There is plenty of noise about what moves the needle for AI visibility. FAQ schema, content volume, and llms.txt are real foundational questions. But the actual goal sits elsewhere: driving an actionable next step from the consumer — harder now that AI increasingly behaves like a billboard rather than a conversion driver.
Brands need to separate two outcomes. What gets you mentioned in AI responses, and more importantly, what gets you cited — with a link back to the source, ideally an owned property.
AirOps research found that up to 85% of top-of-funnel B2B brand mentions in AI search come from third-party content.
To be found by AI, your products and messaging must be understood by both potential customers and LLMs. To be chosen, you need trust and authority. What follows is a three-phase compounding process combining AEO and SEO across owned and earned media.
Phase 1: Make Your Pages Accessible to LLMs
This phase is mostly conventional SEO plus classic UX:
- Proper, logical navigation
- Machine-readable page structure
- SEO and accessibility-focused tagging
- Updates to existing site content: product detail pages (PDPs), blog and editorial, company profiles
- Social content cleanup
Start page structure optimization here. Experiment with adding key takeaways to popular editorial pieces. Make sure PDPs follow a logical path — product-focused H1s and H2s, segmented feature bullets, descriptions, comparisons, and "complete the look" modules for apparel. All of it feeds retail results in AI.
Phase 2: Create Fresh Content — New and Repurposed
Google Search loves fresh content. LLMs love fresh takes.
Brands always say positive things about their own products. That is a given, and both humans and LLMs know it. You still need owned content, because it holds brand-informed messaging and functions as the source of truth. Your website and owned social profiles must be technically optimized and must control baseline messaging about who you are and what you offer — that consistency then carries into Trustpilot, Reddit, TikTok, and elsewhere.
Split this phase in two: fresh and refreshed.
Fresh: Target Your Gaps
One example: a 12-month organic content roadmap built for an insurance provider, based on three-plus years of keyword research, SEO insights from quarterly business reviews, and analysis of which assets AI was actually citing. Alongside it came a list of seasonal editorial pieces for both on-site use and newsletter distribution, complete with first-party, proprietary, data-backed studies.
Refreshed: Simple Repurposing
Have an informational blog post that performed well before AI search? Build it out as an infographic. Need to share an on-site topic socially? Use a hub-and-spoke approach with granular breakdowns posted as short-form video on Instagram or TikTok.
By now you have an owned asset plan, a topic list, and identified subject matter experts. That gets you mentioned in AI responses. It does not guarantee you get cited. Understanding what you offer is not the same as deciding to reference you — which is where phase three comes in.
Phase 3: Outreach and Digital PR
With major LLMs still working out how to interpret paid media, organic strategy carries unusual weight.
Keyword research remains vital, but it must combine with understanding the prompts users actually ask. From that combination, build a query fan-out list to map the topics and solutions your potential customers are pursuing.
With that prompt list, its seed keywords, and gap analysis across both traditional and AI results, you can see who is cited and what is shown. That "who" and "what" is where digital PR operates.
Connecting with authoritative third-party sources — publications, podcasts, Substacks — produces trust from parties with no stake in your brand, which makes those citations as valuable as a Google or Yelp review.
The obvious objection: "I'm a small brand with a friendly customer base — how do I get third-party placement?" The answer is that Tier 1 placements are not required. Targeting highly authoritative niche blogs and editorial sites has lasting impact on AI citations, because industry experts in your field are the main storytellers LLMs draw from.
Most organizations already employ people who would happily produce shareable, citable insights for journalists. Those are your subject matter experts. The same approach works for microinfluencer outreach — industry-specific influencers make more sense to human readers, so they make more sense to LLMs. Reaching out to fans with established followings works too.
Consistency is what compounds trust here. Brand messaging must hold across owned and earned media, and you should stay with publications and influencers that represent what the brand stands for.
The Compounding Effect
These phases are a sequence, and each strengthens the next.
- Technical accessibility gets you found.
- Fresh, brand-informed content gets you understood.
- Earned coverage and digital PR get you chosen, because that is trust no brand can manufacture about itself.
Skip one and the other two lose leverage. A well-optimized site with no fresh content has nothing to cite. Great content with no third-party validation gets understood but may never be trusted enough to be chosen.
Run all three and the effect compounds — each citation reinforces the last, and every piece of earned coverage makes owned content more credible.
Applying It
Citation patterns differ by platform, which is worth reading alongside this. The finding that 75% of LinkedIn's AI citations come from people rather than company pages supports why phase three puts subject matter experts up front. And the argument for designing distribution before chasing rank overlaps directly with building your SEO strategy as if search engines did not exist.
Bottom Line
Authority in AI results is built the way it has always been built in marketing: with consistency across every channel. A combined organic plan — optimizing owned properties while guiding earned partners — improves sentiment in LLM responses and raises citation rates.