- Complete 8-week workflow that takes you from initial AI search audit to full implementation
- Week-by-week tasks, deliverables, and time estimates so you always know what to do next
- Works for in-house teams, freelancers, and agencies managing client AEO projects
- Includes a priority matrix for when you don’t have time to do everything
Stop Guessing. Follow the Workflow.
The biggest problem with AI search improvement isn’t knowing what to do. It’s knowing what to do first. And second. And third.
I’ve watched teams spend weeks on schema markup before they’ve even audited their current AI visibility. Or build entity profiles before fixing broken crawl access. The order matters. A lot.
This workflow is the sequence I use for every new AEO project. 8 weeks from audit to live implementation. It’s been refined across dozens of projects, and it works because it front-loads the quick wins while building toward the structural changes that compound over time.
That weekly time commitment assumes one person working on AEO part-time alongside other responsibilities. If you have a dedicated team, you can compress the timeline. Source for the traffic growth: BrightEdge 2025 data.
Phase 1: Audit (Weeks 1-2)
You can’t fix what you haven’t measured. Phase 1 is about understanding your current state across every dimension that matters for AI search.
Week 1: Technical and Entity Audit
Week 1 Tasks
Check your robots.txt for AI crawler blocks. Test whether GPTBot, ClaudeBot, PerplexityBot, and Google-Extended can access your site. Many sites accidentally block AI crawlers.
Run your top 20 pages through Google’s Rich Results Test. Document what schema exists and what’s missing. Use our schema markup guide as your reference.
Check Google Knowledge Graph, Wikidata, and Wikipedia for your brand. Search your brand name on ChatGPT, Perplexity, and Gemini. Document what AI engines know (and don’t know) about you. Our entity architecture guide explains what to look for.
Check GA4 for referral traffic from chatgpt.com, perplexity.ai, and other AI platforms. Record the baseline numbers.
Week 1 Deliverable: Technical audit document with current state scores for crawl access, schema, entity presence, and AI traffic.
Week 2: Content and Competitive Audit
Week 2 Tasks
Score your top 20 pages using the 10 AI search signals: direct answers, entity coverage, factual density, source citations, structure, schema, freshness, author authority, FAQ coverage, and technical access.
Test 15 industry queries across Perplexity and ChatGPT. Document which competitors get cited and for which queries. Use our free citation checker to speed this up.
Combine the technical audit and content scores. Create a ranked list of fixes ordered by impact and effort. This becomes your roadmap for weeks 3-8.
Week 2 Deliverable: Priority action list with estimated impact scores. This is the document that drives everything else.
Phase 2: Foundation (Weeks 3-4)
Now you fix the infrastructure. These are the technical changes that enable everything else.
Week 3: Technical Foundation
Week 3 Tasks
Allow AI crawlers access to your content. Add or remove User-agent directives for GPTBot, ClaudeBot, PerplexityBot. If you’re not sure what to do, our robots.txt guide has copy-paste configurations.
Create a machine-readable file that tells AI engines what your site is about. Use our llms.txt generator to create one in minutes.
Add Organization (or LocalBusiness) schema to your homepage. Include sameAs links to all your social profiles and Wikidata entry. Use our schema generator to build the markup.
Create or improve author pages. Add Person schema with credentials, social links, and worksFor connections. Author authority is a real signal for AI citation selection.
Week 3 Deliverable: All technical foundations live on the site. AI crawlers can access content, schema is implemented, llms.txt is published.
For a complete technical checklist, reference our technical AEO checklist.
Week 4: Entity Foundation
Week 4 Tasks
If your brand doesn’t have a Wikidata entry, create one. If it exists, verify and fill in all relevant properties: official website, founding date, headquarters, industry, key people.
Claim Google Business Profile, Crunchbase, LinkedIn Company page, and relevant industry directories. Make sure brand name, description, and key facts are consistent everywhere.
For your main content creators: update LinkedIn profiles, create or improve personal websites, add published works and credentials. AI engines evaluate author credibility when choosing what to cite.
Create a custom channel group in GA4 that separates AI search traffic from organic and referral. Set up a Looker Studio dashboard to track AI traffic over time.
Week 4 Deliverable: Entity presence established across key platforms. GA4 tracking configured.
Phase 3: Content Improvement (Weeks 5-6)
This is where the real magic happens. You’re taking your existing content and making it citable.
Week 5: Top 10 Pages
Week 5 Tasks
Take your 5 highest-priority pages from the Week 2 audit. For each one: add direct answers in the first 200 words, increase entity mentions, add data citations, improve header structure, add FAQ section with schema.
Same process for the next 5 pages. By end of week, your top 10 pages should score 70+ on the AI content scoring template.
Week 5 Deliverable: 10 pages improved with AI search signals. Before/after scores documented.
Here’s an uncomfortable truth: most of the content improvement work is boring. You’re adding data citations to existing articles. You’re restructuring headers. You’re writing FAQ sections. It’s not glamorous work, but it’s the work that gets you cited.
Week 6: Next 10 Pages + New Content
Week 6 Tasks
Continue the page-by-page improvement process. Focus on pages with the highest traffic potential.
From your competitive analysis, identify 2 queries where no one has strong content. Create pages specifically designed to win those AI citations. Structure them for AI from the start.
Week 6 Deliverable: 20 total pages improved. 2 new pages published targeting citation gaps.
Phase 4: Monitor and Iterate (Weeks 7-8)
Week 7: Monitoring Setup
Week 7 Tasks
Create your monitoring schedule: weekly Perplexity checks, monthly full-platform scans, GA4 dashboard reviews. Document the process so anyone on your team can do it.
Re-run the competitive analysis from Week 2. Compare results. Have your citations improved? Which platforms show movement?
Based on early results, adjust your ongoing priorities. Double down on what’s working. Reconsider what isn’t.
Week 8: Report and Plan Forward
Week 8 Tasks
Document everything: baseline metrics, changes made, current metrics, and citation improvements. This report is your proof that the work is paying off.
Transition from the 8-week sprint to an ongoing monthly workflow. Include: 5 pages improved per month, weekly monitoring, monthly competitive check, quarterly full audit.
Based on results, plan the next quarter. What content gaps remain? What technical improvements need attention? Where are the biggest competitive opportunities?
Week 8 Deliverable: Complete implementation report. Ongoing workflow documented. Phase 2 plan drafted.
The Priority Matrix: When You Can’t Do Everything
Real talk. Most teams don’t have 8 weeks of uninterrupted time. Things come up. Priorities shift. If you have to cut corners, here’s what to prioritize:
| Priority | Task | Why It’s High Priority | Time |
|---|---|---|---|
| 🔴 Must Do | Fix robots.txt for AI crawlers | If AI crawlers can’t reach your site, nothing else matters | 1 hour |
| 🔴 Must Do | Add Organization schema | Baseline entity signal. Quick to implement, big impact. | 2 hours |
| 🔴 Must Do | Improve top 5 pages | Your highest-value content needs to be AI-ready first | 5 hours |
| 🟡 Should Do | Create llms.txt | Easy to do, growing in importance | 1 hour |
| 🟡 Should Do | Build author entity profiles | Author authority signal is real | 2 hours |
| 🟡 Should Do | Set up GA4 AI tracking | Can’t improve what you don’t measure | 1 hour |
| 🟢 Nice to Do | Wikidata entry | Helps long-term but impact takes months | 2 hours |
| 🟢 Nice to Do | Full competitive analysis | Useful for strategy but not urgent | 2 hours |
If you only have 10 hours total, do the red items. That covers your technical foundation and top content. Everything else can come later.
Common Mistakes in the 8-Week Workflow
Spending too long on the audit. I’ve seen teams audit for 4 weeks and never get to implementation. Cap your audit at 2 weeks. You’ll learn more from implementing than from analyzing.
Trying to improve every page at once. Focus on 20 pages max in the first 8 weeks. Going wider means going shallower, and shallow improvements don’t move the needle.
Ignoring the monitoring phase. Weeks 7-8 feel less “productive” than the implementation weeks. But without monitoring, you won’t know what worked. And you won’t be able to make the case for continued investment.
Not involving developers early enough. If schema markup changes require developer time, loop them in during Week 1. Don’t wait until Week 3 to find out there’s a 3-week dev queue.
For the complete reference on what AI search improvement involves, start with our pillar guide on AI search improvement.
After the 8 Weeks: What’s Next?
The 8-week workflow gets you from zero to baseline. After that, switch to a monthly cadence:
- 5 pages improved per month
- 2 new pages targeting citation gaps
- Weekly monitoring (30 minutes)
- Monthly competitive check (1 hour)
- Quarterly full audit and strategy review
AI search improvement compounds. The brands that started 6 months ago are hard to catch now. The brands that start today will be hard to catch in 6 months. That’s how entity authority and citation momentum work.
For the complete playbook, reference our AEO playbook.
Want Us to Run This Workflow for You?
Our team handles the full 8-week implementation, from audit to monitoring setup. Get your free AI visibility audit and see what your first 8 weeks would look like.
Frequently Asked Questions
Yes. With a dedicated team, you can compress it to 4-5 weeks by running audit and foundation tasks in parallel. But don’t skip phases. The order matters because each phase builds on the previous one. Rushing the audit leads to wasted effort in later phases.
One person working 5-10 hours per week can handle the entire workflow. For faster implementation, a team of 2-3 (one technical, one content, one strategy) can run phases in parallel and finish in 4-5 weeks instead of 8.
The same workflow applies. Add a Week 0 for client onboarding (access to GA4, CMS, and existing documentation). Adjust the Week 8 report to be client-facing with recommendations for ongoing work. Many agencies use this workflow to structure their AEO retainer deliverables.
Citation improvements can appear within 2-4 weeks of content changes, especially on Perplexity (which re-crawls frequently). ChatGPT and Claude changes take longer because they depend on model training updates. GA4 traffic changes typically show up within 4-8 weeks. Plan for meaningful results by month 3.