Does AI-driven traffic actually work? How to increase traffic and conversions using AI chats
Author: Nataliia Pronina
2026-07-27

Client
A network of private clinics offering a full range of medicalservicesOur goal
Leverage the opportunities offered by AI-powered chatbots and virtual assistantsto grow the clinic network’s website by aligning content with modern searchtrends, using AI chats as a traffic acquisition channel, and increasing userengagement. Objective — keep up with the market, use new technologieseffectively, and create additional entry points for potential patients.Initial data and project details
Niche: Private clinic Region: Kyiv Primary search engine: Google CMS: WordPress Promoted by Aweb: 4 years and 8 months Testing launch: Analysis and proposals were developed in March2025 with implementation starting as early as April 2025. Project details at the start of testing: According to a customGoogle Analytics report tracking AI-sourced traffic for the period of March1–31, 2025, the following findings were observed:- over 100 sessions;
- over 90 active users;
- ChatGPT was the primary source of traffic.
Strategic approach by Aweb
1. Analysis and Reasoning At the research phase, Aweb evaluated how AI responds to popular medical queriesand discovered that the client’s brand was already appearing in ChatGPT answers,even without AI-focused optimization. Important note: The data below represents the current state of the analysisas of March 2025. As AI continues to evolve, the format of AI-generatedresponses may change. All queries were run in Incognito mode to ensure unbiased results. Sample queries: «Can you suggest a gynecologist in Kyiv?» — ChatGPT generated alist of doctors with active links. Aggregators such as doc.ua and likarni.comranked first, followed by physicians from private clinic websites. One of thecited sources was a FAQ page titled “Best Gynecologists in Kyiv,” highlightingthe effectiveness of clear titles and structured rankings.
When the same query was run in a new chat, ChatGPT selected a broader list ofdoctors from doc.ua while still including private clinics.
Similar results were observed for other queries, such as phlebologists. In onecase, AI suggested clinics, while in another it listed individual doctors usingdata from commercial pages.
Our analysis revealed an interesting insight: one of the cited websites hadrecently changed its page structure by updating the H1 and Title to the “BestDoctors [Specialty]” format. Our team noticed this change while reviewingarchived versions of a competitor’s website.
Despite limited page optimization, the Aweb client’s website was cited morefrequently in GPT responses, suggesting that concise, highly relevant contentmay outperform SEO-heavy pages.
Analysis summary:
- Structured FAQs and list-based formats (tops/rankings) consistently performwell in AI-generated responses;
- Even without large-scale page optimization (e.g. pages without backlinks,well-structured texts) it is absolutely possible to be mentioned in ChatGPT —highlighting the importance of clear titles and a logical contentstructure;
- Concise and relevant content proved to be more efficient than pagesoverloaded with SEO-phrases.
2. Recommendations for AI traffic optimization of the client’swebsite
Based on these insights, our team developed a set of solutions aimed at scalingresults and systematic use of AI traffic as an additional acquisition channel.
- scaling the “Top Doctors” format:
- lists of doctors by specialty (top gynecologists, top phlebologists inKyiv);
- niche queries (doctor + specific condition, e.g., “gynecologist forendometriosis treatment”).
- top treatment approaches (e.g., “Best methods for treating cervicaldysplasia”).
- optimizing meta tags and H1–H5 headings with a clear, clean structure(avoiding unnecessary symbols and filler wording).
- enable indexing of doctor filter pages to create relevant query combinations(e.g., “gynecologist Pozniaky,” “gynecologist for pregnancy planning”).
- designing a template for new pages and content, allowing the client to addthese pages independently.
Initial results
Effective collaboration on the client’s side allowed rapid implementation andscaling of our recommendations. Sample pages created following Aweb’s recommendations:
Results:
- Pages generally appeared in ChatGPT responses within two weeks following thepublication.
- Example of initial results: a new page being included in a ChatGPT-generatedresponse.
By late May, following two months of dedicated content work, the first measurable results appeared in Google Analytics.
- sessions increased by 30%;
- active users increased by 21%;
- events increased by 70%;
- key events increased by 12.5%.
Progress update
As we continued analyzing ChatGPT responses and refining our optimizationstrategy, the client consistently implemented updates. Within three months oftesting, the website demonstrated significant growth in key metrics compared tothe three months prior to the experiment:- The number of sessions increased by 109%;
- Active users increased by 109%;
- Events increased by 145%;
- Key events increased by 192%.
Results after five months of work
After five months of testing, the client’s website appears in nearly all ChatGPTresponses for relevant queries. Sample queries in Incognito mode (client mentions highlighted in red): 1.Query: “Can you recommend a good gynecologist in Kyiv?”:
2. Query: “Can you recommend an experienced urologist in Kyiv?”
Beyond this, the growing volume of brand mentions resulted in another positiveoutcome — a stronger clinic reputation within ChatGPT. As a result, for thequery “best clinics in Kyiv,” ChatGPT ranks the client’s clinic first andhighlights it as the most frequently chosen option.
According to Google Analytics, five months of working with AI chat platformsdelivered the following results:
- sessions increased by 258%;
- active users increased by 255%;
- number of events increased by 323%;
- the number of key events increased by 407%.
The results are reflected not only in Google Analytics metrics but also in areal feedback provided by the client. According to the client, clinic doctorsreported a growing number of patients who discovered the clinic via ChatGPT. Onesenior doctor alone saw six such patients in a single month.
Summary
Optimizing content for AI and integrating chatbots as a traffic source is areal, measurable, and promising channel for website growth. A well-structuredcombination of research, analysis, and a clear action plan drives growth insessions, engagement, and conversions while strengthening brand reputation. Why are we confident that our actions delivered results? Some may assume that the results are driven solely by the general advancement ofAI and that increased traffic from chatbots is inevitable. This is onlypartially true, as more users are turning to chat-based tools as a primarysource of information. However, we believe the results were a direct outcome of our targeted actions.This is supported by insights from other medical projects where ourrecommendations have not yet been implemented or are still at an early stage ofadoption. Example 1: A private clinic in Kyiv. Monthly organic traffic: 69,000. Data for a 1.5-month period: 137 sessions and 16 key events.
Example 2: A network of private clinics in Kyiv. Monthly organic traffic:26,000. Data for a 1.5-month period: 103 sessions and 7 key events.
Data for the client featured in this case study over a 1.5-month period: monthlyorganic traffic — 74,000; sessions — 645; key events — 70.
So, the answer is clear: yes, traffic from AI-driven sources does reachwebsites. However, the difference between projects that actively leverage AItraffic and those that don’t is significant — around 5–6x on average.