How To Run An SEO Audit

Sagar Sethi

18/02/2026

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This guide gives you

A definition you can use with clients.
A step by step SEO audit workflow.
A prioritised checklist with pass fail rules.
The exact exports to collect from each tool.
A report template you can reuse.
An enterprise section for large sites.
An FAQ written for AI extraction.

How to use this guide?

Follow the steps in order. Export the evidence as you go. Turn findings into a prioritised backlog.

Audit outputs - You finish with these artefacts.

Crawl export set from your crawler.
Indexation actions list from Search Console.
Redirect map and redirect rules.
Sitemap actions list.
Internal linking plan for priority pages.
Content actions list, keep, merge, rewrite, and remove.
Technical backlog with impact and effort.
Measurement baseline and KPI targets.

What is an SEO audit?

An SEO audit is a structured review of how a site gets discovered, crawled, indexed, understood, and ranked. It covers technical health, content quality, internal linking, on page signals, and off page authority. The output is a prioritised list of fixes and growth actions tied to business outcomes.

When to run an SEO audit?

Run an SEO audit before you start SEO work so you set the baseline and avoid guessing. You can also run one straight after any major change like a migration, redesign, CMS change, or domain change because these shifts often break crawl paths, indexing, and page templates. Conduct one when organic traffic drops and you do not know why, when rankings stall for months, or when Search Console shows indexation or coverage issues. If the conversion rate drops on organic landing pages, an audit helps you separate tracking problems, intent mismatch, UX issues, and technical blockers.

For high growth sites, run audits quarterly so you catch problems early and keep the roadmap current. For stable sites, run them twice a year so you stay ahead of gradual technical drift, content decay, and competitor changes.

Tools you need

Google Search Console shows how Google crawls, indexes, and surfaces your site in search. Use it to find coverage problems, indexing exclusions, sitemap issues, manual actions, mobile usability issues, and query level performance. It is the source of truth for what Google sees, what it is ignoring, and where errors exist.

GA4 or another analytics platform shows what users do after they land on your site. Use it to measure organic sessions, engagement, conversions, revenue, and which landing pages drive outcomes. It helps you separate ranking problems from conversion problems, and it tells you which pages matter most for business results.

A crawler like Screaming Frog simulates a search engine crawl and turns your site into a dataset. Use it to find broken pages, redirects, redirect chains, duplicate titles, missing metadata, canonical issues, thin templates, index bloat patterns, internal linking gaps, and orphan pages. It is how you move from opinions to a full URL level inventory.

A rank tracker monitors where you rank over time for your target keywords. Use it to spot trend changes, measure progress after fixes, segment performance by location or device, and identify volatility tied to updates or site changes. It is optional because Search Console already shows queries and clicks, but rank tracking is cleaner for consistent keyword monitoring.

A backlink tool like Ahrefs or Semrush shows who links to you, what pages attract links, anchor text patterns, and how your link profile compares to competitors. Use it to identify risky link patterns, find link opportunities, run competitor gap analysis, and support digital PR planning. It also helps you validate whether authority is a constraint for certain topics.

PageSpeed Insights and Lighthouse show performance and experience issues, with a focus on Core Web Vitals and key front end problems. Use them to diagnose slow templates, render blocking scripts, heavy images, layout shifts, and interaction delays. They help you prioritise technical changes that affect both rankings and user conversions.

Nice to have for advanced work

Server log access shows what bots and users hit on your site at a request level. Use it to confirm what Googlebot crawls, how often it crawls key templates, where crawl budget gets wasted, and whether important URLs get skipped. It is one of the best ways to diagnose crawl traps, index bloat, and slow discovery issues on large sites.

A site search tool for internal search terms shows what people type into your on site search bar. Use it to uncover demand you are not covering well, identify missing categories or content, find product naming mismatches, and spot friction points where users cannot find key pages through navigation. It feeds both SEO content planning and UX fixes.

A QA environment for testing fixes before release lets you validate changes without risking production. Use it to test redirects, canonicals, robots rules, sitemap output, schema changes, internal linking modules, and template edits. It reduces the chance you fix one issue and create three new ones.

A project board to manage backlog gives you control of execution. Use it to prioritise by impact and effort, assign owners, track dependencies, set due dates, and document proof for fixes. Audits fail when findings stay in documents. A board turns findings into shipped work.

Inputs to collect before you crawl

Start with the business goal for SEO so the audit focuses on outcomes, not noise. Leads, ecommerce revenue, bookings, calls, and quote requests each change what pages matter, what conversion paths you check, and what you prioritise first. Next lock in target locations, whether you want Australia wide visibility, a specific state, a city like Melbourne, or defined service areas, because location intent affects page structure, internal linking, and how you assess competitors.

Then confirm the core products and services you want to push, including priority margins, priority categories, and priority services, so you can separate vanity traffic from profitable traffic. Capture known constraints early, like CMS limitations, dev release cycles, and content approval workflows, because a perfect fix that cannot ship is wasted effort. Review previous work, including past audits, migrations, penalties, and agencies, because many issues are repeat problems or side effects of earlier changes.

Finally, secure access to Search Console, GA4, Tag Manager, the CMS, CDN, hosting, and a dev contact, because audits stall without data, and you need the right people to implement fixes properly.

How to perform an SEO audit step-by-step?

Step 1. Set scope and success criteria

Step 1 is about stopping scope creep and making sure the audit answers the business question. The deliverable is a one page scope statement that spells out what is included and what is not. List the site sections in scope, including any subdomains and languages, because each one can behave like a separate site. Call out the templates in scope, such as blog, category, product, service, location, and help pages, because most issues are template driven and fixes need to be applied at the template level, not URL by URL.

Define crawl depth upfront, whether you are doing a full crawl or a representative sample, because large sites can waste time and produce noisy results if you crawl without limits. Set the performance review window, usually the last 3 months for recent trend signals and the last 12 months for seasonality and long term movement. Finally, lock in KPIs tied to the business, such as leads, revenue, organic sessions, and conversions, so every finding is prioritised based on impact, not personal preference.

Step 2. Baseline performance and demand

Step 2 sets the baseline so you know what is working, what is failing, and where to focus. Check the organic traffic trend to spot growth, decline, or volatility, then check the organic conversions trend to confirm whether the traffic change is a business problem or a reporting issue. Pull the top landing pages by conversions because these pages deserve protection first.

Look at brand vs non brand to understand whether performance depends on people already searching for your name, since non brand is where most scalable growth sits. In Search Console, review top queries and pages to see what Google already rewards you for, then isolate pages losing clicks and impressions to find the fastest wins and the likely causes, such as indexation, intent mismatch, cannibalisation, or title changes.

To do this properly, use GA4 and Search Console together. In GA4, run the landing pages report filtered to Organic Search so you can see sessions and conversions by entry page. In Search Console, use the performance report and switch between queries and pages to map demand to URLs.

Compare the last 28 days to the prior 28 days to catch recent shifts, and compare the last 3 months to the same period last year to account for seasonality and long term movement. This gives you a clear short term and long term picture before you touch technical fixes.

If this step fails, you are flying blind. No conversion tracking means you cannot tie SEO work to outcomes, so priorities become guesswork. Conversions not attributed to landing pages usually means the setup is wrong, the conversion events are not configured properly, or reporting is not built to show entry page impact.

If Search Console is not connected or the data is missing, you lose visibility into indexing, query performance, and the pages driving impressions and clicks. That makes it hard to diagnose drops, stalls, or opportunities.

Fix it by tightening the measurement layer. In GA4, confirm you have events set up for real lead actions such as form submissions, calls, bookings, and quote requests. Then confirm the right events are marked as conversions so reports reflect value, not noise. In Search Console, confirm the correct property is verified, the domain or URL prefix property matches the site setup, and data is flowing.

Collect evidence by exporting a list of top landing pages with sessions and conversions from GA4, plus exporting top queries and top pages from Search Console so the audit has a defensible baseline.

Step 3. Crawl the site and capture the facts

Step 3 is where the audit stops being opinion and becomes a dataset. Configure your crawler to collect both raw HTML and rendered output where JavaScript affects content, links, or structured data. Start by respecting robots.txt so you see the site as search engines are meant to see it. Then, if you need diagnostics, run a second crawl that ignores robots.txt so you can identify what is blocked and whether those blocks are hurting important sections.

Crawl via internal links first to understand real discoverability, then run a second pass using XML sitemap URLs so you catch pages that exist but are poorly linked. Make sure you capture canonicals, hreflang, pagination, structured data, titles, H1, meta descriptions, and response codes, and also record click depth and inlinks so you can diagnose architecture and internal linking strength.

A crawl passes when you have a clean export set that represents all key templates and sections, and the data is stable enough to act on. It fails when the crawler gets blocked and misses whole areas, when parameters create infinite crawl traps, or when you see a high percentage of redirects and errors which usually point to broken internal linking, outdated URLs, or poor redirect rules.

Fix this by controlling parameters inside the crawler, adding XML sitemap URLs to the crawl scope, and limiting crawl depth for the first run so you get a signal fast, then expanding once you have control. The evidence you collect should be consistent across audits so results are comparable over time.

Export all internal URLs, response codes, redirects and redirect chains, canonicals, duplicate titles, duplicate meta descriptions, H1, pagination, hreflang, orphan pages if available, and an inlinks report for key pages.

Step 4. Indexation and crawl controls

Step 4 checks whether Google is able to crawl and index the right parts of your site, and whether you are controlling what should stay out of the index. Use Search Console to review index coverage, which pages are excluded and the reasons for exclusion, sitemap submission and processing status, and any manual actions or security issues.

Also, check enhancements and structured data reports because persistent errors there often indicate template problems. Outside Search Console, review robots.txt rules to confirm you are not blocking important paths or required assets, and check meta robots tags and X Robots Tag headers because these can quietly set noindex, nofollow, or other directives across large parts of a site.

You pass this step when key templates are indexable and indexed, critical coverage errors are not impacting priority pages, sitemaps are valid and processed, and there are no manual actions. Likewise, you fail when indexed pages far exceed meaningful pages, which usually signals index bloat from filters, tags, internal search results, or thin template pages.

Similarly, you also fail when many pages are excluded due to duplicate or alternate canonical, which often points to poor canonical logic or inconsistent internal linking. Soft 404 patterns indicate pages that return a success code but look empty or unhelpful to Google, and blocked important paths means robots.txt or meta robots rules are preventing discovery and indexing of pages you need to rank.

Fix this by tightening crawl and index controls. Reduce index bloat by applying noindex to low value templates and parameter driven pages, and ensure those pages are not included in XML sitemaps. Correct canonicals so each indexable page points to its preferred URL, and align internal linking to that preferred version. Resolve soft 404 by either improving the page content so it meets intent and value expectations, or by returning the correct status code, often a 404 or 410 for removed pages.

Update robots.txt to allow critical resources and paths, and remove accidental blocks on key sections. Capture evidence by exporting the Search Console Pages report and Sitemap report, and take a screenshot of the manual actions tab for documentation.

Step 5. Site architecture and internal linking

Step 5 focuses on how your site is organised and how link pathways guide both Google and AI systems through your content. The goal is a structure that clearly shows what you do, how topics relate, and which pages are most important. Check for a clean hierarchy from the homepage to category or hub pages, then down to detail pages like services, products, or locations.

Confirm you have hub pages for major topics or services, and that those hubs link out to the right child pages. Review click depth for priority pages, identify orphan pages with no internal links, and confirm breadcrumbs exist, stay consistent, and reflect your URL structure. Also make sure navigation does not hide key pages behind scripts, forms, or elements that do not render as normal links, because that weakens discovery and dilutes authority flow.

You pass when priority pages sit within three clicks from a relevant hub, each priority page receives internal links from related pages, no indexable pages are orphaned, and breadcrumbs align with the URL structure.

You fail when important pages sit five clicks deep, blog posts exist in isolation with no pathways to commercial pages, or you have many near duplicate location pages that do not have a strong hub model and do not earn internal links.

Fix this by building topic hubs and service hubs, adding contextual internal links inside body content where they make sense, improving breadcrumb trails so they mirror the real hierarchy, and adding related links blocks on key templates to create consistent pathways at scale.

Capture evidence with a crawl depth report for priority URLs, inlinks counts for those URLs, and a list of orphan pages so your recommendations are backed by data and are easy to validate after changes go live.

Step 6. Technical SEO checks

Step 6 is the technical layer, and it is the fastest place to find issues that block crawling, waste authority, and create poor user journeys. Start by checking 4xx errors, which are missing pages, and 5xx errors, which are server failures. Both can kill organic performance if they affect pages Google expects to crawl or pages users land on from search.

Next, check redirects, focusing on redirect chains where one redirect leads to another, and redirect loops where URLs bounce endlessly. Also look for incorrect redirect patterns, such as sending many old URLs to the homepage, because this breaks relevance, reduces retained rankings after changes, and often causes indexation confusion.

You pass when there are no 5xx errors on indexable pages, redirect chains are not longer than one hop for priority URLs, loops do not exist, and every redirect sends users and bots to the closest equivalent page. Fix problems by updating redirect rules at the server or platform level, restoring missing pages where they should still exist, and replacing blanket redirects with mapped redirects that preserve intent, topic, and URL relationships.

For evidence, export a 4xx list with inlinks so you know which broken URLs are still linked internally, export a 5xx list with the time observed so devs can correlate to logs and incidents, and export a redirect chains list so you can prioritise fixes by impact and by how many important pages are affected.

Step 7. On page SEO checks

Step 7 is where you turn crawlable pages into pages that rank and convert. It focuses on what Google reads, what users see in the results, and how both humans and AI systems understand intent. Start with titles and meta descriptions because they control relevance signals and clicks. Check that every indexable page has a unique title, that the title reflects the primary topic and includes a location only when it is genuinely a location page, and that meta descriptions support click intent with a clear promise, not keyword repetition.

You pass when there are no duplicate titles across indexable pages and when titles match the H1 topic and page intent. Fix issues by rewriting duplicates, aligning titles to page templates so the structure is consistent, and removing boilerplate patterns that cause duplication. Prove it with a duplicate titles export and a sample set of improved titles for top templates.

Next, validate H1 and heading structure because headings act like a map for both users and machines. Check you have one H1 per page, headings follow a logical hierarchy, and H2 sections answer real user questions in scannable blocks. You pass when there is a single H1 and the H2 sections are written as clear questions or statements that match query intent.

Fix issues by correcting templates that generate multiple H1s or poor heading order, and rewriting headings to match the terms and intent you want to rank for. Document with an H1 export and a few markup screenshots from key templates.

Then assess content quality and intent match, which is the most common reason rankings stall even when technical health looks fine. Check whether the page answers the main query intent early, includes clear definitions for definitional queries, uses steps and checklists for procedural queries, and includes examples or evidence where the page makes claims.

You pass when the answer appears in the first screen on core pages and each section ends with a short takeaway line so the page is easy to skim and easy to extract for AI systems. Fix this by adding answer first blocks at the top of key sections, adding checklists with pass fail rules, and including examples and screenshots where they improve clarity. Capture proof via content brief updates and before and after excerpts.

Finally, review internal links and anchor text because internal linking shapes authority flow and clarifies relationships between topics. Check that links lead to the next logical action, anchors describe the destination clearly, and priority pages earn links from related articles and hubs. You pass when each hub links to all key child pages and priority pages receive multiple internal links from relevant contexts, not only navigation.

Fix by adding hub pages where they are missing, adding contextual links inside paragraphs, and adding related links blocks at the template level to scale the improvement across the site. Support this with inlinks counts for priority pages and a hub to child mapping list so changes are measurable.

Step 8. Content audit and content actions

Step 8 is the content audit, and it is where you unlock growth because it tells you which pages deserve more investment and which ones are holding the site back. Start by finding pages that get traffic but do not convert, because these are often intent mismatch problems, weak offers, poor internal linking, or poor page structure.

Then look for pages with impressions but low clicks, which usually signals weak titles, weak snippets, wrong intent, or a page being outranked by better formatted results. Identify thin pages with no clear purpose because they dilute topical authority and create index bloat.

Check for cannibalisation, where multiple pages target the same intent and split signals, which often causes rankings to stall or fluctuate. Finally, review outdated content and missing sections, and map content gaps versus competitors so you know what needs to be built to win coverage and relevance.

For each URL, assign a single action so execution is clean. Keep and improve for pages that already have traction and a clear purpose. Merge into a stronger page when multiple pages compete for the same query and none is strong enough alone. Rewrite for a new intent when the URL has value but the current angle is wrong for the queries it attracts.

Remove and redirect when the content is no longer needed and a better destination exists. Noindex when a page is useful for users but should not compete in search, such as internal search results, some filtered pages, or thin utility pages.

What to look for?

You pass this step when you have one strong page per intent cluster, no thin pages in the index for core topics, and every priority topic has a hub page supported by relevant sub pages. Collect evidence by exporting landing pages with conversions from analytics, exporting Search Console queries by page so you can see intent patterns per URL, and building a cannibalisation list that shows overlapping queries across competing pages.

Step 9. Off page SEO and authority checks

Step 9 checks whether the web supports your brand with consistent signals and credible references. Start with branded search presence and consistency, which tells you if people can find you by name and whether Google has a clean understanding of your brand entity across listings, profiles, and mentions.

Then review your backlink profile for quality, relevance, and anchor text patterns, because links still act as a trust signal and they shape how your pages are interpreted. Look for toxic patterns such as sitewide footer links, obvious spam networks, and unnatural anchor repetition, since these introduce risk and can suppress performance.

Compare your links to top competitors to find what you are missing, and identify digital PR opportunities that earn links from credible sources in your industry. If local visibility matters, review citations and NAP consistency, name, address, phone, because inconsistent NAP creates confusion and weakens local trust signals.

You pass when there are no obvious toxic link patterns driving risk, your authority level makes sense for your category and competitive set, and your NAP is consistent across major citation sources for local intent. Fix issues by building a clean outreach plan focused on relevant, high trust placements, improving entity signals on site through strong About pages, clear organisation details, and real author profiles, and correcting NAP across citation sites so the same business information repeats everywhere.

Back up the work with exports, a referring domains export to quantify coverage and quality, an anchor text export to spot manipulation or imbalance, a competitor gap export to show what competitors have that you do not, and a citation consistency list that tracks every NAP source and its status.

Step 10. AI and LLM retrieval test

Step 10 tests whether your page is easy for AI systems to parse, summarise, and recommend accurately. Check that the page answers the definition intent in one short block near the top, then presents the process as a numbered sequence so models extract the workflow in the right order. Include checklists with consistent fields so the content turns into structured outputs, not loose prose. Keep terminology consistent, use one label per concept across the whole page, because inconsistent naming causes models to blend steps or invent missing parts.

Add clear author and organisation signals so systems can attribute the content, and include an FAQ block for common questions because it produces clean, extractable answers. Make sure your structured data matches what is on the page, especially Article schema for the post, FAQPage schema for FAQs, and Breadcrumb schema where relevant.

Run prompt tests across multiple models and record the outputs. Use prompts like what is an SEO audit, how to perform an SEO audit step by step, what should I fix first after an SEO audit, what is included in an enterprise SEO audit, and give me an SEO audit checklist for a service business in Australia.

For each model response, record which pages get cited, whether the definition is accurate, whether the steps match your real workflow, and whether your brand is represented correctly. Also note gaps, missing steps, and incorrect assumptions, because those are the exact areas where your page needs stronger structure, clearer definitions, or better evidence.

Then validate access and renderability. Check robots.txt to ensure you are not blocking important content paths, and confirm your rules for major AI crawlers align with your policy. Also check you are not accidentally blocking CSS and JS resources needed for rendering, because blocked resources can change what gets extracted.

Capture evidence by saving a copy of the robots.txt file and taking a screenshot of key rules so you can track changes over time and avoid accidental regressions.

Enterprise SEO audit

This applies when the site is large or complex, such as ecommerce with large catalogues, publishers, multi-location brands, marketplaces, or any site with faceted navigation. At this scale, the main risks shift. Index bloat becomes a primary issue because the site can generate thousands of low-value URLs through filters, tags, internal search, and parameters, which dilutes signals and wastes crawl resources.

Parameter handling becomes a control point because a small change in URL logic can create infinite crawl paths or duplicate versions of the same page. Duplicate template content becomes common because many pages share the same layout and thin or repeated copy, which weakens relevance and increases cannibalisation.

Execution also changes. Release cycles slow down fixes because enterprise sites rely on larger teams, QA, and scheduled deployments, so you need a tighter backlog and clearer requirements. Monitoring needs automation because problems return through new product feeds, CMS changes, and ongoing releases.

You need alerts and recurring checks so indexation, crawl errors, and template regressions are caught early instead of months later.

What to look for?

Faceted navigation is the first priority because filters and parameters often create crawl traps and duplicate pages. Your pass condition is simple, facet pages are either kept out of the index with noindex or robots rules, or they are consolidated so Google sees a single preferred version via canonicals and consistent internal linking.

Prove it with a crawler parameter report and the Search Console excluded reasons so you can see exactly what Google is doing with those URLs.

Next, control crawl budget and index bloat. When indexable pages exceed meaningful pages, performance drops because crawl resources and relevance signals spread across low value templates. You pass when the indexable set matches business value pages. The usual actions are noindex for low value filters and sorts, internal search result pages, and thin tag pages, plus removing those URLs from sitemaps.

Evidence is the Search Console pages export and a count of indexable URLs from your crawl, so you can quantify the before and after.

Template duplication is another enterprise pattern. Titles, H1, and body content often repeat across thousands of URLs because templates pull the same boilerplate with minimal unique fields. You pass when templates populate unique fields properly, and each page targets a distinct intent.

Evidence comes from duplicate title exports and near duplicate clusters from your crawler or content similarity tooling, which show where duplication is concentrated.

For international and multi region sites, hreflang must be correct or you get wrong region rankings and internal competition across language variants. You pass when hreflang returns valid reciprocal pairs and canonicals align to the correct region preference, not pointing everything back to one market.

Evidence is an hreflang report plus sample validation on key templates and top traffic pages.

Finally, governance and QA decide whether fixes stick. You pass when SEO requirements are built into dev tickets and every release follows a checklist covering redirects, canonicals, sitemaps, structured data, and internal linking. Evidence is your ticket templates and QA checklist, because the goal is repeatable control, not one off clean ups.

SEO audit checklist

Use this as your master list. Add impact and effort during delivery.

Indexation

Search Console coverage status reviewed
Sitemaps submitted and valid
No manual actions
No critical security issues
No index bloat on low value templates

Crawl and status codes

No 5xx on indexable URLs
4xx cleaned up or redirected
Redirect chains reduced to 1 hop on priority URLs
No loops
Redirects mapped to equivalent pages

Canonical and duplication control

Self canonicals on indexable pages
Canonicals point to the preferred version
Duplicate URL patterns controlled via canonical, redirects, or noindex
Parameter handling defined

Architecture and internal linking

Clear hub structure for topics and services
Priority pages within 3 clicks from a hub
No orphan indexable pages
Breadcrumbs consistent
Contextual internal links added

On page signals

Unique titles and meta descriptions
One H1 per page
Headings aligned to intent
Answer first blocks on key pages
Content includes examples and steps where needed

Performance and experience

Core Web Vitals reviewed for key templates
Mobile usability issues cleared
Heavy third party scripts reviewed
Images sized and compressed

Structured data

Article schema on blog posts with author and dates
Breadcrumb schema site wide
FAQPage schema where FAQs exist
Organisation details consistent

Off page

Backlink quality and relevance reviewed
Anchor text distribution reviewed
Competitor gap reviewed
Citations and NAP consistency checked for local intent

AI retrieval

Prompt tests recorded across multiple models
Content rewritten to match definition and process intent blocks
FAQs written in short extractable answers
Structured data aligned to content

FAQ

What is an SEO audit?

An SEO audit is a structured review of technical health, content quality, internal linking, and authority signals. It identifies what blocks crawling and indexing, what weakens relevance, and what limits growth. The output is a prioritised action plan.

How long does an SEO audit take?

A small site often takes a few days. A large ecommerce or publisher site takes longer due to templates, parameters, and index bloat. Time also depends on access to data and dev input.

What should I fix first after an SEO audit?

Fix indexation blockers first. Then fix broken pages and redirect chains. Next, improve internal linking and content intent match on priority landing pages. Then address performance and structured data.

What tools do I need?

Search Console and analytics are essential. A crawler is essential. A backlink tool helps with off-page work. PageSpeed Insights supports performance checks.

What is included in an enterprise SEO audit?

It includes all standard audit checks plus parameter controls, index bloat reduction, template duplication analysis, governance and QA processes, and monitoring. Log analysis also helps when available.

Conclusion

An SEO audit only matters if it turns into shipped work. Treat the audit as a system. You collect facts, you prioritise by business impact, and you execute in a clear order. Fix crawl and indexation blockers first. Then clean up redirects and canonicals. Then tighten structure, internal linking, and on page clarity. After that, improve content coverage and authority signals. Track changes against a baseline so you can prove what moved.

If you run this process consistently, you reduce surprises, stop wasting crawl budget, and build pages that both Google and AI systems understand. You also make future work faster because every audit produces the same exports, the same backlog format, and the same measurement plan.