Set a clean baseline, protect what converts, and expand where intent is strong.
SEO teams are recalibrating in 2025. With visibility data shifting and AI Overviews changing user behavior, the old ways of measuring performance no longer tell the full story. Google’s retirement of the num=100 parameter and the August 2025 spam update reset how third-party tools see the SERP and how teams interpret GSC trends. At the same time, AI Overviews reduce clicks for many informational queries. Content gap analysis has moved from nice-to-have to the center of strategy because it refocuses teams on defendable BOFU demand, validates MOFU opportunities, and replaces noisy rank snapshots with actionable insights.
For context: TOFU (top of funnel) content is broad awareness and education, MOFU (middle of funnel) content helps people evaluate solutions, and BOFU (bottom of funnel) content is where decisions and conversions happen.
Why impressions dropped and average position rose in 2025
Impressions fell because tools no longer capture deep SERP pages, while AI Overviews absorb clicks from informational searches. Average position improved because those very low rankings are no longer counted. This is not a collapse in rankings but a reset in how visibility is measured.
The September 2025 removal of the num=100 parameter forced third-party crawlers to fetch results page by page. Most platforms now stop after page three, which means long-tail positions beyond that point disappear from datasets. On paper, impressions shrink while average position looks better, even when competitiveness has not changed. Another side effect: CTR averages may look better. That’s not because users are suddenly clicking more, but because those inflated impressions from deep SERP positions have disappeared, leaving you with a truer picture of actual click behavior for terms that were showing for actual human searchers.
AI Overviews now appear more often on informational queries, resolving many top-of-funnel searches directly in the results. As a result, fewer clicks reach traditional listings, and TOFU content feels the biggest impact. BOFU queries remain more resilient, while MOFU results sit in the middle.
Takeaway: These shifts highlight how impressions and average position can mislead. Many teams now use them as directional signals while focusing their deeper analysis on clicks and conversions.
Content Gaps After num=100: How to Set New Baselines
With the num=100 parameter gone, most third-party tools now stop crawling results after page three. That means impressions tied to very low-ranking terms no longer appear in your datasets. If you continue comparing against older reports, it will look like your site lost visibility when in reality the measurement system changed.
The best way to avoid confusion is to set a fresh baseline. Export the last 12 months of GSC data by query and page, and mark mid-September 2025 as the point where the shift took effect. From there, segment results by page type and funnel stage so you can see where changes really matter—whether they hit high-value conversion pages or mainly affect top-of-funnel content. Be sure to note seasonality and campaign spikes so they do not distort your comparisons.
Takeaway: Treat September 2025 as a line in the sand. Once you have a clear before-and-after baseline, your content gap analysis will rest on consistent data instead of noisy or misleading signals.
Is it site, intent, or competitors? Start with triage
When performance shifts, the first step is to diagnose in order: site health, intent alignment, then competitors. This keeps you from chasing the wrong fix or blaming an algorithm when the issue lies closer to home.
Start by checking whether the site itself is the cause. Run a crawl for errors, confirm indexing, and match traffic changes against site updates. Use your own framework for identifying traffic shifts to see if technical or tracking changes are behind the drop.
Next, evaluate intent alignment. Even if the page is technically sound, it may not satisfy the query as well as other results. Review query-to-page mapping in GSC and ask whether your content fits the intent of the search. Sometimes when impressions shift it is not a loss of visibility at all. Google may be testing a different page in the funnel, which means traffic is “sloshing” from one section of the site to another.
Finally, examine competitors. If your site is healthy and intent is strong, look for areas where others are gaining ground with content you do not have, or with fresher updates. This is where content gap analysis becomes the most valuable lens. With many rank trackers now limiting coverage to the top three pages, gap analysis helps create a group consensus on the queries that matter. When multiple competitors appear for the same terms, you can trust those results represent real opportunities in the SERPs, even if individual datasets look incomplete.
Takeaway: Clear triage separates internal fixes from external competition. It also helps you explain to stakeholders that not all drops are losses. In some cases traffic is simply being redistributed.
Why content gap analysis matters more now
The way SEO tools collect data has changed, filtering out much of the noise from low-value rankings. While this means fewer outlier signals to guide adjacent topic discovery, what remains highlights the queries most likely to drive meaningful traffic and reveal competitive priorities. Instead of sorting through dozens of irrelevant long-tail queries, teams can focus on the overlaps that competitors are actively winning.
Example: Before September 2025, a content gap report could pull in hundreds of queries where your site ranked beyond page five. Most of that noise had little commercial value, but it still had to be filtered out before a project could move forward. At the same time, those outliers sometimes offered clues about adjacent topics or discussions tied to your core functional areas. That context is harder to find now. With tracking capped at page three, the remaining data is leaner, but the gaps you see are far more likely to represent queries with real demand and competitive overlap.
One advantage of gap analysis is that it creates a shared view when vendor coverage diverges. Since most tools now limit themselves to the top three pages, their datasets often disagree at the margins. Comparing multiple competitors side by side helps smooth out those blind spots and highlights the clusters that consistently matter.
Gap analysis also shortens the path from insights to action. Once you see where competitors rank and you do not, it is easier to translate findings into content briefs and move quickly into production. The gaps are cleaner, more defensible, and closer to the buyer journey than before.
Takeaway: Content gap analysis connects directly to how teams optimize for AI search. Filling the right gaps increases your chance of appearing in AI Overviews and other answer surfaces, where precision matters more than volume.
BOFU first, MOFU next, TOFU when it pays
Defend what converts before you chase expansion.
Once you have completed a content gap analysis, the next step is deciding what to do with the findings. Not all gaps deserve equal attention. The most efficient strategy is to work from the bottom of the funnel upward: protect conversion pages first, expand into solution-aware content next, and only invest in broad awareness where evergreen value exists.
BOFU: Protect what drives revenue
Start with the keywords that already generate conversions. These are your most vulnerable assets if competitors move in. Audit product, service, or lead-gen landing pages to confirm they satisfy search intent and remain competitive. Watch for intent drift, such as SERPs shifting from direct offers to listicles or comparisons, and refresh your content accordingly.
Action: Build a “defend list” from your gap analysis and treat it as a recurring priority queue. Keeping revenue pages secure should always come first.
MOFU: Expand where competitors cluster
Next, focus on solution-aware clusters where two or more competitors rank and you do not. These are signals of validated demand. Educational and comparison content is key here, especially direct feature-based comparisons between competitors and your own offering. If you do not write those comparisons, someone else will, and they will earn both the AI citations and the organic visibility. Prioritize competitive deltas where overlap is heavy, since that overlap signals commercial importance.
Action: Translate MOFU gaps into structured briefs that define search intent, content type, and supporting assets. These are the projects most likely to shift market share in your direction.
TOFU: Invest selectively in evergreen
Top-of-funnel content should be pursued only when it can deliver lasting value. Favor evergreen content that remains useful over time and has the potential to attract citations. Link to the evergreen content life cycle and the benefits of evergreen content to reinforce this principle. Glossaries, definitions, and explainers can play well in AIO surfaces, while broader guides can help strengthen topical authority. Treat TOFU as a support layer that feeds the middle and bottom of the funnel, not as a primary traffic driver.
Action: Create TOFU only when it helps advance MOFU and BOFU goals. Track its role in journey completion rather than chasing raw traffic numbers.
Takeaway: A content gap analysis is not just a list of missing keywords. It is a funnel strategy. Protect bottom-of-funnel assets, grow into middle-of-funnel solution spaces, and only invest in top-of-funnel awareness where evergreen value justifies the effort.
Step-by-step content gap checklist
A content gap analysis only delivers value if you move from findings to action in a structured way. This checklist keeps the process repeatable and tied to business outcomes.
- Lock the baseline and annotate the date. Anchor your analysis by marking the September 2025 visibility reset.
- Pick 5–8 real SERP competitors. Choose based on product and journey fit, not brand perception.
- Export rankings data from a trusted source. Tools like AHREFs remain reliable, though most trackers now only capture the top three pages.
- Bucket keywords into four groups: Defend, Striking distance, Pure gaps, Outliers.
- Score queries by business value and funnel stage. Prioritize by BOFU, MOFU, and TOFU impact rather than search volume alone.
- Create briefs with the right elements. Define intent, outline queries, add secondary questions as H3s, and include assets, schema, and internal links. Provide an AIO-ready summary for answer engines.
- Publish, measure, and refine. Let search data accumulate, then revisit. Audit for coverage, accuracy, and freshness. Update or retire content that no longer drives results.
Takeaway: A content gap analysis is not complete when gaps are identified. It is complete when findings are translated into briefs, briefs into assets, and assets into measurable results.
What to measure now that impressions changed
Since impressions no longer reflect long-tail exposure, reporting needs to shift toward metrics that connect directly to conversions, competitive visibility, and AIO presence.
Primary: Business-driven metrics
Track qualified clicks that reflect your target audience, assisted conversions where content supports the buyer journey, and pipeline value by page. These measures show how SEO contributes directly to growth.
Secondary: Competitive visibility metrics
Focus on SERP share in the top 30 results instead of the top 100, since that aligns with where meaningful clicks occur and what most trackers now capture. Compare your positioning against the competitor set used in your content gap analysis to see who is gaining or losing ground.
Directional: Emerging surface metrics
Monitor how your content appears in AI-driven experiences. Track presence in AI Overviews, note when your brand is cited or attributed, and identify the query types most likely to trigger AI results. These signals may not map directly to revenue yet, but they shape long-term visibility and provide early warnings about shifts in the search experience.
Takeaway: Impressions have lost much of their diagnostic value. A modern SEO scorecard balances business-driven outcomes, competitive visibility, and early indicators from emerging search surfaces.
Frequently Asked Questions
Did removing num=100 hurt my rankings?
No. The change affected how tools collect data, not how users see your rankings.
Why do impressions drop while average position improves?
Because most trackers no longer log very low rankings, impressions fall while average position rises. It’s a reporting artifact, not a ranking change.
How do I know if AI Overviews are affecting my site?
Track when AIO appears for your target queries, and monitor your brand’s presence or citations within those results. Pair this with changes in CTR for affected terms.
How often should I repeat content gap analysis?
Quarterly reviews are a practical cadence, with more frequent checks if your market is highly competitive or fast-moving.
What if my rank tracking tools disagree?
Use competitor overlap as a consensus signal. If several competitors appear for a term you do not, that gap is real even if tool datasets differ.
Is TOFU content still worth creating?
Yes, but selectively. Build TOFU content where it has evergreen potential or supports BOFU and MOFU journeys. It should strengthen authority, not serve as a traffic vanity metric.
