How to Use Claude for a Basic SEO Audit — And Where You Still Need an Expert (2026 Guide)

By Taqweem Ahmad  |  Founder, Dexora Digital  |  AI-First SEO Agency  |  August 2026

Claude is genuinely useful for certain SEO audit tasks. Knowing which ones is what separates people who spend an hour getting vague answers from people who use Claude to do in 20 minutes what used to take two hours.

After 500-plus SEO audits over seven years and using AI tools as a core part of our audit process at Dexora Digital, I can tell you exactly what Claude does well, what it cannot do without your real data, and where practitioner judgment still beats any AI tool on the market.

This guide is specific. Every task in the ‘what Claude does well’ section comes with a real prompt you can use right now. Every limitation in the ‘what Claude cannot do’ section explains why the limitation exists and what tool you need instead. And the final section covers the seven things that require human expertise even when all the data is in front of you — because interpreting data correctly is a different skill from having data.

Claude is not an SEO tool. It is an AI assistant that knows a lot about SEO. The distinction matters enormously for how you use it — and how much you rely on what it tells you.

I run an AI-first SEO agency. That means AI tools including Claude are part of every audit, every content strategy, every schema review. But AI-first does not mean AI-only. The practitioner judgment — built from 500 audits and seven years of watching Google update after update — is what turns Claude’s output from interesting to actionable.

About Dexora Digital — AI-first SEO agency.

First — What Claude Actually Is (and Is Not) for SEO Work

Before the tasks and prompts, this framing matters.

Claude is a large language model. It was trained on enormous volumes of text including SEO guides, Google documentation, technical SEO articles, schema documentation, and practitioner content. This means it understands SEO concepts, best practices, content quality signals, schema structure, and writing quality at a sophisticated level.

What Claude does not have:

Cannot do  Access to your live website — it cannot crawl your pages or check your current content

Cannot do  Access to Google Search Console — it cannot see your impressions, clicks, CTR, or ranking positions

Cannot do  Access to SEMrush, Ahrefs, or Moz — it cannot check your backlink profile, domain authority, or keyword rankings

Cannot do  Access to Google PageSpeed Insights — it cannot check your actual Core Web Vitals

Cannot do  Access to Screaming Frog — it cannot crawl your site for technical errors at scale

Cannot do  Real-time information — its knowledge has a training cutoff and it cannot check what is currently ranking for your keywords

What this means practically: Claude can audit the information you paste into it. It cannot audit your website without you first doing the work of extracting the data. This is the critical distinction that most people miss when they try to use Claude for SEO audits and come away disappointed.

Key point:  Claude is best used as the analyst reviewing data you bring to it — not as the crawler collecting that data. Once you understand this, its usefulness for SEO audits increases dramatically.

Part 1 — The 11 SEO Audit Tasks Claude Does Exceptionally Well

These are the tasks where Claude genuinely saves significant time and produces high-quality output. Each one requires you to provide specific data — but the analysis Claude performs on that data is faster and often more thorough than doing it manually.

  TASK 1:  Content Quality and E-E-A-T Evaluation

What to give Claude: Copy and paste the full text of any page you want to evaluate.

Prompt: Here is the content of my [service/blog] page: [paste full content]. Please evaluate it against Google’s E-E-A-T criteria — Experience, Expertise, Authoritativeness, and Trustworthiness. Identify: (1) what signals of genuine expertise are present, (2) what signals are missing, (3) whether the content demonstrates firsthand experience or reads as generic information, (4) specific improvements that would strengthen the E-E-A-T signals on this page.

Limitation: Claude evaluates the content you paste. It cannot check whether the author is verified on Google, whether the page has external authority signals, or whether the content matches the current competitive landscape for that keyword.

  TASK 2:  Meta Title and Description Audit

What to give Claude: Paste a list of your page URLs and their current meta titles and descriptions.

Prompt: Here are the meta titles and descriptions from my website pages: [paste list]. For each one, evaluate: (1) whether the title is within 55-60 characters, (2) whether it includes the primary keyword naturally, (3) whether it is compelling enough to earn a click from search results, (4) whether the description accurately previews the page content and includes a benefit or CTA. Suggest improved versions for any that are weak.

Limitation: Claude cannot check whether your current meta titles are causing low CTR in your actual Google Search Console data, or whether the keywords you are targeting have sufficient search volume to justify optimization.

  TASK 3:  Schema Markup Review and Error Identification

What to give Claude: Copy your JSON-LD schema code from your page source and paste it.

Prompt: Here is the JSON-LD schema code from my homepage/service page: [paste schema]. Please review it for: (1) missing required properties for this schema type, (2) incorrect property names or values, (3) properties that should be added to improve AI citation eligibility, (4) whether the structure follows the latest schema.org documentation. Identify any errors and show me the corrected version.

Limitation: Claude can identify structural schema errors from the code you paste. It cannot verify whether your schema is validated in Google Search Console, whether it is generating rich results, or whether there are rendering issues preventing Google from seeing the schema on the live page.

  TASK 4:  Heading Structure and Hierarchy Review

What to give Claude: Copy and paste your H1 through H6 heading structure from the page source.

Prompt: Here is the heading structure of my [page name]: [paste H1, H2, H3 etc in order]. Please evaluate: (1) whether the H1 is unique and includes the primary keyword, (2) whether the H2 and H3 structure creates logical information hierarchy, (3) whether headings reflect the topics a searcher would expect on this page, (4) any headings that should be rewritten, added, or removed. Focus on searcher intent matching.

Limitation: Claude evaluates the heading structure you paste. It cannot tell you whether these headings are currently helping or hurting your rankings for specific keywords, or how your heading structure compares to what is currently ranking for your target term.

  TASK 5:  Internal Linking Strategy Review

What to give Claude: Export your site’s internal link structure from Screaming Frog or a similar tool and paste the relevant sections.

Prompt: Here is the internal linking data for my website: [paste key pages and the internal links pointing to and from each]. Please evaluate: (1) which pages appear to be orphan pages with few internal links pointing to them, (2) whether the most commercially important pages are receiving sufficient internal links from other pages, (3) whether the anchor text used in internal links is descriptive and keyword-relevant, (4) what internal linking changes would most improve the distribution of authority across the site.

Limitation: Claude analyzes the data you paste. It cannot crawl your site live to find orphan pages or check your actual link equity distribution. For a complete internal link audit, Screaming Frog or Ahrefs is required to generate the data Claude then analyzes.

  TASK 6:  FAQ Content Development for Schema

What to give Claude: Tell Claude your service, location, and target client.

Prompt: I run a [service type] business serving [location]. My target clients are [describe]. I need 10 FAQ questions for my [service page] that: (1) target the specific questions potential clients ask before hiring, (2) address buying objections not just information queries, (3) are written in natural conversational language that matches how people type into ChatGPT and Google, (4) are each answerable in 50-70 words so they qualify as AI-extractable answers. Write both the questions and the answers.

Limitation: Claude generates FAQ content based on your brief. It cannot verify whether the questions match the actual search queries your specific audience uses — that requires Google Search Console query data or keyword research from a dedicated tool.

  TASK 7:  Competitor Content Gap Analysis

What to give Claude: Paste the content from your page and a competitor page targeting the same keyword.

Prompt: Here is my page targeting [keyword]: [paste content]. Here is a competitor page targeting the same keyword: [paste competitor content]. Please compare: (1) topics covered by the competitor that my page does not address, (2) depth of coverage where the competitor is more thorough, (3) content types used by the competitor (case studies, statistics, examples) that I am missing, (4) structural differences in how they present information. Give me a prioritized list of content additions that would close the quality gap.

Limitation: Claude compares the content you paste. It cannot check the competitor’s actual ranking position, traffic volume, or whether their page is outranking yours for specific queries.

  TASK 8:  robots.txt and XML Sitemap Basic Review

What to give Claude: Copy and paste your robots.txt content and sitemap URL list.

Prompt: Here is my robots.txt: [paste content]. Please check for: (1) any Disallow rules that might be blocking important pages from Google, (2) whether GPTBot, ClaudeBot, and PerplexityBot are allowed or blocked, (3) any syntax errors that would prevent correct parsing, (4) whether the sitemap is referenced correctly. Here is my sitemap URL list: [paste]. Are there any obvious issues with the URLs included?

Limitation: Claude reviews the text you paste. It cannot check whether specific pages are actually being crawled by Google, whether your sitemap is returning errors in Google Search Console, or whether crawl budget is being wasted on low-value pages.

  TASK 9:  Page Title Tag Optimization at Scale

What to give Claude: Export your page titles from Screaming Frog or your CMS and paste a batch.

Prompt: Here are the title tags from my website: [paste list of URL | Title]. For each, identify: (1) titles over 60 characters that will be truncated in search results, (2) duplicate title tags across pages, (3) titles missing a primary keyword, (4) titles that use the same keyword repeatedly across multiple pages creating cannibalization risk. Suggest improved titles for the top 10 issues identified.

Limitation: Claude identifies issues in the data you paste. It cannot check your actual CTR in Google Search Console, verify your current ranking positions, or confirm which titles are causing the most damage to your search performance.

  TASK 10:  AI Citation Eligibility Audit

What to give Claude: Paste your service page content and existing FAQ sections.

Prompt: Here is the content from my [service page]: [paste]. Please evaluate this page’s eligibility to be cited by AI systems like ChatGPT and Google AI Overviews. Specifically: (1) are the FAQ answers structured in self-contained 40-80 word responses that could be extracted as standalone citations, (2) does the page content contain entity signals (specific location, specific services, specific credentials) that AI systems use to identify and recommend the business, (3) what specific content additions would most improve AI citation likelihood for this page?

Limitation: Claude evaluates the content you paste. It cannot check your current AI citation count, verify whether your llms.txt is being indexed by AI crawlers, or confirm whether specific pages are currently being cited in AI search responses.

  TASK 11:  Schema Code Generation

What to give Claude: Tell Claude your business details and the schema type you need.

Prompt: I need JSON-LD schema for my [LocalBusiness/Service/FAQPage/Article/Person]. Business name: [name]. Address: [address]. Phone: [phone]. Services: [list]. Service area: [areas]. Hours: [hours]. Rating: [score from X reviews]. Website: [URL]. GBP URL: [URL]. LinkedIn: [URL]. Please generate valid JSON-LD schema following the latest schema.org specifications. Include all properties relevant for AI search citation eligibility.

Limitation: Claude generates schema code based on the information you provide. You must validate the output with Google Rich Results Test before publishing — Claude cannot guarantee the code will pass validation without testing on your live page.

Part 2 — The 9 Things Claude Cannot Do Without Your Real Data

These are the tasks that people commonly try to get Claude to perform, then wonder why the answers are generic or unhelpful. The limitation in every case is the same: Claude does not have access to your live website data, your ranking history, or your competitive landscape in real time.

Task	Why Claude Cannot Do It	What to Use Instead
Check your actual keyword rankings	No access to live SERP data	Google Search Console or SEMrush
Pull your GSC impressions and CTR	No API connection to your GSC account	Google Search Console directly
Crawl your site for broken links and technical errors	No browser or crawler capability	Screaming Frog, Sitebulb, or SEMrush Site Audit
Check your actual page speed and Core Web Vitals	Cannot access your live site	Google PageSpeed Insights, GTmetrix
Audit your backlink profile	No access to Ahrefs/SEMrush backlink databases	Ahrefs, SEMrush, or Moz Link Explorer
Tell you who is currently ranking for your target keyword	No live SERP access	Manual Google search or SEMrush SERP analysis
Verify whether your schema is generating rich results	Cannot access Google Search Console validation data	Google Rich Results Test + GSC Enhancement reports
Check your current AI citation count	No access to SEMrush AI Visibility or live AI search data	SEMrush AI Visibility panel or manual ChatGPT searches
Identify your duplicate content issues at site scale	Cannot crawl your site — can only review content you paste	Screaming Frog with MD5 hash analysis, or Siteliner

Limitation:  The most common mistake people make with Claude for SEO: asking it to ‘audit my website’ without providing any data, then accepting the generic output as an actual audit. Claude will give you a plausible-sounding list of things to check — but it is not checking anything. It is describing what an audit would look for based on its training data.

Part 3 — The 7 Things That Require Practitioner Judgment Even With Perfect Data

This is the section most AI SEO content glosses over because it undermines the narrative that AI tools can replace expertise. It cannot. Here is exactly why.

1. Interpreting a Drop in Impressions or Rankings

When Google Search Console shows your impressions dropped 40 percent between March and April 2026, Claude can tell you that drops happen after core updates, spam updates, or technical changes. What it cannot tell you is which of those caused your specific drop, in your specific niche, with your specific content profile.

Diagnosing a ranking drop requires cross-referencing the drop date against the Google update timeline, understanding what each update targeted and whether your content fits that profile, reviewing whether a specific page type or content category drove the drop, and knowing whether competitors in your specific market moved up or down simultaneously. This pattern recognition comes from watching hundreds of sites through multiple update cycles. No AI tool has that experiential pattern matching.

March 2026 Google Update — what was targeted and what to fix.

2. Prioritizing a List of 40 Technical Issues

Screaming Frog or a site audit tool will return a list of 40, 100, or 400 issues from a crawl. Missing H1s, canonical errors, slow pages, duplicate content, broken links, missing alt text, 301 chains, pages with thin content. Claude can describe what each issue is and why it matters. It cannot tell you which three issues in your specific list are suppressing your most important pages and should be fixed this week, and which 37 can wait six months.

Prioritization requires understanding your competitive context, which pages are already close to ranking improvements, where your authority is concentrated, and what your crawl budget situation looks like. That contextual judgment is built from audit experience, not from knowing what the issues are.

3. Reading the Competitive Landscape in Your Niche

An HVAC company in Phoenix competing against national franchise brands faces a completely different SEO challenge than an HVAC company in Tucson competing against three independent operators. The same keyword, the same service, different competitive dynamics, different strategy.

Understanding what it will realistically take to move from position 8 to position 3 for your specific keyword in your specific market requires reading the competitive landscape — the domain ages, content depths, backlink profiles, GBP review counts, and technical setups of every business currently above you. This is synthesis of multiple data sources that Claude can help you review once you have assembled them, but cannot assemble or interpret contextually on its own.

4. AI Search Optimization Strategy

Getting cited in ChatGPT, Perplexity, and Google AI Overviews requires understanding how AI systems extract and evaluate content — which is a rapidly evolving field where the signals that mattered six months ago may not be sufficient today. Claude can explain what FAQPage schema does. It cannot tell you whether your specific FAQ answers are structured in a way that Perplexity’s extraction model will favor over a competitor’s, or whether your llms.txt is being processed correctly by different AI crawler architectures.

At Dexora Digital, AI search optimization strategy is built from tracking 50-plus client campaigns simultaneously and observing which content types, schema configurations, and entity signals produce citations at the highest frequency. That empirical pattern recognition is not available from a language model — it is built from live campaign data.

AI Search Optimization — AEO and GEO services.

5. Seasonal Planning and 90-Day Timing Decisions

When to publish which content, when to intensify GBP optimization, when to run a review acquisition push before a seasonal peak — these timing decisions depend on knowing the 90-day lead time that Google requires to process ranking changes, understanding your specific market’s seasonal demand patterns, and knowing what your competitors are likely to do in the same window.

Claude can tell you that HVAC companies should optimize for summer demand before summer. It cannot build you a market-specific 90-day forward campaign calendar that accounts for your current ranking positions, your competitors’ historical activity, and the specific Google update timing that affects your content category.

Annual lead generation calendar for local businesses.

6. Local SEO Map Pack Competitive Diagnosis

The Google Maps 3-pack for ‘dentist near me’ in San Diego is determined by a combination of GBP signals, review count and velocity, NAP consistency, proximity, and website authority. Knowing which of those factors is preventing you specifically from being in the top three requires: pulling your GBP insights data, comparing your review velocity against the top three competitors, running a citation audit comparing your NAP consistency, and evaluating your website’s local authority signals.

Claude can describe what each factor is. It cannot diagnose which factor is your specific bottleneck from a conversation without those data points in front of it — and even with them, the diagnosis requires knowing how Google weights each factor in your specific market and category, which changes with updates and varies by competition level.

7. E-E-A-T Assessment for Regulated or YMYL Content

A healthcare clinic’s website, a law firm’s blog, a financial planning service’s content pages — these are YMYL (Your Money or Your Life) categories where Google applies the highest quality thresholds. Assessing whether a specific piece of content meets the E-E-A-T bar for a regulated category requires knowing exactly what Google’s quality evaluators look for, how that bar has shifted across core updates, and what verifiable signals (credentials, institutional affiliations, specific qualifications) are considered authoritative in that specific professional field.

Claude can apply general E-E-A-T principles from its training data. It cannot make the judgment call that a dentist’s blog post about oral cancer screening is written at the level of expertise and specificity that will survive a YMYL content quality review in 2026, versus content that passes a surface-level check but will be downgraded in the next core update.

The Dexora Digital Approach — AI-First, Not AI-Only

Dexora Digital is built as an AI-first SEO agency. That means Claude, GPT-4, and other AI tools are integrated into every stage of our work — from audit to content development to schema generation to AI citation strategy. We use AI to do faster what was always possible to do manually, and to identify patterns across large datasets that would take weeks without AI assistance.

But AI-first is a methodology, not a replacement for expertise. The workflow is:

1.  Data collection using the right tools: Screaming Frog for technical crawl, Google Search Console for performance data, SEMrush for keyword and competitor data, SEMrush AI Visibility for AI citation tracking

2.  AI-assisted analysis: Claude reviews the data and identifies patterns, generates content recommendations, reviews schema code, and drafts FAQ content

3.  Expert judgment: 7 years and 500-plus audits determine which issues matter for this specific client in this specific market, what order to address them, and what the realistic outcomes look like

4.  Implementation with verification: changes are made, validated, submitted to Google Search Console, and tracked in GSC and SEMrush for measurable confirmation

The agencies that will win in AI-era SEO are not the ones that use AI to replace expertise. They are the ones that use AI to make their expertise faster, more consistent, and more scalable — while keeping practitioner judgment at the center of every strategic decision.

When we run an AI citation campaign for a client, Claude helps generate FAQ content at scale and review schema code for errors. But the determination of which FAQ questions match the highest-frequency AI queries in that specific niche, which entity signals are missing from their specific digital footprint, and whether their current citation rate is above or below the competitive threshold for their market — that comes from campaign experience, not from a language model.

Case studies — AI citation campaigns with verified results.

AI Search Optimization service.

Your Step-by-Step Claude SEO Audit Workflow

Here is the exact sequence to run a meaningful partial SEO audit using Claude. This takes approximately 90 minutes and covers the audit tasks Claude does well.

1.  Open Google Search Console. Export your top 20 queries by impressions. Note the pages generating those impressions. Export the page list.

2.  Open Screaming Frog (free version covers up to 500 URLs). Crawl your site. Export: page titles, meta descriptions, H1 tags, canonical tags, and response codes.

3.  Open Google PageSpeed Insights. Run the mobile test on your homepage and top three service pages. Screenshot the results.

4.  Go to yourdomain.com/robots.txt in a browser. Copy the full content.

5.  Go to yourdomain.com/llms.txt. If you get a 404, note that it is missing.

6.  Open your top service page in a browser. Right-click, View Page Source. Search for ‘application/ld+json’. Copy the schema code if present.

7.  Now open Claude. Paste each of these data sets one at a time using the prompts from Part 1 of this guide. Work through tasks 2, 3, 4, 8, and 9 in sequence.

8.  For your content quality audit (task 1), copy and paste the full text of your two most important service pages and run the E-E-A-T evaluation prompt.

9.  For AI citation eligibility (task 10), paste your service page content and FAQ section.

10.  For schema generation (task 11), compile your business details and have Claude generate the correct JSON-LD for LocalBusiness, Service, and FAQPage schema types.

Key point:  This workflow gives you a meaningful partial audit covering content quality, technical fundamentals, schema, and AI citation eligibility. It does not replace a full professional audit covering competitive analysis, ranking diagnosis, backlink profile, and strategic prioritization.

Frequently Asked Questions — Using Claude for SEO Audits

Q: Can Claude do a complete SEO audit?

A: No. Claude can do approximately half of a complete SEO audit — the half that involves reviewing content and code you paste into it. It cannot crawl your site, access your Google Search Console data, check your live rankings, audit your backlink profile, or measure your actual Core Web Vitals. A complete SEO audit requires combining Claude with dedicated tools: Screaming Frog for technical crawl, Google Search Console for performance data, SEMrush or Ahrefs for competitive and backlink data, and PageSpeed Insights for technical performance. Claude is the analyst reviewing data that other tools collect.

Q: What is the best Claude prompt for an SEO audit?

A: There is no single best prompt because the audit depends on what data you bring. The most effective approach is task-specific prompts with real data attached. The highest-value prompts are: (1) ‘Review this page content for E-E-A-T signals and identify what is missing’ — paste your full service page text. (2) ‘Review this JSON-LD schema for errors and missing properties’ — paste your schema code. (3) ‘Evaluate these meta titles for length, keyword inclusion, and click-worthiness’ — paste your title list. (4) ‘Write 10 FAQ questions for this service page targeting the questions potential clients ask AI systems before hiring’ — describe your service and location. Generic prompts like ‘audit my website’ without data attached produce generic, not useful, output.

Q: Is Claude better than other AI tools for SEO?

A: Claude has specific strengths for SEO work: it follows complex, multi-part instructions reliably, produces well-structured analysis, and is particularly good at content quality evaluation and nuanced writing tasks. For schema code generation and review, Claude and GPT-4 perform similarly. For content quality and E-E-A-T evaluation, Claude tends to produce more specific and actionable feedback. Dedicated SEO AI tools like SEMrush’s AI features, SurferSEO, or Clearscope have their own advantages because they combine AI analysis with live ranking data — something Claude lacks. The best approach is using Claude alongside dedicated SEO tools rather than instead of them.

Q: How do I give Claude my website data for an SEO audit?

A: There are four ways to get your website data into Claude: (1) Manual copy-paste — copy page content, source code, or data from tools and paste directly into the conversation. (2) Export and paste — export data from Screaming Frog, Google Search Console, or SEMrush as CSV or text, then paste the relevant sections. (3) Screenshot analysis — Claude can analyze screenshots of PageSpeed Insights results, GSC reports, or SEMrush data if you paste the images. (4) Direct URL — Claude can visit URLs to read page content (use the web browsing feature if enabled in your plan). The most common approach is manual copy-paste because it gives Claude clean, complete data without formatting issues.

Q: Can Claude identify why my rankings dropped?

A: Partially — with the right data. If you paste your Google Search Console performance report showing the dates of ranking drops, Claude can correlate those dates against Google update timelines and identify which update is most likely responsible. It can describe what each update targeted and what content profiles typically dropped. However, it cannot confirm definitively whether your specific site was affected by a specific update, because that determination requires seeing your full content profile, backlink history, and competitive context simultaneously — which is possible with Claude but requires significant data input and expert interpretation of what the data shows.

Q: What can I check with Claude that takes the most time manually?

A: Three tasks where Claude saves the most time compared to manual work: (1) Schema code generation — writing valid JSON-LD from scratch manually takes 30-60 minutes per page; Claude produces it in under a minute from your business details. (2) Meta title batch review — reviewing 50 meta titles manually against character count, keyword inclusion, and click-worthiness takes 2-3 hours; Claude reviews a full list in one prompt. (3) Content gap analysis — manually reading and comparing two long-form competitor pages is 45-90 minutes; Claude compares them with specific gap identification in under 5 minutes when both are pasted.

Q: When should I hire an SEO expert instead of using Claude?

A: Use Claude for: generating schema code, reviewing meta titles at scale, evaluating content quality, drafting FAQ content, reviewing robots.txt basics, and generating recommendations from data you paste. Hire an SEO expert when: your rankings have dropped and you need an accurate diagnosis, you need a competitive strategy for a specific market, you want AI search citation campaigns built and managed, you need technical crawl analysis for a large site, or you need someone to prioritize a long list of issues and make decisions about what to fix in what order. The combination produces better results than either alone — which is exactly how Dexora Digital works.

Q: Does using Claude for SEO audit mean I am doing AI-first SEO?

A: Using Claude for isolated tasks is a good start, but AI-first SEO means more than using one AI tool. At Dexora Digital, AI-first means: AI tools are integrated into every stage of every engagement, from audit to content to schema to AI citation strategy. It means using Claude to generate content and schema faster, while using SEMrush AI Visibility to track AI citation outcomes, and using practitioner judgment to interpret what the combined data shows and what to prioritize. The methodology is human expertise accelerated by AI — not AI outputs accepted without expert review.

ABOUT THE AUTHOR

Taqweem Ahmad

Founder, Dexora Digital  |  AI-First SEO Agency  |  7+ Years  |  500+ Audits  |  Top Rated Upwork

Taqweem Ahmad founded Dexora Digital — an AI-first SEO and AI Search agency in Oulu, Finland. He uses Claude and other AI tools as core components of every SEO audit and AI citation campaign, combined with 7 years of practitioner judgment from 500+ audits across the USA, UK, Australia, and Canada.

[email protected]  |  dexoradigital.com

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