--- title: >- Your AEO Action Plan: On-Page and Off-Page Tactics That Actually Move AI Visibility description: >- Audit findings are only valuable if they lead to action. Here's the routing logic for deciding whether you have a comprehension problem or a trust problem — and what to do in each case. authors: - Weizhi Li date: '2026-08-26T00:00:00Z' featured: false readTime: 12 min read tags: - AEO - Content Strategy - AI Search - AI Visibility - Off-Page SEO thumbnail: >- https://cdn.sanity.io/images/5zjpfzrg/production/199eda19bc30d9e6c2c4942bb9fa4f0db8a6265f-1536x1024.png --- An AEO audit gives you a map. But a map without a route is just a picture. The mistake most teams make after running an audit isn't laziness — it's reflexive action. They see a weak result and immediately start drafting content. More pages, more FAQs, more mentions. The problem is that adding content to the wrong problem doesn't fix anything. It just creates noise. Before you write a single word, you need routing logic. You need to know *why* a topic is underperforming before you decide *how* to fix it. ## Start With Routing, Not Content Every weak result in your audit has a root cause. And there are really only two root causes worth caring about: AI systems don't understand what you do, or AI systems don't trust what they've heard about you. These require completely different interventions. Conflating them is how teams spend three months producing content that moves nothing. The routing question is simple: **Is this a comprehension problem or a trust problem?** Comprehension problems live on your website. Trust problems live off it. Fix the right one. ## The Diagnostic: Comprehension vs. Trust Your audit should surface two signals for every topic or attribute you're tracking: discovery rate and validation rate. - **Discovery rate** measures how often AI systems surface your brand when a relevant prompt is asked. - **Validation rate** measures how often, when your brand is mentioned, the surrounding context is accurate and favorable. Plot those two signals against each other and you get a decision tree: **Low discovery + low validation → Comprehension problem** AI systems aren't finding you, and when they do, they're getting it wrong. This is an on-page problem. Your site isn't giving AI enough clear, extractable signal about this attribute. The fix is content — but targeted content, not volume. **Low discovery + strong validation → Trust problem** AI systems know roughly what you do, but they're not citing you. The information exists somewhere, but it's not coming from sources AI treats as authoritative. This is an off-page problem. The fix is distribution and third-party credibility, not more pages on your own site. **Strong discovery + strong validation → Strength** This is working. Don't ignore it — amplify it. These are the attributes worth doubling down on in your positioning and outreach. **Strong discovery + low validation → Objection** AI is talking about you, but saying the wrong things. This is the most complex case. It requires both on-page reframing and off-page correction. You can't just publish a rebuttal page and hope AI picks it up — you need the corrected narrative to appear in sources AI already trusts. ### A Note on the FactCheck Caveat Validation scores can be misleading. A strong validation score tells you that AI descriptions are *consistent* — not that they're *correct*. It's entirely possible for AI systems to confidently repeat an outdated or inaccurate description of your product across dozens of sources. Before you treat a strong validation score as a green light, audit the actual content. Read what AI is saying about you. If the descriptions are wrong — even if they're consistently wrong — you have a source problem. Identify which publications, directories, or review platforms are producing the inaccurate framing and address those specifically. Correcting the source is the only reliable way to correct the output. ## Routing Your Audit Outputs Once you've run the diagnostic, your audit results fall into three buckets: - **Opportunities** (low discovery + low validation): On-page work. Create or improve content so AI can extract a clear claim. - **Objections** (strong discovery + low validation): Both on-page and off-page work. Reframe on your site, then get that reframe reflected in third-party sources. - **Strengths** (strong discovery + strong validation): Amplification. Identify what's driving the strong signal and do more of it. Each bucket has a different playbook. The rest of this post walks through the two you'll spend the most time in. ## On-Page Execution On-page work is about making your site legible to AI extraction. AI systems don't read pages the way humans do — they're looking for clear, attributable claims they can lift and cite. If your content buries the point, hedges the claim, or spreads the idea across five different pages without a clear anchor, AI will either skip it or get it wrong. ### Do You Have a Page on This Topic? Start with the most basic question: does a page exist that directly addresses this attribute or topic? If the answer is no, create one. Not a blog post that mentions it in passing — a page that makes the claim directly, supports it with specifics, and gives AI something concrete to extract. If the answer is yes, review it through an extraction lens. Ask yourself: can an AI system lift a direct, accurate claim from this page without needing to infer or synthesize? If the answer requires reading three paragraphs and connecting dots, the page isn't doing its job. Tighten the claim. Put it in the first paragraph. Make it impossible to miss. ### Where Else on the Site Can You Reinforce This? A single page isn't enough. AI systems build confidence through repetition across sources — and your own site counts as multiple sources if you have enough pages with meaningful traffic and crawl frequency. Identify which pages on your site AI already reads and trusts. Look at citation volume in your audit data and cross-reference with crawl frequency. These are your high-leverage pages. Adding a natural mention of the target attribute on a page AI already cites is worth more than publishing a new page AI hasn't discovered yet. Prioritize reinforcement on: - Product or feature pages that AI frequently cites - Comparison or alternative pages (AI loves these for structured claims) - Case study or customer story pages with specific, attributable outcomes - Your homepage and about page, which AI treats as authoritative by default ### How to Add Mentions Without Making It Mechanical There are two ways to add mentions: FAQs and in-content weaving. Both work, but they have different ceilings. FAQs are fast and structured. AI systems extract FAQ content reliably because the format is clean and the claim is explicit. But FAQ sections feel bolted-on when overused, and they have a ceiling — you can only add so many before the page becomes a list of questions nobody asked. Weaving mentions into existing content performs better over time. When a claim appears naturally in a paragraph that's already doing work — explaining a concept, walking through a use case, describing an outcome — it reads as authoritative rather than optimized. AI systems are increasingly good at detecting thin or mechanical content, and naturally integrated claims hold up better as models improve. The practical approach: use FAQs to establish the claim quickly, then work to integrate the same claim into the body of your most important pages over the following weeks. ### Handling Objections On-Page If AI is surfacing a negative or inaccurate attribute about your product, don't deny it — reframe it. Denial reads as defensive and rarely gets picked up by AI systems as a correction. Reframing gives AI something affirmative to cite instead. The goal is to replace the negative claim with a positive one that addresses the same underlying concern. For example: if AI is describing your product as having a steep learning curve, don't publish a page that says "we don't have a steep learning curve." Publish content that shows, specifically, how quickly new users reach their first meaningful outcome. "Teams are running their first automated workflow within 48 hours of onboarding" is a claim AI can extract and cite. "We're actually easy to use" is not. Specificity is the mechanism. Vague reassurances don't move AI outputs. Concrete, attributable claims do. ## Off-Page Execution Off-page work is about shaping what the broader web says about you. AI systems don't just read your site — they read everything. And for most topics, third-party sources carry more weight than first-party claims. If the sources AI trusts are saying the wrong things, or not mentioning you at all, no amount of on-page work will fully compensate. ### Build Your Battlecard First Before you reach out to a single publication or partner, get your positioning locked down. A battlecard is a one-page internal document that defines: - **Ideal positioning**: How you want AI to describe you in one or two sentences - **Attributes to promote**: The three to five claims you want AI to surface when your brand is mentioned - **Objections to reframe**: The specific inaccuracies or negative framings you're working to correct This document becomes the brief for every off-page conversation. When you're asking a partner to update their integration page, or briefing a journalist, or submitting a guest post, the battlecard keeps your messaging consistent. Consistency across sources is what builds AI confidence. ### Audit Your Existing Mentions Before you go looking for new sources, fix what you already have. Existing mentions are your highest-leverage off-page asset because the relationship is already established — you just need to update the content. For each existing mention, ask: - Does it reflect your current positioning, or is it describing a version of your product from two years ago? - Does it mention the attributes you're trying to promote? - Does it contain any of the inaccuracies you're trying to correct? Prioritize updates based on the authority of the source and how frequently AI cites it. A single update to a high-authority directory listing can move your validation score more than ten new mentions on low-authority sites. For existing mentions, work through your relationships in this order: - **Integration partners**: They have a business reason to describe your product accurately and are usually willing to update their pages - **Affiliates**: They're incentivized to keep their content current and converting - **Investors**: Portfolio pages and firm blogs often have outdated descriptions — a quick email usually fixes this - **Analyst firms**: Harder to move, but worth the effort; analyst coverage carries significant AI weight ### Get Added Where You're Absent Once existing mentions are cleaned up, identify the sources where you should appear but don't. These are the gaps in your off-page footprint. Focus on source types AI treats as high-authority for your category: - **Listicles and roundups**: "Best \[category\] tools" posts are heavily cited by AI for comparison queries. If you're not on the relevant ones, you're invisible for those prompts. - **Directories**: Category-specific directories (G2, Capterra, and niche equivalents) are AI staples. Claim and optimize your listings. - **Integration partner pages**: If you integrate with a platform, their documentation or partner directory should mention you. Most don't without prompting. - **Review platforms**: Aggregate review scores and summaries are frequently extracted by AI. Volume and recency matter. Outreach for these placements is straightforward: identify the gap, find the right contact, and make the ask with your battlecard framing ready. ### Create New Sources When existing sources can't be updated and gaps can't be filled through outreach, you create new sources. This is the slowest off-page lever, but it's also the most durable. Effective source creation strategies, in rough priority order: - **Original research**: Data you own is uniquely citable. A survey, benchmark report, or dataset gives other publications a reason to reference you — and gives AI a primary source to extract from. - **Guest posts**: Publishing on established industry sites puts your positioning in front of AI systems that already trust those domains. Pitch angles that let you make your target claims naturally within useful content. - **Cross-publishing platforms**: Medium, Substack, LinkedIn articles, and similar platforms are indexed and cited by AI. Republishing or adapting your best content here extends your footprint without significant additional effort. - **Community participation**: Substantive contributions to industry forums, Slack communities, and Q&A platforms (Reddit, Quora, Stack Overflow equivalents) are increasingly indexed and cited. Answers that make your target claims in the context of genuinely helpful responses perform well. ## Checking Your Work Off-page and on-page changes don't show up in AI outputs immediately. Models update on different schedules, and the lag between a source being published and an AI system incorporating it can range from days to weeks. Build a simple tracking cadence: - **Re-run your core prompts** two to four weeks after making changes. Use the same prompts from your original audit so you're comparing apples to apples. - **Track visibility movement**: Is your brand appearing in more responses? Fewer? For which topics? - **Track citation changes**: Are new sources appearing? Are old inaccurate sources still being cited? - **Track sentiment shifts**: Is the framing improving? Are objections appearing less frequently? - **Track accuracy shifts**: Are the specific inaccuracies you targeted still showing up, or have they been replaced by your corrected framing? If a change isn't moving the needle after four to six weeks, revisit your routing. Either the diagnosis was wrong, or the intervention wasn't strong enough. Both are fixable — but only if you're measuring. The teams that win at AEO aren't the ones who produce the most content. They're the ones who diagnose accurately, intervene precisely, and measure consistently. Routing logic is what separates those teams from everyone else.