Follow-up: SERP Conf. Rome 2026 – Where SEO, E-Commerce & AI Meet in the Heart of Italy (October 16, 2026, Nazionale Spazio Eventi, Italy)

de

On October 16, 2026, SERP Conf. took place in Rome a one-day Advanced Conference. The event was dedicated to SEO, E-commerce, and AI and took place at Nazionale Spazio Eventi, a comfortable venue in the heart of the Italian capital. It brought together digital professionals from across Europe and beyond.

SERP Conf. has spent the last few years establishing itself as a conference built around substance. With over 3,700 attendees across 9 editions so far, and more than 115 expert speakers who have taken its single stage, the event was praised as practical, well-curated, and worth the journey.

Below, my notes, photos, and a video from the event.

Full list of previous follow-ups:

Contents

(top)

I. Photos & Videos from the event

(top)

Video:


See video on YouTube »

See video on TikTok »

See video on Facebook »

Part 1 – See video on LinkedIn – Post | LinkedIn

Part 2 – See video on LinkedIn – Post | LinkedIn

Part 3 – See video on LinkedIn – Post | LinkedIn

Part 4 – See video on LinkedIn – Post | LinkedIn

(top)

Photos:

See album on Google Photos »

See album on Facebook – part 1 »

See album on Facebook – part 2 »
(top)

II. My notes at the event

(note – there might be unwanted inaccuracies; these are personal notes, not an official transcript approved by the speakers)
(top)

A. SEO in the Age of AI

(top)

A1. Marco Giordano – LLM Automation for SEO in 2026

From this document: Here are the resources you need to follow:

Tired of spreadsheets & GA4 Explorations? Everyone is.

Previous tools are now data sources.
Previous tools: Google Analytics 4, Google Search Console, Google Ads, Google Sheets + Data Studio.
New: BigQuery, Dataform, n8n, Hermes Agent, Antigravity IDE, Claude Code, Openrouter, Terminal.

GSC + GA4 – have the most complex BigQuery data export.

Store your data in BigQuery, then export it.

n8n enterprise workflow automation tool headquartered in Berlin, Germany.
Connects apps, APIs, and data sources.
Builds workflows from triggers, rules and actions.
Automates repeatable processes with little or no code.

Hermes Agent – the most useful software for Marco.
Open-source AI agent for getting work done across tools, tasks, and workflows.
It’s a self-learning agent that acts as your personal assistant.
It’s a wrapper around tools.

Claude (Code) is a nice intro for coding and basic automation.
But:
1. It’s expensive;
2. It’s basic;
On the other hand, you can use it with Hermes. It can help you with the setups.
You can automate basic data extraction.

What to use for SEO automation: Chinese models. They are cheaper, but with similar features to Western software.
DeepSeek is a good laboratory.

In Pharma, Finance, or other regulated industries, you have to use compliant models.
Also, you can use OpenRouter.

Tools to use:

  • Kimi (by Moonshot AI), an AI assistant and chatbot platform
  • DeepSeek, the popular AI assistant and large language model platform.
  • Z.ai (formerly associated with Zhipu AI / ChatGLM), an AI technology company focused on foundation models like GLM.

(cheaper than Claude Fable 5.1)

LLMs evolve constantly. ChatGPT is now much better today than it used to be.

The Content System for August 2026 flows from content sources through an agent and automation side to produce various outputs. Content is sourced from platforms including Obsidian, WordPress, Qwen, and Scrapling, which is then processed by agent and automation tools like Kimi, Model Context Protocol (MCP), DeepSeek, and Seotistics. Finally, the system delivers its output through communication and messaging channels such as Gmail, Slack, and Telegram.

Content research pipeline:
#1 Identify keywords; Qwen, an AI assistant and large language model family developed by Alibaba Cloud (originally known as Tongyi Qianwen)
#2 Scrape competitors’ websites; Scrapling, a high-performance, adaptive Python web scraping framework and library created by Karim Shoair (D4Vinci).
#3 Synthesize. ChatGPT, Claude, DeepSeek, Gemini.

Powerful API Stack For Data-Driven SEO Tools – DataForSEO

In Google there are:
a. Different geographies;
b. Different languages.
You can have Google Switzerland with multiple languages.

What the automation produces? A file with 2 tabs, as simple as possible.
New pages tab – Recommendations and competitor references based on the audience.
Existing pages tab – GSC/GA4 data plus advice on how to improve the page.

Content writing stays human.
The automation does:
– research and summarization for you;
– prepares drafts.
But would never be suitable for writing.

B2B, SaaS, or sensitive niches – you need to have quality content.
For B2C, for example eCommerce stores – you can produce lower quality content.

A paradox about productivity – if it takes you fewer hours to do a task, you’ll still work pretty much the same working hours.

Using AI/LLMs won’t:
– Make you rich;
– Outperform top-tier professionals.
Consider it as a capacity multiplier!

Humans give context to LLMs to do the boring stuff so someone executes.
(top)

A2. Gianluca Fiorelli – When AI Gets the Country Wrong: International SEO in the Age of AI Search

Italian query -> US source -> Italian answer.
Linguistically correct. Geographically wrong.

AI search did not invent the weakness, but it exposed it.

Thesis: The question changed. In classic international SEO, the focus is on which URL should be served. In contrast, AI search adds the question of which information will be retrieved. Ultimately, serving logic and grounding logic are not the same thing.

The new problem: Which information becomes the grounding source?

Localized variants become difficult to distinguish along their dominant semantic dimensions.

The dominant version becomes easier to select when localized variants are semantically close.

The strongest version can become the default representation.

Correct hreflang ≠ (is not) guaranteed AI grounding. And canonicalization can amplify the problem.

Classic Search can consolidate… and still serve the local alternate.

Perfect hreflang is the starting point. Not the solution.

The technical setup can be correct while retrieval is wrong.

Stop modelling the brand as one global blob.

Schema is support. Not magic.

Your internal graph must tell the same story.

Audit mentions. Not only backlinks.

You cannot always control the citation. But you control what happens after the click.

The freshest market can become the de facto truth.

The goal is not to make AI know that your local page exists.
The goal is to make it understand WHY the local page is the correct source for the local targeted market.
(top)

A3. Panel – Q&A Session

Panel:

Moderator: Judith Lewis (Founder of DeCabbit Consultancy)

Apify: Marketplace of ready-to-run tools for AI
Apify is a marketplace of ready-to-run tools for AI. Get real-time web data, track competitors,
generate leads, monitor social media, and integrate your apps and agents.

Introduction | Camoufox
An open source anti-detect browser built for AI agents. 🦊

AI Search Optimization & Prompt tracking | Waikay
What AI
Knows About You!
More than AI visibility and prompt tracking. Waikay analyzes AI responses at depth to uncover hallucinations, missing knowledge, and competitive gaps.

Obsidian AI explained: How it enhances knowledge management for 2026 | eesel AI

Say Studio – Create Autonomous Storytelling Agents

SEO Agency – Screaming Frog

Rad Paluszak:
Claude and ChatGPT are good solutions concerning LLMs.
Mistral – similar quality with Chinese models.

Gianluca Fiorelli:
Software from Europe is of good quality and good products, but we lack some marketing qualities.

(top)

B. Ecommerce Marketing & AI

(top)

B1. Crystal Carter – Shopping with Agents: Your agentic commerce playbook

Amazon.com: The New Rules of AI Search: SEO for visibility in ChatGPT, Google Gemini and Generative Search: 9781394399697: Carter, Crystal: Books

Protocol Name Focus Area Key Marketing Benefit
Model Context Protocol (MCP) Tool & Data Connects AI tools, local data sources, & APIs powering automation and agentic activity
Agentic Commerce Protocol (ACP) Agentic shopping Enables Instant Checkout inside ChatGPT via Stripe
Universal Commerce Protocol (UCP) Agentic shopping Enables agentic purchases in Google AI Mode, Gemini, etc.
Agent Payments (AP2) Financial mandates Creates secure agentic shopping infrastructure
Agent2Agent (A2A) Multi-agent coordination Creates secure agent to agent comms framework
WebMCP Browser-level interaction Transforms websites into discoverable tools, allows agents to execute actions via the browser

Things done for accessibility help bots and agents understand a website better.
For example, ARIA labels.

What is agentic commerce? A complete guide to the future of shopping
(top)

B2. Amanda Beales – Scaling Agentic Readiness: The Step-by-Step Framework for eCommerce Brands

What is a WAF? | Web Application Firewall explained

AXray Extractor | Free Accessibility Tree Tool | John McAlpin

10 SEO use cases for auditing your accessibility tree for AI search

Google changes EU search results, warns of quality hit
(top)

B3. Panel – Q&A Session

Panel:

Moderator: Judith Lewis (Founder of DeCabbit Consultancy)

Crystal Carter:
Digital agencies have the advantage of having insights from lots of business.
They can apply this knowledge to other businesses.

Crystal Carter:
The Internet has a second audience | Cloudflare Blog
It’s good to know which countries have a large percentage of bots driving Internet traffic.
Those are most likely to have agentic bot usage in the future.

Natalia Palmisano:
You need to be faster these days.
You can use AI to increase the speed of your business.
If you use technology properly, you can be more competitive.

Amanda Beales:
Brand reputation and your backlink profile are very important for AI Agents.
Some of the criteria for LLMs are the same as they used to be.

Crystal Carter:
Domino’s Pizza slogan: „We’ll deliver in 30 minutes or less, or it’s free!”.
It’s less important if they don’t compete so much on pricing or quality.
They have a differentiator, and they use it.

Beatrice Gamba:
The real competitive advantage is data.

Amanda Beales:
Productrise: Google Product Rank Tracking & Organic Shopping Optimization

Natalia Palmisano:
The companies need to be the real answer for LLMs.
They need to be the real source of truth for LLMs.

Crystal Carter:
Attribution is a big issue currently for LLMs.
We used to have source data and a real source of truth, but right now it’s tricky with AI.

(top)

C. AI Search in the Real World

(top)

C1. Purna Virji – Your AI ROI Story Is Broken: What Search Teams Should Measure Now

Goodhart’s Law: “When a measure becomes a target, it ceases to be a good measure.” – it’s named after economist Charles Goodhart

AI can be perceived as a cost-cutting tool.

The true question: How do we prove AI drives revenue?

Expansion:
#1 Quality lift – better work, rather than faster; „let’s create content that improves conversion, not more content, delivered faster”;
#2 Scope growth – do more of the work we used to do before (it used to ask for more time, resources, money); „we have more on our to-do list than we can actually”; same AI + bigger question = more opportunity;
#3 Capability unlock – new capabilities; build new skills, that you didn’t have before; develop new skills; same AI + harder question = new capability.

Daft Punk – Harder, Better, Faster, Stronger (Official Video) – YouTube

AI should help you become – Harder, Better, Faster, Stronger.

How to speak CFO? Translate AI into business impact.
1. Is this making us more effective? (quality lift)
2. Is it creating competitive advantage? (scope growth)
3. Is it sustainable? (capability unlock)

You can keep tracking saved, but focus reporting on the actual win.
Time saved – capacity created. Leading indicator.
Expansion – impact realized. Lagging indicator.

Which changes the budget conversation?
A. AI saved 1,200 employee hours this quarter.
B. We used AI to increase upsell revenue by 18%. (correct!)

A. AI reduced proposal-writing time by 65%.
B. AI helped us submit 40% more proposals and increased close rate by 12%. (correct!)

A. AI reduced production time from 5 days to 2.
B. AI let us launch 3x more localized campaigns into markets we previously couldn’t support. (correct!)

ROI will always matter. What’s changing is how we prove it.

Pair tactical metrics with ROI metrics:
1. CTR/engagement <=> CVR, CAC
2. AI citations <=> pipeline growth
3. Better CX scores <=> churn rates, LTV

You can’t prove lift without a baseline.
Establish your baseline with an MVE (Minimum Viable Engine).

Quattro passi. Trenta giorni. (four steps for 30 days)
1. Pick one workflow;
2. Note your before state;
3. Track expansion for 30 days;
4. Connect to business outcome.

LinkedIn Newsletter: Agent-Led Growth
(top)

C2. Murat Yatağan – What AI Search Taught Me About Traffic: Three Real-World Stories, Less Content, More Revenue

Search is not dying; it is being re-segmented.

LLMs already produce the average for free.

If your article could have been written by an LLM model, the reader does not need your article.

Top-of-funnel content did not die; it changed jobs.
Keep publishing it. Judge it differently.

The old job:
a. Bring traffic;
b. Push it down a funnel;
c. Report sessions;
d. Compete on volume.

The new job:
a. Educate your ICP; (Ideal Customer Profile)
b. Be the source LLMs cite; (Large Language Model)
c. Say what only you can say;
d. Compete on perspective.

I stopped reporting traffic. We track it, but we don’t report it.

It is not new traffic you need. Understand how revenue is driven, and assist it.
(of course, you still need new traffic, but that’s not the most important metric)

Case study: we removed 70% of the site; conversions went up 15%.
Two reasons it worked:
#1 Unblocked visibility. The pile of low-quality pages was capping the whole site. Removing it lifted everything else.
#2 Then CRO on the pages that matter. The effort went into converting, not producing. Do what matters.
Less noise, more trust.
When you remove what does not matter, what matters gets found, read, and cited.

Case study: we refreshed 40 articles and wrote 16 new ones.
A Series B consumer health brand. Our engagement started in January 2026. Refresh first, create alongside.
TOFU contribution to revenue: 2x (Top of the Funnel).
The blog’s share of total revenue, before and after the engagement: 5.9% in February => 13.8% in October.
TOFU contribution to revenue: 2x in under 6 months.
This is why refresh comes first: content decays.
Same blog, same 6 months. Updated pages climb. Untouched pages sink.

New content works. It is just slow.
The 16 new articles: zero to 28% of blog revenue in six months.
Refresh pays back fast. That buys runway for the slow builds.
Organic revenue.- shrinking in January, booming since April.
The AIO rollout was squeezing this brand. Engagement started Feb. 2026. (AI Overviews)

Three movies, one pattern – producing more content was never the first move.
Pointing marketing effort to the buyer instead of the browser.

The strategy shifted by stopping the creation of new explainer articles, chasing headterm volume, and reporting sessions as the KPI. Instead, the focus moved toward handling funding, procurement, and compliance questions, building comparison and use case pages by buyer type, and applying conversion fixes on the pages that already sold.

Stop measuring the wrong things – vanity on the left. Money on the right.
Stop tracking in isolation:
a. Traffic – by itself, it tells you people passed through;
b. Raw LLM citation counts – being cited for „what is X” is worth nothing.

Start tracking:
a. Share of revenue content drives or assists – the only traffic number leadership needs;
b. How LLMs mention your brand in high intent prompts: “best X for Y”, “X vs Z”, “is X worth it”.

The method, as high-level as I can make it:
No shortcuts. No checklist. A way of deciding where effort goes.
a. Understand your ICP’s problems;
b. Map them to queries and prompts;
c. Find the gaps: theirs or yours;
d. Fix what exists before you create;
e. Watch traffic. Report revenue.

Do not run someone else’s playbook.
„200 articles and a funnel” was a playbook. Your ICP’s problems are not in anyone’s playbook.

Narrative: only say what only you can say.
Top-of-funnel earns trust. The rest earns revenue.

Takeaways:
#1 Judge top-of-funnel on trust, not traffic. Publish it for your ICP and for the models. Only say what only you can say.

#2 Fix and prune before you produce. The gap is usually your own underperforming page, not a missing article.

#3 Watch traffic. Report revenue. The share of revenue content drives or assists, and how LLMs mention you in high-intent prompts.

(top)

C3. Martin Milanov – From SEO to AEO – how AI Impressions matter for your bottom line

1.7B AI searches are being done every single day.

Trust in AI Overview went from 30% to 60% in 2026.

Almost 90% of users do not verify the AI answers.

68% of users decide to purchase products recommended by the AI.

The first answer by LLMs when prompted is now the single most important business digital real estate.

AI loves unique content:
a. We pivoted to long-form content exclusively – full guides, whitepapers & content covering the entire semantic niche;
b. We refreshed 80% of our QA and evergreen conversational content (mapped 400+ articles, refreshed 100+ QAs); (Quality Assurance)
c. We reorganized the entire blog structure and all content articles within it (1,500+ articles reorganized);
d. We constantly try to improve our structured data to increase AI crawlability and topic clarity.

AI Loves Data, So don’t be shy and share.

AIs learn about your business through the data you expose to them. Use that to your advantage.

Why Tracking Matters in the AI Era
High-quality tracking turns raw user interactions into better decisions and better AI outcomes.
– Accurate tracking feeds the client data lake with timely, high-quality behavioral and conversion data;
– Better data helps teams make faster, more confident marketing decisions;
– Richer datasets improve AI training, prediction quality, and audience targeting;
– More precise targeting lowers the cost of qualified leads and customers;
– Incomplete or noisy data weakens attribution, optimization, and model performance significantly!

Better tracking = Better data = Better decisions = Better AI value.

Client-Side + Server-Side GTM: The Best of Both Worlds
A resilient, privacy-aware setup improves data quality, enriches signals, and supports AI-ready infrastructure.
– Client-side GTM captures on-page behavior, interactions, and front-end events;
– Server-side GTM improves resilience and data quality across browsers and devices;
– Same-origin server-side tagging helps reduce data loss from ad blockers and browser ITP;
– Server-side enrichment adds CRM, ERP, and backend signals before data is sent to platforms;
– GDPR compliance is essential: consent, data minimization, governance, futureproofing and more.

Modern tracking succeeds when data quality, resilience, enrichment, and privacy work together.
(top)

C4. Panel – Q&A Session

Panel:

Moderator: Judith Lewis (Founder of DeCabbit Consultancy)

Murat Yatağan:
How to track organic non-branded traffic?
You can use a CRM to ask visitors how they heard of you. Then you can tag them and add the data to GA4. (Google Analytics 4)
Triangulation – You can focus on a single page that is relevant, and you extrapolate. For example, you take a page with a lot of traffic (percentage from total traffic of the website), like the homepage, analyze for branded traffic, and extrapolate the traffic to the whole website.

Dawn Anderson:
How to track organic non-branded traffic?
You could also use data from Google Search Console.

Martin Milanov:
Is there a causation between content and increased revenue?
There is such a need for new content that you cannot go wrong by removing old, irrelevant content, or refreshing it.

Dawn Anderson:
Is there a causation between content and increased revenue?
Prune away because no one is interested in yesterday’s news.

Purna Virji:
People want to do what makes them look good in front of their bosses.

Murat Yatağan:
Listen to your clients and tailor your findings to their perspective.

Murat Yatağan:
If content converts or has contributed to assisted conversions, that is content that is meant to be refreshed.
No conversions? Delete it.
Also, look at backlinks – don’t delete content that has a lot of backlinks.

Dawn Anderson:
If something is temporal with very low value – consider removing it.
Programmatically delete after a while.
If something is very seasonal, consider if it’s still relevant.

Purna Virji:
If it’s a one-paragraph answer, consider also removing it.

Martin Milanov:
Context matters. Adjust your decision to the specific situation of your website.

Dawn Anderson:
Favorite tool?
I love Google Search Console. It’s free and gives a lot of information.

Murat Yatağan:
Agree with GSC. The fundamentals are the most important.
Also Google Analytics 4.
You shouldn’t use tools from where you don’t drive insights.
Don’t use everything for the sake of using it.
(top)

D. The Future of AI, SEO & Marketing

(top)

D1. Andrea Volpini – Agent-Oriented Ontology Engineering: The Operating Engine of Neuro-Symbolic Agents

Zero-click does not mean zero-search.
It may mean more search. The searching is done by the machine.

One question becomes many searches.
More reasoning doesn’t remove search. It decides what to search, where — and when it has searched enough.

Better retrieval made the model smarter.

Finding costs more than reading.

Search has a price. Memory sets it.

SEO is bigger than it has ever been.
There is just no longer one machine.
Making meaning legible to a machine at its own level of abstraction.
From a human choosing your result to a machine choosing your evidence.

An ontology is a map with a legend.
Rome carved its map in marble: every building drawn, and named. The drawing is the map. The names are the legend.

AOOE turns the map into an engine.
The shape of the software in agentic AI is a rule book.

One open memory. Many agent runtimes.
The graph stays.
The runtimes come and go.

It doesn’t look for your page.
It resolves your place.

You cannot compute one from the other — but schema:hasMap lets you assert it.
The entity itself becomes the interface.

Identity alone is not understanding.
An ontology describes the world. AOOE connects that knowledge to actions, permissions, and verification.

Zero hallucinated policy terms in AI Overviews.
(top)

D2. Yagmur Simsek – Beyond Keywords: Building Intent-Driven Content with AI, SERPs & Real Teams

The unit – Keyword to question;
The win – ranking to names / cited;
The team – writers > AI drafts + strategist + expert signs.

Five takeaways
1. Read: Keywords hide intent. SERPs and AI answers show you what the searcher actually wants.
2. Build: AI does the digging; people do the deciding. Accuracy and trust are a team sport.
3. Earn: Be the page the answer is built from: entity, structure, evidence, rendered HTML.
4. Echo: AI repeats what others say about you. Digital PR on pages AI already reads moves the answer.
5. Measure: Beyond rankings and clicks: AI visibility, citations, share of voice, prompts owned.

Ranking first is no longer the finish line
−58% clicks on the #1 result when an AI Overview shows Ahrefs, 300,000 keywords, Dec 2025 vs Dec 2023
So the question changes from “where do we rank?” to “are we the answer, and does the answer name us?”

The Rain Cycle framework focuses on answering the need rather than just the word through five sequential steps: first, to Read by understanding what the searcher really wants through an intent brief; second, to Build accurate content with a name on it by determining who writes and checks it; third, to Earn trust by ensuring a machine can read and trust the page via own-site citations; fourth, to Echo the message through off-site citations and mentions by seeing who else is saying our name; and fifth, to Measure if the answer changed using the next brief. Ultimately, what Measure finds becomes the next Read to restart the cycle.

Step Ask Do Output Measure
01 Read What does the searcher really want? Read the SERP and the AI answer; map the sub-questions An Intent Brief Questions mapped to pages
02 Build Who writes it, who checks it? AI drafts, strategist decides, expert signs A page with a name on it Errors caught before publishing
03 Earn Can a machine read and trust it? Answer first, one job per page, facts in the HTML Own-site citations Citation rate of your pages
04 Echo Who else is saying our name? Place explainers where AI already reads Off-site mentions Lift in answers that cite them
05 Measure Did the answer change? Fixed prompt set, per engine, every month The next brief Visibility, share of voice, prompts owned

 

The question What they want What AI tends to cite Your lever
„What is X?” A definition Reference guides Your own guide, answer first
„Best X for Y?” A shortlist Reviews and ranked lists (listicle posts) PR, and repair the lists AI already reads
„X near me” A place Maps, directories, reviews Local signals, Business Profile
„Does X work?” Proof Studies, explainers, news An off-site explainer with statistics
„X vs Y” A decision Comparison articles Comparisons off-site; facts on-site

AI can draft. A named expert has to check and sign. Accuracy is a team sport.

The process flows across three lanes where the handoffs matter more than the tools. First, AI pulls data from Search Console, Ahrefs, AI visibility tools (like GeoGenie and Waikay), and People Also Ask, clusters queries by intent, maps each URL to one job, and drafts the brief. Next, the Strategist takes over to judge the intent, choose or kill a page, set the angle, and pick the publisher. Finally, the Brand expert reviews product truth and claims, applies brand rules, performs a human edit, and signs off with a name on it.

Search ‘n Stuff Plus
(top)

D3. Panel – Q&A Session

Panel:

Moderator: Sante J. Achille (Search Marketing Specialist)

Yagmur Simsek:
I try to talk to the client at the beginning of the month and see if we can align the objectives of the first/second half of the year with the objectives of the month. It’s best to have clear expectations from the beginning.

Andrea Volpini:
I would start with capabilities – what the AI agent can/should do and work from there.
What is the capability? You want this product to be sold directly to an AI agent, or you want the person to go to checkout?
Capabilities are the thing to focus on, currently.

Sante J. Achille:
I advise you to learn how natural language processing works.
How words become numbers – learn.
You can get to a good result without having too many technological means.

Federico Rebeschini:
Traffic is gone.
(meaning -> it is reducing)

Andrea Volpini:
Neuronpedia
Try to understand it.
A very beautiful world.

Federico Rebeschini:
To recommend to anyone on how to use AI – improve technical skills.
I asked Claude to build a mobile app. I was able to do this after many iterations.
AI gave me superpowers.

Yagmur Simsek:
You may want to play with your own website and test it.
It will make you more familiar with the things you are doing.
On your website, the power is yours.

Federico Rebeschini:
About paid ads, even the paying customers tend not to know exactly what happens with their ads.
(top)

III. Some FAQs about the event (frequently asked questions)

Why attend SERP Conf.?

In 2021, we created the first-ever European SEO conference that took place in Bulgaria – SERP Light Conf. It was attended by famous names from the industry and representatives of huge businesses like Google, Semrush and many others.

The next step in the development of the Bulgarian business was the creation of the live event SERP Conf., which aims to unite the SEO community in Bulgaria and respect the foundations laid more than 10 years ago and the efforts for the development of the Bulgarian business in the SERPs.

What makes SERP Conf. unique?

We focus on practical strategies, valuable connections, and real-world solutions – no fluff, just actionable insights.

Who was the event for?

If you work in SEO, digital marketing, advertising, e-commerce, business development, or run your own business, this event provides you with valuable knowledge and networking opportunities.

Partajează pe WhatsApp

6 comentarii la „Follow-up: SERP Conf. Rome 2026 – Where SEO, E-Commerce & AI Meet in the Heart of Italy (October 16, 2026, Nazionale Spazio Eventi, Italy)”

  1. Pingback: Follow-up: SERP Conf. Sofia 2026 - guest post by Mihnea Beldescu (Inter Expo Center, Sofia, Bulgaria, 2026.03.25) - Lumea SEO PPC
  2. Pingback: Follow-up: SERP Light Conf. 2021 (online - 2021.10.20) - Lumea SEO PPC
  3. Pingback: Follow-up: SERP Conf. 2023 (Sofia, Bulgaria - October 12, 2023) - Lumea SEO PPC
  4. Pingback: Follow-up: SERP Conf. Sofia 2024 (2024, 18 & 19 April, Sofia - Bulgaria) - Lumea SEO PPC
  5. Pingback: Follow-up: SERP Conf. - Eastern Europe Conference (Inter Expo Center, Sofia, 2025.03.25) - Lumea SEO PPC
  6. Pingback: Follow-up: SERP Conf. 2024 (Vienna, Austria, 2024.10.30) - Lumea SEO PPC

Lasă un comentariu

Reguli pentru cei care lasă comentarii »