The 30-Day AI Search Pipeline Recovery Sprint with Josh Grant

AI search does not always require a six-month strategy. In some cases, teams can improve visibility and influence pipeline within 30 days.

Josh Grant, former VP of Growth at Webflow and Affirm and founder of Stacked GTM, joined AirOps Head of Search Marketing Josh Spilker to break down how brands can recover lost AI search visibility in 30 days instead of six months. The core message: citation wins depend far more on structure and freshness than on the kind of ranking history that takes years to build in traditional SEO.

Top 5 Takeaways

1. AEO Can be a Pipeline Sprint

Fast gains are possible because citation wins depend more on structure and freshness than rankings. Where SEO rewards age and authority built up over years, AEO rewards whatever is cleanest and most current at the moment the model answers.

2. Start With Retrieved-but-Not-Cited Pages

If models already read your pages, improving extractability is usually faster than creating net-new content. The brand is already in the model's consideration set, it's just losing the citation.

3. Comparison and Pricing Pages Are the Highest-Leverage Assets

These pages sit closest to purchase intent and often produce the fastest commercial citation lift of any page type on the site.

4. Off-Site Influence Matters More Than Most Teams Expect

Third-party lists, reviews, and community threads heavily shape which brands models mention and cite, often more than the brand's own domain does.

5. Measure AEO Directionally, Not With False Precision

Answer share, mentions, and pipeline trends matter more than waiting for perfect last-touch attribution, especially as AI-assisted journeys fragment the customer path.

Best Practices and Key Learnings

Find the Pages Already Being Retrieved

Most brands assume AI systems can't find their content. More often, the model retrieves the page, reads it, and chooses a different source to cite. That's a solvable problem, not a visibility gap.

Start with pages that were cited recently but have since disappeared. Prioritize pricing, comparison, alternatives, and "best of" pages, since these sit closest to the buying decision. A page already being retrieved has cleared the hardest step; the job now is making it easier for the model to use.

Run a Refresh That Takes Minutes, Not Weeks

Many teams hear "refresh" and picture a new brief, hundreds of added words, and multiple review rounds. As Grant put it, "if it needs a brief, like, you're doing too much." A real AEO refresh can take about 20 minutes.

• Update an outdated claim or stale statistic
• Add one recent, proprietary number for credibility
• Turn a dense paragraph into a scannable list
• Replace vague language with a direct, quotable answer
• Update the page date and resubmit the URL

Build Comparison and Pricing Pages for Extraction

These pages sit closest to the buying decision, and Grant noted that comparison pages "gave the biggest citation lift of any other commercial page." Models want specific, structured information there, not a wall of prose to interpret.

• Replace dense paragraphs with short sentences and tables
• Put pricing in a plain, explicit list rather than descriptive text
• Spell out feature differences directly instead of implying them
• Add one fresh, proprietary data point as a cheap credibility signal

Think of Off-Site Sources as Part of the Channel

85% of brand mentions in AI search come from third-party sources, not owned domains. That means influencing where the model already looks is often more valuable than adding another page to your own site.

• Identify which third-party lists, reviews, and roundups models already cite
• Work to move up within those lists rather than chasing new placements alone
• Participate authentically in communities like Reddit, which still shows up in roughly one in five AI answers
• Give real answers that name multiple tools, including competitors, since that's what earns trust in these spaces

Operate AEO Like Any Other Growth Channel

Paid search gets a target, a budget, attribution, and a weekly review. AI search deserves the same treatment, or it risks being run like a side project with no owner and no reporting.

• Build a baseline and track priority prompts
• Monitor which pages are retrieved versus which are actually cited
• Measure refreshed pages as their own cohort to isolate what's working
• Connect visibility gains to pipeline where possible, using directional signals instead of waiting on perfect click-path attribution

How to Put This Into Practice

The sprint itself runs four weeks, with most of the actual work concentrated in week two. Off-site outreach starts immediately in week one, while on-site fixes and citation monitoring follow close behind. Teams don't need to choose between the two tracks; they run in parallel from day one.

Start with one set of commercial pages, pricing or comparison, that show up in Google Search Console or AirOps as retrieved but not cited. Ship the 20-minute refresh on the highest-intent pages first, then expand outreach to the third-party sources already driving citations in your category.

What a Recovered AEO Presence Looks Like

Grant's research points to a simple standard: brands don't need to out-publish competitors to win AI citations, they need to out-structure them. Teams that pair fast on-site extractability fixes with deliberate off-site presence, and that measure the results like a real channel, put themselves in a much stronger position within 30 days.

To learn more about how AirOps can be your growth platform for AI search, email growth@airops.com with "webinar" in the subject line.

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