- 01Technical SEO — architecture, schema, CWV, indexation
- 02Content + topical authority gap analysis
- 03Authority + backlink quality + risk assessment
- 04AI search + GEO visibility (50+ priority queries)
- 05Strategic 90/180/365-day execution roadmap
- 06Stakeholder workshops (3-5 sessions, 60 mins each)
- 07Custom GA4 + GSC + log-file data joins
- 08Executive deck + walkthrough + roadmap hand-off
Most paid SEO audits are 50-page tool reports.
Diligence-grade audits look different.
A standalone, fixed-scope SEO audit deliverable built for buyers who need depth without a retainer commitment. M&A diligence, competitive benchmarking, RFP preparation, CFO/board-level stakeholder alignment. 5 modules. 4-6 weeks. Joel leads personally.
What is a paid, diligence-grade SEO audit?
A diligence-grade SEO audit is a standalone, fixed-scope deliverable produced as a third-party analytical report — not as a lead magnet, not as the opening week of a retainer engagement. The deliverable is the product. The engagement ends at delivery.
Distinct from the free audit (which is a 15-25 page lead-magnet deliverable, 5-7 day turnaround, manually reviewed but templated against tooling output) and from ongoing technical or full-service engagements (which include audit work as the opening phase of multi-quarter programs). The paid audit sits in between: deeper than the free version, narrower than an ongoing engagement, built for buyers whose decision-rights end at the audit level.
The buyer profile is sophisticated. They already know what SEO is. They have an existing SEO program or are deciding whether to start one. They want third-party analytical depth they can defend internally — to an investment committee, a CFO, a board, or a vendor RFP process. Free audits don't carry weight in those rooms. Embedded ongoing-engagement audits carry implicit conflict of interest. The diligence-grade standalone audit fills the gap.
Five analytical modules.
One synthesis layer.
One executable roadmap.
Technical SEO Audit
Site architecture, schema graph, Core Web Vitals, JS rendering, crawl budget, indexation health.
Full Screaming Frog crawl of the entire URL inventory, log-file ingestion if accessible, GSC URL Inspection batch run at scale, schema graph validation across every template, Core Web Vitals field-data analysis from CrUX. Output is a route-by-route classification of indexation health, an architecture map with click-depth analysis and orphan-page list, the schema rebuild plan with code samples, the LCP/INP/CLS bottleneck identification per template with prioritised fix list, and the crawl-budget waste analysis with named parameter rules and robots.txt rewrites. This is the engineering layer — the deliverable is built so an engineering team can execute from it without translation.
Content + Topical Authority Audit
Content gaps vs competitors, cannibalisation analysis, topic-cluster mapping, 90-day content roadmap.
Topic-cluster map of the existing content portfolio, gap analysis against the top 3-5 competitors at the topic and query level, cannibalisation detection (multiple URLs ranking for the same query, splitting authority and click-through), thin-content and duplicate-content flagging, and a 90-day content roadmap prioritised by topical authority gap and conversion intent fit. We map every content asset to a topic cluster, every cluster to a strategic priority, every priority to a measurable target. Output ends with the roadmap — what to write, in what order, supporting which clusters, with the internal-linking plan to channel authority correctly.
Authority + Backlink Audit
Backlink quality, anchor distribution, lost-link recovery, competitor link gap, toxic-link risk.
Full Ahrefs and Majestic ingestion, manual sample review of the top 200 referring domains for quality classification, anchor-text distribution analysis (over-optimisation flags), lost-link recovery list with named outreach targets, competitor link-gap analysis at the domain and page level, and a toxic-link risk assessment with disavow recommendations only where the risk is meaningful (most sites don't need disavow files; some do — this is where the diligence layer matters). For M&A diligence engagements, this module is often the highest-stakes — a backlink portfolio carrying material penalty risk is a quantifiable deal valuation factor.
AI Search + GEO Visibility Audit
Mention Layer baseline across ChatGPT, Perplexity, Gemini, Claude, Google AI Overview. Citation share, competitor benchmarking.
Mention Layer baseline scan across the five major AI search surfaces — ChatGPT, Perplexity, Gemini, Claude, and Google AI Overview — for 50+ priority queries derived from your category, branded search, problem-aware queries, and competitor names. Output includes citation share by engine and query class, source-attribution analysis (which domains AI engines are citing for your category), competitor benchmarking against the top 3-5 alternatives, schema-graph readiness review for LLM entity association, and a GEO content roadmap targeting the citation gaps. AI search visibility is the fastest-moving SEO surface in 2026 — the audit baselines current state and projects 90/180/365-day trajectory under the recommended interventions.
Strategic Roadmap + Prioritisation
90/180/365-day execution plan with effort/impact matrix, who-does-what hand-off (in-house vs agency vs hybrid).
Synthesis layer across all four upstream modules. Every finding ranked on a three-axis matrix: estimated SEO impact, engineering or content effort, strategic fit with stated business priorities. Output is a 90-day plan (foundational fixes, highest-impact-lowest-effort wins, baseline measurement infrastructure), a 180-day plan (compounding investments — content velocity, authority building, schema graph rebuild), and a 365-day plan (durable advantages — topical authority moats, AI-search citation share, original-data assets). Each workstream is tagged with hand-off model: in-house execution, agency execution, hybrid. The roadmap is written to be executed by any competent operator — it is not a sales document for our retainer. Most clients use it as their working SEO operating plan for the year following delivery.
Four use cases.
Each one with a different buyer
and a different definition of success.
Pre-acquisition diligence
Buyer commissions an independent audit on the target's site as part of broader commercial diligence. Examines whether organic rankings are durable or vulnerable, backlink portfolio is clean or carrying penalty risk, technical architecture is stable or carrying migration debt, content portfolio is defensible or algorithm-fragile. Deliverable lands as a third-party report shareable with investment committee and usable as a counter-narrative in deal negotiation. NDA-scoped. Common at LMM and lower-end mid-market for digital-native or content-heavy acquisitions.
Competitive benchmarking
Large brand wants an independent assessment of where they actually stand on technical, content, authority, and AI-search visibility against named competitors. The diligence audit produces a benchmarked scorecard with finding-level evidence and a roadmap closing the priority gaps. Deliverable supports executive strategic planning, board-level reporting, or pre-budget-cycle prioritisation. Distinct from ongoing engagement work because the buyer wants a snapshot read, not a multi-quarter program — though many move into engagement after the audit.
Agency RFP preparation
In-house marketing or growth team wants an independent, third-party read on the SEO surface area before issuing an agency RFP. The audit identifies the workstreams that need agency support, sizes the scope of each workstream, and produces an evaluation framework the team uses to assess incoming agency pitches. We deliver the audit knowing the buyer is highly likely to engage a different operator on the implementation — and that's the right structure. Independent audit, separate vendor selection, no implicit conflict of interest.
Internal stakeholder alignment
CMO or VP-level sponsor needs an independent, executive-grade deliverable to make the case for SEO investment internally. Internal analysis carries political weight; third-party diligence carries cross-functional credibility. The audit lands as an executive presentation deck plus the supporting working document, structured around the financial argument: cost-per-acquired-customer modelling, organic-vs-paid LTV comparison, projected return under recommended interventions, downside risk under no-intervention scenario. Common precursor to budget approval cycles and SEO-program funding decisions.
The diligence-grade audit
as a standalone product is rare.
Most SEO audit deliverables fall into one of two categories. Free-tier shallow — the lead-magnet audits, the tool reports with agency logos, the 30-minute screen-share that's actually a sales call. Or embedded in ongoing engagement — the audit is the opening month of a 12-month retainer, only available if you sign the retainer, structured as a deliverable inside the engagement rather than a deliverable in itself.
The diligence-grade audit as a standalone, fixed-scope, third-party deliverable sits in a gap most agencies don't serve. Either they don't have the senior bench to produce the analytical depth, or the model conflicts with retainer-acquisition incentives, or the audit work gets cannibalised by the discovery-call funnel.
We deliver it because the demand is real and the deliverable produces standalone value — often used in M&A diligence, RFP prep, or stakeholder work where the buyer's decision-rights end at the audit level. The audit is the product. About 30% of paid-audit clients never engage further; about 30% engage a different operator after; about 40% move into an implementation engagement with us. All three outcomes are fine because the audit was the deliverable.
Fixed scope.
Fixed fee.
50/50 payment split.
Engagement structure designed to remove ambiguity. Scope locked at the engagement letter, fee locked at signing, deliverables locked at the timeline. No retainer, no auto-renew, no scope creep.
Timeline — 4 to 6 weeks, weekly milestones
Week 1: kickoff workshop, stakeholder interviews (3-5 sessions, 30-45 mins each), data access provisioning. Weeks 2-3: parallel module execution across the 5 audit modules. Week 4: synthesis, prioritisation matrix, roadmap construction. Week 5: document finalisation, executive presentation deck, walkthrough sessions. Week 6: revisions and follow-up window. Most audits land in week 5. We commit to the timeline at kickoff.
Fee range — $5K to $15K typical scope
Pricing reflects site complexity, URL count, language scope, and number of stakeholder workshops. Single-property mid-market audits typically price $5K-$8K. Multi-property or large-content-portfolio audits price $8K-$12K. Complex enterprise scopes — international, multi-language, 100K+ URL inventory, or M&A diligence with extensive competitive benchmarking — typically price $15K-$35K and quote independently. We tighten the range after the discovery call, not before.
Payment terms — 50/50, no retainer commitment
Half on signed engagement letter, covers weeks 1-3 of work. Half on delivery of the final document and executive walkthrough. No retainer attached, no auto-renew, no implicit commitment to follow-on engagement. Some buyers want roadmap office hours after delivery (4 hours per month, 90 days, billed at retainer rates). Some buyers move into full implementation engagements priced independently. Some buyers do nothing further. All three patterns are common.
Out-of-scope items — explicit, priced separately
Engagement letter spells out what's in scope (the 5 modules, named stakeholder workshops, GA4/GSC/log-file ingestion, the deliverable format) and what's out of scope at base pricing (international expansion past the named property scope, custom dashboard builds, additional competitor benchmarking past 5 competitors, follow-on implementation hours). Out-of-scope items get priced separately and added to the engagement letter as addenda — no surprise line items at delivery.
Deliverable format — 50-80 page working document
Primary deliverable is a 50-80 page working document covering the 5 modules with prioritised findings, code samples for technical fixes, content roadmap with named queries and topic clusters, link-gap and outreach target lists, AI-search citation baseline, and the 90/180/365-day execution roadmap. Supporting deliverables: executive presentation deck (15-20 slides, board-ready), walkthrough video recording, raw data exports (GSC, GA4, Ahrefs, Mention Layer), and a Notion/Drive shared workspace with all source files.
Diligence-grade work
requires a senior bench.
Most agencies don't have one.
Third-party audit credibility depends on five things: published methodology, named senior operator, original analytical capacity, defensible track record, and independence from the implementation decision. We check all five.
Published methodology, defensible to outside review
Joel House wrote The Growth Architecture and AI for Revenue, both on Barnes & Noble at 5.0 stars. The audit methodology is the published methodology — same prioritisation framework, same effort/impact matrix, same 90/180/365-day roadmap structure. When the audit lands in front of a CFO, an investment committee, or a board, the methodology is defensible because it's published, citable, and externally reviewable. Most diligence-grade work fails on this dimension — the methodology is internal, opaque, and unreviewable.
Joel personally leads the strategic interpretation
Strategic interpretation, stakeholder workshops, the final roadmap synthesis, and the executive walkthrough are all Joel's work — not delegated to a junior or director. Supporting analytical layers (Screaming Frog, Ahrefs, Mention Layer, GSC batch inspection, log-file ingestion) are run by senior analysts, but the interpretation is Joel's. This is one reason audits take 4-6 weeks and price what they do; it doesn't scale by adding juniors.
Original analytical capacity — Mention Layer + custom data joins
The audit ingests data most operators can't ingest — log files at scale, GSC URL Inspection batch results across 10K+ URLs, custom GA4 query joins, Mention Layer AI-search baseline across 5 engines and 50+ priority queries. Mention Layer is our internal AI-search visibility platform; the baseline scan it produces isn't available from any other operator at this engagement size. The deliverable depth comes from the data the analysis is grounded in.
300+ portfolio across $96M+ client revenue
The track record is real and measurable — 300+ businesses worked with, $96M+ in attributed client revenue, 94% retention on engagements, 200+ #1 rankings shipped. For diligence work this matters because the buyer needs to know the operator has seen the patterns before, can recognise category-specific signals, and won't be the first time the methodology has been applied to a similar buyer-archetype. Forbes coverage and the published books reinforce the bench credibility for outside-review contexts.
Independent of the implementation decision
Roughly 30% of paid-audit clients engage a different operator on the implementation, 30% take the audit and execute in-house, and 40% engage with us. We're fine with all three outcomes because the audit fee covers the audit work — the engagement decision is independent. This matters for diligence-grade work because the buyer needs to trust the audit isn't pre-engineered to recommend the auditor's own follow-on services. The roadmap is written to be executable by any competent operator, agency or in-house.
The SEO surfaces around the diligence audit.
What sophisticated buyers ask before commissioning a paid audit.
Your CFO needs a third-party deliverable.
Free audits don't carry weight in that room.
30-minute scoping call. We'll walk through your audit objective, map the analytical scope, identify stakeholder workshop needs, and quote a tightened fee range. No deck. No “we'll get back to you with a proposal.” The scoping call ends with a defined engagement letter or a clean “not the right fit.”