Technical SEO/GEO/AEO Consultant & Python Developer
Writing about how sites get found — by people, search crawlers, and language models alike — and how to build the infrastructure that works for all three. Technical SEO, Generative and Answer Engine Optimization, Python automation: audits that name the actual blocker, and experiments published together with the data behind them.
What I do
- Technical SEO audits — crawling, indexation, speed and server responses: finding what actually keeps the site out of the top results.
- GEO — visibility in AI answers — making the site readable for ChatGPT, Perplexity and AI Overviews, and building the brand mentions those models rely on.
- AEO — ready-made answers — short answers, lists, tables and structured data, so a page can be quoted without being rewritten.
- Python automation — agents and scripts that collect the data, so the model only has to interpret it.
- WordPress fixes — speed, crawl budget and template work on existing sites.
| Approach | Where the answer appears | What matters most |
|---|---|---|
| SEO | Classic search results | Crawlability, relevance, links |
| GEO | ChatGPT, Perplexity, AI Overviews | Machine-readable pages and brand mentions |
| AEO | Featured snippets and voice assistants | Short answers, lists, structured data |
Services and prices
| Service | Price | Format and timing |
|---|---|---|
| Comprehensive SEO/GEO/AEO site audit A full technical and content review of the site: crawling and indexation, speed and server responses, access for AI crawlers, structured data, duplicate titles and descriptions, and a comparison with the pages that already rank. You get one document with every finding, what it costs you, and the order to fix things in. |
$350 | Report in 1 business day |
| Audit debrief consultation A detailed walkthrough of the recommendations: what to do first, what can wait, what each item takes in hours, and which tasks go to a developer, a copywriter or a marketer. Questions on your own data are part of the hour. |
$90 / hour | 60 minutes, online |
| Ongoing SEO/GEO/AEO Continuous work on visibility in both classic search and AI answers: technical fixes, a content plan and briefs, structured data, growth of brand mentions, and monthly measurement against a baseline rather than against last week. |
$950 / month | Monthly, with a report at the end of each month |
Work starts after the brief is agreed and the invoice is paid; the audit report comes as one document with a prioritized action plan.
Latest on the blog
all posts →Did Your Rank Tracker Show a Collapse in Late September? Google Likely Served It a Fake SERP
Nozzle analyzed 27.5 million SERPs and found that from September 20 Google began serving rank trackers substituted results — no errors, no captcha, outwardly normal. At the September 29 peak, 27% of SERPs were poisoned, and the tracked site fell out of the top 10 in 58.6% of them versus 2.7% in the baseline. Here is the data, a three-minute test to tell a poisoned SERP from a real drop, and why I stopped tracking positions.
Mueller: "AI Systems Build on SEO." Why the Technical Base Decides GEO and AEO Too
On November 2, Search Engine Journal published an interview with John Mueller: technical SEO remains the foundation for AI search too, and a strategy built entirely on listicles will one day simply switch off. Here is what he said verbatim, what retellings add on his behalf, and why I agree — starting with a site that spent 89 days unreachable for crawlers for three server-side reasons.
PythonChris Green Built a Chrome Extension for This. In Orakul It's Just Text
On September 30, Chris Green wrote in Search Engine Journal that not every SEO task needs a frontier model: exact operations belong in code, light interpretation in a small local model, and the expensive frontier model should be called only for judgment. I built a product on exactly that principle. Here's how the same architecture gets assembled in text, with no code, and where my stack falls short of his design.
GEOGoogle's Top 10 Still Feeds AI Answers. Three Signals the Rules Are About to Change
The common view is that AI answers have already changed search. Under the hood it is still the same two-stage ranking pipeline. I checked this on data from anastasiya.studio: 74% of pages with impressions in AI Overviews and AI Mode rank in the top 10 and collect 92.6% of AI impressions. But Google has already published the theory that removes that pipeline, started paying for contributions to AI answers, and opened a Search Console report for them. Here are the three signals and what to do right now.
SEOWhich Page-Two Rankings Are Worth Fixing: Contrast Analysis by an AI Agent on a Live Store
An agent in Orakul pulled 5 anastasiya.studio pages ranking 10–20 and compared each one with Google's top results. Two are worth fixing, one has a ceiling of 1–2 positions, the agent refused to suggest edits for one, and one has nothing to compare. Here's the data, what I changed on the site right away, and how I'll check the result in a month.
SEONegative SEO Link Bombing Is Real. That SEJ Disavow Story Was Something Else.
A widely shared Search Engine Journal story about a Reddit user's ranking collapse is making the rounds as proof Google can't stop negative SEO. It isn't that story — it's about someone disavowing their own paid links by mistake. The real threat is separate, and one of our clients lived through it: a coordinated spam-link attack, a same-day disavow file, and months of Search Console data that still hasn't fully recovered.
Technical write-ups are moving to Habr (Russian-only) — starting with the case of the vanishing IPv6
Technical deep-dives now live on Habr, in Russian only. Today's case: a client's site was blamed on Russian network-level blocking for three months — the real cause was three ordinary misconfigurations on one server.
About me
My name is Max. Technical SEO consultant with 8+ years of practice, specializing in GEO/AEO since 2023. I write the Python tools I use for audits, crawling, and Django-based services, and I have run 120+ technical audits for product and content sites.
I have been in internet marketing since 2014 — industrial companies, education, events, software.
When COVID hit, I decided that a marketer who codes would outlast a marketer who does not, and learned Python. The first real scripts I wrote at my wife's request: small tools for her Teachers Pay Teachers store. They worked so well they grew into tptseo.tools — a product TPT sellers use today.
At Sundrax I ran SEO for six sites, each in seven languages — 42 versions of every decision. There it became obvious that search was changing faster than the playbooks: people were getting answers from ChatGPT and Perplexity, not only Google. I went deep into GEO, then AEO, and rebuilt my audit process around one question: can a language model read, understand, and cite this site?
Current project — Orakul: AI agent orchestrator for agencies.
This site is my lab notebook: what works, measured on real projects. And the free audits section is that notebook turned into a tool: run one and see how AI systems read your site — it costs you nothing
Frequently asked questions
What's the difference between SEO and GEO/AEO?
Is the free audit actually free?
Do you take on client work or build custom tools?
What's your background?
Free AI visibility audit
See how visible and understandable your site is to LLMs like ChatGPT, Gemini and Perplexity.