What Do I Need to Do to Get Recommended by AI Assistants?
Getting recommended by AI isn’t, despite appearances, a matter of hidden technical tricks. Assistants don’t produce sourceless answers; being inside the answer starts with writing the answer. ✍️
Short answer: be a source. Pages that answer questions clearly, open pricing and process information, verifiable data, and consistent information everywhere. Together they convince human and machine alike.
Below: the anatomy of a quotable page, which information actually matters, the technical layer, and a ninety-day plan. 🔧
How is a quotable page written?
Getting recommended by AI starts with the page’s format.
Do lists and tables help?
They do, because they’re fragmentable information. Step lists, comparison tables and FAQ sections are formats that make quoting easy.
Which information makes the difference?
Format matters, and so does substance.
What should be done off-site?
Your own page is the primary source but not the only one.
What’s needed in the technical layer?
The invisible but decisive side.
Markup and readability
Tagging service, price, address and FAQs in a machine-readable form; pages loading fast; content not buried inside images. If information sits in an image, it doesn’t exist as text — unreadable information is absent information. 🏷️
What happens in ninety days?
Without a plan this work scatters.
The three-month implementation plan
Month 1: build the question inventory (20 questions customers ask), take the baseline measurement, equalise business details across all records. Month 2: publish answer pages for the 8-10 most-asked questions; open price and process information. Month 3: complete technical markup, strengthen third-party records, take the first comparison measurement. By the end of month three first mentions start appearing; timing sits in the results article, all questions in the 18-questions hub. 🗓️
📝 Field Notes
With clients we persuaded to publish their pricing, two things happened at once: meetings got shorter and they started being mentioned in assistant answers. Same reason — a page with an answer reassures both the customer and the machine. Hidden information is unquotable information. 💰
📖 Quick Glossary
Quotability: a text being suitable for fragment use in answers. Question inventory: the list of what customers really ask. Verifiable data: concrete, checkable information. Markup: machine-readable tagging of information.
⚡ Quick Summary
Be a source: clear answer, open information, proof, consistency. ✍️ Heading repeats the question, answer sits in the first paragraph. Hiding price hides your visibility. Information inside an image isn’t read.
🎯 Next Step
Let’s build your question inventory and plan the first answer pages: the quote page. Our approach sits on the AI SEO & GEO page. 🗓️
Frequently Asked Questions
Sık Sorulan Sorular
Because the assistant takes a fragment. The heading should repeat the question, the answer should be clear in the first paragraph, and depth should follow. A text that warms up over three paragraphs is boring for humans and invisible to machines. 📄
Long enough to do the question justice. Length isn’t value in itself; each subheading carrying its own answer is. Answering one question fully beats skimming ten on a single page. ✂️
Because those are what assistants get asked most: “how much”, “how long”, “what’s included”. A brand hiding them withholds the raw material of the answer. Publishing your price openly is a visibility strategy as much as a sales one. 💰
How long you’ve operated, which cities you serve, how many projects you’ve completed, what scope you work in. Concrete and consistent statements. Unevidenced claims like “the sector leader” convince neither humans nor machines. 📐
By completing directory and profile records with the same information everywhere, contributing genuinely to trade publications, and replying to customer reviews. The map of layers sits in the sources article. 🌐
Because conflicting information is a distrust signal. If your address appears three ways in three places, even a machine can’t tell which is right and hesitates to promote the brand. The correction method sits in the wrong-information article. 🔗
Your competitor can learn your price anyway; the real loss is the customer who never writes because they can’t gauge the budget. You don’t have to give exact figures — a band and scope suffice. Openness grows both sales and visibility.
For drafts yes, unsupervised no. Invented information burns both the customer and your reputation, and creates inconsistency. The right use: the machine speeds you up, you verify and add your own experience. The difference isn’t in the production but the signature.
Eight to ten is enough to start, provided they answer real customer questions. Ten deep pages bring more mentions than a hundred shallow ones. It’s the reality of the question, not the count, that decides.
Source: Google — FAQ structured data