Set the Baseline
Full technical crawl, log review, and indexation reconciliation. Two weeks, complete picture.
Grapes Worldwide's Tech and SEO Audit agent crawls your site continuously, clusters errors into root causes, prioritises fixes by revenue impact, and re-verifies every fix after deploy.
Put Your Audits on AutopilotSearch engines love us. More importantly, so do clients. From industry leaders to ambitious challengers, we make sure they reach the right audience. For us, SEO isn’t just rankings, it’s real impact.
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A quarterly audit is a photograph of a site that changed the day after. Our audit agent replaces the photograph with a feed: continuous crawling, log analysis, and regression watching that cluster thousands of signals into a handful of root causes, scored by the revenue they touch. Engineers get a prioritised queue, not a 90-page PDF, and every fix is re-verified after deploy by the same machine that found it.
The agent crawls on a rhythm that matches your site's change velocity, finding what broke the week it broke, not the quarter after.
What Google actually indexed versus what you shipped, reconciled against sitemaps, canonicals, and robots rules continuously.
Lab and field data watched together, so a speed regression is caught before the chart reaches your inbox.
Schema validity, coverage, and richness checked on every template, because rich results are won or lost in the markup.
Search engine behaviour read from your server logs: how bots spend budget, what they waste it on, and where they hit walls.
Every issue scored by the traffic and revenue it puts at risk, so engineering works the list that pays, not the list that shouts.
The agent that found the issue re-tests it after the fix ships, and does not close the ticket until the evidence says so.
Migrations and redesigns get agent cover before, during, and after: baselines, real-time watch, and diff reports that catch drops early.
Five stages, one goal: a technical programme that finds, fixes, and proves, continuously. Run for enterprise and growth sites across five countries.
Full technical crawl, log review, and indexation reconciliation. Two weeks, complete picture.
Every issue modelled for traffic and revenue at risk, sequenced into a fix roadmap engineering will accept.
Continuous crawling and regression alerting live, tuned to your release cadence.
Engineers work the prioritised queue with evidence attached to every ticket.
Post-deploy re-tests close the loop, and recurring root causes surface as process fixes.
The audit agent puts smaller agents inside the diagnosis workflow. They crawl, read logs, validate markup, and watch regressions continuously, then cluster thousands of line-item signals into root causes a human can act on the same day. At Grapes, every agent workflow ends at a human desk, where your technical lead owns the fix queue and signs every closure.
Agents crawl on schedule and on trigger, catching breakage the week it happens.
Your technical lead triages what they surface.
Agents segment bot behaviour and find where crawl budget dies.
Engineers approve every robots and canonical change.
Agents watch vitals and coverage for post-release regressions hourly.
The release owner takes every alert.
Agents score issues by revenue at risk and keep the roadmap sequenced.
Your PM owns the order of the queue.
Agents re-test every fix after deploy and attach the evidence.
Tickets close only on human sign-off.
Agents watch migrations in real time and diff before against after.
Your PM owns every go and no-go call.
What changes for you
AI multiplies our output. It never replaces our judgment.
The questions CXOs ask us before signing, answered straight.
It runs the technical audit continuously instead of quarterly: crawling, indexation reconciliation, Core Web Vitals, structured data, and log file analysis, with every issue scored by the revenue it puts at risk and every fix re-verified after deploy. You get a prioritised engineering queue with evidence, not a PDF that ages badly.
Tools give you thousands of line-item errors; the agent gives you a handful of root causes. It clusters the noise, models which issues actually touch revenue, verifies fixes after they ship, and escalates only what needs a human decision. The tool is a data source; the agent is the analyst.
Yes, that is where it earns its keep: baselines captured before, real-time watch during, and diff reports after, so a traffic drop is caught on launch night with the probable cause attached, not discovered in next month's report.
The same agent that found the issue re-tests it after the fix deploys, watches the affected templates for regression, and attaches the evidence to the ticket. Closure requires human sign-off on that evidence, so done actually means done.
The opposite. Agents cluster and prioritise, so engineers receive a short, revenue-ranked queue with business justification attached. Most teams see their technical backlog shrink because duplicate, low-value, and already-fixed items stop being re-raised.
Crawl access to your environments, log files or a log export, and read-only visibility on analytics and Search Console. Everything runs inside our stack; nothing is routed through a public LLM, and client data stays isolated.
Because continuous beats periodic where it matters: 250% organic traffic growth and 263% search visibility growth were delivered by programmes that found and fixed issues in days, not quarters, across our five offices.