Prepare your offer for buying agents.

We prepare PDFs, articles, spreadsheets and product information so purchasing agents can use them.

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Companies already recommended by LLMs through getSichtbar

What we do.

Agentic Purchase means making buying information machine-readable and easy to compare. We structure PDFs, articles, tables, prices, conditions and product facts so purchasing agents can evaluate your offer.

Buyer questions

Can an agent compare our offer correctly?

Which product facts are missing or unclear?

Which terms, prices or limits should be explicit?

Evidence

PDF, article and spreadsheet review

Structured attributes, prices and conditions

Agent test with buying questions

Outcome

Your buying information becomes easier for agents to read, compare and use.

Why it matters

Buying agents need clear data, criteria and rules. Nice sales material is not enough.

Formats

PDF, articles and tables are checked together.

Goal

The agent must be able to compare.

Guessing

Important buying data becomes explicit.

Many buying documents look good but are hard for agents.

Agents need explicit information. If details are hidden or vague, they cannot compare your offer well.

Important facts only exist in PDFs.

Prices, variants or exclusions are unclear.

Product data is inconsistent.

Agents cannot compare your offer with alternatives.

Documents become agent data.

We turn important buying information into clear, comparable facts.

Result

AI should not just find your company. AI should understand when your offer fits.

Buying-agent readiness check.

We review the material, structure the facts and test whether an agent can use them.

Check material

PDFs, articles, tables, product pages and datasheets.

Order data

Attributes, prices, variants, terms and exclusions.

Build comparison

Criteria and buying arguments become easy to compare.

Test agent

We check whether an agent can use the information.

What we actually do.

PDF, article and spreadsheet audit

Attribute and criteria structure

Price, package and exclusion cleanup

Comparison-ready buying arguments

Agent test

What you get.

Agentic Purchase gap list

Structured buying information

Comparison criteria

Updated documents or data brief

Agent test result

Good fit if you want implementation.

You have products, packages or services buyers compare.

You can provide PDFs, tables or product data.

You want clear buying information, not prettier slides.

Not a fit if you only want a report.

You only want a report and no implementation.

You expect a guaranteed mention in one exact AI answer.

Your offer is not clear enough to recommend yet.

When this service is especially useful.

You sell complex products or services.

Buyers compare you using documents and spreadsheets.

You want to be ready for AI purchasing agents.

What this should not be confused with.

Sales deck

A deck convinces humans. Agentic Purchase structures data for agents.

PIM

A PIM stores data. We check whether the data is enough for buying decisions.

Content

Content explains. Agentic Purchase makes information comparable.

What it needs.

Collect buying material.

Structure the facts and conditions.

Test whether an agent can evaluate the offer.

Clear answers.

Is this only for ecommerce?

No. It also applies to B2B services, SaaS, industrial products and complex offers.

Do you replace our PIM?

No. We check and improve the information agents need for buying decisions.

What gets tested?

We test whether an agent can understand, compare and explain your offer.

The services work together.

Generative Engine Optimization

We check buyer questions in ChatGPT, Perplexity, Claude and Google. If your company is missing, we build the missing evidence.

SEO with AI

We use AI to find pages that lose demand or get too few clicks. Then we improve those pages.

Website content with AI

We build service pages, articles, comparisons, FAQs, cases and product proof that answer real buying questions.

Let us check whether this service should come first.

One call is enough to see the rough direction: website, content, sources, product data or measurement.

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