AI SEO Agency
AI SEO that gets cited by ChatGPT, Perplexity, AI Overviews.
Citation tracking in real AI answers. llms.txt, entity schema and topical authority for the engines actually reading your site.
- Prompt audit across ChatGPT and Perplexity
- llms.txt + entity schema for AI parsing
- Monthly AI visibility tied to referrals
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Blue-link rankings are losing clicks every quarter.AI Overviews and chat answers now sit on top of them.Get cited, or stay invisible.
Blue-link rankings are losing clicks every quarter. AI Overviews and chat answers now sit on top of them. Get cited, or stay invisible.
LASEO is an AI SEO agency built for the generative search era. We measure where ChatGPT, Perplexity, Bing Copilot and Google AI Overviews already cite your competitors, then ship the technical and editorial work that gets you cited instead. Same craft as traditional SEO, different surface area, different scorecard.
See AI visibility outcomesHow an AI SEO engagement runs
How a LASEO AI SEO engagement runs
Five distinct phases, each with deliverables you keep. Same operating rhythm as our SEO consulting: senior consultants, weekly working sessions, monthly scorecard, quarterly review.
- 01
Brand citation baseline (weeks 1-2)
Prompt audit across ChatGPT, Perplexity, Bing Copilot and Google AI Overviews. We script 100-300 buyer-intent prompts for your category and log which brands get cited per engine. Deliverable: baseline report showing your citation share, competitor citation share and untouched prompts where nobody is cited yet.
- 02
Source-of-truth audit (weeks 2-3)
For each prompt where your category is cited, we trace which sources the AI engines pull from: Wikipedia entries, Reddit threads, industry publications, comparison sites, your competitors' own blogs. Deliverable: source map showing where to earn placement and which sources to influence.
- 03
Implementation: llms.txt, schema, entity, citation-worthy content (weeks 3-12)
llms.txt at the root, JSON-LD validated against schema.org, entity markup for Organization, Person, Product, Article, FAQPage. Plus content briefs for citation-worthy assets: original research, data studies, definitive guides. Shipped as Git PRs, your engineers merge.
- 04
Authority asset production (ongoing)
We commission and ship one to three citation-worthy assets per quarter: original research with primary data, data studies, expert-positioned reference content. The work LLMs cite because there is nothing else to cite. Distributed to the source-map publications identified in step two.
- 05
Monthly AI visibility scorecard (ongoing)
Single-page report tracking citation share across the four AI engines, GSC AI Overview impressions, referral traffic from AI engines in GA4, and prompt-level wins and losses since last month. Sent to your leadership the second working day of every month.
Think of us as yourfractional Head of AI Visibility.
We sit between your CMO, your content team and your dev team. Strategy that targets specific prompts your buyers run in ChatGPT and Perplexity. Implementation that ships llms.txt, entity schema and citation-worthy assets to production. Monthly scorecards that show which AI engines now cite your brand and which still cite the competition.
AI SEO, GEO and AEO all describe the same thing from different angles: optimising for generative engines that answer questions rather than list links. The work that earns citations in ChatGPT and Perplexity overlaps heavily with traditional SEO. The measurement does not.
AI SEO vs traditional SEO
Same authority signals, different surface. Topical depth, entity clarity, structured data and external citation graph drive both. AI SEO adds llms.txt, training-data presence and prompt-level measurement to the existing technical and content stack.
AI Overviews, ChatGPT, Perplexity, Bing Copilot
Four different engines, four different citation patterns. Google AI Overviews lean on featured-snippet sources. Perplexity favours fresh authoritative pages with clear structure. ChatGPT mixes training data with browse-mode citations. Bing Copilot pulls heavily from Bing's index. Each needs its own prompt-audit lens.
Citations vs rankings
A blue-link ranking gives you clicks if the user scrolls past the AI Overview. A citation inside the AI Overview itself gives you brand visibility even when the click never happens. Both matter; the ratio is shifting toward citations every quarter.
Training-data presence (Common Crawl, Wikipedia, Reddit)
ChatGPT and Claude know what was in their training corpora. Common Crawl, Wikipedia and Reddit are heavily represented. Earning a clean Wikipedia entry, being cited in long-running Reddit threads and writing reference-grade content on your own site builds presence in the next training cycle.
llms.txt is real, deploy it
llms.txt is a plain-text file at your root that tells AI engines which content matters and how to find it. It is not yet a confirmed ranking signal in any engine, but Perplexity and a handful of others read it, the spec is open and stable, and the cost of deploying it is one Git PR. Ship it.
AI SEO pricing reality
Standalone AI SEO retainers in Europe run EUR 4,000-12,000 monthly depending on prompt-tracking scope and asset production. As an add-on to an existing SEO retainer it usually adds EUR 2,000-5,000 monthly. Anyone selling AI SEO below EUR 2,000 is selling prompt-engineering, not citation work.
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Why LASEO vs alternatives
AI SEO compared honestly
Traditional SEO agencies, prompt-engineering shops, in-house teams and AI tooling vendors all touch this space. Here is where LASEO fits and where it does not.
Half the picture, sold as the whole picture
- Traditional agencies still report rankings only. Prompt shops show you screenshots of ChatGPT answers but cannot quantify share across engines or over time.
- Traditional SEO agency: solid schema and technical, no llms.txt or entity strategy for AI. Prompt shop: zero ability to ship code to your repo.
- Blog posts targeting keyword volume. No view on what AI engines will cite versus what just ranks for a thinning keyword.
- Traditional agencies do link building for rankings. Prompt shops do nothing here. Neither maps where AI engines source answers for your category.
- Either a generic SEO suite, or a thin prompt-tester subscription. Rarely both, never integrated into one report.
- Traditional agency tucks AI into an existing retainer with no separate measurement. Prompt shops sell hours of generic ChatGPT advice.
SEO craft, AI surface, one team
- We measure citation share across ChatGPT, Perplexity, Bing Copilot and Google AI Overviews on 100-300 prompts monthly. One scorecard, one number per engine, tracked over time.
- llms.txt deployed, entity schema validated, structured data tuned for AI parsing. Shipped as Git PRs that your engineers review and merge.
- Authority assets engineered to be cited: original research, data studies, expert positioning. Briefed against the actual prompts your buyers run in AI engines.
- Source-of-truth audit shows exactly which publications AI engines cite for your category, with a contact map for digital PR placement and Wikipedia, Reddit and reference-site presence.
- Perplexity API, ChatGPT and Claude prompt testing, SerpApi for AI Overview tracking, SEMrush AI Overview impressions, GSC, GA4. One integrated stack feeding one scorecard.
- Committed senior hours per month, prompt-tracking scope agreed upfront, hour log shared monthly. You can audit where every hour and every citation was spent.
Topical cluster
Services we deliver in this pillar
AI SEO engagements at scale
AI visibility work that moved real revenue
What our AI SEO clients say
AI visibility in their own words
Six months in, Perplexity now cites us by name on 38 of the 60 buyer prompts we track in our category. Before LASEO that number was four. Sales meetings literally open with 'I asked ChatGPT about you' now.
Their scorecard tells me exactly where we are getting cited and where the competition still owns the prompt. No other agency we spoke to even attempts to measure that. Our CMO reads the one-pager in five minutes.
llms.txt, entity schema and three original research pieces in the first quarter. Two of those research pieces are now cited by Bing Copilot on category-defining prompts. That is concrete brand visibility we never got from blog volume.
Six months in, Perplexity now cites us by name on 38 of the 60 buyer prompts we track in our category. Before LASEO that number was four. Sales meetings literally open with 'I asked ChatGPT about you' now.
Their scorecard tells me exactly where we are getting cited and where the competition still owns the prompt. No other agency we spoke to even attempts to measure that. Our CMO reads the one-pager in five minutes.
llms.txt, entity schema and three original research pieces in the first quarter. Two of those research pieces are now cited by Bing Copilot on category-defining prompts. That is concrete brand visibility we never got from blog volume.
Less different than the loudest voices suggest. The authority signals that put a page in a ChatGPT answer or a Google AI Overview overlap heavily with the signals that rank a page in classic search: topical depth, entity clarity, structured data, external citations. What is new is the surface area and the measurement. AI SEO adds llms.txt, entity schema tuned for generative engines, training-data presence work like Wikipedia and Reddit, and prompt-level citation tracking across ChatGPT, Perplexity, Bing Copilot and Google AI Overviews. If your traditional SEO is weak, your AI SEO will be weak. The two compound, they do not replace each other.
AI visibility audit
Find out where AI enginesalready cite your competitors.
30 minutes with a senior LASEO consultant. We will run live prompts across ChatGPT, Perplexity, Bing Copilot and Google AI Overviews for your top three buyer queries, show you who is getting cited, and tell you whether we are the right partner to change that.
