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Not all content is equally citable. Two articles covering the same topic, with the same facts, can perform very differently in AI engine citations depending on how they’re structured. After auditing hundreds of pages for citation performance, clear patterns emerge: some formats get extracted and cited constantly, others get passed over no matter how good …
Of all the AEO investments a B2B site can make, author markup and E-E-A-T signals produce some of the highest citation lift per hour of effort. AI engines have learned to penalize anonymous content because it correlates with AI-generated spam, so a properly attributed expert voice is now a strong differentiator. This article explains what …
If your B2B competitors are being cited in ChatGPT, Perplexity, and Claude answers while your business is invisible, the cause is almost always one of six specific problems — each of them fixable. This article walks through the diagnostic logic and the corresponding fixes, in the order you should address them. The six most common …
The marketing-acronym pile has grown crowded as AI engines have changed what “being found” means. AEO, SEO, GEO, and SXO are now used interchangeably by some, distinguished sharply by others. This article defines each precisely and explains how they relate — so B2B teams can decide which disciplines to invest in and how they fit …
Traditional SEO measurement is mature — rankings, organic traffic, click-through rate, conversions. AEO measurement is younger and messier. There is no equivalent of Google Search Console for ChatGPT, Perplexity, or Claude (yet). But the discipline of measuring AI engine citations is critical for any AEO program, and a workable methodology exists in 2026. What to …
One of the first questions B2B leaders ask when considering AI Engine Optimization: how long until we see results? The answer depends on what “results” means, but AEO produces measurable signal faster than SEO traditionally has — usually within 30 to 60 days for first citations, and 90 to 180 days for material citation share …
JSON-LD schema is the most concrete, immediately deployable AEO tactic available to B2B websites. By marking up your content with schema.org vocabulary, you give AI engines explicit, machine-readable facts they can cite with confidence. Not all schema types matter equally for AEO. This article explains which types to prioritize and how to deploy them. What …
A file called llms.txt started appearing on websites in late 2024, proposed as a standard for telling AI engines how to read and understand your content. Two years later, llms.txt has become one of the most asked-about AEO topics — and one of the most misunderstood. This article explains what llms.txt is, what it does, …
When ChatGPT, Perplexity, or Claude answers a buyer’s question with a citation to a specific business, the choice isn’t random. Each engine weighs a combination of signals — some shared, some unique — to decide which sources are reliable enough to cite. Understanding those signals is the foundation of any AI Engine Optimization program. The …
For two decades, B2B buyers researched vendors through Google. They typed a query, scanned blue links, clicked through to websites, and made decisions. That model is changing fast. By 2026, a meaningful share of B2B buyers begin research not in Google but inside AI engines – ChatGPT, Perplexity, Claude, and Google’s own AI Overviews – …