Digital Snowstorm

SEO Audit Consultant Who Hands You a Roadmap, Not a Report

The audit is the blueprint for every campaign. I review your technical foundation, content, authority, and how AI search reads your site, then turn every finding into a prioritized 12-month roadmap with traffic forecasts and clear ownership. A basic SEO checklist won't move an enterprise site. A plan your C-suite approves and your team executes will.

50+ Brands Helped 9+ Years in the SEO Industry

SEO Audit · example.com4 of 60+ findings
P1Technical1,200 pages

Money pages canonicalized to the homepage

Fix Set self-referencing canonicals so each page can rank for itself.

P1ContentBuried answer

The page answers the query in paragraph five

Fix Lead with the direct answer in the first 40 to 80 words.

P2Authority18 mentions

Unlinked brand mentions left on the table

Fix Reclaim them as links from sites already citing you.

P2AI SearchNo stats cited

Content has nothing for AI engines to quote

Fix Add sourced statistics and named expert quotes per section.

Brands I've Worked With

WW (Weight Watchers) Credit Sesame Charles and Colvard Thrive Market CocoaVia Yardbarker Backstage Helium 10
Why an Audit First

Most Audits Are a Checklist Nobody Acts On

A 200-row spreadsheet of errors doesn't change anything. At enterprise scale, even a minor development misstep can quietly throttle organic performance site-wide, and the real problem is rarely that no one found the issues. It's that no one turned them into a sequenced, funded plan the business will execute.

Generic, Not Calibrated

Most audits run a tool against best-practice defaults. They never map findings to your revenue model, so the "issues" don't match where the money actually is.

No Real Prioritization

Everything is flagged "high." With no impact-vs-effort scoring against your real constraints, teams freeze, fix the easy stuff, and the needle-movers sit untouched.

No Roadmap, No Buy-In

Findings without forecasts can't win budget. A list of problems gets dismissed; a plan that quantifies the upside in revenue gets approved and resourced.

Done right, the audit transforms from a dismissible checklist into a map to the value buried in your site. Working with a senior enterprise SEO consultant means the diagnosis, the priorities, and the forecast are all tied to revenue, not to a tool's default severity scores.

What Gets Audited

Four Dimensions, One Complete Picture

Most audits cover one layer. This one goes across all four that decide organic performance, plus the conversion and keyword work that turns rankings into revenue, so nothing important is missed and every finding is ranked by impact.

The Method

My Five-Phase Enterprise Audit

The same framework I published with Screaming Frog. Each phase feeds the next, so the audit builds toward one thing: a funded plan, not a pile of findings.

  1. Technical Audit

    Crawl the site with Screaming Frog, GA4, and Search Console layered in, then document every crawl, index, structure, and speed issue in plain language with a P1 to P4 priority.

  2. Content Performance

    Segment URLs into page groups and pull cross-platform data to find underperformers, judged on AI-readiness, E-E-A-T, keyword and semantic coverage, and conversion flow.

  3. Link Equity

    Map backlinks and internal link score by page group, audit anchors and referring-domain quality, and benchmark competitor profiles to see exactly where authority is missing.

  4. Keyword Strategy

    Run a content gap analysis against your top competitors, cluster the full keyword universe by intent, and forecast traffic and conversions for positions 1, 5, and 10.

  5. 12-Month Roadmap

    Organize everything into three to five strategic pillars with monthly sprints and clear ownership, so the plan speaks the language of revenue and budget, not SEO jargon.

The method is published, not proprietary. The full framework behind this engagement is documented in my guest post for Screaming Frog, How to Do an Enterprise SEO Audit the Right Way, and the audit templates I've built are still used as a company standard. You're hiring the person who wrote the playbook.

The Deliverable

A Roadmap, Not a Report

Findings don't sit in a PDF. Every audit produces a prioritized 12-month roadmap organized into three to five strategic pillars, each with traffic and impact forecasts and sprint-level ownership, so your team knows exactly what to do and in what order, and your C-suite can see the upside.

Every finding is mapped to the month it gets worked, the hours and cost it takes, and the team that owns it. That's the difference between a document of problems and a funded plan, and it's a living one: as priorities shift and early wins compound, the roadmap updates with them, so the plan you approve in month one still reflects reality in month nine.

  • Three to five strategic pillars ranked by traffic and revenue impact
  • Monthly sprint cycles with clear ownership for dev, content, and marketing
  • Traffic and conversion forecasts at positions 1, 5, and 10, enough to win buy-in
  • Estimated hours and cost per month, so the plan stays on budget
  • Dev-ready tickets for technical fixes, not vague recommendations
  • A living document, updated as priorities shift and wins compound

Expand Audience Reach

New and optimized content that captures demand across the full keyword universe.

Maximize Conversions

CRO and UX fixes so the traffic you earn turns into pipeline and revenue.

Increase Authority

Link building and digital PR to push pages from the second page into the top five.

Strengthen Technical

Indexation, speed, and architecture fixes that make the foundation ready to scale.

Strategic Support

Reporting, planning, and stakeholder communication that keeps the program funded.

The Deliverable, Up Close

Inside an SEO Audit

A sample of how I document findings across all four dimensions: every issue in plain language, a real example, the fix, and a P1 to P4 priority. The data below is illustrative, for a fictional outdoor-gear store.

SEO Audit · example.com60+ findings

Selected findings

Issue

Revenue and conversion pages never make it into Google's index, so they can't rank.

Example

Category page /tents/4-season has shown "Crawled, currently not indexed" in GSC for 38 days. Server logs show Googlebot last hit it 6 weeks ago.

Fix

Add it to the XML sitemap, build 3 to 4 internal links from the /tents hub and related posts, confirm it isn't blocked by robots or noindex, then request indexing and recheck crawl frequency in the logs.

Issue

Content only exists after JavaScript runs, so Google's first HTML fetch sees an empty shell.

Example

Product copy and prices are injected by React. view-source on /boots/alpine-pro returns only <div id="root"></div>; the content appears only in the rendered DOM.

Fix

Render product copy, price, and schema server-side or pre-render the HTML, then confirm the content appears in GSC URL Inspection's "View crawled page."

Issue

Filter combinations create near-infinite crawlable URLs of thin, duplicate content.

Example

/jackets?color=blue&size=m&sort=price and its permutations have bloated the index with 14,000 filter URLs.

Fix

Make the facets with real demand (e.g. color) clean, statically linked, indexable pages; block the rest with robots.txt and canonicals, and stop linking to filtered URLs in the nav.

Issue

Commercial pages get few in-body links and generic anchors, so they accrue little internal authority.

Example

/tents/4-season, a top revenue page, has just 2 internal inlinks, both from the footer with the anchor "click here."

Fix

Add contextual in-body links from relevant posts and categories using descriptive anchors like "4-season tents," sourced from your strongest, most-crawled pages.

Issue

Field metrics fall outside Google's "good" thresholds, hurting both rankings and conversions.

Example

Mobile CrUX data shows LCP 4.2s (target ≤2.5s), INP 310ms (≤200ms), and CLS 0.28 (≤0.1), driven by an oversized hero image and render-blocking scripts.

Fix

Treat each metric separately: optimize the LCP element, cut main-thread work for INP, and reserve space for shifting elements for CLS. Track in the GSC Core Web Vitals report.

Issue

Multi-hop redirects and internal links pointing at redirecting URLs waste crawl budget and leak link equity.

Example

Blog posts link to http://example.com/guides/layering (redirects to HTTPS) then to /guides/layering/ (redirects to no-slash), creating ~900 internal redirect hops.

Fix

Flatten every chain to a single 301, update internal links to the final URL, and keep one site-wide trailing-slash convention. Audit via Response Codes → Redirection (3xx) → Inlinks in Screaming Frog.

Issue

Sitemaps that omit key pages or include junk send mixed signals to Google.

Example

The sitemap lists 4,000 URLs but includes 600 noindex and redirecting URLs while missing 200 live product pages.

Fix

Generate the sitemap dynamically with only canonical, indexable, 200-status URLs, split large files under 50k each, reference them from a sitemap index, and monitor coverage in GSC.

Selected findings

Issue

The page format doesn't match what the SERP rewards for the query, so it can't compete no matter how good the copy is.

Example

/blog/best-4-season-tents is a thin 400-word brand essay, but every ranking result for "best 4 season tents" is a comparison list with specs and prices.

Fix

Rebuild it as a comparison page that matches the dominant intent: a sortable table, pros and cons, and clear picks, then map secondary keywords into the subheadings.

Issue

Two pages target the same primary keyword, splitting rankings, links, and click-through between them.

Example

Both /jackets/waterproof and /blog/best-rain-jackets chase "waterproof jackets," and Google keeps swapping which one ranks at position 8.

Fix

Differentiate by sub-intent (one commercial category, one informational guide that links down to it) or consolidate into a single stronger page with a 301.

Issue

The site covers only a fraction of the subtopics a category needs to be seen as authoritative, so even the hub underperforms.

Example

The "Hiking Boots" hub links to 3 supporting articles; competitors ranking above it cover 12 (sizing, break-in, resoling, terrain types, waterproofing, and more).

Fix

Map the full subtopic set from the content gap analysis, publish the missing pages, and interlink them hub-and-spoke so the cluster reinforces itself.

Issue

Buying-advice and safety content has no named, credentialed author, weakening trust signals for both Google and AI engines.

Example

"How to Choose a 4-Season Tent" reads as anonymous staff copy, with no author bio, credentials, or first-hand field testing shown.

Fix

Attribute it to a named expert with a real bio and credentials, add original photos and first-hand testing notes, and wire up Author and Organization schema.

Issue

Generic, templated titles bury the primary keyword and offer no reason to click over competitors.

Example

Every product title is example.com | Product Name. GSC shows /tents/4-season ranking position 6 with a 1.1% CTR, well below the curve for that position.

Fix

Front-load the primary keyword and add a differentiator (specs, year, or benefit). Prioritize pages with high impressions and low CTR, where a rewrite pays off fastest.

Issue

Manufacturer boilerplate repeated across variants creates near-duplicate pages with no unique value.

Example

820 product pages share the same supplier description; Screaming Frog's Content report flags them as near-duplicates above the 90% similarity threshold.

Fix

Rewrite descriptions for high-traffic and high-margin products first, adding use cases, specs, and original detail; consolidate or canonicalize trivial variants.

Issue

Missing alt text hurts accessibility, image search visibility, and the context multimodal engines extract.

Example

2,400 product and lifestyle images have empty alt attributes and generic filenames like IMG_4821.jpg.

Fix

Write descriptive alt text and rename files to describe the subject (alpine-pro-hiking-boot-brown.jpg), prioritizing money pages and templated images that scale.

Selected findings

Issue

The pages you most want to rank sit well below competitors on referring domains, capping how high they can realistically climb.

Example

Ahrefs shows the /tents category at DR 38 with 12 referring domains, while the three sites ranking above it average DR 71 and 140+ referring domains.

Fix

Target the specific link gap with digital PR and outreach to the domains already linking to competitors but not to you, focusing equity on the money pages.

Issue

Publishers already mention the brand without linking, the lowest-effort links available, and no one is reclaiming them.

Example

Ahrefs Content Explorer finds 18 unlinked mentions, including a "Best Tent Brands 2026" roundup on a DR 55 outdoor publication.

Fix

Reach out to each author with the exact URL to link, prioritizing high-DR pages and ones that already drive referral interest.

Issue

Most external authority points at blog posts and viral pieces, while the commercial pages that earn revenue get almost none.

Example

70% of referring domains point at /blog; the top category pages have a fraction of the link equity despite driving the sales.

Fix

Pass equity down with contextual internal links from the strong posts to the money pages, and aim new link building at category and product hubs.

Issue

The brand has nothing journalists want to cite, so it relies on passive, occasional inbound links instead of earning them systematically.

Example

No original research, calculator, or data study exists. Competitors earn links every quarter from an annual "gear durability" report.

Fix

Build one repeatable linkable asset (original survey, data study, or tool) and pitch it to the outdoor publications already covering the space.

Issue

A cluster of low-quality, off-topic links from an old campaign creates risk and muddies the profile.

Example

340 referring domains are foreign-language directories and PBN-style sites with exact-match anchors like "buy cheap tents online."

Fix

Confirm the pattern is manipulative rather than just low-value, then disavow only the clearly toxic domains. Most low-quality links are best ignored, not disavowed.

Issue

A branded search returns no knowledge panel, and inconsistent naming across the web makes the brand hard to resolve as an entity.

Example

The brand has no Wikidata item, and it appears as "Example Gear," "Example Outdoor," and "Example.com" across directories and social profiles.

Fix

Standardize name, address, and phone everywhere, create a Wikidata entry, and add Organization schema with a thorough sameAs list to authoritative profiles.

Issue

The third-party reviews that buyers and AI engines lean on are sparse or missing on the platforms that matter for the category.

Example

The brand has 9 reviews on one platform and no presence on the two review sites that dominate "best [category]" results and AI citations.

Fix

Claim profiles on the platforms buyers actually check, then run a post-purchase flow that invites satisfied customers to review.

Selected findings

Issue

AI engines pull most citations from the top of a page; content that wanders before answering rarely gets quoted.

Example

"4-season vs 3-season tents" spends 800 words on company history before stating which tent suits which conditions, the actual answer.

Fix

Lead with a direct answer in the first 40 to 80 words after the H1, then expand. Add a short TL;DR block on long guides.

Issue

Generative engines preferentially cite content with specific, sourced data and named expert quotes. Vague claims give them nothing to lift.

Example

"Our jackets are highly waterproof and tested" appears with no rating, test standard, or source. Cited competitors list "IPX5, tested to IEC 60529."

Fix

Add at least a few specific statistics with named sources and dates per major section, plus a named expert quote, so there's something concrete to cite.

Issue

A large share of AI citations come from sections whose heading matches the user's question. Label-style headings miss that match.

Example

Sections are titled "Sizing" and "Weather Resistance" instead of "How do I find my correct boot size?" and "Can this jacket handle heavy rain?"

Fix

Rewrite H2s as the natural questions users actually ask, then answer each one immediately and concisely beneath the heading.

Issue

Dense, multi-idea paragraphs are harder for retrieval systems to chunk and quote cleanly, so they get passed over.

Example

Feature descriptions run 125+ words each, mixing fit, materials, and use cases in a single block.

Fix

Break content into self-contained 40 to 75 word passages, each answering one idea, so every chunk can stand alone as a citation.

Issue

If AI crawlers are blocked, or the key content only renders via JavaScript, the engines never see what they'd otherwise cite.

Example

robots.txt returns 403 for GPTBot and PerplexityBot, and product specs load client-side, so the raw HTML they fetch is nearly empty.

Fix

Decide deliberately which AI bots to allow, then make sure answers and specs exist in the server-rendered HTML, not only the rendered DOM.

Issue

Missing structured data leaves engines to infer entities and answers from prose alone, instead of confirming them in machine-readable form.

Example

Product pages have no Product schema, and buying guides carry no FAQPage markup despite a clear Q&A structure.

Fix

Add Product, FAQPage, and Organization schema that mirrors the visible content, and validate every template with the Rich Results Test.

Issue

AI answers lean toward fresh sources; content that hasn't been meaningfully updated is less likely to be surfaced or cited.

Example

The flagship "best tents" guide was last updated 14 months ago, while cited competitors refresh theirs each season with new picks and prices.

Fix

Refresh high-value pages on a schedule with new data, picks, and quotes, and update dateModified only when the change is substantive.

These are illustrative examples with dummy data for a fictional store. Your real findings, counts, and priorities come from a crawl and analysis of your own site.

Proof, Not Promises

Results in the Numbers

0
Brands audited
and optimized
0
Non-branded Page-1 keywords
(eCommerce, per Ahrefs)
0
Non-branded clicks in 12 months
(SaaS engagement)
Audit to Roadmap to Result

Fine-Jewelry Brand: A Catalog Search Couldn't See

An enterprise eCommerce catalog where the audit surfaced product variations that weren't being crawled or indexed, capping non-branded visibility across thousands of long-tail queries. The roadmap turned those findings into prioritized work.

Before
  • Product variations poorly crawled and inconsistently indexed
  • Thin, near-duplicate category pages competing with each other
  • 1,030 non-branded Page-1 keywords
After
  • Enhanced category pages with crawlable, indexable variations
  • National #1 for "wedding rings moissanite"
  • 2,443 non-branded Page-1 keywords (+137%) and +106% non-branded traffic

Non-branded Page-1 keywords grew 1,030 → 2,443 and estimated non-branded organic traffic grew 44,248 → 91,065 over the engagement (per Ahrefs).

Why Work With Me

Senior, Hands-On, and Tied to Revenue

A Senior Does the Diagnosis

You work directly with the consultant who runs the crawl, reads the data, and writes the findings, not an account manager relaying a junior's spreadsheet.

A Published, Proven Method

The framework behind your audit is the one I published with Screaming Frog and templatized as a company standard, not a tool's default export.

Built for the C-Suite

Findings come with traffic and revenue forecasts in language leadership approves budget against, not vanity metrics and jargon.

Hands-On Through Execution

Every fix becomes a dev-ready ticket. I join the calls, unblock implementation, and validate in staging, instead of disappearing after the audit.

In Their Words

What Client Leaders Say

"Since starting our program 18 months ago, our organic traffic has increased 125%. Mark took the time to really understand our business and identify market opportunities before crafting initiatives that we always felt confident in executing against. Detail-oriented, flexible and fun to work with."
Jeff Kloster
Jeff Kloster
Principal, Yardbarker
"Credit Sesame lost the #1 position for 'free credit score,' a critical driver of organic signups. Mark led the recovery through content, topical authority, internal linking and quality backlinks, and we regained the top spot."
Mark Aspillera
Mark Aspillera
Senior Marketing Manager, Credit Sesame
"He helped us rank #1 for our most important keywords (like 'cocoa flavanol supplement'), and dramatically improved our conversion funnel so we could fully capitalize on the new traffic. An absolute pleasure to work with."
Christopher Shields
Christopher Shields
Director of Demand & Marketing, Mars Chocolate (CocoaVia)
The Details

An Enterprise SEO Audit, Explained

From why an audit matters to how it's scoped and priced, here's a complete look at what an enterprise SEO audit covers, the methodology behind it, and how every piece ties back to revenue. I've built and templatized audit processes used as a company standard, so this is the real thing, not a checklist. Open any topic that's relevant to you.

An SEO audit is the diagnostic that explains why your site performs the way it does in search, and what it would take to grow. Done well, it connects every technical, content, and authority signal to one outcome: revenue. The point is not a tidy SEO audit report you file away. It's a clear read on where search engine visibility is leaking and where the fastest, most valuable gains are hiding.

A real audit pays for itself in three ways. It protects what you have, by catching the indexing, site architecture, and page speed problems that quietly suppress organic rankings before a migration or algorithm update makes them worse. It finds growth, through competitive analysis, a content audit, and backlink analysis that surface demand you aren't capturing yet. And it builds the business case, turning findings into a forecast leadership can fund. For multi-location brands that includes local SEO presence; for every site it includes the fundamentals search and AI engines read first, from a clean sitemap.xml to whether your structured data passes Google's Rich Results Test.

The methodology follows the same five-phase framework I published with Screaming Frog, and it starts before any crawl runs. Onboarding is its own phase: I map your business model, your money pages, the algorithm updates you've lived through, and your real constraints, so the technical SEO audit is calibrated to your site instead of a generic checklist.

From there, each phase feeds the next. Crawl error analysis and a review of site structure, XML sitemaps, page speed performance, and indexation establish the foundation. Onsite optimization and content strategy come next, then off-page factors, then keyword and demand work. AEO (answer engine optimization) is woven through, because the same content that ranks today has to be quotable by AI engines tomorrow, and a mobile SEO strategy is treated as the default, not an afterthought. A good SEO audit tool accelerates the data gathering. The sequence and the judgment are where an experienced consultant earns the fee.

Technical health is the first pillar, because nothing else matters if engines can't crawl, render, and index your pages. The assessment works through crawl errors and indexing issues, the robots.txt file and your sitemap.xml, site structure and internal linking, mobile-friendliness, page speed and Core Web Vitals, and the schema markup and structured data that make pages eligible for rich results and AI citations.

At enterprise scale the failures are rarely dramatic. They're a canonical pointing at the wrong URL, broken links bleeding equity, a faceted navigation spawning thousands of thin pages, or critical content stranded behind JavaScript. Each one is documented in plain language with a real example and a fix, then prioritized, so your dev team gets tickets it can act on rather than a tool's severity score. This is the work I go deep on in technical SEO.

The second pillar asks whether your content earns the rankings it's capable of. I look at keyword-to-intent alignment, content quality and depth, header structures and meta-tagging, image optimization, and the internal linking that routes authority to the pages that drive revenue. A content gap analysis against the competitors beating you shows exactly which topics you're missing and which existing pages are underperforming their potential.

This is where the quiet killers live: orphaned content no internal link points to, canonical tag misformation splitting signals between near-duplicate pages, and thin or cannibalizing pages competing with each other for the same keyword rankings. Fixing those, alongside on-page page speed optimization and cleaner schema markup, is often the fastest route to recovering organic visibility without writing a single new page. See on-page SEO for how that work ships.

Authority decides how high your pages can realistically climb, so the backlink audit benchmarks your profile against the competitors outranking you and finds the gap. The backlink profile assessment separates the high quality links that earn trust from the problematic ones: toxic backlinks, spammy comment links, and the leftovers of old campaigns that add risk without value. Most low-quality links are best ignored. Disavowing harmful links is reserved for clearly manipulative patterns, not used as a reflex.

It's also where the easiest wins hide. Link reclamation opportunities, from unlinked brand mentions to broken links pointing at pages that moved, recover authority you've already earned. Competitor analysis then maps where new links should come from, and internal linking redistributes the equity you have toward the money pages with the most organic keyword presence to gain. The ongoing version of this is off-page SEO.

Findings are only as good as the data behind them. I pull Google Search Console and Google Analytics straight into the crawl, so every page is judged on real performance, not assumptions. Historical website analytics show what changed and when; traffic sources and conversion pathways show which pages actually drive pipeline; and user behavior reveals where you're earning visits but leaking the conversion events that matter.

This is what turns a list of technical SEO activities into a prioritized plan. When a fix can be tied to lost sessions, a ranking drop after a specific release, or a conversion path that breaks on mobile, the recommendation writes itself. The result is an SEO audit report grounded in performance insights and competitor analysis, where the priorities reflect business impact instead of a tool's default weighting. SEO analytics keeps that visibility live after the audit.

After hundreds of audits, the same problems surface again and again, and most have well-understood fixes. The job is catching them at scale and sequencing the repairs by impact.

Wasted crawl budget

Redirect chains, robots.txt blockages, and outdated XML sitemaps send Google chasing URLs that don't matter. Flatten the redirects, fix the rules, and feed clean sitemaps.

Duplicate and thin content

Canonical tag misformation, boilerplate, and keyword stuffing create duplicate content that splits ranking signals. Consolidate, canonicalize, and rewrite what's worth saving.

Broken internal paths

Broken internal URLs, more redirect chains, and poor internal linking strand pages and leak equity. Repair the links and point them at the final destination.

Migration fallout

HTTPS migration errors and orphaned content are the classic post-replatform traffic killers. A clean redirect map and a recovery crawl catch them before rankings fall.

None of these are exotic. What separates a recovery from a slow bleed is finding the crawl errors early and fixing them in the right order.

SEO tools are essential, and I use the best of them. But a tool can flag an issue; it can't tell you whether it matters to your business, what to fix first, or how to implement the solution without breaking something else. Run the same audit past ten sites and you'll get ten near-identical reports. The trained eye is what reads those results in context, separates noise from the findings that move revenue, and turns a list into a plan.

That's the difference between a software export and an SEO consultant. The tools diagnose issues; a consultant decides what to do about them. I prioritize findings against your real constraints, develop solutions your team can actually ship, and stay in the room to implement them, the way good Google Analytics consultants interpret data rather than just reporting it. Automated audits are a starting point. Search engine optimization that compounds is a judgment business.

No two sites need the same audit. A 200-page lead-gen site and a million-URL eCommerce catalog share the fundamentals, but the hidden issues, the opportunities, and the right depth of review are completely different. So the scope is built around your site: your competition, your platform, your goals, and wherever the data points.

What you get is a custom plan, not a templated detailed report with your logo swapped in. The audit weights its comprehensive coverage toward where your upside actually is, whether that's local SEO across dozens of locations, a responsive site design that's quietly failing on mobile, or a sitemap.xml that's been misconfigured for years. Data-driven analysis sets the priorities, and the deliverable is a personalized strategy your team can execute, not a detailed document that impresses once and then sits in a drive.

SEO audit duration scales with website complexity. A focused site can be assessed in a couple of weeks; a large, complex one with a full on-page review, off-page review, and technical assessment takes longer, because a holistic audit done properly isn't something you rush. Software costs (crawlers, rank and backlink data, log analysis) are built into the engagement, not billed back as surprises.

The deliverable is always the same in spirit: not a report, but a prioritized 12-month roadmap organized into three to five strategic pillars, each with traffic forecasts and clear ownership. The audit is included in monthly retainers, which start at $5,000/month with the sweet spot around $10,000/month, and a standalone audit can be scoped on request. See pricing for detail, or book a free analysis for a realistic scope.

The proof is in what the work produces. For a SaaS brand (Helium 10), an audit-led program grew Page-1 keywords 272% and non-branded clicks 2,682% in twelve months, and a single tool-page redesign lifted conversions 167%. For an eCommerce brand (Charles & Colvard), non-branded Page-1 keyword ranking grew 137% and non-branded traffic 106% per Ahrefs, including the national #1 spot for "wedding rings moissanite."

Those results start with the same technical SEO audit and analytics work described here, then compound through guidance and support over time: quick wins first to build momentum, traffic recoveries where issues were suppressing pages, and a steady climb as the roadmap ships. A Google Analytics audit confirms the conversion events are tracked correctly, so every gain is measurable. The featured clients above were built this way, with a consultant who stays accountable to the revenue the audit was meant to move, not a detailed document and a goodbye. See the case studies for the full breakdowns.

Questions

SEO Audit FAQs

The audit spans the four dimensions that determine organic performance: technical (crawlability, indexation, site speed, Core Web Vitals, structured data, and information architecture), on-page content (keyword-to-intent alignment, topical authority, E-E-A-T, and internal linking), off-page authority (backlink profile, link equity distribution, brand entity, and competitive gaps), and GEO / AI search (how ChatGPT, Perplexity, and Google AI Mode read and cite you). It also covers the keyword and CRO work that turns rankings into revenue.

The output is a prioritized 12-month roadmap organized into three to five strategic pillars with traffic forecasts and sprint-level ownership, not a flat list of issues to sort through on your own.

No. The audit is designed as the foundation for execution. Most clients begin a monthly retainer immediately after the roadmap is delivered, where I write dev-ready tickets, join sprint calls, unblock implementation, and validate fixes in staging before launch.

If you want a standalone audit, that's available too. Either way, you leave with a document built to act on, not to file away. The difference is whether you have a senior consultant in the room as you execute.

Every issue is scored P1 to P4 by business impact, not severity for its own sake, and weighed against your real resource constraints. High-value, low-effort wins go into the first sprint so you see movement fast. The full set is organized into strategic pillars with clear ownership, so leadership sees the sequence and the upside instead of a wall of red flags.

A thorough enterprise audit spans technical, content, link equity, and keyword strategy, and is typically delivered over a few weeks. That depth is built for large, complex sites where the opportunity justifies it; a smaller site needs less. The audit is included in monthly retainers, which start at $5,000/month with the sweet spot around $10,000/month. See pricing for details, or book a free analysis for a realistic scope.

Yes, AI search is now a core dimension. I check whether your pages answer queries in the first 40 to 80 words, whether headings match the questions users ask, whether content carries citation-worthy statistics and named expert quotes, and whether your entity is resolvable through schema, Wikidata, and consistent off-site signals, all of which influence whether ChatGPT, Perplexity, and Google AI Mode cite you. No one has a definitive AI-search playbook yet, so I track reputable sources, run client tests, and bring what actually moves visibility into the audit.

Screaming Frog and Sitebulb for crawling (with API integrations pulling Ahrefs, GSC, and GA4 data right into the crawl), Google Search Console and server logs for real crawl and index behavior, Ahrefs for backlink and keyword data, Keyword Insights for clustering, and PageSpeed Insights plus field data for Core Web Vitals. Everything is built on your existing stack, with no proprietary black boxes, and the templates and dashboards we set up are yours to keep.

Yes, and it's one of the smartest times to do it. A pre-migration audit establishes a clean baseline, maps the redirects that preserve URL equity, and validates templates before launch, so you avoid the traffic loss that derails so many replatforms. I monitor crawl and index health closely through cutover and after, and roll fixes in fast if anything moves the wrong way.

Start With the Blueprint

Book a free analysis and I'll show you where your site is leaving organic revenue on the table, and what a prioritized roadmap looks like for your business. No obligation, just a clear plan.