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Alskly shows how AI sees your site, where competitors win, what to fix, and how to turn visibility into revenue.
60% of AI answers cite the wrong source or misrepresent brand info. Alskly fixes your signals so AI understands, trusts, and recommends you.


52% of leading brands plan to optimize for AI search in 2027. Alskly helps your brand show up before competitors own the answers.
SEO traffic is down 15% to 25% across industries. Alskly turns lost search demand into AI visibility, qualified traffic, and revenue.

Alskly helps your brand show up accurately and own AI-driven answers first.

We turn real buyer questions into clear, source-worthy content showcasing your expertise and giving AI stronger reasons to cite you.

We strengthen structure, schema, crawlability, linking, metadata, and performance so AI understands, trusts, and recommends your brand confidently.

We connect expertise, reviews, citations, customer proof, and trusted third-party references into authority signals that buyers and AI trust.

We track visibility, accuracy, qualified AI traffic, and conversions to show which recommendations drive real leads, sales, revenue, and growth.


Researched by our team, built specifically for your brand, and completed without automated AI audit tools.
Answer Engine Optimization improves how accurately and often your brand appears in AI-generated answers. GEO, or Generative Engine Optimization, is a widely used name for the same emerging discipline. Both focus on helping answer engines understand, trust, cite, and recommend your brand.
SEO focuses primarily on rankings and clicks from search results. AEO focuses on whether answer engines can understand your brand, use credible sources to validate it, and include it in the answer or shortlist. The strongest strategy connects both because search visibility, site authority, structured data, content quality, and third-party credibility influence each other.
More buyers are asking AI to research options, compare companies, summarize products, and recommend providers before they visit a website. If your brand is absent, inaccurately described, or unsupported by trusted sources at that stage, competitors can enter the buying decision before your sales team ever sees the opportunity.
We focus on the platforms most likely to influence your buyers, including ChatGPT, Google AI Overviews, Gemini, Perplexity, Microsoft Copilot, and other relevant answer experiences. The exact platform mix is shaped around your market, audience, and commercial priorities.
It is a five-day, brand-specific research and strategy engagement. We test your current AI visibility, audit the signals answer engines use, compare your brand with visible competitors, identify the reasons you are being overlooked, and turn the findings into a prioritized roadmap for improving visibility, trust, recommendations, and commercial outcomes.
We move through five focused stages: visibility testing, signal auditing, competitor analysis, roadmap development, and delivery. The five-day research window begins once the scope and required inputs are confirmed, allowing our team to investigate the market before forming recommendations.
We review the website page by page, content and technical structure, schema, entity clarity, authority signals, citations, reviews, brand mentions, customer proof, third-party references, relevant search results, answer-engine responses, competitor visibility, and the conversion paths visitors use after discovering the brand.
No. Automated tools can collect surface-level signals, but they cannot reliably judge buyer intent, competitive positioning, source credibility, proof, commercial opportunity, or the quality of an AI recommendation. Alskly researchers test, compare, interpret, and prioritize the findings manually. Tools may support evidence collection, but they do not write the strategy.
You receive a custom AI Visibility Assessment covering current findings, answer-engine visibility, competitor gaps, priority issues, opportunity areas, and recommended actions. Alskly also walks your team through the strategy so stakeholders understand what to fix first, why it matters, and what success should look like.
The value comes from the depth of senior research and strategic thinking, not from the length of a report. Your team receives the same foundational visibility research, competitor intelligence, signal analysis, opportunity prioritization, and roadmap development normally completed at the beginning of a full Alskly engagement. It can prevent months of scattered content, technical, and authority work aimed at the wrong problems.
Alskly is offering a limited number of complimentary assessments to build relationships with serious brands, demonstrate the depth of our work before asking for a larger commitment, and identify companies where AEO can create meaningful commercial impact. We are investing the normal $5,000 of strategy value in selected brands; this is not a reduced-scope template or automated lead magnet.
Each assessment requires concentrated research and senior strategy time. Limiting availability protects the quality of the work, gives our team enough time to investigate each brand properly, and ensures the complimentary version receives the same attention as the assessment offered at its standard value.
The strongest fit is an established brand with a meaningful product or service, identifiable competitors, real buyer demand, and a team prepared to act on the findings. We prioritize companies where answer-engine visibility can influence qualified demand, sales opportunities, bookings, or revenue, not brands looking only for a generic score.
Your team can use the roadmap internally, share it with existing partners, or ask Alskly to scope implementation. If there is a strong mutual fit, we can help execute content, technical, authority, citation, website, conversion, and measurement priorities. The immediate goal is clarity: what to fix, in what order, and why.
We only request information relevant to the agreed assessment and treat non-public materials as confidential. Any need for account access, analytics, or sensitive internal context is discussed before it is shared so your team remains in control of what Alskly can review.