Not long ago, an SEO specialist’s job sounded simple: get the page to the top of the search results. Now that job has a second half. More and more people get their answers directly in ChatGPT, Perplexity, Gemini or Google’s AI Overviews, and they don’t always reach the list of links. For a business, this means a page must not only rank but also make sense to the model that assembles the answer and chooses its sources.
You don’t need to rebuild your whole approach. The fundamentals of SEO still work, but a new layer of checks now sits on top of them. Below is a practical five-step plan.
How AI search differs from classic results
A search engine shows a list of pages and leaves the choice to the user. A language model works differently: it finds several sources, extracts facts from them and writes a single answer. These answers usually contain only a few links, so competition for a mention is high.
That leads to three practical requirements:
- Accessibility. If a crawler can’t retrieve your text, even a strong article won’t be considered.
- Extractability. A fact, definition or conclusion should make sense when lifted out of the surrounding article.
- Trust. Models tend to rely on sources that are visible in search and mentioned on other sites.
Step 1. Check what AI systems actually see
Start with diagnosis, not rewriting. Many AI crawlers don’t execute JavaScript, or do so only to a limited extent. Open the page source and look for your main text. If it appears only after scripts load, some bots won’t see it. Server-side rendering or static generation usually solves the problem.
Next, open robots.txt and check the rules for GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot. A block is sometimes inherited from an old template or CDN setting, and nobody remembers it exists.
Doing this by hand takes time, especially across many pages. You can get a quick first read with the AI Seo Audit from WowLink. It grades on-page SEO and speed, and it also checks content in the raw HTML, structured data, llms.txt and AI crawler access. You get more than a score: the report includes a list of fixes ordered by impact. Auditing a single page is free, though you need to sign in.
Step 2. Fix the technical foundation
A page that doesn’t load can’t be cited, so classic site hygiene still matters. Start by checking:
- unique title tags and a logical H1–H3 hierarchy;
- correct canonical URLs and no accidental noindex tags;
- an up-to-date sitemap and internal links to important pages;
- Core Web Vitals, especially on mobile.
Also check how your site responds to bots. DDoS protection and firewalls sometimes return a 403 error or a CAPTCHA page to crawlers, even though everything looks fine in a browser. Server logs quickly show which bots visit, which URLs they request and what response they get.
Step 3. Make your content easy to cite
Models find it easier to use text where the answer sits next to the question. A few simple techniques noticeably improve a page’s structure:
- Lead with the answer. The first one or two sentences of a section should give the point, with details to follow.
- Write headings in your audience’s words. “How much does a CRM rollout cost?” works better than “Financial considerations.”
- Be specific. Numbers, timelines, names and conditions are easier to quote than general promises.
- Be transparent. Show the author, the last updated date and your data sources.
Add Schema.org markup such as Article, Product, Organization or FAQPage, depending on the page type. The markup must match the visible content, or it won’t help.
Step 4. Build your site’s authority
Even a flawlessly structured page loses out if nobody talks about the brand. Links and mentions on relevant sites help both in regular search and in the competition for a place in AI answers.
When you evaluate a site, look beyond Domain Rating. Check whether its organic traffic is growing, whether its topic matches yours and whether it publishes anything besides commercial posts. One relevant article on a living site is usually worth more than ten links from sites with no audience.
The most time-consuming part is finding sites, handling correspondence and tracking placements. You can hand this work to a service. On the wow link marketplace, for example, you can filter the catalog by DR, organic traffic, niche, country and price, while the platform’s team handles outreach and placement. Order status and final URLs appear in your dashboard, so the results are easy to verify.
Step 5. Measure the results
Tracking visibility in AI answers is harder than tracking search rankings, because answers vary with the wording of a query and change over time. Still, you can set up a basic system without complex tools:
- List 20–30 queries that matter to your business.
- Check them monthly in ChatGPT, Perplexity and Gemini.
- Record whether your brand is mentioned, which page is cited and who gets cited instead of you.
- Create an analytics segment for referrals from chatgpt.com, perplexity.ai and gemini.google.com.
- After major changes, re-audit the page and compare the results with your baseline.
Watch the trend rather than any single answer. One check says little, but several months of data show which actions are working.
Common mistakes
- Blocking AI bots “just in case” without weighing the traffic and mentions they could bring.
- Rewriting content for models and forgetting the reader. Filler is filler in any format.
- Chasing link volume instead of site quality.
- Treating this as a one-off project, when your site, your competitors and AI systems keep changing.
The bottom line
Preparing for AI search doesn’t replace SEO; it raises the bar. First make sure a page is accessible, then make it clear, then back it with authority. Start with one key page: audit it, make the most important fixes and review the changes after a month. Then roll the process out across the site.
