Most AEO advice gives you the same five tactics: structure your content, add schema, write FAQs, get backlinks, build authority. The last one is usually reduced to a single line, as though “building authority” is just a checkbox, instead of the entire mandate.
It’s not part of the job. It is the job.. Muck Rack's May 2026 study of 25 million AI citations found 84% came from earned media. The credibility produced by other people writing about you, not the content you publish about yourself. That’s the foundation of answer engine optimization and most tactical advice misses it.
The 15 strategies below are grouped by the three signal layers AI engines actually weigh, in order of importance: earned authority, reputation and consensus, owned clarity. The full framework, plus the research behind every claim here, lives in our AI Visibility white paper.
Earned Authority (the heaviest signal)
1. Get your executives onto broadcast TV with a digital archive.
A TV segment that lives only on the air is gone the moment it ends. A TV segment archived on the broadcaster's website, with a searchable transcript and an article around the clip, gets indexed and read by AI systems for years. Before booking the appearance, confirm the digital footprint. The archive is the actual asset.
How do you actually land the booking? Cold pitching producers rarely works. Most broadcast bookings flow through producers' established source networks, which is why an experienced PR firm with broadcast relationships moves faster than an in-house team building those networks from scratch. Solv Communications was founded by a 20-year network television news veteran, which is exactly the kind of background that opens these doors.
The point isn't a single CNN hit. It's a steady cadence of expertise-based segments across regional and national outlets, each one leaving an archived asset behind.
2. Build a podcast pipeline in your category.
Podcast transcripts are some of the most under-leveraged content in AI search. Independent expert commentary in long-form audio gets weighted heavily once the host's site publishes the episode page. Aim for shows that produce written summaries and bios. Skip the ones that don't.
Pitch with a specific angle, not a self-promotional bio. Hosts get hundreds of "I'd love to come on your show" emails. They book the people who arrive with a clear topic, original data, or a contrarian view they can actually defend. A portfolio of 10 to 15 appearances over six months compounds far harder than a single big-name show, because each appearance feeds the entity signal AI engines use to confirm you're a recognized voice in your space.
3. Publish original research with a number journalists can cite.
A research-backed white paper or industry report turns your brand into a primary source. The 2024 GEO paper from Princeton, Georgia Tech, and IIT Delhi found adding statistics to a page lifted AI citation rates by ~31%. Now imagine being the source those statistics come from.
Survey research is the most cost-effective version of this. Even a modest 200-respondent industry survey can generate a dozen quotable stats , each one a potential anchor for a journalist’s story. Pre-brief two or three reporters in your category before publishing, so the launch lands with coverage rather than hoping it gets discovered. The compounding asset is months of secondary citations as other writers reuse your numbers.
4. Land contributed pieces in trade publications, not your own blog.
A 1,200-word article in a respected industry journal will outperform ten copies of the same article on your own domain. AI engines are trained to discount marketing copy. Editorial voice on a publication you don't own carries weight that self-published content structurally cannot.
Most trade pubs accept contributed pieces from credentialed authors, but the pitch needs to lead with an angle, not a credential. Editors don't care that your CEO has 25 years of experience. They care that your CEO has a specific, defensible argument the publication's readers haven't heard a hundred times before. Three contributed placements per executive per year, in publications your category cites, builds a body of work that AI systems read as expertise.
5. Get named in analyst and category reports.
You don't need a Magic Quadrant placement. Even being mentioned in passing as a vendor in a category overview feeds AI systems clean third-party validation that you exist, you matter, and someone independent thinks so.
Beyond the major firms, there are dozens of niche analysts covering every vertical. Track who's publishing the category overviews your buyers read, then build relationships with those analysts. Brief them quarterly, even informally. Send them your original research before publication. Over time, the goal is to become one of the names that comes to mind when they're writing the next category piece. That's the moment you become a primary source for AI synthesis of your space.
6. Pitch the journalists AI actually cites, not the ones with the most followers.
PR teams pitch journalists with only a 2% overlap with the ones AI engines actually cite. Most pitch lists are built around high profile reporters. AI pulls from a completely different class of sources: niche trade journalists, beat reporters, and academics whose work is published in the right ecosystems.
Identifying these writers takes deliberate work. Ask ChatGPT, Claude, and Perplexity for category recommendations, then click through to the citations to see who's writing the pieces being pulled. Tools like Muck Rack's Generative Pulse formalize this, but the manual version works fine for a focused list. Build the relationships intentionally over months, not in panicked outreach the week before a launch.
Reputation and Consensus
7. Become a useful presence on Reddit and Quora without spamming.
Reddit ranked among the top three most-cited domains across ChatGPT, Google AI Mode, and Perplexity in Semrush's three-month analysis. Both Google and OpenAI pay tens of millions per year for access to Reddit content. The platform is wired into the model.
This works if it's done by someone with genuine expertise, posting under their own name, with affiliation disclosed. It fails when it's done by a marketing intern under a sock-puppet account. Subreddit cultures matter, and what plays in the subretit “r/marketing” will get you banned in r/sysadmin. Show up consistently in the threads where your category gets discussed, answer questions thoroughly, and don't link back to your site. The visibility is the point. The conversion happens later when someone Googles your name.
8. Build review velocity, not just review volume.
AI systems place greater weight on newer information. Five hundred 4-star reviews from three years ago carry less than fifty from the last six months. Prioritize the platforms your category actually ranks on: G2 for SaaS, industry directories for regulated sectors, Google Business for local. SOCi found the average rating among the 1.2% of business locations ChatGPT actually recommended was 4.3. Below that, the model routes elsewhere.
Build review requests into customer onboarding milestones, not into a once-a-year campaign. Ask at moments of demonstrated value, like post-launch, post-renewal, or after a successful support resolution. Respond to every review, including the negative ones, because the response itself is content AI engines read. A measured, professional reply to a 2-star review can carry more weight than the review itself.
9. Sponsor local events that generate independent press coverage.
Logo placement is not a signal. Editorial output is. A local sponsorship that gets covered in the community paper, the regional business journal, or the industry blog feeds the consensus layer. A sponsorship that ends in a self-issued press release doesn’t generate any downstream value.
Before committing, ask the organizer who has covered the event in the past and review last year’s media list. If no journalists have attended in three years, you’re looking at a logo-on-a-banner sponsorship, not much more. Provide a story angle, not just a logo file. The events worth sponsoring are the ones where you're walking away with a quote in the local business paper, not a thank-you in the program.
10. Make your brand a clean Wikidata entity.
If a brand qualifies, it’s on Wikipedia; if not, it’s on Wikidata. These are foundational reference points AI systems use to confirm an entity exists and resolve which version of "ABC Corp" you actually are.
Wikipedia has notability standards most mid-market companies don't meet, but Wikidata is more permissive. You can create your own entity there, provided every claim is sourced. Once it exists, link to it from your homepage using schema.org's sameAs property. This is a few hours of technical work, but it’s one of the highest-leverage things you can do without owning the page it shows up on.Most companies in your category haven't done it, which is exactly why doing it well separates you from the competitors.
Owned Clarity
11. Build a YouTube channel targeting long-tail buyer questions.
YouTube accounts for roughly 29.5% of all citations in Google AI Overviews, more than any other single domain, and gets cited about 200 times more often than any other video platform across AI search. It works through “query fan-out”: when someone asks a question, Google’s AI breaks it into smaller questions and looks up each one at the same time. Searches like “how to,” “what’s the difference,” and “why does” often bring up a lot of video results.
The thing that gets cited isn’t the video itself, it’s the transcript. AI systems read the spoken content and often pull directly from the text, treating it like a written article. That means script quality matters more than production polish.
Keep the focus on answering real buyer questions. A short, direct clip that clearly addresses a specific query will usually perform better than a highly produced brand video.
12. Put the answer in the first 30% of every page.
Kevin Indig's analysis of 30 million ChatGPT citations found 44% of citations came from the first third of a page. Most websites bury the actual answer below 600 words of preamble. AI gives up before it gets there.
Use the inverted pyramid structure journalists use. Start with the conclusion, then add supporting details. The definition of “what is X” should come in the first 100 words, not buried later after a long setup. Most marketers structure pages backward, building tension toward an eventual answer. AI doesn’t read for storytelling, it pulls facts, ranks them by where they appear, and moves on.
13. Pack authority pages with quotations and statistics.
The GEO paper found that adding third-party quotations lifted AI citation rates by up to 41%. Adding statistics added another ~31%. Together, they performed better than either one on its own. Your most valuable content isn’t the cleverest writing, it’s the page with the most credible third-party voices and data.
Use only primary sources like original studies, peer-reviewed research, government data, and named experts.Avoid the citation chains where everyone links to one secondary article that summarized one survey. AI engines are getting better at recognizing when a "stat" has been laundered through six blog posts and lost its original context. Data becomes more credible when it comes from more credible sources.
14. Refresh your top authority pages every 60 to 90 days.
Not new blog posts, but updates to the pages that are already getting cited. Update statistics, refresh examples, replace outdated claims, swap in newer references. Perplexity tends to prioritize newer content heavily, while ChatGPT and Claude care less about recency but keeping already-cited pages up to date still helps across all of them.
How do you indentify which pages to refresh? Target the pages that need refreshing by looking at what AI tools consistently surface for your category and which pages already earn steady traffic or citations. Those are your authority pages. Update them first with fresh data and current examples, without changing the URL or core structure. In most cases, improving an existing high-authority page is more effective than creating a new one.
15. Add Organization, Person, and FAQ schema to your key pages.
Schema isn’t a competitive advantage, it’s just the baseline. If it’s wrong, AI systems won’t understand what you are or who your experts are. If it’s right, it simply stops being a problem.
Most schema implementations are incomplete or inconsistent, which can weaken how AI and search systems understand your site. Focus on keeping your core entities clearly defined and aligned across key pages, and make sure the information you publish is accurate and up to date.
16. Make sure GPTBot, ClaudeBot, and PerplexityBot can crawl your site.
Cloudflare reported ChatGPT-User crawler traffic grew ~2,825% year over year in 2025. If your site blocks AI crawlers by default (many CDNs and security platforms now do), you're invisible to real-time AI retrieval no matter how strong your traditional SEO is.
Check your server logs occasionally to confirm that key AI and search crawlers are able to access your site. If they aren’t showing up, something is likely blocking them.
This is often caused by default CDN settings, outdated robots.txt rules, or overly strict bot filtering. A simple periodic check is usually enough, since crawler behaviour and names do change over time.
Ranked by signal weight, the first six tactics on this list will move the needle further than the last six. Most companies invest in the opposite order, pouring resources into schema and on-page content while neglecting the earned and consensus work the research consistently identifies as more important.
Fixing that ratio is the single highest-leverage decision available to most brands right now. The full framework, the maturity model, and the evidence base behind every tactic above lives in our AI Visibility white paper. Contact us to identify which layer is holding you back and exactly where to start fixing it for the biggest impact.
