
Companies with hundreds of pages assume volume helps. In AI search it often does not. Engines look for a clear, trustworthy answer to a specific question, and one tight page beats fifty vague ones.
Size can even work against you. A sprawling site with overlapping pages sends mixed signals about what you actually offer, and engines tend to skip sources that contradict themselves.
A surprising amount of good material is unreadable to AI. Case studies sit in PDFs. Pricing lives behind a form. Product details load through scripts that crawlers never run. Webinar knowledge is trapped in video with no transcript.
If a person needs a login, a download, or a click-to-expand to see it, assume an AI crawler cannot see it either. Move the key facts into plain text on a public page.
Old content does not just sit there. Engines pull from it. A page with last year's pricing, a retired service, or a closed office can end up quoted back to buyers as fact.
Walk through your oldest pages and ask one question: would I be happy if an AI repeated this word for word? If not, update it or take it down.
Before you publish anything, list your pages and sort them into three piles. Strong pages that answer a real question. Fixable pages that have the right topic but bury the answer. Dead weight that is outdated or duplicated.
Then run your most important buyer questions through ChatGPT, Gemini, and Perplexity and note which of your pages, if any, get cited. That tells you where to start.
Put the direct answer in the first two sentences under a heading that matches the question. Add the specific number, price range, timeframe, or service area people actually ask about. Cut the warm-up paragraph.
Add a short FAQ block at the bottom with real questions in plain wording. These are the easiest pieces for an engine to lift into an answer.
Merge pages that cover the same topic into one stronger page and redirect the old ones. Make sure your llms.txt and robots.txt let AI crawlers reach the pages you want cited and point them to the best ones.
Keep names, addresses, services, and descriptions identical everywhere they appear. Consistency across your site and third-party listings is what lets engines trust the answer.
A refreshed page with a current date and new specifics often earns citations faster than a brand new one, because it already has links and history behind it.
Set a rhythm. Review your top ten pages every quarter, and add new pages only for questions you have no good page for.
OMG scores your visibility per model instead of blending engines into one inflated number, so you can see which engine is skipping your content. Starter is $99 a month, Pro is $249, Done For You is $599, and Enterprise is $2,499. A Do It For Me add-on is $399 a month on top of any plan.
Done For You publishes llms.txt and robots.txt updates and queues blog and FAQ drafts for your approval. Agencies get white-label support across multiple clients. Profound, Otterly, and Semrush's AI tools are alternatives if you mainly want reporting.
The free one-off audit at optimizemygeo.com shows which of your pages AI can actually find.
Usually because it cannot read it or cannot tell what it answers. Content in PDFs, behind forms, or loaded by scripts is often invisible, and pages that bury the answer in long intros are easy to skip.
Fix first. Updating a page that already has links and history usually works faster than publishing something new. Write new pages only for questions you have no good page for.
Yes. Engines can quote old pricing, retired services, or wrong details back to buyers. Update or remove pages you would not want repeated word for word.
Ask your top buyer questions in ChatGPT, Gemini, and Perplexity and note which sources appear. A tracking tool automates this and scores each engine separately.
No. Start with your ten most important pages. Lead with the direct answer, add specifics, add a short FAQ, and merge duplicates.
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