What is the best way to optimize content for generative AI search engines? Our process
Our process for optimizing content for generative AI search engines: prompts first, citation gaps, crawler access, page rewrites, and honest measurement of what changed.
Clients often want a checklist. "Tell us what to put on the page so ChatGPT cites us." We understand the appeal, but the best way to optimize content for generative AI search engines is a process, not a checklist, and it starts before anyone writes a word.
Here is the process we run.
Start with the questions
Search engines historically ranked pages for keywords. Generative engines answer questions, and they often break one question into several searches, known as query fan-outs. If a model checks pricing, reviews and alternatives while answering "best tool for X," your page needs to hold up on those sub-questions too.
So we begin with a prompt panel: category, comparison and brand questions, tagged by topic and persona. We use Promptwatch for this, which is the platform our client programs run on. Prompt Explorer suggests prompts from Search Console, ranking keywords, People Also Ask or an existing page, and Prompt Volumes gives search volumes, difficulty scores and citation rates, so we can order the list by value.
Look at who is winning
For each prompt we open the answers and look at the cited sources. We are looking for patterns:
- Which domains show up again and again?
- Which content types win: guides, comparison tables, documentation, forum threads?
- Is your own site cited, and if so, which pages?
Citation analytics gives us this at page and domain level, and Citation Trends classifies citations by content type and source type. This stage often changes the plan. A client who thought they needed more blog posts discovers that the winning pages are comparison pages hosted elsewhere.
Rule out access problems first
Writing better content on a page that bots cannot fetch is wasted effort. We check crawler activity using Agent Analytics, which shows IP-verified logs, so spoofed user agents do not pollute the picture. The bots we care about include GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot and Google's agents. We look for errors on key pages, blocked paths, and pages that are fetched but never cited. Crawler logs begin on the Professional plan.
The crawl-to-citation path, with a citation rate per page, is what makes this useful. A page that is crawled heavily and never cited has a content problem. A page never crawled has an access problem. The fixes differ.
Rewrite for the question
Our writing rules are plain:
- Answer in the first paragraph, then expand.
- Cover the follow-up questions the buyer would ask next.
- Use headings that match real questions, and keep one page to one intent.
- Put facts next to their source and date.
- Remove claims we cannot support. Models and readers both discount them.
We do not rely on markup tricks. Structured data helps machines read a page, but it does not rescue thin content. Google and Bing both publish guidance for their AI features, and we read those documents rather than rely on folklore.
For existing pages, Content Refresh gives diff-style suggestions, which keeps edits targeted. Content gap analysis shows coverage scores against prompts, so we know what is missing before we draft. Publishing to WordPress, Webflow or Framer is supported. On Business and Enterprise, the Content Agent can plan and publish against gaps on a schedule. We usually keep a review inbox in place, because the client's subject experts need to approve claims.
Look beyond your own site
Many citations point to Reddit, YouTube, LinkedIn, review sites and trade publications. Promptwatch has dedicated citation reports for Reddit, YouTube and LinkedIn, and offsite mention tracking for places where the brand is named without a link. This is slow, human work: contributing useful answers, correcting facts, earning coverage.
Measure like skeptics
We compare periods, not days. Visibility Score, Share of Voice and Position in Answer show movement, and visitor analytics shows AI-referred visits and conversions. We report what moved, what did not, and what we think the cause was. The Action Board holds the next round of tasks.
What we do not promise
We do not promise citations. We cannot see inside a model, and answers vary between runs. What we can promise is that the content will be clearer, better sourced and technically reachable, and that the client will see the evidence rather than a story.
A free Explore plan exists if you want to test the first steps yourself: 10 prompts, ChatGPT only. Paid plans start at $95/mo, with crawler logs from $245/mo.