Ramola

Activate Transformation

Your buyers stopped searching.
They started asking.

When someone asks ChatGPT, Claude, Perplexity, or Google’s AI Overviews about your category, one company gets named. We engineer the structure, evidence, and machine-readability that make it yours — and build the software behind the answer.

No pitch deck. We run the probes and show you the raw output first.

Why traffic falls while rankings hold

You are not losing to a competitor.
You are losing to the answer.

The most common thing we see: rankings flat, impressions steady, sessions down and to the right. That gap has a mechanism, and it is fixable.

01

The click never happens

The engine reads the sources, composes an answer, and resolves the question in place. Your ranking is intact. The visit is gone.

02

One source gets attributed

Answers name a small number of sources — often one. Position 7 on a results page still earned a look. Seventh-most-quotable earns nothing.

03

Selection runs on structure

Models favour content they can extract cleanly, attribute confidently, and corroborate elsewhere. That is an engineering property, not a writing style.

The Ramola AEO Index

We published the scoring method before we published the scores.

A public, versioned benchmark of how visible real companies are to answer engines. Open methodology, a fixed cohort, machine-readable results, and the raw probe output behind every number — so you can check our work instead of trusting it.

  • Open

    Scoring spec is versioned and public. Fork it, argue with it, run it yourself.

  • Reproducible

    Every score ships with the prompts, engines, and timestamps that produced it.

  • Honest

    We score ourselves in the same cohort, and publish the result whatever it says.

What we do

Visibility is the front door. We also build what is behind it.

Getting cited is worth little if the product the buyer arrives at cannot carry the promise. Ramola covers both halves — which is why the recommendations and the implementation come from the same people.

Core practice

Answer Engine Optimization

Be the source the model quotes.

Search stopped being a list of links. When a buyer asks ChatGPT, Claude, Perplexity, or Google's AI Overviews about your category, something gets cited — and it is either you or your competitor.

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Core practice

SEO Engineering

Technical SEO done by people who ship code.

Most SEO engagements stop at a spreadsheet of recommendations somebody else has to implement. We implement.

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AI & Machine Learning

Systems that run in production, not demos.

Retrieval pipelines, document intelligence, agentic workflows, and model integration built to survive contact with real data and real users — with evaluation, cost controls, and failure handling designed in from the start.

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Custom Software Development

Full-stack build, from schema to ship.

Web platforms, internal tools, APIs, and integrations. TypeScript, Next.js, Postgres, containerized deploys.

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Enterprise Modernization

Replace the engine without stopping the car.

Legacy migration by strangler-fig: route traffic incrementally, keep both systems truthful during the overlap, and cut over when the new path has earned it. No flag day, no weekend everyone dreads.

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Fractional CTO & Advisory

Senior technical judgment, without the headcount.

Architecture review, vendor and build-versus-buy decisions, technical due diligence, hiring, and roadmap. For companies that need the judgment of a CTO more often than they need the salary of one.

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How we work

Measure, engineer, verify — then do it again.

Every step produces an artifact you keep. Nothing here depends on you taking our word for it.

01

Measure

We probe the engines before we touch anything, and hand you the raw output. If the baseline is already strong, we say so — that conversation is cheaper for both of us than a retainer.

02

Engineer

Structure, schema, entity coverage, evidence, performance. Changes land as pull requests in your repository, reviewable line by line.

03

Verify

Re-probe on the same methodology and compare against the baseline. Movement is attributed to specific changes, or it is not claimed.

04

Compound

Monthly re-measurement in the portal. Answer engines change their behaviour constantly; a one-time fix decays.

Earned, not asserted

Four things you can hold us to.

The people who advise are the people who implement

There is no handoff to a delivery team. The person who wrote the recommendation opens the pull request, which is why our recommendations are implementable.

We publish our methodology

Our scoring spec is public and versioned. If you disagree with how we weight something, you can see it, argue with it, and run it yourself.

We report against a baseline we captured first

Improvement is measured from a number we recorded before we started, using the same probes. No moving the goalposts after the fact.

We will tell you when the answer is no

Sometimes the honest finding is that your visibility problem is a product problem, or that you do not need us yet. Saying so costs us one engagement and earns the next three.

Find out what the engines say about you.

We will run the Index probes against your domain and walk you through the raw output — what you are cited for, what you are not, and which gaps are worth closing. No deck, no obligation.