AIclicks AI SEO Visibility Guide
See how AIclicks went from almost invisible to top-5 AI visibility in 90 days using a repeatable playbook you can apply to your brand.
Starting position
AIclicks entered early 2025 with almost no presence in AI search results while competitors dominated the space. When buyers asked AI assistants for tools in their category, AIclicks rarely appeared.
The team tracked more than 300 buying-intent prompts across ChatGPT, Perplexity, and Gemini. These were prompts like "best tools for [job-to-be-done]" that an in-market buyer would realistically ask.
Using the Sources tab, they identified the URLs most often cited when AI assistants answered these prompts. Those sources fell into a few clear clusters:
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Comparison and listicle articles, which represented roughly 60–70% of buying-intent responses
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Review platforms such as G2, Product Hunt, and Capterra
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Reddit threads where practitioners discussed tools
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Competitors’ own content, which was already being cited
AIclicks’ goal was to move from under 10% coverage on buying-intent prompts to a stable, defensible presence in the top 5 results across key AI assistants, without paid placements or paid reviews.
Step 1: Track buying-intent prompts and sources
AIclicks started by defining the universe of buying-intent prompts that mattered for their category across ChatGPT, Perplexity, and Gemini.
The key patterns we found:
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Comparison and listicle content accounted for the majority of buying-intent answers
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Review platforms like G2, Product Hunt, and Capterra were recurring citations
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Reddit threads appeared when assistants summarized practitioner discussions
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Competitors’ own blogs and landing pages filled gaps where neutral sources were missing
This initial mapping gave us a concrete hit list of domains and specific URLs to influence, instead of guessing where to invest.
Step 2: Execute the playbook
At AIclicks we compressed our work into a focused 90-day campaign with a weekly review loop. The process is repeatable for any brand with similar goals.
Secure mentions in comparison and listicle articles
We prioritized the comparison and listicle pages that appeared most often across their 300+ tracked prompts. We reached out to authors of those articles with clear positioning, relevant proof points, and up-to-date product details.
Over 8 weeks, this outreach secured AIclicks mentions in 30 compariosn articles that were already being cited by AI assistants. Because those pages were pre-qualified by the Sources tab, every new mention directly increased the chances of being surfaced in AI answers.
Upgrade review platform presence
Next, we focused on review platforms that AI models already trusted: G2, Product Hunt, Capterra, and similar directories. We fully upgraded our G2 profile, tightened messaging, and systematically collected authentic customer reviews.
Within 3 weeks of improving our G2 presence and review volume, G2 pages that mentioned AIclicks began to appear in AI responses for their tracked prompts. They then repeated this play on Product Hunt, Capterra, and relevant directories, ensuring AI assistants had multiple reputable third-party sources to cite.
Contribute to Reddit and practitioner conversations
AIclicks joined relevant Reddit threads where practitioners were already discussing tools in their category. We contributed honestly and helpfully, always disclosing their affiliation instead of astroturfing.
Within 6 weeks, Perplexity started citing Reddit threads that mentioned AIclicks in responses to their tracked buying-intent prompts. These organic mentions reinforced the narrative already established through comparison articles and review platforms.
Publish answer-first content and comparison pages
In parallel, AIclicks created their own content designed to match how AI assistants structure answers. They focused on answer-first pages that addressed buying-intent questions directly, enriched them with FAQ sections, and added schema to make the structure machine-readable.
They also built competitor comparison pages that clearly articulated where AIclicks fit relative to well-known alternatives. These pages made it easier for AI assistants to contextualize the product and include it alongside incumbents in multi-tool recommendations.
Step 3: Review progress every Monday
To keep the campaign on track, the team ran a weekly Monday review loop.
Each week they:
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Re-ran their 40+ buying-intent prompts across ChatGPT, Perplexity, and Gemini
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Checked how often AIclicks appeared in responses compared to the previous week
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Looked at which sources were now being cited and which still excluded them
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Updated their outreach and content priorities based on fresh data
This cadence turned a one-off push into a controlled experiment where they could see which moves changed AI behavior and which did not.
Step 4: Keep costs low and incentives clean
Throughout the 90-day period, AIclicks kept total spend under 10,000 USD.
They focused on:
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Outreach and relationship-building with existing authors
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Improving owned profiles and content quality
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Encouraging real customers to share authentic reviews
They did not pay for placements in articles or directories and did not compensate reviewers. This kept incentives aligned and reduced the risk of future reversals when AI models update or platforms crack down on synthetic activity.
Result: Top-5 AI visibility in 90 days
Within 90 days, AIclicks achieved top-5 AI visibility in their category across ChatGPT and Perplexity.
Measured across their original set of more than 40 buying-intent prompts, they went from appearing in under 10% of responses to appearing in more than 70% of them. These responses typically positioned AIclicks alongside their main competitors in shortlists and tool recommendation lists.
All of this came from:
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Tight focus on the sources AI assistants already trusted
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Systematic outreach and profile improvement
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Consistent Monday reviews to adjust the plan
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Total direct spend under 10,000 USD, with no paid placements or reviews
What this means for your brand
AIclicks’ experience shows that you do not need to guess how to influence AI search results or rely on black-box tactics.
You can instead:
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Start from buying-intent prompts that matter for your category
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Use Sources to see which URLs and platforms AI assistants already trust
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Systematically get your brand represented in those sources
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Reinforce that presence with answer-first content and clear comparison pages
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Run a simple weekly review loop to measure movement and decide the next action
If you follow the same pattern — track prompts, identify sources, get onto those sources, and review weekly — you can treat AI visibility as an operational program rather than a one-time bet.