Someone types "best espresso machine under 500 dollars" into Perplexity.
The tool does not return a list of retailers. It scans dozens of product pages and reviews, pulls the specific claims it can verify, and writes a short recommendation naming two or three machines.
Every tactic below exists to answer one question: what makes a page one of the two or three that gets named instead of skipped.
Tactic one: put the claim in the first sentence
A product page that opens with "This machine delivers exceptional espresso quality" buries its actual value behind a phrase a model cannot check.
The same page opening with "This machine reaches brewing temperature in under 15 seconds" gives a model something specific enough to lift on its own.
The fix is almost always structural, not creative. Move the most specific, checkable sentence in a section to the very top of that section.
Tactic two: attach a number to every claim that can
carry one
Vague adjectives get skipped by a model scanning for something to quote. "Fast heating," "great value," and "trusted by thousands" all sound fine to a person and mean nothing to a system deciding what to repeat.
Replace each one with the actual number behind it, even when that number is unglamorous. A page that says "used by 4,200 home baristas since 2022" earns a citation far more often than a page that says "trusted by thousands."
Tactic three: build the comparison page people are actually searching for
Many AI search queries are phrased as comparisons or buying questions, not broad informational searches.
Instead of asking for a product, users search for things like:
- "Best X under $100."
- "X vs. Y for beginners."
- "Which tool is better for small businesses?"
Pages built around these exact questions are far more likely to be cited than generic product or category pages covering the same information.
One reason is that AI models naturally present answers as comparisons, rankings, or recommendations. A page that already follows that structure—especially one with a clear comparison table—requires very little transformation before its information can be incorporated into an AI-generated response.
Tactic four: make every factual claim consistent across the web
Consistency is a ranking signal for AI models in a way many brands underestimate.
Imagine a product page claims a device reaches operating temperature in 15 seconds, while a retailer lists 20 seconds and a two-year-old press release still says 25 seconds.
A search engine might simply rank the newest page.
An AI model, however, sees three conflicting facts. Rather than guessing which one is correct, it may ignore the claim altogether.
That makes consistency a practical AI SEO task.
It means identifying every location where an important fact appears—whether it's a specification, price, performance metric, or release date—and ensuring the information matches across:
- Your website.
- Retailer listings.
- Press releases.
- Review sites.
- Partner pages.
- Any other source the model may use to verify the claim.
The easier it is for an AI model to confirm a fact across multiple sources, the more likely it is to cite that fact confidently.
Tactic five: keep the page current
AI search tools increasingly pull from live content instead of relying only on older training data. A product page last updated two years ago competes directly against a page updated last month, even when the older page still ranks fine on Google.
A quarterly pass to refresh numbers, confirm claims are still accurate, and update the publish date keeps a page in the pool a model is actually willing to pull from.
Where to start if you cannot fix everything at once
Most teams cannot rewrite an entire catalog of pages in one push. The highest value place to start is the handful of pages that already get solid traffic but never show up when the same question gets typed into an AI tool. That gap is the clearest sign of wasted effort, since the page is already good enough to attract a search, just not written in a way a model will quote.
Fix your AI search optimization with Ande Media
Ande Media rebuilds content around these five tactics, then tracks whether they actually move citation share inside the tools that matter for a given account.
- Rewrite priority pages so the checkable claim opens each section
- Replace vague adjectives with the specific number behind each one
- Build comparison and definition pages matched to real customer questions
- Fix number mismatches between the site and outside mentions
- Track citation appearances across ChatGPT, Perplexity, and Bing Copilot monthly
Get your AI search optimization plan from Ande Media. Find out which of your pages are structurally invisible to AI search tools right now.
Frequently asked questions
Attaching a specific number to vague claims. It takes minutes per page and consistently produces the clearest jump in citation odds.
Mostly, but each tool weighs recency and source variety slightly differently, so tracking citations separately by engine matters.
Not by itself. A shorter page with one specific, checkable claim per section usually outperforms a longer page full of general statements.
A quarterly refresh of numbers and claims is usually enough to keep a page competitive against more recently updated pages.
