Comparison
GEO vs SEO: Do You Need Both?
SEO earns your pages a place in search results. GEO works on what an AI assistant says when a buyer asks about your category. Most companies need both, and GEO needs its own work and its own measurement.
What changes when the answer is a paragraph
A search results page gives a buyer ten links and leaves the comparison to them. An AI answer does the comparison. Ask ChatGPT or Google AI Mode for the best expense software for a 40-person startup and you get a paragraph that names three vendors, gives each one a short description and tells you what to weigh when choosing.
That paragraph is built from claims: "the budget pick," "the fastest to set up," "gets expensive past 50 seats." It also names buying criteria, such as cost at your size or how well it connects to your accounting system. The buyer reads the claims, adopts the criteria and builds a shortlist before visiting a single vendor site.
So the question moves from where you rank to what is said about you. A vendor can appear in every answer and still lose if a competitor's framing decides which criteria matter. The unit of work in GEO is the claim: which ones AI repeats, where they most likely came from and which ones you can change.
What carries over from SEO
AI engines retrieve from the web, so the technical base is the same. Pages need to be crawlable and indexed, with key content rendered as HTML and AI crawlers allowed where you want them.
Clear, specific pages still win. A product page that states a claim with a number, a named source and a date helps a searcher and gives an AI engine something concrete to repeat. Teams with solid SEO start GEO with this part already in place.
What doesn't
Rankings and clicks do not describe an AI answer. Neither do mention counts, the metric many AI visibility tools report first. Being named tells you that you appear. Claim adoption tells you whether the answer repeats your framing, and criteria ownership tells you whose terms the buyer uses to decide.
The sources also widen. Much of what AI says about a vendor comes from pages the vendor does not own: threads, posts, reviews, lists and articles. Changing a claim often means changing those sources, which on-page SEO does not reach.
Side-by-side comparison
| Factor | SEO | GEO |
|---|---|---|
| Goal | Rank pages for the searches your buyers run and earn the click | Get AI answers to state your claims and judge the category by your criteria |
| Unit of work | A page targeting a keyword or topic | A claim, plus the evidence and sources that hold it up |
| What's measured | Impressions, rankings, clicks and conversions | Claim survival, claim adoption, criteria ownership and fragility on a fixed panel of buyer questions |
| Sources that matter | Your pages, links pointing to them and the other pages in the results | Your site plus Reddit threads, LinkedIn posts, reviews, lists and publications the engines read |
| What you control | Your own site; you influence links and rankings | Your own site and your experts' posts; you influence third-party sources |
| Time to results | Months, depending on site, topic and competition | Leading signals in the first month; claim adoption usually starts to move around month four |
Where Reddit and LinkedIn fit
Claims about a category often form in public conversation before they reach an AI answer. On Reddit, buyers ask for recommendations and practitioners answer with specifics, and those threads show up in both search results and AI citations. For professional and B2B questions, LinkedIn plays a similar role: executives and operators describe what worked and why, and engines cite those posts.
Neither channel is the whole job. We trace the likely sources behind each claim first, then decide where your experts should contribute. When a thread or post is worth joining, your own people post from their own accounts with their affiliation disclosed. We research, brief, draft and review.
How Index & Thread measures GEO
We run a fixed panel of buyer questions across several AI engines, several times each, because answers vary from run to run. The Category Claim Map sets the baseline, and every later report uses the same four numbers.
Claim survival
When AI summarizes us, what's left?
Each of your claims is scored kept exact, paraphrased, distorted or dropped in the AI's answer, then combined into a score out of 100.
Claim adoption
Is AI repeating our framing?
The share of answers to your buyer questions that state a target claim in substance, by engine, on a four-week rolling average.
Criteria ownership
Who decides how buyers judge the category?
Of the buying criteria AI answers name, the share that match your framing versus each competitor's.
Fragility
Which claims can we move?
How few sources hold a claim up, how old they are and how much it varies between runs. Fragile claims are the cheapest to change.
Keep your SEO reporting alongside these. Search visibility and visits tell you whether buyers reach your site, and the claim metrics tell you what AI told them about your category first.
Frequently asked questions
What is the difference between GEO and SEO?
SEO works to rank your pages in search results so buyers click through. GEO (generative engine optimization) works on the paragraph an AI assistant writes in answer to a buyer's question: which claims it makes about your category, which buying criteria it names and whose framing it follows.
Should I replace SEO with GEO?
No. AI engines retrieve from the web, so crawlable, indexed pages with clear information remain the base for both. GEO adds work SEO does not cover: tracking the claims AI repeats and changing the third-party sources those claims come from.
Is counting brand mentions in AI answers enough?
Mentions tell you whether you appear. They do not tell you what the answer says about you. A brand can be named in every answer and still lose the shortlist because a competitor owns the criterion buyers use to decide. That is why we measure claims and criteria.
Does GEO mean posting on Reddit?
Not necessarily. Reddit threads are one common source, and LinkedIn is another for professional and B2B questions. Depending on the category, review sites, lists, publications or your own pages may matter more. The Category Claim Map shows which sources are most likely behind each claim.
How do you measure GEO?
We run a fixed panel of buyer questions across several AI engines, several times each, and record every answer, claim and cited source. Each report uses four numbers: claim survival, claim adoption, criteria ownership and fragility. Neither these nor SEO metrics prove a sale on their own.
See what AI keeps from your positioning
The Compression Test shows which of your claims survive when an AI assistant compares you with competitors, and who sets each buying criterion. It is free.