The most common question we hear after someone starts paying attention to GEO is some version of this: "I fixed my Business Profile, I added schema, I've been asking for more reviews. It's been a few weeks. Am I doing this right?"
The honest answer is: probably yes, and you won't see the results yet. GEO does not work like running an ad. There is no immediate feedback loop. The signals you are building take time to be discovered, indexed, cross-referenced, and weighted by AI engines. Most people expect something to happen in two weeks and then conclude it isn't working when nothing visible has changed.
Why GEO results take time
To understand the timeline, you need to understand what AI engines are doing when they decide whether to cite your business.
They are not checking a leaderboard that updates in real time. They are drawing on a picture of your business assembled from dozens of sources: your GBP, your website, review platforms, directories, third-party mentions, schema data, and the consistency between all of those. That picture takes time to build and time to update after you change something.
When you fix your GBP services section, Google has to re-crawl and re-index the change. When that change shows up in third-party data mirrors, those sources have to be re-crawled too. When an AI engine's retrieval system reads those updated sources, it has to incorporate them into its picture of your business. Depending on the engine, this cycle takes anywhere from a few days (Perplexity, which does live search) to several weeks (training-data-heavy engines like ChatGPT).
Third-party mentions take even longer because they depend on actions outside your own platforms. A press mention has to be written, published, indexed, and then read by an AI engine's retrieval system. A new directory listing has to be verified and propagated. A review has to be posted, responded to, and incorporated into the engine's review signal model.
None of this is a reason to wait before starting. It's a reason to start early and measure patiently.
Month by month: what happens and what to measure
The first 30 days
Building the foundation
You complete your Google Business Profile, fill in the services and Q&A sections, fix your hours, and add recent photos. You run a NAP audit and find the worst inconsistencies across Yelp, Facebook, and your top directories. You fix them. You add or update LocalBusiness schema on your website. If you have service pages, you add FAQ sections.
None of these changes show up immediately in AI citations. What they do is remove the friction that was causing engines to skip you. Before this work, AI engines were looking at your business and finding gaps or inconsistencies that made you a risky recommendation. After this work, they find a clean, coherent picture.
What to measure
Do not measure AI citations yet. Measure completeness. Confirm every GBP section is filled in. Confirm your NAP is consistent across your five most important directory listings. Confirm schema is present and valid using Google's Rich Results Test. If these three things check out, the foundation is in place.
Days 30 to 60
Early signals
Perplexity and Google AI Mode begin reflecting your updated GBP and schema data. If you fixed serious errors in this period (wrong primary category, completely missing services, significant NAP conflicts), you may start appearing in queries where you were previously absent. If your foundation was mostly intact before and you made incremental improvements, the movement will be smaller.
This is also when review momentum starts to matter. If you set up a review ask process in week one, you may now have 5 to 15 new reviews. That is not transformative yet, but it is a signal the engines can see changing.
What to measure
Run the visibility check again using the same five queries across the same five engines you tested at the start. Look for two things: are you appearing in queries where you were completely absent before, and has your competitor citation rate changed relative to yours? Small movement in the right direction at 60 days is a good sign. No movement at all is a signal to check whether your foundation fixes actually took, not a signal to abandon the strategy.
Days 60 to 90
Review momentum and content signals
If you have been consistently asking for reviews, you may now have 20 to 40 new reviews across platforms. AI engines, especially Google AI Mode and Perplexity, start weighting this more noticeably. Businesses that go from 12 reviews to 45 reviews in this period often see the clearest jump in citation rates, because the volume change is large enough to shift how confidently an engine describes their reputation.
If you published FAQ content or added structured content to your service pages in the first month, this content starts appearing in Perplexity citations in this window. Perplexity does live retrieval, so there is no training cutoff to wait for: good content that answers local queries gets surfaced relatively quickly once it's indexed. Third-party mentions take longer, but any press mention or directory listing you pursued in month one may start appearing in engine results by the end of month three.
What to measure
Check your review count across platforms and track the trajectory. Run the visibility check again. At this point you should be seeing meaningful movement in at least two of the five engines if your foundation is solid and you have maintained the review ask process. The engine most likely to show movement first is Google AI Mode for searches where you previously had a clean GBP. The engine least likely to show movement yet is ChatGPT, which draws heavily on training data with longer update cycles.
Months 3 to 6
Compounding signals and training data
Third-party mentions start to matter much more. A local business that has earned mentions in two or three publications, been included in a curated local guide, or had a customer post about them in a community thread is now meaningfully more citeable than one that only has self-published signals. AI engines, especially ChatGPT and Claude, weigh these external signals heavily because they are harder to manufacture than a completed GBP field.
Named human authorities also start showing up in citations in this window. If you added bio pages for the practitioners or owner in month one, those pages have now had time to be indexed and cross-referenced against LinkedIn, professional directories, and other sources. Claude in particular starts citing businesses more confidently when it can verify a named human behind the services. ChatGPT's training data updates on a cycle that means changes you made in months one and two may only now be appearing in its responses. If you have been invisible in ChatGPT throughout the process, this is often the window where that starts to change, especially if you have earned external mentions during the period.
What to measure
Keep running the visibility check monthly. By month four, you should be appearing in at least three of the five engines on most of your target queries if your work has been consistent. By month six, a business that started with a weak foundation and fixed it systematically should see a citation rate substantially higher than where it started, often three to four times the baseline. If you are strong in Google AI Mode and Perplexity but still weak in ChatGPT, the gap is historical web presence and third-party mentions need more time or more volume. If you are visible in ChatGPT but not in Claude, schema depth and named authority content are the specific work remaining.
What progress actually looks like month by month
To make this concrete: a local business that starts at a 12% citation rate (3 out of 25 engine-query combinations) and does consistent GEO work typically sees a trajectory something like this:
| Month | Citation rate range |
|---|---|
| Month 1 | 12% (baseline) |
| Month 2 | 16 to 20% |
| Month 3 | 24 to 32% |
| Month 4 | 36 to 44% |
| Month 5 | 44 to 56% |
| Month 6 | 52 to 68% |
These are ranges, not guarantees. Competitive markets and categories with low AI query volume move more slowly. Businesses that work all the signals compound more steeply than those that stop at the foundation.
The signals that stall progress
Most GEO efforts that plateau or underperform have one of four problems:
Inconsistent review askStarting a review process and then letting it drop can slow progress more than a steady, modest ask process. Engines can see review velocity declining. A business that went from 2 reviews per month to 12 and then back to 1 looks like a business in trouble.
Foundation fixed but third-party mentions never pursuedYou can have a perfect GBP and a beautifully structured website and still plateau in the 30 to 40% range if no external sources are talking about you. The ceiling for self-published signals is real. Getting past it requires mentions from sources outside your own platforms.
Content published but not structuredBlog posts and service page copy that is not structured around actual customer questions does not get surfaced by Perplexity and does not get cited by Claude. Content that answers questions directly, in a format that can be extracted cleanly, performs far better than the same information buried in narrative prose.
Measuring too early and adjusting too fastMaking changes every two weeks based on citation data that has not had time to reflect the previous changes is the GEO equivalent of adjusting your ad bids hourly. The signals take weeks to propagate. Measure monthly, adjust quarterly.
What 6 months of good GEO work gets you
A business that maintains consistent GEO work for six months ends up in a fundamentally different competitive position than one that does not. Not because any individual signal is revolutionary, but because the signals compound.
A complete GBP, 60 recent reviews across three platforms, FAQ content indexed and surfaced by Perplexity, a named owner with a bio page that Claude can cross-reference, two or three external mentions that ChatGPT has incorporated into its picture of the business, and a Grok presence built from genuine customer social mentions: that is a business that AI engines can describe with confidence, recommend without hesitation, and cite repeatedly when relevant queries come in.
The businesses that start this work now are compounding a signal advantage that will be significantly harder to close in 2027. AI engines, like Google before them, reward businesses that have been consistently visible for longer. Early signals carry weight that late signals cannot easily replicate.
Six months from now, you either have that compound or you do not. The difference is not whether you knew about GEO. It's whether you started.
Frequently asked questions
How long does it take to see GEO results?
Most businesses see early movement in Perplexity and Google AI Mode between 30 and 60 days after fixing their foundational signals. ChatGPT takes longer because it draws on training data with longer update cycles. A meaningful improvement across all five engines typically takes three to six months of consistent work.
What is a realistic citation rate improvement over six months?
A business starting at a 12% citation rate that maintains consistent GEO work typically reaches 52 to 68% by month six. Businesses in highly competitive markets or those that focus only on foundational signals without pursuing third-party mentions tend to plateau in the 30 to 40% range.
Why do GEO signals take so long to propagate?
Because AI engines draw on a picture of your business assembled from dozens of sources. When you fix your GBP, Google has to re-crawl the change, third-party data mirrors have to update, and then AI retrieval systems have to incorporate those updated sources. Depending on the engine, that cycle takes days to several weeks. Training-data-heavy engines like ChatGPT update on a longer cycle still.
What causes GEO efforts to plateau?
The four most common causes: inconsistent review ask (engines can see velocity declining), fixing the foundation but never pursuing third-party mentions, publishing content that is not structured around actual customer questions, and measuring too early and adjusting too fast before signals have had time to propagate.
What should I measure at each stage of GEO work?
At day 30, measure completeness: GBP fields, NAP consistency, and schema validity. At day 60, run the same visibility check you did at the start and look for appearances in queries where you were previously absent. At day 90, track review count trajectory and look for movement in at least two of the five engines. From month three onward, measure monthly and look at citation rate trends rather than individual engine results.
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