USE CASE
Automated technical SEO
that applies the fix.
An automated audit still leaves the fixing to you. This guide covers what can safely be automated, what still needs a person, and how SEORCE applies fixes on your live site with every change logged and reversible.
What is automated technical SEO?
Automated technical SEO is the use of software to find, rank and fix technical problems on a website continuously, with little manual work. It has three levels: automated auditing, automated prioritisation and automated fixing. Auditing is the easiest of the three. Fixing is the hardest to automate safely, so it is limited to problems with one correct answer, such as a missing title tag or a broken canonical tag. Everything else is diagnosed by software and decided by a person.
Key facts
- Automation has three levels: finding problems, ranking them, and fixing them
- An audit that runs on a schedule is automated auditing. The fixing is still manual
- Detecting, diagnosing and fixing are separate jobs. Only problems with a single correct answer are safe to fix automatically
- Decisions that depend on business context, such as blocking a crawler or merging duplicate pages, stay with a person
- Every automatic change should be logged, reversible and checked again on the next crawl
- SEORCE AutoFix applies fixes on the live site through one script tag, in a form Google and AI crawlers can read, with a before-and-after record of each change
Last reviewed 15 October 2026 by the SEORCE team.
The audit is automated. The fixing isn't.
A crawler can find a thousand issues overnight. Then they sit in a spreadsheet, waiting for a sprint that has other priorities. Most sites have plenty of findings and very few fixes.
A scheduled audit gives you
- –A long list of issues, sorted by severity label
- –An export to pass to developers
- –Tickets that wait for the next sprint
- –The same list again next month
Automated technical SEO gives you
- ✓Issues ranked by what they cost you
- ✓The safe fixes applied without a ticket
- ✓A record of every change, with a way back
- ✓Each fix checked again on the next crawl
It matters more now that AI engines read your pages too. A page a crawler can't reach or parse can't be cited in an answer.
Three levels of automation. Each saves different work.
When a tool says it automates technical SEO, it's worth asking which level it means, because each one saves a different kind of work.
Know what's broken, without asking.
The crawl runs on a schedule and covers every page. You stop finding out about problems from a traffic drop.
- The whole site, every timeEvery page within scope is crawled on a schedule. Nothing is sampled once and left to go stale.
- What a browser sees, tooFor JavaScript-driven pages, the raw HTML is compared with the rendered page, so content that only appears after scripts run gets checked.
- Access checked bot by botGooglebot, Bingbot and AI crawlers are each checked separately, because one rule can block one and allow another.
- What changed since last timeCrawl history is kept run over run, so new and resolved issues show up as a comparison.
Know which ten matter this week.
Nobody acts on a list of a thousand findings. Ranking them is what turns an audit into a plan, and three things decide the order.
- ScaleHow many pages the issue touches. A fault in a template outranks the same fault on one page.
- ImportanceWhat those pages are worth: the search visits they bring, the rankings they hold and the links pointing at them.
- SeverityWhether the issue stops a page being crawled or indexed, or only weakens it.
- A ranked list, with the fix worked outSEORCE scores every issue by impact and scale, and each one arrives with what to change.
Apply the fixes that have one right answer.
Here the fix is applied on the live site, and you can see exactly what changed.
- Applied on the live siteAutoFix makes the change through the SEORCE script tag. Nobody has to raise a ticket for it.
- A before-and-after recordEvery change is logged with what the page had and what it has now.
- One click to undoAny fix can be rolled back at any time, for any reason.
- Checked on the next crawlIf a template or a deploy overwrote the fix, it shows up as a new finding.
- Readable by Google and AI crawlersFixes are delivered so that crawlers read the corrected page. Each fix type is tested against them before it is released.
<title></title><title>Multi-currency invoicing for agencies | Ledgerly</title>Detect, diagnose, fix. Three different jobs.
Finding an issue, working out the fix and applying it are three separate jobs. Software can do the first two for nearly everything. The third is safe to automate only where a problem has one correct answer.
| Issue type | Detected | Diagnosed, with the fix worked out | Fixed automatically |
|---|---|---|---|
| Meta tagsMissing titles, duplicate descriptions | Yes | Yes | Yes |
| Structured dataMissing or malformed schema | Yes | Yes | Yes |
| Canonical tagsWhere there is one correct answer | Yes | Yes | Yes |
| Image alt textMissing alt attributes | Yes | Yes | Yes |
| HeadingsMissing or duplicate heading tags | Yes | Yes | Yes |
| Orphan pagesInternal links added so the page can be found | Yes | Yes | Yes |
| Redirects and redirect chainsA redirect has to come from the server to work properly | Yes | Yes | Your team |
| Duplicate and thin contentWhich page to keep is a business choice | Yes | Yes | Your team |
| Slow pagesThe root cause sits in code or hosting | Yes | Yes | Your team |
| Server configurationStatus codes, headers, hosting | Yes | Yes | Your team |
| Crawler blocks in robots.txtBlocking a bot is always your decision | Yes | Yes | Your team |
How to automate technical SEO, in six steps.
You can follow these steps with any set of tools. What differs is how many of the six run without you.
Crawl every page, on a schedule
Cover the whole site, including what JavaScript renders. A crawl you run by hand once a quarter isn't automation.
Site audit →Find the cause behind the symptoms
Four hundred pages with the wrong canonical is usually one template. Group issues by cause before anyone starts fixing.
Errors and redirects →Content issues →Free: Redirect chain tracer →Rank by impact and scale
Decide what gets fixed first by what it costs you, and by how many pages it touches.
Technical Suite →Apply the safe fixes automatically
Apply the ones with a single correct answer. Send the rest to a person with the fix already worked out.
AutoFix →Check the fix held
Crawl the page again. A template or a deploy can undo a fix without anyone noticing.
Fix history →Keep watching, and measure the effect
New issues arrive with every release. Keep the crawl running, and mark when fixes went live so you can see what traffic did next.
Web Analytics →Spot-check a page before you crawl the site.
Each of these checks one thing, with no account. They're a quick way to confirm a suspicion before you run a full audit.
Five numbers to report, and how to prove a fix.
An issue count tells you very little by itself. These five show whether the automation is doing anything useful.
| Metric | Step it reflects | What it tells you | Read it with care |
|---|---|---|---|
| Open issues by impact | Prioritise | How much high-impact work is still waiting. | A falling total can hide a rising count of serious issues. Watch the top band. |
| Share fixed automatically | Fix | How much of the work no longer needs a person. | A high share is only good if the fixes were the right ones. Review the log. |
| Time from found to fixed | Fix | How long an issue lives on the site. | Split automatic fixes from manual ones, or the average flatters the manual queue. |
| Fixes verified | Verify | How many fixes were still in place on the next crawl. | A fix that keeps reverting points to a template or deploy problem. |
| Pages bots can reach and read | Crawl | The share of important pages that are crawlable and indexable. | Crawlable is not the same as indexed. Confirm index status in Search Console. |
Measuring one fix: three checks, in this order
The fix is still there
The next scheduled crawl confirms it. A fix that a deploy has undone comes back as a new finding.
Fix history →Search has picked it up
Compare clicks, impressions and position for the affected pages before and after, in Search Console data. SEORCE holds 16 months of it from the day you connect.
Search Console analytics →Visits and goals moved
Add a marker on the day the fix went live, then read traffic and goals for those pages against it. Wait long enough to see past normal variation.
SEO uplift →One release, from breakage to verified fix.
Ledgerly is our demo account, a B2B accounting tool for agencies. A Tuesday release moved the feature pages to new URLs and changed their template. Here is what happened next.
/product/multi-currency → /features-old/… → /features/… → /features/multi-currencyRedirect /product/multi-currency straight to /features/multi-currencyThe scheduled crawl caught it
Nobody had to remember to check after the release. The next run flagged 212 new issues on feature pages.
One cause, four symptoms
Missing titles, duplicate descriptions, broken schema and long redirect chains all traced back to the same release.
Feature pages went to the top
The release touched every feature page, including the ones that bring in the most search visits.
AutoFix applied 171 fixes
Titles, descriptions and schema have one correct answer, so they were applied on the live site and logged.
The next crawl confirmed them
Each fix was checked again. The redirect chains waited for a developer, with the exact target attached.
A marker went on the chart
The team added an uplift marker in Web Analytics on the day the fixes went live, to watch what traffic did next.
We haven't shown what traffic did afterwards. Any figure would be invented.
Finding the issue comes first. AutoFix applies the fix.
SEORCE's crawlers are fast and secure, and they cover all three levels. One script tag on your site turns on AutoFix and Web Analytics together, so the fix and the proof come from the same place.
Every module talks to the others.
A technical issue matters because of what sits behind it. The page may rank for a keyword you care about, earn backlinks that a redirect chain is wasting, or be the one an AI engine should be citing.
In SEORCE those connections are already made. Keywords and prompts link to backlinks, backlinks to technical issues, issues to fixes, and fixes to the traffic that follows.
Ask SEORCE sits on top. It is your AI agent, in the app and on WhatsApp. Ask it a question in plain language and it answers from your project's data.
To start, sign up, link your WhatsApp number and text "Hi" to +1 (363) 200-3169.
Meet Ask SEORCE →How SEORCE handles each part of the job.
This page covers the subject as a whole. The pages below are product pages. Each shows how one part of it works inside SEORCE.
Technical Suite
The SEORCE module that crawls, ranks and fixes technical issues.
See Technical Suite →AutoFix
What is applied automatically, what waits for a person, and how rollback works.
See AutoFix →Site audit
Crawl, indexability and rendering for every page.
See site audit →Crawlability
Sitemap, robots.txt and AI crawler access, checked for each bot.
See crawlability →Errors and redirects
Chains, loops and canonicals, mapped across the site.
See errors and redirects →Structured data
Schema validated and repaired where the fix is clear.
See structured data →Content issues
Duplicate and thin pages found across large catalogues.
See content issues →Internal links
Orphan pages found and linked back into the site.
See internal links →Performance
Core Web Vitals, tied to the cause on each page.
See performance →Assets and media
Images and alt text checked at scale.
See assets and media →Fix history
An exportable record of every change, automatic or manual.
See fix history →AI crawler optimization
The guide to making sure AI bots can reach and read your pages.
Read the AI crawler guide →Frequently asked questions.
Automated technical SEO is the use of software to find, rank and fix technical problems on a website continuously, with little manual work. It has three levels: automated auditing, automated prioritisation and automated fixing.
No. Finding and ranking issues can run without a person. Fixing can be automated only where a problem has one correct answer. Decisions that depend on what the business wants, such as which duplicate page to keep, still need someone to make them.
Problems with a single correct answer. Examples are meta tags, schema, canonical tags, image alt text, headings and internal links for orphan pages. In SEORCE the list of automatic fixes keeps growing, so treat these as examples and not a limit.
Anything that needs judgement. That includes server configuration, redirects, duplicate-content strategy, the root causes of slow pages, content gaps, and whether to block a crawler in robots.txt. Software should diagnose these and a person should decide.
An automated audit finds problems on a schedule and reports them. Automated fixing applies the correction as well. Fixing is what removes the ticket and the wait.
Through one script tag. Once it is on your site, AutoFix applies the fix on the live page, for issue types such as meta tags, schema, canonicals, alt text and headings,, logs what the page had before and what it has now, and checks the fix again on the next scheduled crawl. The same tag turns on Web Analytics.
Yes. AutoFix is delivered through a script tag, and it is built so that Google and AI crawlers read the fixed version of the page. Each fix type is tested against them before it is released.
Yes. Every AutoFix change is recorded in the fix history with a before-and-after view, and can be rolled back at any time.
It is scoped narrowly to avoid that. AutoFix only applies fix types that have one correct answer. Every change is logged and reversible, so undoing one takes a click.
The next scheduled crawl catches it. Fixes are checked again after they are applied, so a fix that a template or a release has undone shows up as a new finding.
By impact and scale. SEORCE scores every issue on what it costs and how many pages it touches, then lists them in order. The aim is to know which ten matter this week.
Yes. AI engines can only cite pages their crawlers can reach and read. SEORCE checks access separately for AI crawlers such as GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot. The AI crawler optimization guide covers this in full.
In two ways. The next crawl confirms each fix is still in place. Then Web Analytics, which is free on every plan, shows what traffic did afterwards. You add an uplift marker on the day fixes go live.
No. SEORCE has no GA4 connection. It connects to Google Search Console, and Web Analytics runs from the SEORCE script tag.
No. It takes the well-defined, low-risk fixes off their list. Anything that touches server configuration, application code or content still goes to your team, with an exact diagnosis attached.
It depends on your plan. AutoFix repair volume scales by tier, and the pricing page lists the current limits.
Ask SEORCE is SEORCE's AI agent, currently in beta. It works in the app and on WhatsApp, and answers plain-language questions from your project's data, such as which fixes were applied this week. It is included for every user, with no usage limit. To use it on WhatsApp, link your number and text Hi to +1 (363) 200-3169.
No, and nor can anyone else. SEORCE fixes what it safely can, shows you the rest in order of impact, and then measures what happened.
Yes. SEORCE has free tools for redirects, status codes, canonicals, schema and sitemaps, and a browser extension that audits the page you're on. A full crawl covers every page, which the free tools don't.
See what's broken, and what's already fixed.
Add your site and run the first crawl. You'll see every issue ranked by impact, and which ones AutoFix can take off your list.
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