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Answer Engine Optimization (AEO)

We help businesses get cited when people ask AI.

Search is fragmenting across ChatGPT, Perplexity, and Google AI Overview. A small number of sources get pulled into the answer. The rest are invisible. We do the structural work that puts you in the cited set.

Score your own site in 30 seconds. No email, runs live.

Same engine our paid analysis runs on. Score, gap list, and inline card checkout — all in English.

Order the Sitert package — USD 1,100 → Email us directly

What AEO actually is

AEO is the engineering side of being mentioned by AI assistants. Schema.org markup, machine-readable metadata, canonical entity definitions, consistent business identity across data sources, content that maps cleanly to how questions are asked.

It is roughly to AI assistants what SEO was to Google in 2005: a set of structural fixes that take a site from "the algorithm cannot tell what this is" to "the algorithm has enough signal to cite it confidently."

We are a small team, based in Stavanger, Norway. Most of our day-to-day is Norwegian SMB work. The methodology is language-agnostic, and we have shipped foundations for English-language SaaS clients on the same basis.

How we work

Both packages are one-off. No meetings, no dashboards, no subscription — you get a document you can forward internally, and the raw data behind it.

The Sitert package

USD 1,100

The measurement is free. This is the fix. Five buying-intent questions from your market, each run at least nine times over several days with byte-identical prompts — then the changes written out for every page that blocks citation (schema, answer blocks, titles, copy), paste-ready or as a pull request, plus a re-measurement after 30 days with the same questions and the same method. You get the before-and-after numbers, the names of who gets cited instead, and the raw data so you can re-run it yourself. If a high-priority item is not delivered as promised, we redo the work without a new invoice. Invoiced from AS Åmdal Invest (Norway), 14-day terms, card payment link included. USD 1,100 is the export price and covers card and currency conversion; the Norwegian list price is NOK 9,900 excl. VAT. No Norwegian VAT is charged on services exported out of Norway.

Order the Sitert package — USD 1,100 →

AEO Lite

USD 92

FAQPage JSON-LD for one page you choose (3–5 Q&A pairs). Ready to paste into <head>. Delivered by email within one business day. One-off, no follow-up.

Stripe charges in USD on card. Norwegian-registered company — NOK invoice available on request: email hei@synligdigital.no.

One case in public (related party — disclosed)

Nordic Lithium, a Norwegian battery materials retailer, was selected as Synlig's first internal AEO implementation. Score went from 67 (grade C) to 90 (grade A) over roughly two weeks of structured work. Related-party disclosure: Nordic Lithium and Synlig share common ownership (Håkon Åmdal). This is a documented methodology case, not an arm's-length customer engagement — full ownership disclosure on the case page.

"We have had a lot of traffic the last few months. I would not rule out that this is because of the improvements Synlig Digital made." Feedback from Nordic Lithium, May 2026 (related party — see disclosure above). Full case: synligdigital.no/en/case/nordic-lithium

The methodology is the same in any language. Our two published cases (Nordic Lithium and Pierstop) are both related-party implementations — chosen as methodology baselines because internal access let us run clean before/after audits without external coordination. The schema and structural work transfers cleanly to arm's-length customers; the first such case is in progress.

What we have written in English

Audit data and findings, not pitches. Full index at synligdigital.no/en/blog.

If you want to talk

The fastest way is email: hei@synligdigital.no. Mention what your business does and the URL. We reply within one working day, usually faster.

If you want your own AEO score first, don't email us — run it yourself at the top of this page. Same engine, in English, about 30 seconds, no email required: a 0–100 score and the structural gaps we found. It measures whether your pages are machine-readable. It does not tell you whether AI actually cites you — that needs its own measurement, and the changes are what you pay for.

About the tool you may have come from. LLM Smell Check is a small open-source thing we put together because we kept seeing AI-shaped marketing copy in the wild and wanted a way to score it. It runs entirely in your browser, nothing is uploaded. Code is on GitHub; patches welcome.