{"id":20810,"date":"2026-01-22T07:00:00","date_gmt":"2026-01-22T12:00:00","guid":{"rendered":"https:\/\/ipullrank.com\/?p=20810"},"modified":"2026-01-22T09:26:45","modified_gmt":"2026-01-22T14:26:45","slug":"page-title-tips","status":"publish","type":"post","link":"https:\/\/ipullrank.com\/page-title-tips","title":{"rendered":"1 Important Lesson Omar Little Taught Me About Writing Page Titles"},"content":{"rendered":"\t\t
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I got my start in content by editing articles for a site that lived and died by clicks. We didn\u2019t use the word \u201cclickbait\u201d (not out loud), but that\u2019s exactly what it was. I\u2019m not proud of headlines like \u201c<\/span>3 Frustrating Toyota Tacoma Problems That Send Drivers Into a Rage<\/span><\/i>\u201d or <\/span>\u201cAaron Rodgers Sends Packers Fan a Clear Message With Latest Podcast Appearance<\/span><\/i>\u201d, but hey, I had to pay the bills.\u00a0<\/span><\/p>

And in the wise words of <\/span>Omar Little<\/span><\/a> from the TV show The Wire:\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Omar\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Clicks equaled money, and making people feel something was how you got them to click. That was the incentive. That was the game.<\/span><\/p>

These days, we\u2019re seeing a new game forming. The incentive structure is shifting.\u00a0<\/span><\/p>

For many types of content, visibility now come<\/span>s from being useful to something that isn\u2019t human at all; not a reader, but an amalgamation of three different LLMs and a swarm of search, retrieval, grounding systems, summarizers, re-rankers, and answer engines I just (incorrectly) lump under the catch-all: \u201cAI.\u201d<\/span><\/p>

It doesn\u2019t feel outrage. It doesn\u2019t get curious. It just scans, slices, and decides in a fraction of a second whether your page contains an answer. And what it sees first, namely your <\/span>title, url slug, and a short text snippet<\/b>, is the first and most decisive signal it has to go on. If those don\u2019t scream relevance, you probably don\u2019t get cited.<\/span><\/p>

This means the headline\u2019s job isn\u2019t to tease; it\u2019s to plainly declare what you know and who you\u2019re useful to. It\u2019s not clickbait; it\u2019s <\/span>AI bait<\/b>. And once again, the game is rewarding those who know how to write to the system.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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How an AI \"Sees\" Your Page: The Snippet-First World\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Contrary to what many assume, an AI doesn’t “see” your webpage in its entirety. It doesn’t load the full HTML, parse the layout, or admire your design. Instead, As Dan Petrovic explains in<\/span> How GPT Sees the Web<\/span><\/i><\/a>, its first interaction is with a small, ruthlessly efficient packet of data: the page title, the URL, and a short text snippet.\u00a0<\/span><\/p>

When an LLM is grounding an answer via search, this is the initial context it\u2019s given to decide whether your page is worth retrieving at all.<\/span><\/p>

This is the core idea behind what we at iPullRank call <\/span>Relevance Engineering<\/span><\/a>: intentionally shaping content so its meaning is legible at the exact moment a system is deciding whether your page is useful. Before design, before UX, before persuasion \u2014 relevance has to be established.<\/span><\/p>

Think of it as a high-stakes, single-chance audition. If that preview doesn’t scream “I have the answer!” for the user’s query, the AI will logically and instantly move on to a source with a stronger, more relevant signal.\u00a0<\/span><\/p>

It is an automated process of elimination designed for maximum efficiency. The AI\u2019s decision to \u201cclick\u201d and investigate your page further is won or lost in this initial glance, making the quality of that preview paramount.<\/span><\/p>

Not to mention, even when a page is retrieved, the model still isn\u2019t consuming it all at once. It\u2019s evaluating the content in constrained windows, pulling only the portions most likely to resolve the question at hand.<\/span><\/p>

Tools like <\/span>Relevance Doctor<\/span><\/a> exist to diagnose this exact moment: what signal your page sends in that first interaction, and whether it\u2019s strong enough to survive the cut.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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From Human Clickbait to \"AI Clickbait\"\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Over the years as the web evolved, headlines changed as well.\u00a0<\/span><\/p>

You can think of headline evolution like this:<\/span><\/p>