MarketLensMost sites are not overlooked by AI search because their content is weak. They are overlooked because a parser could not cleanly lift an answer off the page.
Why MarketLens Exists
Conventional SEO engagements ask a business to buy a process it cannot inspect: a monthly retainer, a quarterly slide deck, and a long PDF whose recommendations still need a developer to interpret. The advice is often sound. The packaging is what makes it hard to act on.
MarketLens is built around a different unit of work — one complete audit, scoped and agreed before it starts, written to be executed rather than admired.
Who Runs It
MarketLens is run by Cristian Glavan, who does the audits personally. There is no account manager layer and no team byline on the articles here, because a named author who can be held to what they wrote is the entire point of an E-E-A-T signal.
The tooling behind the audits is built in-house: Model Context Protocol servers that connect an AI assistant directly to the Google Search Console, Google Analytics 4, and Google Trends APIs, so that findings come from a live query against your property rather than from a crawler’s guess.
What You Actually Receive
Audits arrive as dense Markdown rather than a design-led PDF, for a practical reason: Markdown is the format an AI assistant reads best. Every finding carries the literal evidence behind it — the exact title tag, meta description or og:image URL found on your page, quoted verbatim rather than summarised — followed by a prompt you can paste straight into Claude Code, ChatGPT or Cursor to implement the fix.
The distance between reading a recommendation and shipping it becomes one paste, not one procurement cycle.
Every Number Is Reproducible
Audits report figures pulled live from your own Search Console and Analytics, and each one is stated alongside the query that produced it. If a number cannot be reproduced from an API call, it does not go in the report.
That rule is enforced on this site too, not just in client work. The dental clinic case study documents the exact API queries behind every figure it cites, including the metric that was deliberately excluded because its growth looked like a tracking artefact rather than real behaviour, and a section on what the data does not prove.
The Method Has a Measured Track Record
The four-layer methodology was not designed in the abstract. It came out of a year-long engagement with a dental practice competing in a saturated local market, run without a single paid advertisement — a site that had lost 43% of its organic traffic over the preceding two years before the recovery began.
| Metric | Result | Window |
|---|---|---|
| Search Console clicks | 8,122 → 18,747 (+130.8%) | May–Aug, year over year |
| Search Console impressions | 483,969 → 1,047,189 (+116.4%) | May–Aug, year over year |
| Average position, mobile | 23.8 → 8.6 | May–Aug, year over year |
| Organic sessions | 13,817 → 29,384 (+112.7%) | Jan–Aug, year over year |
| Direct contact actions | 503 → 1,135 (+125.6%) | Jan–Aug, year over year |
| Advertising spend | $0.00 | Throughout |
Every check in the audit list earned its place by moving one of those numbers. The full case study shows the month-by-month shape, including the first eight weeks in which nothing improved.
Who This Is For
MarketLens suits businesses that own their website and can act on technical guidance — directly, through a developer, or through an AI coding assistant. If what you need is someone to implement changes on your behalf every month, an agency retainer is the more honest recommendation, and you will be told so rather than sold an audit you cannot use.