Automated GEO Fixes

Fix the site AI engines actually read.

Zeover turns crawl findings into AI-readable repairs: llms.txt, schema, canonical cleanup, metadata, artifact cleanup, and implementation-ready tasks that keep evolving with your site.

Start Fixing See Workflow
zeover.com/fix-center Live repair queue
87

AI-readable score

+31 after fixes
llms.txt Generate, validate, and keep the AI crawler map current
Ready
Organization schema Create clean JSON-LD from approved brand facts
Generated
Article markup Add extractable titles, dates, authors, and source URLs
Queued
Canonical cleanup Flag confusing duplicates and broken canonical targets
Fixed
AI artifact cleanup Remove machine-looking punctuation and hidden characters
Clean
Regression watch on Next scan in 6h
2 people of manual GEO cleanup avoided on large sites
1 year of repetitive technical remediation compressed
24/7 regression watch as your site keeps changing

The repair loop

Not a report. A living fix system.

Sites drift. Templates change. Pages ship. AI engines evolve. Zeover keeps reassessing your technical GEO surface so regressions do not quietly cost you visibility.

01

Find blockers

Crawl every page and detect what makes content hard for AI engines to parse, trust, or cite.

02

Generate fixes

Produce the files, schema, snippets, and plain-English instructions needed to repair the issue.

03

Apply with humans or agents

Use your team, Zoe, MCP, Skills, Claude, Codex, Cursor, or existing workflows to ship the fix.

04

Reassess forever

Keep scanning for regressions as pages, CMS templates, content, and AI-engine expectations change.

What gets repaired

Every fix makes your site easier to understand, cite, and recommend.

Validated llms.txt
Organization schema
Article schema
Canonical issues
Broken links
Missing metadata
Heading hierarchy
AI artifact cleanup
Author signals
Citation pages
Content freshness
Internal links
MCP / Skills ready Ship fixes with your AI workspace
1

Pull highest-impact findings

2

Create the missing AI-readable assets

3

Open implementation-ready tasks

4

Refresh the scan and prove the regression is gone

Agent result

Implementation plan ready

Human or agentic

Fixes your team can ship. Fixes agents can use.

Non-technical teams get plain-language instructions and ready assets. Technical teams can call the same Zeover context through MCP and Skills from Claude, Codex, Cursor, or internal agent workflows.

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Big site? Bigger payoff.

Stop burning a year of people-time on repeat fixes.

Let Zeover generate, validate, and monitor the AI-readable infrastructure your site needs to stay visible.

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