informs how the seven layers are weighted during your diagnostic.

20 companies in Wave 1 of the Algorithmic Authority Index. Systematic public research with full methodology disclosed. 5 industries, 3 AI platforms, 420 assessments. The structured study your audit is calibrated against.

Wave 2, published July 2026. Four industry snapshots: cybersecurity, industrial B2B, healthcare, and fintech. Each deep-dive covers 120 vendors across 12 sub-categories and 3 platforms.

Apply for the Next Industry Snapshot →
What Gets Tested

Seven layers. Each tested. Each scored. Each tied to a guide.

Each layer has a published guide explaining the failure pattern in depth. Read any of them before purchasing the Audit.

L1
Market Identity Clarity
Does your entity describe itself consistently across surfaces? Tested across LinkedIn, your website, guest bios, directory listings, press mentions, and job postings for Identity Fragmentation.
Read the diagnostic guide
L2
Expertise Architecture
Can AI systems verify your expertise? Analyzes how your knowledge is structured, credentialed, and connected to authoritative sources.
Read the diagnostic guide
L3
Semantic Density
Are you using consistent, machine-friendly language? Tests for Semantic Drift and terminology collision: how many terms you use for the same concept, and where you collide with terms competitors own.
Read the diagnostic guide
L4
Training-Ready Content
Is your content structured for AI citation? Audits content length, data density, source citations, expert attribution, and structural patterns against what AI systems actually cite. The universal failure point in the Index.
Read the diagnostic guide
L5
Algorithmic Touchpoint Presence
Are you present on the surfaces AI systems actually index? Cross-platform citation gap analysis. Crawler access verification at the server level. One surface is not enough.
Read the diagnostic guide
L6
Trust and Proof Signals
Does your presence signal authority to AI? Analyzes third-party validation, press mentions, entity resolution, Trust Seed substitution behavior, and earned mention inventory against your competitors.
Read the diagnostic guide
L7
Visibility Measurement
Are you tracking AI citations? Establishes Share of Model baseline across ChatGPT, Perplexity, Google AI Overviews, and Copilot. Sets the measurement protocol the buyer reuses at 90 days.
Read the diagnostic guide

See all AI Visibility Guides →

What You Receive

Four deliverables. Engineered to compound.

Every artifact below is yours at delivery. The Audit produces structured outputs your team can act on, share with partners, and re-measure against.

Deliverable 01

30 to 45 Page Written Report

Twelve sections. Executive Summary, Methodology, Share of Model Baseline, layer-by-layer diagnosis across all seven layers, Competitive Reverse-Engineering, and the Sequenced Fix Plan. PDF format.

Deliverable 02

Implementation Kit

Eight components (Company Track) or ten components (Founder Track). Every fix specified at the level of "replace X with Y on this URL" with copy-paste-ready snippets. Your team executes against the Kit.

Deliverable 03

Interactive Dashboard (Optional)

Password-protected, hosted on Netlify, custom URL per buyer. Executive Summary, Share of Model dashboard, layer status grid, competitive comparison, Implementation Kit downloads, 90-day Re-Run portal.

Deliverable 04

Two Strategic Calls

Kickoff and Scoping (45 min, week 1) confirms access, competitors, and the 20 prompts to test. Findings Walkthrough (45 min, week 3) walks through Executive Summary, the Sequenced Fix Plan, and next steps.

The Implementation Kit · Company Track

Eight components. Every fix specified.

The Audit report tells your team what to fix. The Implementation Kit tells them exactly how. Copy-paste-ready specifications, specifically located, with success criteria and owner assignments. The Founder Track Kit has ten components and swaps the surface work for profile, bio, and content-production specifications.

Kit 01

Schema Pack

JSON-LD blocks for every recommended schema type. Organization with sameAs URLs. Person schemas for named experts. Article, FAQPage, DefinedTerm. Validation links per snippet.

Kit 02

Crawler Access Configuration

robots.txt recommended file in full. Cloudflare and WAF bot rule recommendations with screenshots. Bing Webmaster Tools submission steps. Per-crawler verification process.

Kit 03

Layer 1 Identity Reconciliation Worksheet

Spreadsheet of every surface. Current description per surface. Recommended canonical description. Update priority and difficulty per surface.

Kit 04

Semantic Anchor Vocabulary Sheet

Five core concepts with the recommended anchor term per concept. Banned variants per concept. Distribution list for every team writing for the company.

Kit 05

Content Retrofit Specifications

Top 10 highest-traffic pages. Paragraph-level rewrite instructions. Where to insert direct answers, evidence markers, named author bylines, and schema.

Kit 06

Share of Model Tracking Sheet

Template with the 20 prompts to run monthly. Calculation formulas for Mention Share, Citation Share, Recommendation Share. Trend chart template.

Kit 07

90-Day Implementation Checklist

Weekly breakdown. Named owners per task. Deliverable specifications. Success criteria. Reroutable for team size and structure.

Kit 08

Audit Re-Run Protocol

90-day Share of Model re-run methodology. Before/after comparison template. Decision tree for what to do if no movement.

The Methodology

Tools extract. Humans analyze. Pattern matching produces sequencing.

The Audit applies the proprietary 7-layer Algorithmic Authority Stack diagnostic framework to your entity using a combination of browser automation, data pipeline processing, custom analytical methodology, and orchestration tooling.

Why this produces what tool-only outputs cannot

Tools extract data at scale across AI platforms, search performance systems, surface content, structured data implementations, and third-party corroboration sources. Human analysis interprets the extracted signals against the Algorithmic Authority Index and against 50+ B2B companies audited across five industries and three AI platforms.

Pattern matching against that dataset produces the sequencing logic: which layer is breaking first, which fixes unblock which other fixes, and what your profile shares with entities that have closed similar gaps. This sequencing is the diagnostic IP. It is the reason the Audit is a fundamentally different deliverable from any tool-only output.

Tier 1
Direct observation. Diagnosed from data the Audit collected.
Tier 2
Triangulated. Confirmed against the Index pattern library.
Tier 3
Bounded. Flagged for deeper diagnosis or measurement post-fix.
Optional · Included

Interactive Dashboard. Password-protected. Yours for the engagement.

Audit buyers who want a navigable presentation of the findings beyond the PDF receive a custom-URL dashboard hosted on Netlify. Executive Summary panel. Share of Model dashboard with per-platform breakdown and trend lines. Layer-by-layer status grid (red/yellow/green with click-through to detail). Competitive comparison interactive grid. Implementation Kit downloads in one place.

The dashboard creates a re-engagement surface at the 90-day mark. When Share of Model is re-measured, the dashboard updates with before-and-after data. Some buyers prefer the PDF. Some prefer the dashboard. Both are included.

The Diagnostic Accuracy Commitment

90-day Share of Model re-run. Free follow-up if no measurable improvement.

The structural commitment, in writing.

The Tier 1/2/3 confidence system in the report flags where my confidence is high and where additional data would sharpen the diagnosis. Tier 3 findings are explicitly flagged as "deeper diagnosis required."

If your team ships the recommended fixes and sees no measurable structural improvement at 90 days, I run a follow-up diagnostic at no additional cost to identify what was missed. The 90-day Share of Model re-run is the structural feedback loop.

The commitment covers structural changes that survive model updates. AI platforms incorporate structural changes on their own cadence. The diagnosis is what I control. The methodology is reviewed quarterly to keep diagnostic accuracy strong.

Not Ready for $4,500?

Start with the Snapshot.
$497. 48 hours.

The AI Visibility Snapshot tests your external surfaces against the Algorithmic Authority Stack and names the upstream layer breaking first. A 6 to 8 page written diagnostic. Optional 20-minute review call. No internal data access required.

If you upgrade to the full Audit within 30 days, the full $497 applies as credit. The Snapshot is the lowest-risk way to verify the diagnostic methodology before committing to the Audit.

Run the Snapshot · $497

48-hour written delivery. Credits toward the Audit. No call required.

Investment

$4,500. 3 weeks. Complete diagnostic system.

Both Company Track and Founder Track at the same price. The diagnostic depth is identical. The Implementation Kit differs by what gets shipped, not by how much work goes into the diagnosis.

The Algorithmic Authority Audit
$4,500

What is included

  • 30 to 45 page written report (12 sections, PDF)
  • Implementation Kit (8 components Company Track, 10 components Founder Track)
  • Optional Interactive Dashboard (password-protected, Netlify-hosted)
  • Two strategic calls (Kickoff + Findings Walkthrough)
  • Cross-platform Share of Model baseline (20 prompts × 4 platforms = 80 measurements)
  • 90-day Share of Model re-run protocol
  • Free follow-up diagnostic if no measurable improvement at 90 days
If your team needs Maria's team to ship the fixes: Implementation runs at $4,000 per month across a 90-day initial term ($12,000), then continues month to month at the same rate with 30 days notice to stop. Audit plus the 90-day build is $16,500. Modules attach to any month for expanded scope.
Book a Diagnostic Call · 15 min

Quick call to confirm scope, track selection, and turnaround. No sales pressure.

Questions People Actually Ask

Direct answers. No marketing softening.

The version of the conversation that would happen if we were already on a call together.

Question 01

Why $4,500 when I can hire a fractional CMO for the same money?

You can. A fractional CMO is the right partner for ongoing marketing execution across all channels. The Audit is the diagnostic that tells them what to execute on AI visibility specifically. The two run together. Many of the AAPN partners I work with are fractional CMOs who use the Audit to inform the work they do for their clients. Hire your fractional CMO. Buy the Audit. They run together.

Question 02

Is the Audit just an SEO audit dressed up in AI language?

No. SEO audits look at how Google ranks pages. The Audit looks at how AI systems classify, retrieve, and cite entities. The Stack diagnoses seven structural layers that have no SEO equivalent: identity resolution, expertise architecture, semantic density, training-ready content, touchpoint presence, trust signals, and visibility measurement. SEO fundamentals correlate with AI visibility. Keyword and link-building tactics do not. You can have a perfect SEO audit and still be invisible to AI.

Question 03

What if your Audit findings are wrong?

The 90-day Share of Model re-run is the accuracy check. If your team ships the recommended fixes and sees no measurable structural improvement at 90 days, I run a follow-up diagnostic at no additional cost to identify what was missed. This is a structural component of the Audit, written into how the engagement works. The Tier 1/2/3 confidence system also flags up front where my confidence is high and where additional data would sharpen the diagnosis.

Question 04

Three weeks is too long. Can you do it faster?

3 weeks is the right length for genuine depth. Faster compresses analysis time and risks lower quality. Rush turnaround available at +50% fee ($6,750 for 10 business days). Beyond that, the diagnosis loses the depth that justifies the price.

Question 05

Do I need to buy the Snapshot first?

No. You can buy the Audit directly. The Snapshot is the entry-level diagnostic for buyers who want to verify they have a problem before committing $4,500. If you already know AI is not naming you and you want the full diagnosis, skip the Snapshot. If you bought the Snapshot first, the fee applies as full credit toward the Audit within 30 days.

Question 06

I have an in-house SEO team. Can't they do this?

If they have the Algorithmic Authority Stack methodology, the Index pattern library, the multi-tool extraction workflow, and diagnostic experience across 50+ B2B companies, yes. Most in-house teams have none of these. The Audit produces the diagnostic. Your SEO team executes the fixes from the Implementation Kit. That is the right division of labor.

Question 07

What does the Implementation upgrade actually include?

Implementation runs at $4,000 per month across a 90-day initial term ($12,000), then continues month to month at the same rate with 30 days notice to stop. Baseline scope: Maria's team ships the highest-priority Implementation Kit components. Schema deployment. Layer 1 surface reconciliation. Top 5 content retrofits (Company Track) or profile rewrites plus content production (Founder Track). Crawler access verification. Share of Model re-measurement at month 3. Modules attach to any month at defined prices for expanded scope.

More questions? Contact Maria →

Algorithmic Authority Audit · $4,500

Stop guessing
what is breaking.

3-week diagnostic. 30 to 45 page report. Implementation Kit your team executes against. Optional dashboard. Two strategic calls. 90-day Share of Model re-run with free follow-up if no measurable improvement.

Book a Diagnostic Call · 15 min
Track selection confirmed at intake (Company or Founder)
3-week turnaround from intake completion
Implementation available at $4,000/month (90-day initial term)
Snapshot fee credits toward Audit (within 30 days)
3 Audits per month · next available slot may be following month

Questions before booking? Contact Maria →

What changed in AI retrieval this month.

One brief. The patterns your competitors aren't tracking yet. Covers ChatGPT, Perplexity, and Google AI Overviews. Published monthly.

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