Your SEO agency is optimizing for a game that ended in 2024.
They’re still chasing rankings. Meanwhile, 58% of searches end with zero clicks. 65% end with no site visit at all. The AI answered the question at the top of the page and the buyer moved on.
Your competitor was in that answer. You weren’t. The buyer never compared. They just went with the name the AI gave them.
That’s happening on every high-intent query in your category. Today. This hour.
Do the math on what that costs you.
- Pick your best keyword. The one that used to make the phone ring.
- Assume 60% of the people searching it never click a link, because the AI told them what they wanted to know and picked a name for them.
- Multiply what’s left by your average customer value.
That’s the number your current SEO invoice is really costing you.
The buyers who still click, compare, and call are the ones who haven’t figured out how to ask an AI yet. That pool shrinks every quarter.
Traditional SEO isn’t dead. It’s demoted.
Top-10 rankings used to be the finish line. Now they’re the entry ticket. The AI has to see you to consider you. Then it has to trust you enough to name you.
Trust gets built in a specific way. Direct answers at the top of every page. on every question. Entity markup that ties your brand to Wikipedia and Wikidata. Cited specifics instead of hedge language. Authors the machines can verify.
Most sites do none of this. Your site probably does none of this. That’s your opening.
What we do
Three disciplines. Run as one system.
SEO
Technical health, site architecture, , backlinks, E-E-A-T. Without this, nothing above it works. Answer engines still lean on Google to source content in the first place.
AEO
Direct answers at the top of every page. FAQPage schema on every Q&A. Entity clarity through schema and sameAs links. Cited specifics. Everything an answer engine looks for when it decides which source to lift into an , a ChatGPT reply, or a Perplexity citation.
GEO
, brand consistency across the sites the models retrieve from, structured proof that ties your brand to the topics you want to own. This is how generative models learn who you are, not just what you posted last week.
Three angles. Same trust signals. Your buyer doesn’t care which engine surfaced you. They care that one did.
How we measure it (so a CFO can read it)
Ranking screenshots don’t count anymore. When an AI names your brand, the buyer often never clicks. The is the outcome. We track three things.
Citation frequency
How often your brand gets named across the AI engines that matter for your category. Tracked weekly.
Share of voice
Where you appear relative to competitors. Rising share of voice against a named competitor is the leading indicator this is working.
Brand-search velocity
Search Console impressions on your brand name. When AI mentions you, buyers Google the brand to verify. Shows up here weeks before any organic-search shift.
This is for you if
- You depend on organic visibility for growth
- You compete in a crowded or high-intent market
- You care about revenue, not impressions
- You want compounding results, not sugar highs
- You’ve been burned by an agency selling vanity metrics
This is not for you if
- You want instant wins with no changes
- You only care about keyword rankings
- You want set-it-and-forget-it SEO
- You aren’t willing to adapt to where search is going
If any of the second list is you, don’t book the call. It’ll waste both our time.
Common questions
How long until I see results?
Direct-answer format and FAQ schema can show up in AI Overview within 4 to 8 weeks for pages already ranking in Google’s top 20. Entity authority takes 3 to 6 months. From zero, plan on 6 to 12 months for meaningful citation frequency.
Do I still need traditional SEO?
Yes. sits on top of SEO, not instead of it. Answer engines still lean on Google’s ranking systems to find content. Ranking well is table stakes now, not the finish line.
Which AI engines should I optimize for first?
Google AI Overview, by a wide margin. ChatGPT next. Perplexity and Claude matter less by volume but more by intent. Optimize for AI Overview first. The others usually follow because the structural work overlaps.
How do I know it’s working if there’s no click?
Standard analytics won’t catch it. Track AI citations with a purpose-built tool. Watch citation frequency, share of voice against competitors, and brand-search volume in Search Console. Rising brand searches with flat clicks means it’s landing.
Can I do this myself?
The structural work is doable if you write your own content and can edit HTML. The heavy lift is entity authority and consistent E-E-A-T signals over time. Most operators don’t want to build that themselves. If you have time and a technical bent, DIY. If you want speed, hire.
What’s GEO vs AEO?
Answer Engine Optimization gets you cited when an engine synthesizes a reply. Generative Engine Optimization influences how models learn and reference your brand. Same tactics, mostly. Siblings, not rivals.
What is AI optimization and how does it differ from SEO?
AI optimization is the practice of making your website work for AI-powered answer engines like Google’s AI Overview, ChatGPT, Claude, and Perplexity, not just for traditional Google search. SEO is about ranking in a list of blue links a user clicks through. AI optimization is about getting cited as the source of a synthesized answer the user reads directly. The two overlap on trust signals and schema, but content structure diverges. AI optimization favors direct answers, FAQPage schema, and cited specifics over long-form ranking content.
How do I get my website cited in AI Overviews?
Structure your content the way answer engines want to lift it. That means a direct answer in the first 60 to 100 words of every page, FAQPage schema around any question-and-answer block, entity clarity through schema markup and sameAs links to Wikipedia or Wikidata, and specific facts (numbers, dates, sources) instead of hedge language. Cite your sources. Signal who wrote it. Make the extraction easy.
Do I still need traditional SEO if I’m doing AI optimization?
Yes. AI optimization is a layer on top of SEO, not a replacement. Answer engines still rely heavily on Google’s ranking systems to source content, so traditional SEO signals (technical health, backlinks, topical authority, E-E-A-T) still matter for whether an engine ever sees your page in the first place. The change is that ranking well is now table stakes, not the finish line.
Which AI answer engines matter most for a small business?
Google’s AI Overview covers the biggest slice of search traffic by far, so it’s the priority. ChatGPT is second. A growing share of people ask ChatGPT questions they’d have Googled a year ago. Perplexity and Claude matter less by traffic but more by intent, since the users who reach them tend to be higher-intent researchers. Optimize for AI Overview first, and the other engines usually come along because the structural work is similar.
How long does AI optimization take to show results?
Faster than traditional SEO but not overnight. Direct-answer format changes and FAQPage schema can start showing up in AI Overview within 4 to 8 weeks for pages already ranking in Google’s top 20. Building entity authority (glossary, entity pages, E-E-A-T signals) takes longer, closer to 3 to 6 months. If you’re starting from zero authority, plan on 6 to 12 months to see meaningful citation frequency.
Can I do AI optimization myself or do I need an agency?
The structural work is straightforward if you already write your own content and can edit HTML. Add a direct answer at the top of each page, drop in FAQPage schema, and wire up basic entity markup. The heavy lift is entity authority and consistent E-E-A-T signals, which take time and a topical map most small businesses don’t want to build themselves. If you have time and a technical bent, DIY. If you want speed, hire.
What’s the difference between GEO and AEO?
Answer Engine Optimization (AEO) focuses on getting cited when an answer engine synthesizes a reply. The citation showing up next to the AI Overview answer, or in the sources panel in Perplexity. Generative Engine Optimization (GEO) focuses on how generative models learn from and reference your brand in their training and retrieval. The two overlap heavily in practice. Most tactics that work for one work for the other. Treat them as sibling disciplines, not competing ones.
How do I measure AI optimization results?
Standard analytics won’t catch it. By design, a cited answer usually doesn’t drive a click. Track AI mentions directly using a purpose-built tool. Look at citation frequency across engines, share of voice against competitors, and correlated brand-search volume in Google Search Console. Rising brand searches with flat clicks usually means the AI optimization is working.