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AI Search Visibility

Technical AEO for schema, llms.txt and AI crawler access

We make your site’s technical signals easier to inspect and maintain: a coherent schema.org graph, a considered llms.txt file, accessible pages and reliable rendering. The work is scoped around your site, not a checklist applied by default.

In shortTechnical AEO is a focused implementation service for the site elements that shape how machine-readable information is presented and accessed. You receive a reviewed schema.org graph, llms.txt recommendations or implementation, and checks for crawler access and rendering. Timing follows the agreed scope and access to your site. The starting price is from $790 / project.
  • Confidential end to end
  • Kick-off within 24 hours
  • Pay in USDT, BTC or your token

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What does technical AEO change on your site?

Technical AEO reviews whether important site information is clearly represented, reachable and rendered—not whether a file can simply be added. For a Web3 project, that can mean aligning organization, product, documentation and page-level information so that a human maintainer can understand how the pieces relate.

This service suits teams with an established website or documentation area that want a senior review before changing templates or publishing technical files. It is especially useful when content is accurate but page rendering, inconsistent markup or unclear ownership makes the technical picture difficult to assess.

We start with the pages and entities that matter to your business, then separate the work into three practical categories:

  • Structured meaning: identify which schema.org types and properties accurately describe visible page content.
  • Access and rendering: inspect whether relevant pages can be reached and whether their meaningful content appears in the rendered page.
  • Machine-readable guidance: assess whether an llms.txt file is useful for your site and, if so, what it should point to.

The outcome is a prioritized implementation scope, not an assumption that every technical convention improves AI visibility. If you need the wider strategic picture first, see AI search visibility or begin with a GEO audit.

LLMs.txt vs schema.org: what belongs in each?

Schema.org markup and llms.txt serve different purposes, so one is not a substitute for the other. Schema describes entities and relationships in a structured format attached to pages; llms.txt is a proposed, plain-text way to point readers toward selected material on a site.

For schema work, we map the site’s real content before choosing types. A page should not receive markup that claims details a visitor cannot see, and repeated templates should express the same entity consistently. We review the graph as a connected representation: for example, whether the organization, site and page references fit together, and whether properties are supported by the page itself. The schema.org vocabulary is the reference point for type and property definitions.

For llms.txt, the decision is more restrained. We check whether a curated index would help someone navigate substantial documentation or reference material, whether the linked pages are stable, and whether the file would duplicate an existing navigation path. A useful file is concise and maintained; publishing one does not replace accessible pages or accurate page content. The llms.txt proposal can inform the format, but it is not a substitute for platform-specific instructions.

We record each recommendation with its purpose, source page and owner. That makes it straightforward to distinguish essential corrections from optional additions—and to avoid adding markup or files simply because they are discussed in an LLMs.txt guide.

Get the price for Technical AEO

Send a link to your project and a contact. We reply with a plan, timing and price.

How do crawler access and rendering affect technical AEO?

Crawler access and rendering determine whether a page can be fetched and whether its meaningful content is present in what a visitor-facing browser displays. We check the controls your team can inspect: robots directives, relevant server or security restrictions, response behavior and the rendered output of priority pages.

This review is not a promise that a particular AI service will visit or cite a page. It is a practical way to identify avoidable barriers and make the site’s intended content available for evaluation. Where teams ask about LLMs.txt for Perplexity, we treat the file and crawler access as separate questions: a text index does not grant access to a blocked page, and access alone does not determine whether a service will use the content.

A useful handoff includes the exact page or template to inspect, the observed issue, and the person best placed to resolve it. Before the review, prepare:

  • A short list of priority URLs, including documentation or product pages.
  • Any staging or access instructions needed to inspect the live experience.
  • The team contact for hosting, security rules and deployment decisions.
  • Existing schema documentation or notes about recent template changes.

We compare rendered output with the content intended for visitors, then flag differences that your developers can reproduce. If a page depends on client-side rendering, the recommendation is tied to what can be observed in that page’s actual output—not a general claim about how every crawler behaves.

What do you receive from a technical AEO engagement?

You receive a scoped technical review and implementation guidance that your team can act on. Depending on the agreed scope, we can provide a schema.org graph review, llms.txt decision and draft, crawler-access findings, rendering observations, and a prioritized implementation checklist.

We handle the work through a named review step: a senior reviewer checks the proposed changes against the visible page content before the recommendations are handed over. This is designed to catch mismatches such as markup that describes information absent from the page, duplicate entity definitions across templates, or a file that points to material that is no longer maintained.

The project typically moves through a clear sequence:

  1. Kickoff: confirm objectives, priority pages, site ownership and access.
  2. Inspection: review selected templates, rendered pages, current markup and access controls.
  3. Decision: distinguish required corrections from optional schema or llms.txt additions.
  4. Implementation: prepare agreed files, markup guidance or developer-ready tasks.
  5. Verification: recheck the agreed changes and provide a concise record of what was reviewed.

The work can be advisory or implementation-focused, depending on who controls the site and how it is deployed. For teams building broader answer visibility, technical work can sit alongside content for AI answers and entity and knowledge graph building. The scope is agreed before work begins, so your developer knows what will change and what remains outside the engagement.

What can technical AEO not control?

Technical AEO can improve the clarity and inspectability of the site elements within your control; it cannot dictate what an external service fetches, indexes, selects or cites. Each platform makes its own decisions about access and use, and publishing schema or llms.txt does not guarantee visibility in an AI answer.

That is why we define success around verifiable work: the agreed markup reflects page content, the file is accessible if included, specified pages render as intended, and the handoff identifies what was checked. Where the site has constraints—such as a content system that cannot expose a needed field—we document the constraint and offer the least disruptive route available.

For teams comparing technical work with broader search optimization, AI SEO can address the wider organic foundation, while AI visibility monitoring can help track observed changes over time. These are complementary scopes, not substitutes for correcting a page that fails to render or markup that misstates its content.

To begin, send us your domain, a few priority URLs, and the person who can answer questions about deployment or access rules. MediaStrategy will review the scope, confirm what can be inspected, and return a project outline with pricing from $790 / project.

Prices

ServicePriceQuote
Technical AEOfrom $790 / project

Starting prices in USD. Custom bundles and volume discounts on request. Payment in USDT, USDC, BTC, ETH, SOL, TON or your project token.

How it works

  1. Define the scopeShare your priority pages, business entities and immediate technical concern. We confirm which templates and access conditions are relevant.
  2. Inspect the siteWe review visible content, schema, llms.txt if present, crawler controls and rendered output for the agreed pages.
  3. Set prioritiesYou receive a clear distinction between corrections, optional improvements and items that require your developer or platform owner.
  4. Implement agreed changesWe prepare the agreed files or developer-ready instructions, with recommendations tied to specific pages and templates.
  5. Verify and hand overWe recheck the agreed work and share a concise record so your team knows what was changed and what to maintain.

Frequently asked questions

Is llms.txt required for AI search?

No. We treat llms.txt as an optional site file, not a prerequisite for AI search. It may be useful as a concise guide to selected, maintained resources, especially on documentation-heavy sites. We first assess whether your content and navigation give the file a clear purpose; if not, we recommend leaving it out.

What is the difference between llms.txt and schema.org?

Schema.org provides structured descriptions of content and relationships on pages. llms.txt is a proposed text file that can point readers toward selected site resources. They have different roles: neither replaces accurate page content, and a file does not correct markup or access problems.

Can you implement llms.txt for Perplexity?

We can assess and prepare an llms.txt file as part of your site’s technical scope, including checking that its links point to useful, maintained pages. We do not describe the file as a Perplexity control or promise that Perplexity will use it; platform behavior is outside the implementation itself.

What do you need from us to start?

Send your domain, priority URLs, the main outcome you are seeking, and a contact who can discuss the content system or deployment. If the review involves a restricted staging site, include appropriate access instructions. Existing schema notes and recent template changes are helpful, but we can establish the initial scope without them.

How long does a technical AEO project take?

Timing is confirmed after we know the number and type of pages, whether implementation is included, and how quickly the site team can provide access and review recommendations. The project starts with a defined scope, so you know the inspection and handoff stages before work begins.

Can you guarantee AI citations after adding schema or llms.txt?

No. An external service controls whether it fetches, processes or cites a page, and schema markup or llms.txt cannot compel that choice. We can commit to the agreed technical review and implementation work, then verify the changes that are observable on your site.

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