Whitepaper · 2026
boostN.ai Agency

GEO. Visible in AI search.

Your customers no longer just ask Google. They ask ChatGPT, Perplexity, Gemini. If you don't show up there, you're invisible in the answer era — no matter how strong your classic SEO is.

Format PDF · 5 min read
Topic Generative Engine Optimization
Price Free
As of May 2026
01 · What you get

Inside the whitepaper

  • How LLMs (ChatGPT, Perplexity, Gemini) generate answers today — and why classic SEO isn't enough
  • The five essentials that get you cited in AI answers
  • Which AI crawlers to let in and what robots.txt rules support that
  • What a "grounding page" is and why it becomes the anchor of your digital identity
  • sameAs and Wikidata: how to make your entity unambiguous for machines
  • Honest take on llms.txt — what it does, what it doesn't
02 · Who it's for

Who should read this

Marketing leads planning visibility beyond Google
SEO managers extending their strategy to AI answer systems
Founders who want to know where their brand will be found tomorrow
03 · Tone per page type

How do you actually write for AI?

A short preview from the whitepaper: LLMs read all your pages — but they weight them differently. Grounding pages get cited as evidence, FAQs are lifted as direct answers, landing pages serve as context. Write each page type with that in mind.

Fact anchor for machines

Grounding page

Tone

Sober, declarative, low redundancy. Facts in complete sentences. No marketing, no „we are the leading …“.

Structure

Definition sentence at the top → structured facts (name, location, founding, activity, languages, contacts, profiles) → short term clarifications → structured data (Person/Organization, sameAs).

Weak

“We are your experienced agency for innovative solutions in digital visibility.”

Strong

“boostN.ai Agency is an SEO and GEO consultancy based in Düsseldorf. Managing director: Martin Rau. Operating since 2018. Focus areas: Generative Engine Optimization, technical SEO, entity building.”

Campaign / sales page

Landing page

Tone

Sales-driven, emotional, benefit-led — but with clear answer sentences up top. LLMs do read landing pages, but weight them lower than grounding pages and glossaries.

Structure

TL;DR block at the very top (3–5 lines: what / for whom / outcome) → problem → solution → benefit → proof / cases → CTA. One H1 per page; phrase H2/H3 as answer-style questions.

Weak

Hero with no explainer — just a slogan and a button. LLMs find no quotable statement.

Strong

Hero with one clear sentence: “We make mid-market B2B brands visible in ChatGPT, Perplexity and Gemini — through entity building and grounding pages.”

Directly quotable answers

FAQ block

Tone

Question = the actual user question, verbatim. Answer = a complete sentence that works without the question (LLMs often clip answers free of context).

Structure

5–10 real customer questions. Answer 40–80 words. The first answer line is a quotable statement; details follow. Mark up with FAQPage schema.

Weak

Q: “How much does it cost?” A: “It depends. Let's talk.”

Strong

Q: “How much does a GEO audit at boostN.ai cost?” A: “A GEO audit at boostN.ai starts at €1,500 net and includes a crawler check, an entity audit, a grounding-page review and a 30-day action plan.”

04 · Where LLMs source from

Who decides whether you get cited?

Models don't pull answers from thin air. They combine three classes of sources — and your GEO strategy should feed all three.

01

Live web search

Who ChatGPT (SearchGPT), Perplexity, Gemini, Copilot
How Query → an in-house or third-party search engine (Bing for ChatGPT/Copilot, proprietary indices for Perplexity, Google for Gemini) → top results are fetched and cited.
What it means for you Classic SEO is a GEO prerequisite — without a top-10 ranking in Bing or Google, you'll rarely be picked up. Don't forget Bing Webmaster Tools.
02

Training and trust graphs

Who All major models (training corpus + downstream grounding)
How Wikipedia, Wikidata, Crunchbase, GitHub, OpenAlex, official government registries, large news domains, Common Crawl. These sources act as a trust anchor when models disambiguate entities.
What it means for you A Wikidata entry + Wikipedia mention + clean sameAs linking are by far the strongest levers for being recognised as an entity at all.
03

Industry and authority lists

Who Models pull these via web search or as a training source
How “TOP 100 Mittelstand”, “Hidden Champions”, chamber-of-commerce directories, trade registers, industry associations, trade-press rankings, Fortune/Forbes lists, local best-of lists.
What it means for you Being mentioned on these pages is a GEO signal in its own right. A listing in “TOP Mittelstand Germany” outweighs three mediocre backlinks — even without a link, through unlinked brand mention alone.
Rule of thumb: if you rank on Bing/Google, sit in Wikidata and get mentioned in industry lists, you are visible across all three source classes at once — and therefore quotable in practically every major LLM.
05 · FAQ

Frequently asked about GEO

Do ChatGPT and friends actually read my landing pages?

Yes — if you let the crawlers in and the page is discoverable via live web search. But LLMs weight landing pages lower than grounding pages, glossary articles and FAQs, because there are fewer quotable statements per word.

Are FAQs preferentially cited by LLMs?

Often, yes. FAQ blocks deliver self-contained question/answer pairs a model can drop straight into an answer — especially when you use `FAQPage` schema and the first sentence of the answer stands on its own.

Do I really need a Wikidata entry?

For serious entity visibility: yes. Wikidata is the machine-readable hub models use to disambiguate people, brands and organisations. Without an entry, your brand competes with namesakes and half-identities.

Is classic SEO enough?

No, but classic SEO remains the prerequisite. If you don't rank top 10 on Bing and Google, the LLMs' live search rarely pulls you in. GEO builds on top — with entities, grounding and brand mentions.

How long until GEO measures take effect?

Crawler permissions and FAQ schema kick in within days to weeks. Entity building via Wikidata, Wikipedia and brand mentions is a six- to twelve-month process — and exactly that is what makes it a defensible lead.

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