Growth · Generative engine optimization

Generative engine optimization, grounded in your business.

Help prospective customers find clear answers about your services in search and AI-assisted discovery. We improve the relevant pages, check technical access and review a defined sample of questions against a recorded baseline. The work supports customer understanding; mentions and enquiries are measured outcomes, not guaranteed deliverables.

Growth · price after a call · audit first · monthly measurement

How it works

A useful question, a supporting page, a possible citation.

Illustrative answer. The questions on the left are the kind we run every month; hover one to hold it.

Question → your page → the answerasking
  • Q1Who builds Webflow sites for construction companies in Poland?
  • Q2How much does a custom website cost in Kraków?
  • Q3Which agency makes AI videos for a product launch?
  • Q4Who can connect a CRM to a website?
assistantanswer

source: headpills.com/…

clear service scope · supporting evidence · appropriate technical structureillustrative

What you get

An audit of what assistants say today

Your buyers’ questions, run through the major assistants, answers saved. Whether you are named, whether the facts are right, which competitor is quoted instead. The baseline.

Useful pages and technical clarity

Pages that answer relevant buyer questions with evidence, supported by internal links and appropriate structured data. Optional experiments are separated from established search requirements.

A monthly measurement

A defined sample of questions, recorded with dates and settings. The report compares mentions, accuracy and citations with the baseline, alongside available enquiry data and the limits of attribution.

What could go wrong

Said before you pay, not after

  • A mention can disappear

    Assistants change how they pick sources without notice. A page quoted in March can be skipped in April for reasons outside the site. A later sample may reveal the change; monitoring cannot prevent it or capture every answer.

  • Nobody can promise to be cited

    Appearance depends on systems outside our control and can vary between answers. We commit to the agreed work and transparent measurement, with no guaranteed citation.

  • Writing for machines can hurt people

    Pages stuffed for parsers can make the offer harder to read and evaluate. We write for the reader first and structure for the machine second, and we measure the enquiries, not only the mentions.

  • Facts that do not exist cannot be published

    If the price, the area or the scope is not written down anywhere, the assistant has nothing to quote. The audit ends with a list of facts your company has to decide.

Proof

Applied to this website first

Every pagerule
Answer firstthe first paragraph states the answer

Every page on this site opens with the answer to its question, in text an assistant can lift. Read any solution page and check the first lines.

/llms.txtpublished
Facts fileoptional resource summary

An optional summary of public resources, not a Google requirement or proof of AI visibility. Open the file →

Prices and datespublic
Facts in writingthe thing most sites skip

Prices on the pricing page, a working method with dates, and case pages with the client’s name: the facts an assistant can quote. See the prices →

Price

Price after a short call. Audit first.

The proposal names the audit, priority pages, technical changes and any continuing measurement, with a clear scope for each.

See all prices

Define the visibility problem you want to solve

Generative engine optimization describes work intended to make a business easier to understand and find in AI-assisted search and answers. It overlaps substantially with clear content, technical SEO and credible public information. The practical starting point is a buyer’s question: what are they trying to choose, which facts matter and where does the business already provide a useful answer?

Discovery questions

Discovery questions may ask for a type of supplier in a market or help understanding possible approaches. These require a clear description of the offer and its relevance. A website listing every imaginable service and location can be difficult to interpret even when all the terms appear on the page. We identify the areas in which the company has a real offer and supporting material.

Decision questions

Decision questions are often more specific: what an implementation includes, how two approaches differ or what affects cost. These are opportunities to publish practical explanations that also help a human reader become a qualified lead. The objective is useful visibility connected to your business, rather than being mentioned in as many unrelated answers as possible.

Separate established search requirements from experiments

Different assistants and search products use different systems, so one tactic should not be described as a universal rule. We label what is supported by provider documentation and what is being tested. This keeps the work understandable and prevents an experimental file or content format from being sold as a guaranteed route to recommendations.

The dependable foundation

Google states that the existing SEO fundamentals apply to AI Overviews and AI Mode. A page must be indexed and eligible for a search snippet to qualify as a supporting link; additional AI-specific files or special schema are not required. Useful work therefore includes accessible content, internal links, consistent business information and technical checks. Eligibility does not guarantee appearance.

Optional tests

An llms.txt file can be maintained as an optional summary of public resources, but it is not equivalent to robots.txt and is not a Google requirement. We would not prioritise it over correcting an unclear offer, an inaccessible page or inaccurate pricing. Any experiment should have a defined purpose, a modest scope and a way to record what actually happened.

Create pages that resolve a real buying question

  1. Collect the question and evidence

    Start with sales conversations, support questions, search queries and the information competitors leave unclear. Group closely related questions into a coherent page rather than creating a thin URL for every wording. Collect the facts needed to answer it: scope, examples, constraints, current prices or a worked decision. If the facts are missing, that is a research or business decision before it is a writing task.

  2. Write the complete answer

    Explain the answer in language the intended buyer can use. A comparison should say when each option fits; a cost page should identify the variables behind the estimate; a technical page should distinguish a supported feature from a possible custom integration. Use tables, steps and diagrams where they clarify relationships. Repeated generic introductions add length without strengthening the answer.

  3. Make the next step relevant

    Connect the material to an appropriate action and supporting evidence. A reader investigating automation may need a process audit, while someone comparing website platforms may need a scoped quote. Link relevant work and service pages naturally. The page should remain useful if no assistant ever quotes it, because its primary purpose is to help a prospective customer make progress.

Measure mentions without confusing them with demand

A repeatable sample
For a manual answer review, record the questions, language, date, product used and relevant settings. Save the answer and cited pages, including cases where the business is absent or described incorrectly. Results can vary across sessions and product changes. A small question set is a sample for comparison, not a census of every answer prospective customers receive.
On-site behaviour
Referral visits and search performance add another perspective. Track landing pages and completed actions within the available analytics and consent setup. Google includes traffic from its AI features in the overall Web performance reporting in Search Console, so that report should not be presented as a separate complete count of AI mentions. Some visits may also arrive without a clear referral source.
Commercial follow-through
Connect the available data to lead quality: was the enquiry relevant, did the person understand the offer and did the conversation progress? A mention without a link may have value that is difficult to attribute. Conversely, a visible citation may produce no business. We report those limits instead of turning a screenshot of one answer into proof of sustainable demand.

Strengthen credibility without manufacturing it

  • Claims can be checked

    Use identifiable work, approved testimonials and accurate descriptions of what the business actually delivered. Explain whether a scenario is illustrative or based on a published project. A source link can help verify a platform fact, but it does not substantiate an invented performance claim about your own service. Evidence should support the specific statement next to it.

  • External references are legitimate

    External mentions are useful when they arise from a genuine relationship or relevant contribution. A client may choose to credit a supplier or describe a real collaboration. Hidden links, invented reviews and mass-produced guest articles do not improve the underlying credibility of the business. We focus the site work on material another person could reasonably reference for its usefulness.

  • Information stays consistent

    Maintain agreement between service pages, pricing, profiles and contact information. Record who owns updates when an offer changes. A detailed page can become misleading if its price or availability is left untouched. Periodic review should improve the substance, not merely change the displayed date to make an old article appear newly researched.

Start with a limited, reviewable programme

Choose a business question before a keyword list

Send your main services, priority markets, current website and examples of questions customers ask before contacting you. If Search Console or analytics data are available, they help identify existing visibility and gaps. We distinguish measured demand from a promising topic hypothesis and explain what additional evidence would change the priority.

The work is priced after reviewing the number of pages, technical issues and available source material. A proposal should name the audit, the pages to improve, any technical changes and the measurement period. Continuing monitoring needs an explicit scope. There is no credible fixed fee that can guarantee a place in every assistant’s answer.

A sensible first release improves a connected group of commercially relevant pages and establishes a baseline. Later work follows observed questions, content gaps and actual enquiries. This approach gives the business useful assets even while the search interfaces change, and keeps the programme accountable to customer understanding rather than a collection of speculative tricks.

Questions

Questions people ask about generative engine optimization

What does generative engine optimization include?

The scope can include a content and technical audit, clearer service explanations, relevant structured data and a repeatable review of selected questions. We connect the work to buyer decisions and existing SEO fundamentals. The proposal identifies the pages and monitoring period; it does not promise a recommendation from an assistant.

Which pages should we improve first?

Start with questions your prospective customers actually ask and pages that can support the answer with useful evidence. Costs, comparisons, scope and practical limitations are often relevant. Priority depends on your offer and available data, not a claim that one page format is always cited.

Do we need llms.txt or special AI markup?

Google does not require llms.txt, another AI text file or special schema for its AI search features. An optional public resource summary does not replace useful pages, indexing checks or appropriate structured data that matches visible content.

How do you measure AI visibility?

We record a defined sample of questions, settings, dates, answers and citations, and compare later samples. We also review available referral, search and enquiry data. Answers vary, so a manual sample is not a complete count of every mention or a guarantee of what another person sees.

Can you guarantee mentions or leads?

No. We can commit to a defined audit, implementation and measurement process. Search and assistant behaviour, competition and the commercial offer all affect the result. Reports distinguish observations from estimates and keep lead quality separate from mention counts.

How much does the work cost?

The price is agreed after reviewing the website, source material and number of pages. Technical changes, content work and ongoing monitoring are stated separately in the scope. The plan should leave you with useful customer-facing material even when individual search interfaces change.

Get a fixed quote

Send the site. We ask the assistants about you first.

Your site and your buyers’ questionsreplies from a person

We review a sample of relevant answers and propose a scope for improving your pages.

Ask us what the assistants say about your company.

Review the current evidence and define the pages and questions worth working on.